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Al-Ibraheem, A.; Abdlkadir, A.S.; Juweid, M.E.; Al-Rabi, K.; Ma’koseh, M.; Abdel-Razeq, H.; Mansour, A. FDG-PET/CT in the Monitoring of Lymphoma Immunotherapy Response. Encyclopedia. Available online: https://encyclopedia.pub/entry/41561 (accessed on 25 December 2024).
Al-Ibraheem A, Abdlkadir AS, Juweid ME, Al-Rabi K, Ma’koseh M, Abdel-Razeq H, et al. FDG-PET/CT in the Monitoring of Lymphoma Immunotherapy Response. Encyclopedia. Available at: https://encyclopedia.pub/entry/41561. Accessed December 25, 2024.
Al-Ibraheem, Akram, Ahmed Saad Abdlkadir, Malik E. Juweid, Kamal Al-Rabi, Mohammad Ma’koseh, Hikmat Abdel-Razeq, Asem Mansour. "FDG-PET/CT in the Monitoring of Lymphoma Immunotherapy Response" Encyclopedia, https://encyclopedia.pub/entry/41561 (accessed December 25, 2024).
Al-Ibraheem, A., Abdlkadir, A.S., Juweid, M.E., Al-Rabi, K., Ma’koseh, M., Abdel-Razeq, H., & Mansour, A. (2023, February 22). FDG-PET/CT in the Monitoring of Lymphoma Immunotherapy Response. In Encyclopedia. https://encyclopedia.pub/entry/41561
Al-Ibraheem, Akram, et al. "FDG-PET/CT in the Monitoring of Lymphoma Immunotherapy Response." Encyclopedia. Web. 22 February, 2023.
FDG-PET/CT in the Monitoring of Lymphoma Immunotherapy Response
Edit

Cancer immunotherapy is a type of cancer treatment that uses the immune system to fight cancer cells. Some of these treatments stimulate the immune system, while others prime the immune system to identify better and target cancer cells. In parallel with the implementation of cancer immunotherapy, therapy-specific FDG PET/CT response criteria were explicitly designed specifically for that purpose. FDG PET/CT plays a key role in the newly developed response criteria, and several FDG PET/CT-based criteria have been proposed to address all patterns of response to therapy, including indeterminate response, pseudoprogression, and hyperprogression using several metrics, such as SUV, MTV, and TLG. This research aims to discuss the effects and side effects of cancer immunotherapy and to correlate this with the proposed criteria and relevant patterns of FDG PET/CT in lymphoma immunotherapy as applicable. Additionally, the latest updates and future prospects will be explored.

immunotherapy immunotherapy in lymphoma FDG PET/CT metabolic PET parameters lymphoma immunotherapy response criteria immuno-PET

1. Introduction

Lymphoma immunotherapy is becoming more appealing over time, as evidenced by the wide variety of approved therapy options that are now available for certain stages and subtypes of lymphoma [1][2][3]. Applying this therapy in clinical practice has broadened the concept of lymphoma treatment, as it can fight tumor biology in addition to on-site disease eradication [4]. Management of lymphoma has seen great advances in recent years, with a shift in focus to immunotherapy in the last three decades [5]. This has translated to FDA approval of several immunotherapies. Positron emission tomography coupled with computed tomography (PET/CT) allows for better evaluation of response to immunotherapy in FDG-avid lymphomas, as well as providing prognostication insights [6]. Metabolic PET parameters are reliable predictors in the context of absent alternative biomarkers.

2. Histrory of Cancer Immunotherapy: Classification, Previous and Current Facts

The concept of cancer immunotherapy has been explored and studied since the 19th century [7]. However, its clinical implementation remained debatable until the approval of the first immunotherapy drug in 1976 (Figure 1). The first generation of immunotherapy relies on the action of vaccines to boost the immune response. This was followed by the utilization of anti-tumor cytokines, monoclonal antibodies, oncolytic viruses, and adoptive cell therapies to recruit immune cells against certain types of cancers. Thus far, there are many types of cancer immunotherapies that are implemented in lymphoma treatment.
Figure 1. Timeline Depicting the shift of focus in cancer immunotherapy over the last three decades in favor of lymphoma.

2.1. Previous Footprints

After years of research and experimentation, it became evident in the last century that certain bacterial vaccines, such as Bacille Calmette-Guérin (BCG), could recruit immune cells to inhibit the recurrence of urinary bladder cancer [4][8]. This approach remains active and is still adopted in clinical practice. This progress led to the adoption of the cytokine family later on. Cytokines were found to be effective in inhibiting tumor cell proliferation and enhancing cancer apoptosis [9]. The timeframe between interferon discovery and adoption witnessed the discovery of interleukins (IL), namely IL-2. IL-2 was found to be effective in treating advanced renal cell carcinoma (RCC) and metastatic melanoma [10][11].
With the aim to reinforce passive immunotherapy, researchers are investigating new ways to harness the power of the immune system to fight cancer. One promising area of research is using viruses to target cancer cells and boost the immune system’s response to the tumor environment [12]. This approach has shown success in treating melanoma with genetically modified herpes viruses [13][14].

2.2. Monoclonal Antibodies: From Rituximab to Immune Checkpoint Inhibitors

Immunomodulating antibodies were studied extensively in the 1990s, and rituximab emerged as a prototype for many other monoclonal antibodies in 1997 [8][15]. It is incorporated with cyclophosphamide, doxorubicin HCl, vincristine, and prednisone in the R-CHOP protocol for the treatment of diffuse large B-cell lymphoma (DLBCL) [16][17][18][19]. The adoption of the immunochemotherapy protocol (R-CHOP) has been shown to have a much higher survival impact compared to standard chemotherapy protocols [20].
Under the same umbrella, immune checkpoint inhibitors (ICI) became approved and available for many cancer types. The FDA approved the use of ipilimumab in 2011 as a therapy for advanced melanoma [21][22]. In 2016, Nivolumab attained the same approval as the first programmed cell death protein 1 (PD-1) inhibitor for the treatment of Hodgkin’s lymphoma (HL) [23]. Within the following year, another anti-PD-1 inhibitor (pembrolizumab) was approved. The current range of ICI drugs use checkpoint blockade as their primary mode of action, yet there are distinctions between the various subclasses. To date, only a limited number of ICIs have been approved for clinical use by the FDA (Table 1), with others likely to follow in the foreseeable future. The ICI has been shown to be effective in clinical settings against HL cells and the tumor microenvironment [24]. The programmed death ligand-1 programmed cell death protein (PD-L1) is potentially blocked and inhibited through ICI administration, which was observed in 70% of cases [25]. This inhibitory pathway can terminate tumor growth and stimulate the immune system against HL cells [26][27].
Table 1. List of approved immunotherapies for lymphoma.
1 mAb: Monoclonal Antibody; 2 NHL: Non-Hodgkin’s Lymphoma; 3 HL: Hodgkin’s Lymphoma, 4 ICI: Immune Checkpoint Inhibitor; 5 cHL: Classical Hodgkin’s Lymphoma; 6 CAR-T: Chimeric Antigen Receptor Therapy; 7 BiTes: bispecific T-cell engagers.
More recently, FDA approval of Brentuximab Vedotin (BV)was attained in 2018. Approval was gained after successful results obtained from a randomized clinical trial of 1334 patients that have received either BV plus doxorubicin, vinblastine, and dacarbazine (BV-AVD) or bleomycin plus AVD (ABVD) [28]. At first, BV was granted approval to treat advanced adult HL, followed by recent FDA approval of pediatric untreated classical HL.

2.3. Adoptive Cell Therapy

In recent years, researchers have become more interested in targeting both genetic and cellular abnormalities in tumors in order to better control cancer growth and spread [29]. A new type of T cell therapy, known as chimeric antigen receptor therapy (CAR-T), has emerged as a promising treatment option [30]. In this therapy, T cells are taken from a patient’s blood and modified to express artificial receptors specifically targeted at a particular tumor antigen [31]. This allows the T cells to bind to and kill the cancer cells while leaving healthy cells unharmed. In detail, the patient’s T-cell will be equipped with an artificial CAR. These receptors are composed of an antibody-derived single-chain variable fragment, a transmembrane, and a signaling domain [32]. The CAR segment will allow T-cells to target tumor antigens. Through antigen binding, the CAR will induce cytokines recruitment and proliferation against receptor-specific cancer cells [33].
CAR-T cells were approved for use in leukemia in 2017 and then for lymphoma in the following year [34][35][36]. CAR-T cells represent a major advancement in the field of immunotherapies. This is evident from the fact that two CAR-T cells, Yescarta (axicabtagene ciloleucel) and Kymriah (tisagenlecleucel), are commercially available [6].

2.4. Bispecific Antibodies: The Most Recent Addition to the Group

Bispecific antibodies, also known as bispecific T-cell engagers (BiTes), are novel protein constructs that target both B-cells (CD20) and T-cells (CD3) [37]. These include Mosunetuzumab, Glofitamab and Epcoritamab. Mosunetuzumab is already FDA/EMA approved for use in r/r Follicular lymphoma (FL). The remainder of BiTes are on the way to being granted the same approval.

3. Current Applications of PET/CT in Lymphoma Immunotherapy

The lack of reliable biomarkers to measure immunotherapy response has made FDG PET/CT response criteria more useful. This hybrid imaging modality can use various metabolic parameters to predict and evaluate therapy response. In fact, FDG PET/CT is the only imaging modality with the ability to evaluate therapy response and demonstrate metabolic aspects of immunotherapy-related side effects [38].

3.1. Response Patterns

The response to immunotherapy varies among patients, with most experiencing a good initial response [27]. However, some patients may demonstrate different patterns of response after therapy administration (Figure 2).
Figure 2. Graphical presentation of different response patterns achieved after lymphoma immunotherapy administration.

3.1.1. Pseudoprogression

Some patients may initially appear to experience disease progression (known as pseudoprogression) before ultimately achieving a favorable clinical picture [39]. This false positive pattern was first reported in 15% of patients receiving anti-CTLA4 therapy [39]. The need to correct initial erroneous positive results necessitates the implementation of new response criteria [40][41]. Pseudoprogression was first observed in solid tumors and later reported in lymphomas, introducing additional confusion in PET-driven response assessment [27][42][43]. Rather than being indicative of actual progression, pseudoprogression is more similar to a flare phenomenon caused by massive immune stimulation (Figure 3) [27]. It is also possible that a delayed immunologic response may contribute to pseudoprogression [44]. The maximum increase in tumor burden linked with pseudoprogression has been reported to range from 20% to 163% [45]. During the initial phases of therapy, immune cells may be recruited into the tumor microenvironment, leading to a temporary increase in tumor size and metabolic activity [27]. However, pseudoprogression can be confirmed during follow-up imaging through eventual tumor regression and favorable clinical outcomes [46]. Nonetheless, it remains important to weigh the possibility of initial radiographic progression being pseudoprogression against the potential for true progression. A biopsy of enlarged lesions for pathologic review may be helpful in identifying pseudoprogression [47]. McGehee et al. reported a case of pseudoprogression in a T-cell lymphoma patient [48]. In addition to being symptom-free, the biopsy for the patient was negative, ruling out disease progression [48]. The same findings were previously mentioned in a case series [49].
Figure 3. Serial Maximum Intensity Projection (MIP) images of an HL patient demonstrating pseudoprogression pattern during the interim period.
Although biopsy of enlarged lesions can be helpful in distinguishing pseudoprogression from true disease progression, it is not always practical for some patients (Figure 4). For example, asymptomatic patients usually tend to express this pattern later on (Figure 5). Therefore, clinical correlation and careful follow-up are the keys to better tracing the disease’s progress. Pseudoprogression is usually accompanied by an initial increase in tumor size but not by a deterioration in the patient’s clinical condition or performance status. Genuine disease progression, or hyperprogression, on the other hand, is often accompanied by a deterioration in the patient’s condition.
Figure 4. A fish bone diagram demonstrating the difference between pseudoprogression and hyperprogression.
Figure 5. Schematic showing clinical, histopathological, and imaging differences between pseudo-progression and hyperprogression.

3.1.2. Hyperprogression

More recently, a permanent progression has been observed and evidenced by the increased rate of tumor growth [50][51]. This was supported by Phase 3 clinical trials, which demonstrated decreased survival outcomes in some patients who underwent immunotherapy treatment [50][51]. Under the category of hyperprogression, this pattern most commonly affects elderly patients and has been noted in up to 29% of patients receiving immunotherapy [52][53]. In hyperprogression, there is evidence of a dramatic tumor growth rate associated with clinical worsening [50]. When comparing baseline imaging with initial therapy imaging, there is a minimum of a twofold increase in overall tumor burden (Figure 6). In such cases, the only choice is to terminate immunotherapy [50][51].
Figure 6. Serial Maximum Intensity Projection (MIP) images of an HL patient demonstrating a hyperprogression pattern.

3.1.3. Potentiating Abscopal Effect

The findings suggest that combining radiotherapy with immunotherapy may boost the abscopal effect of local radiotherapy treatment (Figure 7) [27]. This response pattern was first observed in the 1950s after researchers noted clinical responses at distant metastatic sites following the administration of locoregional radiotherapy [54]. Later research showed that this phenomenon is mediated by T cells and that the incidence of the abscopal effect is favorable in immunocompetent patients [55]. Enhancing immune system response through immunotherapies can therefore result in a potential synergistic effect [56][57]. Researchers are still working to determine the exact mechanism of this effect after several reported clinical cases [56][57].
Figure 7. Graphical presentation of proposed abscopal effect mechanism.

3.2. PET Response Criteria in Lymphoma

Given the lack of biological markers to assess the efficacy of immunotherapy [58]. It was necessary to create therapy-specific criteria to assess the wide array of response patterns encountered.

3.2.1. Lugano Classification

The Lugano criteria are widely used in studies and clinical trials of immunotherapy drugs, despite being non-specific for immunotherapy response [59][60][61]. The criteria provide a solid foundation for future therapy-specific response criteria [46][62]. In 2014, the Lugano classification was adopted by a team of specialists in oncology, hematology, radiology, and nuclear medicine [26]. This classification uses metabolic PET parameters to assess response to therapy at the end of therapy (EoT) and during the interim period (iPET) [63]. Since then, it has been considered the gold standard interpretation criteria for FDG-avid lymphomas [63][64]. The Lugano study introduced a five-point scale for assessing metabolic response instead of using a dichotomous response pattern [65]. The ordinal scale, consisting of five Deauville scores (DS) (Table 2), was used to examine the degree of response [26]. The degree of response can be measured by qualitative visual assessment of FDG uptake within the most intense residual lymphomatous lesion identified during EoT or i-PET [26]. The retrieved values are then visually compared to reference metabolic values derived from the background, mediastinal blood pool, and liver. The complete metabolic response is indicated if the Deauville 5-point scale (5PS) is between 1–3. A score of 4 or 5 on the five-point scale, with evidently reduced uptake since the baseline study, is indicative of partial metabolic response (PMR) [63]. A DS of 4 or 5 can also indicate disease progression (PD) when there is evidence of increased uptake since the baseline study, with or without the interval development of new FDG avid lymphomatous disease process [63].
Table 2. Lugano classification and deauville 5-point scale (D5PS) in FDG-avid lymphomas.

3.2.2. Lymphoma Response to Immunomodulatory Therapy Criteria (LYRIC)

The introduction of immunotherapy has necessitated modifications to the previously established Lugano classification in order to account for pseudoprogression [66]. This transient pattern of response, characterized by an increase in tumor size and metabolic flare, can make it difficult to determine if a patient is truly progressing or if their disease is simply pseudo-progressing [67]. In 2016, the LYRIC group introduced a new category of response, labeled the Indeterminate Response (IR), to account for this pseudoprogression pattern [65]. If there is suspicion of pseudoprogression, a patient can be classified as IR, and therapy can be continued for up to 12 weeks before a definitive confirmation is made [27]. After that point, follow-up FDG PET/CT imaging can be used to discriminate between true progression and pseudoprogression. Additionally, histopathologic confirmation can be pursued to better understand the disease pattern [46].

3.2.3. Response Evaluation Criteria in Lymphoma (RECIL)

In an effort to harmonize lymphoma response criteria in clinical trials, RECIL revolutionized the way to evaluate immunotherapy [62]. Anatomically, lesions measurement was modified to include only unidimensional measurement of the long diameter of three selected target lesions [62]. In addition, RECIL proposed measuring and comparing the difference in tumor burden. As a result, complete response (CR) has replaced CMR and would require at least a 30% reduction in tumor burden in addition to a DS range of 1–3 [62]. In a parallel fashion, a higher DS of 4–5 would indicate a PR, achieving a reduction in tumor burden of at least 30% [62]. A new category labeled as a minor response has been proposed in cases of at least 10% tumor burden reduction, not exceeding the 30% threshold [62]. A stable disease pattern can be observed if the range of change in the tumor burden lies between −10% and +20%. Otherwise, disease progression implies a value of more than a 20% increase in tumor burden, with or without the appearance of a new lesion [62]. It is noteworthy that both the PD and minor response categories do not require correlation with 5PS [62]. Additionally, disease relapse is considered when a newly appearing lesion exceeds 1.9 cm in the long axis [27][62].

4. Influence of FDG PET/CT in Hodgkin’s Lymphoma (HL)

HL is known for its high FDG avidity and chemosensitivity [68][69][70]. Previous research has focused on exploring standard therapeutic protocols to determine therapy response and outcome [68][69][70][71]. However, with the emergence of new lines of cancer immunotherapy, new treatment protocols have been introduced, accompanied by new PET/CT response criteria specific to lymphoma immunotherapy [62][65].

4.1. Immune Checkpoint Inhibitors

The idea behind the ICI mechanism has led to the first clinical trial conducted by Ansell et al. [72]. This first clinical trial reported a response rate of nearly 90% in relapsed or refractory (R/R) HL cases treated with nivolumab [72]. In a similar fashion, the efficacy of pembrolizumab in BV-relapsed HL was examined, resulting in an overall response rate (ORR) of about 65% [73]. In the last decade, a few other clinical trials and studies have been conducted to evaluate the safety and efficacy of anti-PD1 agents, such as nivolumab and pembrolizumab for R/R HL, which have led to FDA approval of these agents for this use [74][75]. In one of the earliest studies exploring the role of FDG PET/CT in anti-PD1 immunotherapy, Dercle et al. found that among 16 patients with HL, 4 achieved complete metabolic response after 6 months of therapy [61]. The same patients were then analyzed to determine patterns of response, and it was found that 9 out of 16 patients had objective response [76]. These findings confirmed the reliability of FDG PET/CT in assessing response to immunotherapy [76]. Metabolic PET parameters were also found to be significant outcome predictors. A study by Castello et al. found that metabolic PET parameters are significant outcome predictors in patients with R/R HL treated with pembrolizumab [59]. A total of 43 patients were enrolled, and after a median follow-up of 19 months, the responder group had lower DS and SUV max values when compared with the non-responder group [59]. Additionally, progression free survival (PFS) was found to be longer in the responder group [59]. Despite the previously stated achievements of ICI in clinical settings, long-term benefits are still not adequately studied [77]. Many recent studies have explored the potential benefits of combining immunotherapy with other treatment protocols for patients with advanced HL [78][79][80]. One such study found that the combination of nivolumab with BV vedotin plus doxorubicin and dacarbazine was highly effective, with more than 90% of patients achieving an ORR of 93% [81]. A recent multicentric study incorporating two novel agents including Nivolumab and BV explored disease response following 3 cycles of BV-AVD at an interim period in limited HL patients [82]. Patients with iPET negative results received consolidation therapy with nivolumab, while iPET-positive patients received four cycles of Nivolumab plus BV followed by Nivolumab Consolidation [82]. All iPET negative patients achieved CR after assessment by PET/CT at EoT [82]. iPET positive patients was found only in two patients, one of which achieved CR at EoT while the other one has DS of 4 achieving CR after switching to radiotherapy due to treatment side effects [82]. These findings suggest that the combination of different treatment protocols may be a promising approach for improving outcomes in HL.

4.2. Brentuximab Vedotin (BV)

After the approval of immune checkpoint inhibitors for HL, another monoclonal antibody became available, BV, for the treatment of both adult and pediatric patients. The efficacy of the drug was explored in many trials through the use of FDG PET scans for therapy response [83][84][85]. These studies showed an ORR of around 70%. Additionally, Kahraman et al. examined the efficacy of BV in clinical settings through the use of FDG PET/CT scans to monitor therapy outcomes in cases of R/R HL [86]. At the interim period and after a median follow-up of 16 months, PFS was significantly prolonged in patients with negative interim PET results compared to positive interim results [86]. A recent study confirmed the previous observation that patients with negative iPET results have improved PFS and overall survival (OS) compared to those with positive iPET results [87].
BV was also incorporated as frontline therapy substituting Bleomycin in BV-AVD regimen. This treatment protocol was tested in phase III ECHELON 1 study [88]. The main aim was to compare standard ABVD treatment vs. BV-AVD combination for patients with advanced HL [88]. The trial included six cycles of treatment, and an iPET was performed after cycle 2 [88]. A modified PFS was implemented counting any event of additional anticancer therapy as part of progression in patients exceeding 5PS of 3 [88]. The modified 2-year PFS for those receiving BV-AVD was 82.1%, while the PFS for those receiving ABVD was 77.2% (p = 0.04) [88]. A recent post hoc analysis has found that patients with stage IV disease and extranodal sites seem to benefit the most from BV-AVD in terms of modified PFS [28]. It’s noteworthy that the modified PFS benefit with BV-AVD was largely limited to patients who had a positive iPET (DS of 4–5) after 2 cycles of therapy (57.5% vs. 42.0%; HR, 0.61; 95% CI, 0.34–1.09 vs. 85.2% vs. 80.9%; HR, 0.77; 95% CI, 0.59–1.02 for those who had a negative iPET) [89]. Similarly, standard PFS was calculated for north American subgroup and was found to be higher in BV-AVD arm (88.1% vs. 76.4%; HR, 0.50; 95% CI, 0.32–0.79; p = 0.002) [90]. The ECHELON-1 trial results suggest that adding BV to AVD regimen may increase efficacy of initial therapy, for patients with advanced HL.
In an effort to minimize toxicity at escalation, The German Hodgkin Study Group has tested variations of the regimen in which BV is added to frontline therapy [91]. These regimens do not contain bleomycin or vincristine in an effort to prevent the worsening of pulmonary toxicity or neuropathy. Procarbazine was changed to dacarbazine in one variant to lessen the risk of secondary leukemia [91]. 104 patients with stages IIB to IV HL participated in a phase 2 trial where they were randomly assigned to receive either 6 cycles of brentuximab vedotin, etoposide, cyclophosphamide, adriamycin, procarbazine, and prednisone (BrECAPP) or 6 cycles of brentuximab vedotin, etoposide, cyclophospham (BrECADD) [91]. The 18-month PFS estimates were 95% and 89% for patients receiving BrECAPP and BrECADD, respectively, with a median follow-up of 17 months [91].
Advanced HL cases were assessed with PET derived metrics to determine the predictive value. A study by Gavane et al. included 45 patients with R/R HL treated with BV-based salvage therapy [92]. It was observed that several baseline metabolic PET parameters, including metabolic tumor volume (MTV), total lesion glycolysis (TLG) and SUV peak, provide significant prognostic value in such patients [92]. Previous research has established the role of BV in advanced cases of HL, but its efficacy in early-stage HL is not as well-known. In a study by Abramson et al., the use of combined AVD/BV without radiotherapy in 34 patients with non-bulky early-stage HL was explored [93]. One cycle of BV was administered on days 1 and 15, followed by four cycles of AVD/BV [93]. A complete response rate of 52% after the lead-in cycle of BV and 97% after two AVD/BV cycles was achieved, and the 3-year PFS rate was 94% [93]. In a study by Park and colleagues, the approach of 6 cycles BV consolidation therapy after 2–6 ABVD cycles in early-stage HL was explored [94]. A consolidation approach yielded a 95% complete response rate, and a three-year progression-free survival of 92% [94]. Currently, there is a noticeable shift in emphasis toward incorporating BV as part of frontline therapy to observe therapy outcomes.

4.3. Chimeric Antigen Receptor Therapy (CAR-T)

Interestingly, CAR-T is the only immunotherapy that would require FDG PET/CT assessment during initial administration. In fact, two FDG PET/CT studies have to be carried out before CAR-T infusion. This involves performing FDG PET/CT at time of decision (TD), followed by second scan at time of transfusion (TT). Afterwards, another two scans will be performed to monitor therapy response at 1-month (M1) and 3-month (M3) intervals [95]. This approach has attained high sensitivity and specificity of about 99% and 100% respectively [96][97]. It is noteworthy that not all clinical centers adhere to this approach, as many clinicians rely on TT PET/CT as a baseline study [95]. When assessing treatment response in clinical settings, multiple PET parameters are usually incorporated. These parameters are derived from values of 5 PS, SUVmax, and the variation between different time points (∆SUVmax), along with tumor volume analyses [95]. Volumetric analyses rely on values of MTV. An unfavorable response is considered when there is less than 66% of SUVmax reduction between two time points [98][99][100]. The successful results of BV therapy have helped to provide the infrastructure for CAR-T to implement CD30 as a potential target. In a study of 18 patients with R/R HL, Wang and colleagues found that treatment with anti-CD30 CAR T cells was feasible and tolerable [101]. Patients in the study had received extensive prior treatment, including both conventional lymphodepletion regimens and more disease-controlling regimens [101]. The ORR in the study was 39%, with 28% of patients showing stable disease at two months after therapy infusion. The median PFS was 6 months [101]. Further support for the safety and efficacy of anti-CD30 CAR-T therapy comes from a phase 1 trial conducted by Ramos et al. [102]. This trial included 9 patients with R/R HL or anaplastic large cell lymphoma. The study showed an ORR of 33%, demonstrating the feasibility and tolerability of this type of therapy [102]. A more recent trial enrolling 41 patients with R/R HL showed even more promising results, with an ORR of 72% and a one-year overall survival rate of 94% [103]. This study suggests that anti-CD30 CAR-T therapy is a promising treatment option for patients with R/R HL [103]. In a similar fashion, Voorhees et al. examined the predictive role of MTV prior to anti-CD30 therapy in HL [104]. This study found that there was a strong association between PFS and MTV prior to lympho-depletion [104]. Therefore, minimizing MTV value before CAR-T is found beneficial. The results from this study have broadened the field of research to include CAR-T. To date, there are 4 clinical trials underway to explore different potential uses of PET/CT for assessing therapy response in CAR-T patients [105][106][107][108].

5. Influence of FDG PET/CT in Non-Hodgkin’s Lymphoma (NHL)

Similarly, FDG PET/CT is of vital importance for outcome prediction and prognostication [109]. The only difference in NHL is that there are certain histologic subtypes that do not optimally express FDG avidity [109]. Indolent NHL fall under the category of variable FDG avid NHL while aggressive NHL usually have moderate to high FDG avidity (Table 3). Therefore, incorporation of FDG PET/CT is most acknowledged in response assessment of aggressive NHL.

Table 3. Status and degree of FDG avidity in each type and subtype of Lymphoma.

Category

Subtype of Lymphoma

FDG Avidity

Degree of FDG Avidity

HL 1

Classical

Avid

High

Mixed cellularity

Avid

Moderate to high

Lymphocyte depletion

Avid

Moderate to high

Lymphocyte predominance

Avid

Moderate

Aggressive NHL 2

Diffuse large B-cell

Avid

High

Burkitt

Avid

High

Anaplastic Large cell

Avid

High

Mantle Cell

Avid

Moderate

Indolent NHL 2

Follicular

Variable

Low-high

Lymphoplasmacytic

Variable

Low-high

Marginal zone

Variable

None-high

Small lymphocytic

Variable

None-high

Cutaneous Anaplastic

Variable

None-moderate

1 HL: Hodgkin’s Lymphoma; 2 NHL: Non-Hodgkin’s Lymphoma.

5.1. FDG PET/CT in Diffuse Large B-Cell (DLBCL)

5.1.1. Rituximab

Since the approval of FDG PET/CT by the FDA, a number of studies have been conducted to explore the efficacy of this treatment modality. Haioun et al. were among the first to examine the prognostic and predictive value of early FDG PET/CT imaging [110]. In their study, 41% of all 90 patients received rituximab as part of the therapy protocol [110]. These patients were then followed up to determine the prognostic outcome [110]. It was concluded that patients with negative PET results had much more favorable outcomes, reflected by PFS and OS rates of 82% and 90%, respectively, as compared to 43% and 61% for those with positive PET results [110]. More recently, a group of DLBCL patients treated with R-CHOP and evaluated by FDG PET/CT at the interim stage were prospectively enrolled in a study [111]. The calculated 3-year PFS and OS rates in iPET negative patients achieved statistically significant superiority when compared to positive results [111]. Data from these studies along with others were collected to conduct a meta-analysis [112]. This meta-analysis was interested in examining the predictive role of iPET in DLBCL patients treated with R-CHOP [112]. The overall sensitivity and specificity of iPET were observed to be discouraging, justifying the need for more effort to unify response criteria [113]. Recently, a group of GOYA DLBCL patients were analyzed for data following the first line of immunochemotherapy to determine survival outcome [113]. It was found that EoT PET is an independent predictor of both PFS and OS and a promising prognostic marker for such patients [113]. The results from the previous analysis necessitate a meta-analytic study in the near future to support this evidence. Another GOYA group analysis was carried out to observe PFS rates difference between DLBCL patients receiving R-CHOP vs Obinutuzumab plus CHOP (G-CHOP) [114]. The study was unable to demonstrate any PFS benefit of G-CHOP over R-CHOP in previously untreated patients with DLBCL [114]. As of right now, metabolic PET parameters are being extensively studied in an attempt to outline their prognostic values [115][116][117]. The GOYA group of patients was analyzed using metabolic PET parameters. Tumor MTV was found to be a predictor of therapy failure in these patients. A recent study concerning baseline PET parameters in R-CHOP treated DLBCL patients was conducted [115]. Metabolic PET parameters were used including SUVmax, SUVmean, MTV and TLG [115]. The study suggests that these parameters may have a prognostic value at baseline and interim intervals [115]. In another study, tumor MTV values were found to be the most reliable parameters among all to determine survival outcome [116]. This was recently shown by another study that confirmed the predictive value of baseline and interim MTV on survival outcome [117]. It appears obvious by now that metabolic PET parameters can establish solid background for future response-adapted management approaches in NHL patients.

5.1.2. Immune Checkpoint Inhibitors (ICI)

Unlike HL, the results achieved in the previous literature using ICI in NHL are less encouraging. Despite having high safety profile, ICI failed to achieve optimal efficacy in NHL. The safety and efficacy of nivolumab in DLBCL were assessed in the previous single-arm phase II study by Ansell et al. [118]. The study acknowledged suboptimal ORR despite the highly observed safety profile [118]. On the other hand, Results from clinical trials of ICI combined with other immunochemotherapies appears more promising. Pembrolizumab was explored as a treatment for DLBCL in a study of 30 patients [119]. This study found that the combination of pembrolizumab and R-CHOP resulted in an ORR of 90%, a CR of 77%, and a 2-year PFS of 83% [119]. The findings of this trial indicate that combining the PD-L1 inhibitor atezolizumab with chemotherapy may be a promising treatment option for DLBCL. The combination of atezolizumab and R-CHOP (a type of chemotherapy) resulted in a high efficacy, with an ORR of 87.5% and durable responses in 80% of patients at 24 months [120]. Based on previous research, it appears that combining immunotherapy with chemotherapy is more likely to result in favorable outcomes in terms of response and clinical outcome.

5.1.3. Chimeric Antigen Receptor Therapy (CAR-T)

A few studies have examined the value of FDG PET/CT in CAR-T, with mixed results. Shah et al. were among the first to examine MTV in a small group of NHL patients and found that nearly half the patients had non-measurable MTV values at M1 (Table S3) [121]. These patients showed long-term remission over the following 2 years [121]. The other half presented with measurable MTV and witnessed an early relapse [121]. Cohen et al. have approached the issue differently and include both DS and ∆SUVmax for evaluation [122]. It was concluded that SUVmax prior to therapy may help determine treatment eligibility and that DS and ∆SUVmax can help identify treatment failure [122]. Recently, Galtier et al. conducted a multicentric cohort study which highlighted the high predictive values of both the 5 PS and MTV [123]. This was also previously explored by Kuhnl et al., who found that Deauville criteria may predict the risk for CAR-T failure and help direct post-CAR-T management [124]. Breen et al. have conducted more detailed analysis of SUVmax values at M1 and found that higher SUVmax values indicate higher risk for disease progression [125]. SUVmax above 10 at M1 is regarded as a significant prognostic and predictive indicator in patients with stable disease or partial response [125]. This was later confirmed by Al Zaki et al. [126].In NHL, tumor burden was validated through the use of FDG PET/CT in a retrospective study by Wang et al. [127].In fact, having high tumor burden at baseline was linked to more aggressive cytokine release syndrome [127]. Bailly et al. enrolled a group of R/R NHL patients in order to demonstrate the added value of adequate disease control prior to therapy [128]. Among all 40 patients, 33 cases were adequately managed prior to CAR-T [128]. During TT PET/CT, adequately treated patients showed more favorable outcomes in terms of event free survival when compared to others [128]. Moreover, 5 of the remainder 7 patients have witnessed early disease relapse [128]. Therefore, adequate control prior to CAR-T was linked to more favorable response in such cases. Despite the encouraging outcomes of previous studies, more research is needed with larger cohorts to get a complete picture.

5.2. FDG PET/CT in Follicular Lymphoma (FL)

Follicular lymphoma (FL) is one of the most common types of lymphoma, representing 22% of adult non-Hodgkin’s lymphomas (NHL) worldwide [129]. The disease can present with a variable clinical course, usually indolent and slow growing, while in other cases the disease may become aggressive, often characterized by histological transformation into a high-grade lymphoma (25–60%) and early death [130]. FL belongs to a group of neoplasms usually presenting with a variable FDG avidity. Therefore, permitting an overall good diagnostic accuracy using FDG PET/CT, up to 98% [131]. Although the outlook for patients with FL has improved in recent years, with a median survival that can exceed 20 years, FL is still considered incurable [132]. The main goal of treatment is usually disease control and extending patients' life expectancy [133].

5.2.1. Rituximab

In FL, the combination of rituximab and chemotherapy has been shown to improve outcomes for patients with FL. However, 20% of patients treated with this immunochemotherapy still experience disease progression within a short time frame, and 50% of them will witness death within 5 years [134]. FDG PET/CT have quickly replaced CI through the use of metabolic PET parameters. Providing more reliable indices for therapy response and outcome. In result, staging, therapy response and surveillance became more accurate. In 2011, a study by Trotman et al. was the first to provide large-scale evidence that EoT PET/CT after Immunochemotherapy treatment is a strong and independent predictor of PFS in FL [135]. This study included 160 patients from the prospective Primary Rituximab and Maintenance (PRIMA) study group [135]. Disease progression and death was significantly higher in PET-positive patients (70.7% at 42 months) compared to PET-negative patients [135]. The study also showed that the predictive value of the FDG PET/CT is independent of the state of the response by CI [135]. In result, FDG PET/CT can function as metabolic biomarker to viable disease process. Dupuis et al. have also examined prognostic role of FDG PET/CT at both interim and EoT periods [136]. This study included a total of 121 FL patients with median follow-up of 23 months. Among all patients, 116 cases have received at least 4 cycles of R-CHOP and had FDG PET/CT for response assessment [136]. iPET negative patients were found to have more favorable PFS, both at interim and EoT periods [136]. The 2-year PFS rates were 87% for EoT PET-negative patients compared to 51% for EoT PET positive patients (P .001). At interim period, 2-year PFS was 86% for iPET-negative patients compared to 61% for iPET-positive patients, respectively (P =.0046). Final PET results revealed a significant difference in two-year overall survival as well: 100% versus 88% (P =.0128) [136]. The results of the previous two studies were explore that vital aspect utilizing FDG PET/CT for response. A retrospective analysis of FOLL05 trial group was carried out by Luminari et al. [137]. The study found that patients who had negative PET scans at EoT had significantly 3-year PFS rates [137]. This suggests that PET scans can be useful in assessing response to treatment in patients with FL[137].

To more accurately understand the relationship between FDG PET/CT and survival analysis, Trotman et al. have carried out recent multicentric study [138]. The study was a product of a joint analysis from three prospective studies (PRIMA, PET-FOLLICULAIRE, and FOLL05) [138]. All patient presented with a high tumor burden and were treated with first-line immunochemotherapy [138]. The study found that the EoT PET predicted both PFS and OS [138]. A negative EoT PET was associated with a significantly higher PFS and OS at four years than a positive one [138]. This suggests that the FDG PET/CT at the EoT predicts survival, so a negative study may be a good prognostic indicator for FL patients with high tumor burden. In 2018, a study assessed the prognostic value of EoT PET on a much larger scale, using data from the prospective GALLIUM study [139]. The study compared FDG PET/CT with contrast enhanced CT (CeCT) to determine which one is better for assessing therapy response [139]. Out of all 1202 patients who were enrolled in the study previously, only 595 patients had performed both modalities [139]. All patients were given immunochemotherapy as their first line of treatment and were assessed after finishing therapy [139]. It was found that PET was superior to contrast-enhanced CT for response assessment in FL patients at EoT [139]. More recently, FOLL12 prospective, randomized, open-label multicenter phase III trial was conducted [140]. The aim of this study was to compare a 2-year Rituximab maintenance therapy against a response-adapted therapy approach in FL patients [140]. Response adapted therapy protocol was found to be associated with lower PFS at 2-year interval. It is clear from previous evidence that EoT PET scans can provide accurate predictions of both PFS and OS [140].

5.2.2. Chimeric Antigen Receptor Therapy (CAR-T)

The recent approval of axicabtagene ciloleucel for r/r FL was granted after observed results from ZUMA-5 study, which demonstrated an 80% CRR and a 12-month durable response rate of 72% [141]. This offers an effective treatment option for patients who develop refractory disease [142]. A few studies have examined the role of FDG PET/CT in CAR-T for FL patients [136][137][138][139]. These were already mentioned in DLBCL section (CAR-T subheading) as previous studies have pooled aggressive NHL patients together regardless of subtype.

5.2.3. Bispecific Antibodies

More recently, the drug Mosunetuzumab has been approved for the treatment of r/r FL. A recent multicentric phase 2 study has confirmed the efficacy and safety profile of Mosunetuzumab [142]. This is the first in-class approval of a bispecific antibody targeting CD20 and CD3. The activity in FL patients is excellent, with an ORR of approximately 80% and a CR of approximately 60% [142]. However, more studies and research are needed to determine the predictive and prognostic role of FDG PET/CT. Additionally, trials are still ongoing to examine other drugs of the same class.

References

  1. Borghaei, H.; Smith, M.R.; Campbell, K.S. Immunotherapy of Cancer. Eur. J. Pharmacol. 2009, 625, 41–54.
  2. Subramaniam, D.S.; Liu, S.V.; Giaccone, G. Novel Approaches in Cancer Immunotherapy. Discov. Med. 2016, 21, 267–274.
  3. Choi, B.K.; Kim, S.-H.; Kim, Y.H.; Kwon, B.S. Cancer Immunotherapy Using Tumor Antigen-Reactive T Cells. Immunotherapy 2018, 10, 235–245.
  4. Oiseth, S.J.; Aziz, M.S. Cancer Immunotherapy: A Brief Review of the History, Possibilities, and Challenges Ahead. J. Cancer Metastasis Treat. 2017, 3, 250.
  5. Zhang, H.; Chen, J. Current Status and Future Directions of Cancer Immunotherapy. J. Cancer 2018, 9, 1773–1781.
  6. Unterrainer, M.; Ruzicka, M.; Fabritius, M.P.; Mittlmeier, L.M.; Winkelmann, M.; Rübenthaler, J.; Brendel, M.; Subklewe, M.; von Bergwelt-Baildon, M.; Ricke, J.; et al. PET/CT Imaging for Tumour Response Assessment to Immunotherapy: Current Status and Future Directions. Eur. Radiol. Exp. 2020, 4, 63.
  7. Decker, W.K.; da Silva, R.F.; Sanabria, M.H.; Angelo, L.S.; Guimarães, F.; Burt, B.M.; Kheradmand, F.; Paust, S. Cancer Immunotherapy: Historical Perspective of a Clinical Revolution and Emerging Preclinical Animal Models. Front. Immunol. 2017, 8, 829.
  8. Dobosz, P.; Dzieciątkowski, T. The Intriguing History of Cancer Immunotherapy. Front. Immunol. 2019, 10, 2965.
  9. Berraondo, P.; Sanmamed, M.F.; Ochoa, M.C.; Etxeberria, I.; Aznar, M.A.; Pérez-Gracia, J.L.; Rodríguez-Ruiz, M.E.; Ponz-Sarvise, M.; Castañón, E.; Melero, I. Cytokines in Clinical Cancer Immunotherapy. Br. J. Cancer 2019, 120, 6–15.
  10. Fyfe, G.; Fisher, R.I.; Rosenberg, S.A.; Sznol, M.; Parkinson, D.R.; Louie, A.C. Results of Treatment of 255 Patients with Metastatic Renal Cell Carcinoma Who Received High-Dose Recombinant Interleukin-2 Therapy. J. Clin. Oncol. 1995, 13, 688–696.
  11. Atkins, M.B.; Lotze, M.T.; Dutcher, J.P.; Fisher, R.I.; Weiss, G.; Margolin, K.; Abrams, J.; Sznol, M.; Parkinson, D.; Hawkins, M.; et al. High-Dose Recombinant Interleukin 2 Therapy for Patients with Metastatic Melanoma: Analysis of 270 Patients Treated between 1985 and 1993. J. Clin. Oncol. 1999, 17, 2105–2116.
  12. de Gruijl, T.D.; Janssen, A.B.; van Beusechem, V.W. Arming Oncolytic Viruses to Leverage Antitumor Immunity. Expert Opin. Biol. Ther. 2015, 15, 959–971.
  13. Mondal, M.; Guo, J.; He, P.; Zhou, D. Recent Advances of Oncolytic Virus in Cancer Therapy. Hum. Vaccin. Immunother. 2020, 16, 2389–2402.
  14. Menotti, L.; Avitabile, E. Herpes Simplex Virus Oncolytic Immunovirotherapy: The Blossoming Branch of Multimodal Therapy. Int. J. Mol. Sci. 2020, 21, 8310.
  15. Grillo-López, A.J.; White, C.A.; Varns, C.; Shen, D.; Wei, A.; McClure, A.; Dallaire, B.K. Overview of the Clinical Development of Rituximab: First Monoclonal Antibody Approved for the Treatment of Lymphoma. Semin. Oncol. 1999, 26, 66–73.
  16. Pfreundschuh, M.; Schubert, J.; Ziepert, M.; Schmits, R.; Mohren, M.; Lengfelder, E.; Reiser, M.; Nickenig, C.; Clemens, M.; Peter, N.; et al. Six versus Eight Cycles of Bi-Weekly CHOP-14 with or without Rituximab in Elderly Patients with Aggressive CD20+ B-Cell Lymphomas: A Randomised Controlled Trial (RICOVER-60). Lancet Oncol. 2008, 9, 105–116.
  17. Pfreundschuh, M.; Trümper, L.; Osterborg, A.; Pettengell, R.; Trneny, M.; Imrie, K.; Ma, D.; Gill, D.; Walewski, J.; Zinzani, P.-L.; et al. CHOP-like Chemotherapy plus Rituximab versus CHOP-like Chemotherapy Alone in Young Patients with Good-Prognosis Diffuse Large-B-Cell Lymphoma: A Randomised Controlled Trial by the MabThera International Trial (MInT) Group. Lancet Oncol. 2006, 7, 379–391.
  18. Habermann, T.M.; Weller, E.A.; Morrison, V.A.; Gascoyne, R.D.; Cassileth, P.A.; Cohn, J.B.; Dakhil, S.R.; Woda, B.; Fisher, R.I.; Peterson, B.A.; et al. Rituximab-CHOP versus CHOP Alone or with Maintenance Rituximab in Older Patients with Diffuse Large B-Cell Lymphoma. J. Clin. Oncol. 2006, 24, 3121–3127.
  19. Coiffier, B.; Lepage, E.; Brière, J.; Herbrecht, R.; Tilly, H.; Bouabdallah, R.; Morel, P.; van den Neste, E.; Salles, G.; Gaulard, P.; et al. CHOP Chemotherapy plus Rituximab Compared with CHOP Alone in Elderly Patients with Diffuse Large-B-Cell Lymphoma. N. Engl. J. Med. 2002, 346, 235–242.
  20. Schulz, H.; Bohlius, J.; Skoetz, N.; Trelle, S.; Kober, T.; Reiser, M.; Dreyling, M.; Herold, M.; Schwarzer, G.; Hallek, M.; et al. Chemotherapy plus Rituximab versus Chemotherapy Alone for B-Cell Non-Hodgkin’s Lymphoma. Cochrane Database Syst. Rev. 2007, 2010, CD003805.
  21. Isaacs, A.; Lindenmann, J. Virus Interference. I. The Interferon. Proc. R. Soc. Lond. B Biol. Sci. 1957, 147, 258–267.
  22. Klebanoff, C.A.; Finkelstein, S.E.; Surman, D.R.; Lichtman, M.K.; Gattinoni, L.; Theoret, M.R.; Grewal, N.; Spiess, P.J.; Antony, P.A.; Palmer, D.C.; et al. IL-15 Enhances the in Vivo Antitumor Activity of Tumor-Reactive CD8+ T Cells. Proc. Natl. Acad. Sci. USA 2004, 101, 1969–1974.
  23. Solal-Celigny, P.; Lepage, E.; Brousse, N.; Reyes, F.; Haioun, C.; Leporrier, M.; Peuchmaur, M.; Bosly, A.; Parlier, Y.; Brice, P. Recombinant Interferon Alfa-2b Combined with a Regimen Containing Doxorubicin in Patients with Advanced Follicular Lymphoma. Groupe d’Etude Des Lymphomes de l’Adulte. N. Engl. J. Med. 1993, 329, 1608–1614.
  24. Cheah, C.Y.; Fowler, N.H.; Neelapu, S.S. Targeting the Programmed Death-1/Programmed Death-Ligand 1 Axis in Lymphoma. Curr. Opin. Oncol. 2015, 27, 384–391.
  25. Menter, T.; Bodmer-Haecki, A.; Dirnhofer, S.; Tzankov, A. Evaluation of the Diagnostic and Prognostic Value of PDL1 Expression in Hodgkin and B-Cell Lymphomas. Hum. Pathol. 2016, 54, 17–24.
  26. Al-Ibraheem, A.; Mottaghy, F.M.; Juweid, M.E. PET/CT in Hodgkin Lymphoma: An Update. Semin. Nucl. Med. 2022.
  27. Lopci, E.; Meignan, M. Current Evidence on PET Response Assessment to Immunotherapy in Lymphomas. PET Clin. 2020, 15, 23–34.
  28. Hutchings, M.; Radford, J.; Ansell, S.M.; Illés, Á.; Sureda, A.; Connors, J.M.; Sýkorová, A.; Shibayama, H.; Abramson, J.S.; Chua, N.S.; et al. Brentuximab Vedotin plus Doxorubicin, Vinblastine, and Dacarbazine in Patients with Advanced-stage, Classical Hodgkin Lymphoma: A Prespecified Subgroup Analysis of High-risk Patients from the ECHELON-1 Study. Hematol. Oncol. 2021, 39, 185–195.
  29. Mohanty, R.; Chowdhury, C.; Arega, S.; Sen, P.; Ganguly, P.; Ganguly, N. CAR T Cell Therapy: A New Era for Cancer Treatment (Review). Oncol. Rep. 2019, 42, 2183–2195.
  30. Abate-Daga, D.; Davila, M.L. CAR Models: Next-Generation CAR Modifications for Enhanced T-Cell Function. Mol. Ther. Oncolytics 2016, 3, 16014.
  31. Zhang, X.; Zhu, L.; Zhang, H.; Chen, S.; Xiao, Y. CAR-T Cell Therapy in Hematological Malignancies: Current Opportunities and Challenges. Front. Immunol. 2022, 13, 927153.
  32. Frigault, M.J.; Maus, M. v State of the Art in CAR T Cell Therapy for CD19+ B Cell Malignancies. J. Clin. Investig. 2020, 130, 1586–1594.
  33. Wang, Z.; Cao, Y.J. Adoptive Cell Therapy Targeting Neoantigens: A Frontier for Cancer Research. Front. Immunol. 2020, 11, 176.
  34. Ruella, M.; Kenderian, S.S. Next-Generation Chimeric Antigen Receptor T-Cell Therapy: Going off the Shelf. BioDrugs 2017, 31, 473–481.
  35. Yip, A.; Webster, R.M. The Market for Chimeric Antigen Receptor T Cell Therapies. Nat. Rev. Drug. Discov. 2018, 17, 161–162.
  36. Majzner, R.G.; Mackall, C.L. Tumor Antigen Escape from CAR T-Cell Therapy. Cancer Discov. 2018, 8, 1219–1226.
  37. Cahill, K.E.; Smith, S.M. Follicular Lymphoma: A Focus on Current and Emerging Therapies. Oncology 2022, 36, 97–106.
  38. Prigent, K.; Aide, N. 18F-Fludeoxyglucose PET/Computed Tomography for Assessing Tumor Response to Immunotherapy and Detecting Immune-Related Side Effects: A Checklist for the PET Reader. PET Clin. 2020, 15, 1–10.
  39. Wolchok, J.D.; Hoos, A.; O’Day, S.; Weber, J.S.; Hamid, O.; Lebbé, C.; Maio, M.; Binder, M.; Bohnsack, O.; Nichol, G.; et al. Guidelines for the Evaluation of Immune Therapy Activity in Solid Tumors: Immune-Related Response Criteria. Clin. Cancer Res. 2009, 15, 7412–7420.
  40. Hodi, F.S.; Hwu, W.-J.; Kefford, R.; Weber, J.S.; Daud, A.; Hamid, O.; Patnaik, A.; Ribas, A.; Robert, C.; Gangadhar, T.C.; et al. Evaluation of Immune-Related Response Criteria and RECIST v1.1 in Patients with advanced melanoma treated with Pembrolizumab. J. Clin. Oncol. 2016, 34, 1510–1517.
  41. Nishino, M.; Giobbie-Hurder, A.; Gargano, M.; Suda, M.; Ramaiya, N.H.; Hodi, F.S. Developing a Common Language for Tumor Response to Immunotherapy: Immune-Related Response Criteria Using Unidimensional Measurements. Clin. Cancer Res. 2013, 19, 3936–3943.
  42. Armand, P.; Engert, A.; Younes, A.; Fanale, M.; Santoro, A.; Zinzani, P.L.; Timmerman, J.M.; Collins, G.P.; Ramchandren, R.; Cohen, J.B.; et al. Nivolumab for Relapsed/Refractory Classic Hodgkin Lymphoma After Failure of Autologous Hematopoietic Cell Transplantation: Extended Follow-Up of the Multicohort Single-Arm Phase II CheckMate 205 Trial. J. Clin. Oncol. 2018, 36, 1428–1439.
  43. Borcoman, E.; Nandikolla, A.; Long, G.; Goel, S.; le Tourneau, C. Patterns of Response and Progression to Immunotherapy. Am. Soc. Clin. Oncol. Educ. Book 2018, 38, 169–178.
  44. Wang, Q.; Gao, J.; Wu, X. Pseudoprogression and Hyperprogression after Checkpoint Blockade. Int. Immunopharmacol. 2018, 58, 125–135.
  45. Chae, Y.K.; Wang, S.; Nimeiri, H.; Kalyan, A.; Giles, F.J. Pseudoprogression in Microsatellite Instability-High Colorectal Cancer during Treatment with Combination T Cell Mediated Immunotherapy: A Case Report and Literature Review. Oncotarget 2017, 8, 57889–57897.
  46. Cheson, B.D.; Ansell, S.; Schwartz, L.; Gordon, L.I.; Advani, R.; Jacene, H.A.; Hoos, A.; Barrington, S.F.; Armand, P. Refinement of the Lugano Classification Lymphoma Response Criteria in the Era of Immunomodulatory Therapy. Blood 2016, 128, 2489–2496.
  47. Tanizaki, J.; Hayashi, H.; Kimura, M.; Tanaka, K.; Takeda, M.; Shimizu, S.; Ito, A.; Nakagawa, K. Report of Two Cases of Pseudoprogression in Patients with Non–Small Cell Lung Cancer Treated with Nivolumab—Including Histological Analysis of One Case after Tumor Regression. Lung Cancer 2016, 102, 44–48.
  48. McGehee, E.; Patel, H.; Pearson, C.; Clements, K.; Jaso, J.M.; Chen, W.; Callan, A.; Desai, N.; Ramakrishnan Geethakumari, P. Combined Immune Checkpoint Blockade and Radiotherapy Induces Durable Remission in Relapsed Natural Killer/T-Cell Lymphoma: A Case Report and Review of the Literature. J. Med. Case Rep. 2021, 15, 221.
  49. Kwong, Y.-L.; Chan, T.S.Y.; Tan, D.; Kim, S.J.; Poon, L.-M.; Mow, B.; Khong, P.-L.; Loong, F.; Au-Yeung, R.; Iqbal, J.; et al. PD1 Blockade with Pembrolizumab Is Highly Effective in Relapsed or Refractory NK/T-Cell Lymphoma Failing l-Asparaginase. Blood 2017, 129, 2437–2442.
  50. Saâda-Bouzid, E.; Defaucheux, C.; Karabajakian, A.; Coloma, V.P.; Servois, V.; Paoletti, X.; Even, C.; Fayette, J.; Guigay, J.; Loirat, D.; et al. Hyperprogression during Anti-PD-1/PD-L1 Therapy in Patients with Recurrent and/or Metastatic Head and Neck Squamous Cell Carcinoma. Ann. Oncol. 2017, 28, 1605–1611.
  51. Champiat, S.; Dercle, L.; Ammari, S.; Massard, C.; Hollebecque, A.; Postel-Vinay, S.; Chaput, N.; Eggermont, A.; Marabelle, A.; Soria, J.-C.; et al. Hyperprogressive Disease Is a New Pattern of Progression in Cancer Patients Treated by Anti-PD-1/PD-L1. Clin. Cancer Res. 2017, 23, 1920–1928.
  52. Onesti, C.E.; Frères, P.; Jerusalem, G. Atypical Patterns of Response to Immune Checkpoint Inhibitors: Interpreting Pseudoprogression and Hyperprogression in Decision Making for Patients’ Treatment. J. Thorac. Dis. 2019, 11, 35–38.
  53. Ferrara, R.; Mezquita, L.; Texier, M.; Lahmar, J.; Audigier-Valette, C.; Tessonnier, L.; Mazieres, J.; Zalcman, G.; Brosseau, S.; le Moulec, S.; et al. Hyperprogressive Disease in Patients with Advanced Non–Small Cell Lung Cancer Treated with PD-1/PD-L1 Inhibitors or with Single-Agent Chemotherapy. JAMA Oncol. 2018, 4, 1543.
  54. Mole, R.H. Whole Body Irradiation—Radiobiology or Medicine? Br. J. Radiol. 1953, 26, 234–241.
  55. Stone, H.B.; Peters, L.J.; Milas, L. Effect of host immune capability on radiocurability and subsequent transplantability of a murine fibrosarcoma. JNCI J. Natl. Cancer Inst. 1979, 63, 1229–1235.
  56. Kang, J.; Demaria, S.; Formenti, S. Current Clinical Trials Testing the Combination of Immunotherapy with Radiotherapy. J. Immunother. Cancer 2016, 4, 51.
  57. Golden, E.B.; Chhabra, A.; Chachoua, A.; Adams, S.; Donach, M.; Fenton-Kerimian, M.; Friedman, K.; Ponzo, F.; Babb, J.S.; Goldberg, J.; et al. Local Radiotherapy and Granulocyte-Macrophage Colony-Stimulating Factor to Generate Abscopal Responses in Patients with Metastatic Solid Tumours: A Proof-of-Principle Trial. Lancet Oncol. 2015, 16, 795–803.
  58. Lang, D.; Wahl, G.; Poier, N.; Graf, S.; Kiesl, D.; Lamprecht, B.; Gabriel, M. Impact of PET/CT for Assessing Response to Immunotherapy—A Clinical Perspective. J. Clin. Med. 2020, 9, 3483.
  59. Castello, A.; Grizzi, F.; Qehajaj, D.; Rahal, D.; Lutman, F.; Lopci, E. 18F-FDG PET/CT for Response Assessment in Hodgkin Lymphoma Undergoing Immunotherapy with Checkpoint Inhibitors. Leuk. Lymphoma 2019, 60, 367–375.
  60. Rossi, C.; Gilhodes, J.; Maerevoet, M.; Herbaux, C.; Morschhauser, F.; Brice, P.; Garciaz, S.; Borel, C.; Ysebaert, L.; Obéric, L.; et al. Efficacy of Chemotherapy or Chemo-Anti-PD-1 Combination after Failed Anti-PD-1 Therapy for Relapsed and Refractory Hodgkin Lymphoma: A Series from Lysa Centers. Am. J. Hematol. 2018, 93, 1042–1049.
  61. Dercle, L.; Seban, R.-D.; Lazarovici, J.; Schwartz, L.H.; Houot, R.; Ammari, S.; Danu, A.; Edeline, V.; Marabelle, A.; Ribrag, V.; et al. 18F-FDG PET and CT Scans Detect New Imaging Patterns of Response and Progression in Patients with Hodgkin Lymphoma Treated by Anti–Programmed Death 1 Immune Checkpoint Inhibitor. J. Nucl. Med. 2018, 59, 15–24.
  62. Younes, A.; Hilden, P.; Coiffier, B.; Hagenbeek, A.; Salles, G.; Wilson, W.; Seymour, J.F.; Kelly, K.; Gribben, J.; Pfreunschuh, M.; et al. International Working Group Consensus Response Evaluation Criteria in Lymphoma (RECIL 2017). Ann. Oncol. 2017, 28, 1436–1447.
  63. Cheson, B.D.; Fisher, R.I.; Barrington, S.F.; Cavalli, F.; Schwartz, L.H.; Zucca, E.; Lister, T.A. Recommendations for Initial Evaluation, Staging, and Response Assessment of Hodgkin and Non-Hodgkin Lymphoma: The Lugano Classification. J. Clin. Oncol. 2014, 32, 3059–3067.
  64. Barrington, S.F.; Mikhaeel, N.G.; Kostakoglu, L.; Meignan, M.; Hutchings, M.; Müeller, S.P.; Schwartz, L.H.; Zucca, E.; Fisher, R.I.; Trotman, J.; et al. Role of Imaging in the Staging and Response Assessment of Lymphoma: Consensus of the International Conference on Malignant Lymphomas Imaging Working Group. J. Clin. Oncol. 2014, 32, 3048–3058.
  65. Skusa, C.; Weber, M.-A.; Böttcher, S.; Thierfelder, K.M. Criteria-Based Imaging and Response Evaluation of Lymphoma 20 Years After Cheson: What Is New? RöFo—Fortschr. Geb. Röntgenstrahlen Bildgeb. Verfahr. 2020, 192, 657–668.
  66. Cheson, B.D. Rethinking Clinical Response and Outcome Assessment in a Biologic Age. Curr. Oncol. Rep. 2015, 17, 27.
  67. Waxman, E.S.; Lee Gerber, D. Pseudoprogression and Immunotherapy Phenomena. J. Adv. Pract. Oncol. 2020, 11, 723–731.
  68. Al-Ibraheem, A.; Anwer, F.; Juweid, M.E.; Shagera, Q.A.; Khalaf, A.N.; Obeidat, S.; Mansour, A.; Ma’koseh, M.; Halahleh, K.; Jaradat, I.; et al. Interim FDG-PET/CT for Therapy Monitoring and Prognostication in Hodgkin’s Lymphoma. Sci. Rep. 2022, 12, 17702.
  69. Zaucha, J.M.; Małkowski, B.; Chauvie, S.; Subocz, E.; Tajer, J.; Kulikowski, W.; Fijołek-Warszewska, A.; Biggi, A.; Fallanca, F.; Kobylecka, M.; et al. The Predictive Role of Interim PET after the First Chemotherapy Cycle and Sequential Evaluation of Response to ABVD in Hodgkin’s Lymphoma Patients—The Polish Lymphoma Research Group (PLRG) Observational Study. Ann. Oncol. 2017, 28, 3051–3057.
  70. Hutchings, M.; Kostakoglu, L.; Zaucha, J.M.; Malkowski, B.; Biggi, A.; Danielewicz, I.; Loft, A.; Specht, L.; Lamonica, D.; Czuczman, M.S.; et al. In Vivo Treatment Sensitivity Testing with Positron Emission Tomography/Computed Tomography After One Cycle of Chemotherapy for Hodgkin Lymphoma. J. Clin. Oncol. 2014, 32, 2705–2711.
  71. Biggi, A.; Gallamini, A.; Chauvie, S.; Hutchings, M.; Kostakoglu, L.; Gregianin, M.; Meignan, M.; Malkowski, B.; Hofman, M.S.; Barrington, S.F. International Validation Study for Interim PET in ABVD-Treated, Advanced-Stage Hodgkin Lymphoma: Interpretation Criteria and Concordance Rate Among Reviewers. J. Nucl. Med. 2013, 54, 683–690.
  72. Ansell, S.M.; Lesokhin, A.M.; Borrello, I.; Halwani, A.; Scott, E.C.; Gutierrez, M.; Schuster, S.J.; Millenson, M.M.; Cattry, D.; Freeman, G.J.; et al. PD-1 Blockade with Nivolumab in Relapsed or Refractory Hodgkin’s Lymphoma. N. Engl. J. Med. 2015, 372, 311–319.
  73. Armand, P.; Shipp, M.A.; Ribrag, V.; Michot, J.-M.; Zinzani, P.L.; Kuruvilla, J.; Snyder, E.S.; Ricart, A.D.; Balakumaran, A.; Rose, S.; et al. Programmed Death-1 Blockade with Pembrolizumab in Patients with Classical Hodgkin Lymphoma After Brentuximab Vedotin Failure. J. Clin. Oncol. 2016, 34, 3733–3739.
  74. Chen, R.; Zinzani, P.L.; Fanale, M.A.; Armand, P.; Johnson, N.A.; Brice, P.; Radford, J.; Ribrag, V.; Molin, D.; Vassilakopoulos, T.P.; et al. Phase II Study of the Efficacy and Safety of Pembrolizumab for Relapsed/Refractory Classic Hodgkin Lymphoma. J. Clin. Oncol. 2017, 35, 2125–2132.
  75. Younes, A.; Santoro, A.; Shipp, M.; Zinzani, P.L.; Timmerman, J.M.; Ansell, S.; Armand, P.; Fanale, M.; Ratanatharathorn, V.; Kuruvilla, J.; et al. Nivolumab for Classical Hodgkin’s Lymphoma after Failure of Both Autologous Stem-Cell Transplantation and Brentuximab Vedotin: A Multicentre, Multicohort, Single-Arm Phase 2 Trial. Lancet Oncol. 2016, 17, 1283–1294.
  76. Dercle, L.; Ammari, S.; Seban, R.-D.; Schwartz, L.H.; Houot, R.; Labaied, N.; Mokrane, F.-Z.; Lazarovici, J.; Danu, A.; Marabelle, A.; et al. Kinetics and Nadir of Responses to Immune Checkpoint Blockade by Anti-PD1 in Patients with Classical Hodgkin Lymphoma. Eur. J. Cancer 2018, 91, 136–144.
  77. Lepik, K.V.; Volkov, N.P.; Mikhailova, N.B.; Kondakova, E.V.; Tsvetkova, L.A.; Zalyalov, Y.R.; Lepik, E.E.; Fedorova, L.V.; Beinarovich, A.V.; Demchenkova, M.V.; et al. Long-Term Outcomes of Nivolumab Therapy in Patients with Relapsed/Refractory Classic Hodgkin’s Lymphoma after High-Dose Chemotherapy with Autologous Hematopoietic Stem Cell Transplantation in Real Clinical Practice. Klin. Onkogematol./Clin. Oncohematol. 2020, 13, 280–288.
  78. Fedorova, L.; Lepik, K.; Mikhailova, N.; Kondakova, E.; Kotselyabina, P.; Shmidt, D.I.; Kozlov, A.; Zalyalov, Y.; Borzenkova, E.; Baykov, V.; et al. 903P Combination of Nivolumab with Brentuximab Vedotin in Therapy of Relapsed and Refractory Hodgkin Lymphoma. Ann. Oncol. 2020, 31, S655.
  79. Parmar, K.; Dwarampudi, R.; Tijani, L.; Jakubski, S.; Rehman, S. Combination Therapy of Nivolumab in First Line and Relapsed/Refractory Classic Hodgkin’s Lymphoma: A Systematic Review and Meta-Analysis of Clinical Trials. Blood 2022, 140, 12031–12032.
  80. Bröckelmann, P.J.; Goergen, H.; Keller, U.; Meissner, J.; Ordemann, R.; Halbsguth, T.V.; Sasse, S.; Sökler, M.; Kerkhoff, A.; Mathas, S.; et al. Efficacy of Nivolumab and AVD in Early-Stage Unfavorable Classic Hodgkin Lymphoma. JAMA Oncol. 2020, 6, 872.
  81. Lee, H.; Flinn, I.W.; Melear, J.; Ramchandren, R.; Friedman, J.; Burke, J.M.; Linhares, Y.; Raval, M.; Chintapatla, R.; Feldman, T.A.; et al. P1089: Brentuximab Vedotin, Nivolumab, Doxorubicin, And Dacarbazine (AN+AD) for Advanced Stage Classic Hodgkin Lymphoma: Preliminary Safety and Efficacy Results from the Phase 2 Study (SGN35 027 Part B). Hemasphere 2022, 6, 979–980.
  82. Park, S.I.; Ansell, S.M.; Giri, S.; Svoboda, J.; Smith, S.D.; Feldman, T.; Budde, E.L.; Ness, A.J.; Choi, Y.; Bierman, P.J.; et al. Frontline PET-Directed Therapy with Brentuximab Vedotin Plus AVD Followed By Nivolumab Consolidation in Patients with Limited Stage Hodgkin Lymphoma. Blood 2022, 140, 1751–1752.
  83. Gibb, A.; Jones, C.; Bloor, A.; Kulkarni, S.; Illidge, T.; Linton, K.; Radford, J. Brentuximab Vedotin in Refractory CD30+ Lymphomas: A Bridge to Allogeneic Transplantation in Approximately One Quarter of Patients Treated on a Named Patient Programme at a Single UK Center. Haematologica 2013, 98, 611–614.
  84. Rothe, A.; Sasse, S.; Goergen, H.; Eichenauer, D.A.; Lohri, A.; Jäger, U.; Bangard, C.; Böll, B.; von Bergwelt Baildon, M.; Theurich, S.; et al. Brentuximab Vedotin for Relapsed or Refractory CD30+ Hematologic Malignancies: The German Hodgkin Study Group Experience. Blood 2012, 120, 1470–1472.
  85. Zinzani, P.L.; Viviani, S.; Anastasia, A.; Vitolo, U.; Luminari, S.; Zaja, F.; Corradini, P.; Spina, M.; Brusamolino, E.; Gianni, A.M.; et al. Brentuximab Vedotin in Relapsed/Refractory Hodgkin’s Lymphoma: The Italian Experience and Results of Its Use in Daily Clinical Practice Outside Clinical Trials. Haematologica 2013, 98, 1232–1236.
  86. Kahraman, D.; Theurich, S.; Rothe, A.; Kuhnert, G.; Sasse, S.; Scheid, C.; Dietlein, M.; Drzezga, A.; von Bergwelt-Baildon, M.; Kobe, C. 18-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography for Assessment of Response to Brentuximab Vedotin Treatment in Relapsed and Refractory Hodgkin Lymphoma. Leuk. Lymphoma 2014, 55, 811–816.
  87. Kedmi, M.; Khaustov, P.; Ribakovsy, E.; Benjamini, O.; Avigdor, A. Outcomes Related to FDG-PET-CT Response in Patients with Hodgkin Lymphoma Treated with Brentuximab-Vedotin at Relapse or Consolidation. Clin. Lymphoma Myeloma Leuk. 2021, 21, e929–e937.
  88. Connors, J.M.; Jurczak, W.; Straus, D.J.; Ansell, S.M.; Kim, W.S.; Gallamini, A.; Younes, A.; Alekseev, S.; Illés, Á.; Picardi, M.; et al. Brentuximab Vedotin with Chemotherapy for Stage III or IV Hodgkin’s Lymphoma. N. Engl. J. Med. 2018, 378, 331–344.
  89. Chen, R.W.; Ansell, S.M.; Gallamini, A.; Connors, J.M.; Savage, K.J.; Collins, G.P.; Grigg, A.; Sureda, A.M.; Ghosh, N.; Feldman, T.; et al. Brentuximab Vedotin with Chemotherapy for Stage III or IV Hodgkin Lymphoma (HL): Impact of Cycle 2 PET Result on Modified Progression-Free Survival (MPFS). J. Clin. Oncol. 2018, 36, 7539.
  90. Ramchandren, R.; Advani, R.H.; Ansell, S.M.; Bartlett, N.L.; Chen, R.W.; Feldman, T.; Forero-Torres, A.; Friedberg, J.W.; Gopal, A.K.; Gordon, L.I.; et al. Brentuximab Vedotin (BV) plus Chemotherapy in Patients with Newly Diagnosed Advanced Stage Hodgkin Lymphoma (HL): North American Results. J. Clin. Oncol. 2018, 36, 7541.
  91. Eichenauer, D.A.; Plütschow, A.; Kreissl, S.; Sökler, M.; Hellmuth, J.C.; Meissner, J.; Mathas, S.; Topp, M.S.; Behringer, K.; Klapper, W.; et al. Incorporation of Brentuximab Vedotin into First-Line Treatment of Advanced Classical Hodgkin’s Lymphoma: Final Analysis of a Phase 2 Randomised Trial by the German Hodgkin Study Group. Lancet Oncol. 2017, 18, 1680–1687.
  92. Gavane, S.C.; Ito, K.; Moskowitz, C.H.; Moskowitz, A.J.; Schöder, H. Metabolic Tumor Volume to Predict Event Free Survival in Patients with Relapsed/Refractory HL Treated with Brentuximab Vedotin-Based Salvage Therapy. J. Clin. Oncol. 2016, 34, 11566.
  93. Abramson, J.S.; Arnason, J.E.; LaCasce, A.S.; Redd, R.; Barnes, J.A.; Sokol, L.; Joyce, R.; Avigan, D.; Neuberg, D.; Takvorian, R.W.; et al. Brentuximab Vedotin, Doxorubicin, Vinblastine, and Dacarbazine for Nonbulky Limited-Stage Classical Hodgkin Lymphoma. Blood 2019, 134, 606–613.
  94. Park, S.I.; Shea, T.C.; Olajide, O.; Reddy, N.M.; Budde, L.E.; Ghosh, N.; Deal, A.M.; Noe, J.F.; Ansell, S.M. ABVD Followed by BV Consolidation in Risk-Stratified Patients with Limited-Stage Hodgkin Lymphoma. Blood Adv. 2020, 4, 2548–2555.
  95. Linguanti, F.; Abenavoli, E.M.; Berti, V.; Lopci, E. Metabolic Imaging in B-Cell Lymphomas during CAR-T Cell Therapy. Cancers 2022, 14, 4700.
  96. Jain, T.; Bar, M.; Kansagra, A.J.; Chong, E.A.; Hashmi, S.K.; Neelapu, S.S.; Byrne, M.; Jacoby, E.; Lazaryan, A.; Jacobson, C.A.; et al. Use of Chimeric Antigen Receptor T Cell Therapy in Clinical Practice for Relapsed/Refractory Aggressive B Cell Non-Hodgkin Lymphoma: An Expert Panel Opinion from the American Society for Transplantation and Cellular Therapy. Biol. Blood Marrow Transplant. 2019, 25, 2305–2321.
  97. Ruff, A.; Ballard, H.J.; Pantel, A.R.; Namoglu, E.C.; Hughes, M.E.; Nasta, S.D.; Chong, E.A.; Bagg, A.; Ruella, M.; Farwell, M.D.; et al. 18F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography Following Chimeric Antigen Receptor T-Cell Therapy in Large B-Cell Lymphoma. Mol. Imaging Biol. 2021, 23, 818–826.
  98. Li, X.; Sun, X.; Li, J.; Liu, Z.; Mi, M.; Zhu, F.; Wu, G.; Lan, X.; Zhang, L. Interim PET/CT Based on Visual and Semiquantitative Analysis Predicts Survival in Patients with Diffuse Large B-cell Lymphoma. Cancer Med. 2019, 8, 5012–5022.
  99. Meignan, M.; Gallamini, A.; Meignan, M.; Gallamini, A.; Haioun, C. Report on the First International Workshop on Interim-PET Scan in Lymphoma. Leuk. Lymphoma 2009, 50, 1257–1260.
  100. Schmitz, C.; Hüttmann, A.; Müller, S.P.; Hanoun, M.; Boellaard, R.; Brinkmann, M.; Jöckel, K.-H.; Dührsen, U.; Rekowski, J. Dynamic Risk Assessment Based on Positron Emission Tomography Scanning in Diffuse Large B-Cell Lymphoma: Post-Hoc Analysis from the PETAL Trial. Eur. J. Cancer 2020, 124, 25–36.
  101. Wang, X. PET/CT: Appropriate Application in Lymphoma. Chin. Clin. Oncol. 2015, 4, 4.
  102. Ramos, C.A.; Ballard, B.; Zhang, H.; Dakhova, O.; Gee, A.P.; Mei, Z.; Bilgi, M.; Wu, M.-F.; Liu, H.; Grilley, B.; et al. Clinical and Immunological Responses after CD30-Specific Chimeric Antigen Receptor-Redirected Lymphocytes. J. Clin. Investig. 2017, 127, 3462–3471.
  103. Ramos, C.A.; Grover, N.S.; Beaven, A.W.; Lulla, P.D.; Wu, M.-F.; Ivanova, A.; Wang, T.; Shea, T.C.; Rooney, C.M.; Dittus, C.; et al. Anti-CD30 CAR-T Cell Therapy in Relapsed and Refractory Hodgkin Lymphoma. J. Clin. Oncol. 2020, 38, 3794–3804.
  104. Voorhees, T.J.; Zhao, B.; Oldan, J.; Hucks, G.; Khandani, A.; Dittus, C.; Smith, J.; Morrison, J.K.; Cheng, C.J.; Ivanova, A.; et al. Pretherapy Metabolic Tumor Volume Is Associated with Response to CD30 CAR T Cells in Hodgkin Lymphoma. Blood Adv. 2022, 6, 1255–1263.
  105. “Re-Priming” RT After Incomplete Response to CAR-T in R/R NHL—Full Text View—ClinicalTrials.Gov. Available online: https://clinicaltrials.gov/ct2/show/NCT04601831?term=CAR-T%2C+FDG+PET%2FCT&cond=Lymphoma&draw=2 (accessed on 11 December 2022).
  106. Radiomics and Metabolomics in the Follow-up of CAR T-Cells for Refractory or Relapsed Non-Hodgkin’s Lymphoma—Full Text View—ClinicalTrials.Gov. Available online: https://clinicaltrials.gov/ct2/show/NCT05422521?term=CAR-T%2C+FDG+PET%2FCT&cond=Lymphoma&draw=2 (accessed on 11 December 2022).
  107. 18F-F-AraG PET Imaging to Evaluate Immunological Response to CAR T Cell Therapy in Lymphoma—Full Text View—ClinicalTrials.Gov. Available online: https://clinicaltrials.gov/ct2/show/NCT05096234?term=CAR-T%2C+FDG+PET%2FCT&cond=Lymphoma&draw=2&rank=2 (accessed on 11 December 2022).
  108. PD-L1 PET-Imaging During CAR T-Cell Therapy—Full Text View—ClinicalTrials.Gov. Available online: https://clinicaltrials.gov/ct2/show/NCT05404048?term=CAR-T%2C+FDG+PET%2FCT&cond=Lymphoma&draw=2&rank=1 (accessed on 11 December 2022).
  109. Weiler-Sagie, M.; Bushelev, O.; Epelbaum, R.; Dann, E.J.; Haim, N.; Avivi, I.; Ben-Barak, A.; Ben-Arie, Y.; Bar-Shalom, R.; Israel, O. (18)F-FDG Avidity in Lymphoma Readdressed: A Study of 766 Patients. J. Nucl. Med. 2010, 51, 25–30. https://doi.org/10.2967/jnumed.109.067892.
  110. Haioun, C.; Itti, E.; Rahmouni, A.; Brice, P.; Rain, J.-D.; Belhadj, K.; Gaulard, P.; Garderet, L.; Lepage, E.; Reyes, F.; et al. [18F]Fluoro-2-Deoxy-D-Glucose Positron Emission Tomography (FDG-PET) in Aggressive Lymphoma: An Early Prognostic Tool for Predicting Patient Outcome. Blood 2005, 106, 1376–1381. https://doi.org/10.1182/blood-2005-01-0272.
  111. Huang, H.; Lin, J.; Guo, C.; Li, S.; Hong, H.; Li, X.; Zhang, M.; Xia, Z.; Lin, T. Predictive Value of Interim 18F-FDG PET-CT Scans on Diffuse Large B-Cell Lymphoma Treated with R-CHOP: A Prospective Study. Blood 2015, 126, 1458–1458. https://doi.org/10.1182/blood.V126.23.1458.1458.
  112. Sun, N.; Zhao, J.; Qiao, W.; Wang, T. Predictive Value of Interim PET/CT in DLBCL Treated with R-CHOP: Meta-Analysis. Biomed. Res. Int. 2015, 2015, 648572. https://doi.org/10.1155/2015/648572.
  113. Kostakoglu, L.; Martelli, M.; Sehn, L.H.; Belada, D.; Carella, A.-M.; Chua, N.; Gonzalez-Barca, E.; Hong, X.; Pinto, A.; Shi, Y.; et al. End-of-Treatment PET/CT Predicts PFS and OS in DLBCL after First-Line Treatment: Results from GOYA. Blood Adv. 2021, 5, 1283–1290. https://doi.org/10.1182/bloodadvances.2020002690.
  114. Sehn, L.H.; Martelli, M.; Trněný, M.; Liu, W.; Bolen, C.R.; Knapp, A.; Sahin, D.; Sellam, G.; Vitolo, U. A Randomized, Open-Label, Phase III Study of Obinutuzumab or Rituximab plus CHOP in Patients with Previously Untreated Diffuse Large B-Cell Lymphoma: Final Analysis of GOYA. J. Hematol. Oncol. 2020, 13, 71. https://doi.org/10.1186/s13045-020-00900-7.
  115. Zhu, L.; Meng, Y.; Guo, L.; Zhao, H.; Shi, Y.; Li, S.; Wang, A.; Zhang, X.; Shi, J.; Zhu, J.; et al. Predictive Value of Baseline 18F FDG PET/CT and Interim Treatment Response for the Prognosis of Patients with Diffuse Large B cell Lymphoma Re-ceiving R CHOP Chemotherapy. Oncol. Lett. 2020, 21, 132. https://doi.org/10.3892/ol.2020.12393.
  116. Cottereau, A.-S.; Lanic, H.; Mareschal, S.; Meignan, M.; Vera, P.; Tilly, H.; Jardin, F.; Becker, S. Molecular Profile and FDG-PET/CT Total Metabolic Tumor Volume Improve Risk Classification at Diagnosis for Patients with Diffuse Large B-Cell Lymphoma. Clin. Cancer Res. 2016, 22, 3801–3809. https://doi.org/10.1158/1078-0432.CCR-15-2825.
  117. Islam, P.; Goldstein, J.; Flowers, C.R. PET-Derived Tumor Metrics Predict DLBCL Response and Progression-Free Survival. Leuk. Lymphoma 2019, 60, 1965–1971. https://doi.org/10.1080/10428194.2018.1562181.
  118. Ansell, S.M.; Minnema, M.C.; Johnson, P.; Timmerman, J.M.; Armand, P.; Shipp, M.A.; Rodig, S.J.; Ligon, A.H.; Roemer, M.G.M.; Reddy, N.; et al. Nivolumab for Relapsed/Refractory Diffuse Large B-Cell Lymphoma in Patients Ineligible for or Having Failed Autologous Transplantation: A Single-Arm, Phase II Study. J. Clin. Oncol. 2019, 37, 481–489. https://doi.org/10.1200/JCO.18.00766.
  119. Smith, S.D.; Till, B.G.; Shadman, M.S.; Lynch, R.C.; Cowan, A.J.; Wu, Q.V.; Voutsinas, J.; Rasmussen, H.A.; Blue, K.; Ujjani, C.S.; et al. Pembrolizumab with R-CHOP in Previously Untreated Diffuse Large B-cell Lymphoma: Potential for Biomarker Driven Therapy. Br. J. Haematol. 2020, 189, 1119–1126. https://doi.org/10.1111/bjh.16494.
  120. Younes, A.; Burke, J.M.; Cheson, B.D.; Diefenbach, C.; Ferrari, S.; Hahn, U.H.; Hawkes, E.A.; Khan, C.; Lossos, I.S.; Musuraca, G.; et al. Safety and Efficacy of Atezolizumab in Combination with Rituximab Plus CHOP in Previously Untreated Patients with Diffuse Large B-Cell Lymphoma (DLBCL): Updated Analysis of a Phase I/II Study. Blood 2019, 134, 2874–2874. https://doi.org/10.1182/blood-2019-123368.
  121. Shah, N.N.; Nagle, S.J.; Torigian, D.A.; Farwell, M.D.; Hwang, W.-T.; Frey, N.; Nasta, S.D.; Landsburg, D.; Mato, A.; June, C.H.; et al. Early Positron Emission Tomography/Computed Tomography as a Predictor of Response after CTL019 Chimeric Antigen Receptor -T-Cell Therapy in B-Cell Non-Hodgkin Lymphomas. Cytotherapy 2018, 20, 1415–1418. https://doi.org/10.1016/j.jcyt.2018.10.003.
  122. Cohen, D.; Luttwak, E.; Beyar-Katz, O.; Hazut Krauthammer, S.; Bar-On, Y.; Amit, O.; Gold, R.; Perry, C.; Avivi, I.; Ram, R.; et al. [18F]FDG PET-CT in Patients with DLBCL Treated with CAR-T Cell Therapy: A Practical Approach of Reporting Pre- and Post-Treatment Studies. Eur. J. Nucl. Med. Mol. Imaging 2022, 49, 953–962. https://doi.org/10.1007/s00259-021-05551-5.
  123. Galtier, J.; Vercellino, L.; Chartier, L.; Olivier, P.; Tabouret-Viaud, C.; Mesguich, C.; di Blasi, R.; Durand, A.; Raffy, L.; Gros, F.-X.; et al. PET-Imaging Assessment for Guiding Strategy in Patients with Relapsed/Refractory Large B-Cell Lymphoma Receiving CAR T-Cells. Haematologica 2022, 108, 171–180. https://doi.org/10.3324/haematol.2021.280550.
  124. Kuhnl, A.; Roddie, C.; Kirkwood, A.A.; Menne, T.; Cuadrado, M.; Marzolini, M.A.V.; Osborne, W.; Sanderson, R.; O’Reilly, M.; Townsend, W.; et al. Early FDG-PET Response Predicts CAR-T Failure in Large B-Cell Lymphoma. Blood Adv. 2022, 6, 321–326. https://doi.org/10.1182/bloodadvances.2021005807.
  125. Breen, W.G.; Hathcock, M.A.; Young, J.R.; Kowalchuk, R.O.; Bansal, R.; Khurana, A.; Bennani, N.N.; Paludo, J.; Villasboas Bisneto, J.C.; Wang, Y.; et al. Metabolic Characteristics and Prognostic Differentiation of Aggressive Lymphoma Using One-Month Post-CAR-T FDG PET/CT. J. Hematol. Oncol. 2022, 15, 36. https://doi.org/10.1186/s13045-022-01256-w.
  126. al Zaki, A.; Feng, L.; Watson, G.; Ahmed, S.A.; Mistry, H.; Nastoupil, L.J.; Hawkins, M.; Nair, R.; Iyer, S.P.; Lee, H.J.; et al. Day 30 SUVmax Predicts Progression in Patients with Lymphoma Achieving PR/SD after CAR T-Cell Therapy. Blood Adv. 2022, 6, 2867–2871. https://doi.org/10.1182/bloodadvances.2021006715.
  127. Wang, J.; Hu, Y.; Yang, S.; Wei, G.; Zhao, X.; Wu, W.; Zhang, Y.; Zhang, Y.; Chen, D.; Wu, Z.; et al. Role of Fluorodeoxy-glucose Positron Emission Tomography/Computed Tomography in Predicting the Adverse Effects of Chimeric Antigen Receptor T Cell Therapy in Patients with Non-Hodgkin Lymphoma. Biol. Blood Marrow Transplant. 2019, 25, 1092–1098. https://doi.org/10.1016/j.bbmt.2019.02.008.
  128. Bailly, C.; Carlier, T.; Tessoulin, B.; Gastinne, T.; Kraeber-Bodere, F.; le Gouill, S.; Bodet-Milin, C. Prognostic Value of FDG-PET/CT Response for Patient Selection before Chimeric Antigen Receptor-T-cells Therapy in Non-Hodgkin Lymphoma. Hematol. Oncol. 2022, 40, 796–800. https://doi.org/10.1002/hon.2965.
  129. Armitage, J.O.; Weisenburger, D.D. New Approach to Classifying Non-Hodgkin’s Lymphomas: Clinical Features of the Major Histologic Subtypes. Non-Hodgkin’s Lymphoma Classification Project. J. Clin. Oncol. 1998, 16, 2780–2795. https://doi.org/10.1200/JCO.1998.16.8.2780.
  130. Dillman, R.O. Radioimmunotherapy of B-Cell Lymphoma with Radiolabelled Anti-CD20 Monoclonal Antibodies. Clin. Exp. Med. 2006, 6, 1–12. https://doi.org/10.1007/s10238-006-0087-6.
  131. Zinzani, P.L.; Musuraca, G.; Alinari, L.; Fanti, S.; Tani, M.; Stefoni, V.; Marchi, E.; Fina, M.; Pellegrini, C.; Castellucci, P.; et al. Predictive Role of Positron Emission Tomography in the Outcome of Patients with Follicular Lymphoma. Clin. Lymphoma Myeloma 2007, 7, 291–295. https://doi.org/10.3816/CLM.2007.n.005.
  132. Trotman, J.; Pettitt, A.R. Is It Time for PET-Guided Therapy in Follicular Lymphoma? Blood 2022, 139, 1631–1641. https://doi.org/10.1182/blood.2020008243.
  133. Barrington, S.F.; Mikhaeel, N.G. Imaging Follicular Lymphoma Using Positron Emission Tomography with [18F]Fluorodeoxyglucose: To What Purpose? J. Clin. Oncol. 2012, 30, 4285–4287. https://doi.org/10.1200/JCO.2012.45.4082.
  134. Casulo, C.; Byrtek, M.; Dawson, K.L.; Zhou, X.; Farber, C.M.; Flowers, C.R.; Hainsworth, J.D.; Maurer, M.J.; Cerhan, J.R.; Link, B.K.; et al. Early Relapse of Follicular Lymphoma After Rituximab Plus Cyclophosphamide, Doxorubicin, Vincristine, and Prednisone Defines Patients at High Risk for Death: An Analysis from the National LymphoCare Study. J. Clin. Oncol. 2015, 33, 2516–2522. https://doi.org/10.1200/JCO.2014.59.7534.
  135. Trotman, J.; Fournier, M.; Lamy, T.; Seymour, J.F.; Sonet, A.; Janikova, A.; Shpilberg, O.; Gyan, E.; Tilly, H.; Estell, J.; et al. Positron Emission Tomography–Computed Tomography (PET-CT) After Induction Therapy Is Highly Predictive of Patient Outcome in Follicular Lymphoma: Analysis of PET-CT in a Subset of PRIMA Trial Participants. J. Clin. Oncol. 2011, 29, 3194–3200. https://doi.org/10.1200/JCO.2011.35.0736.
  136. Dupuis, J.; Berriolo-Riedinger, A.; Julian, A.; Brice, P.; Tychyj-Pinel, C.; Tilly, H.; Mounier, N.; Gallamini, A.; Feugier, P.; Soubeyran, P.; et al. Impact of [18F]Fluorodeoxyglucose Positron Emission Tomography Response Evaluation in Patients with High–Tumor Burden Follicular Lymphoma Treated with Immunochemotherapy: A Prospective Study from the Groupe d’Etudes Des Lymphomes de l’Adulte and GOELAMS. J. Clin. Oncol. 2012, 30, 4317–4322. https://doi.org/10.1200/JCO.2012.43.0934.
  137. Luminari, S.; Biasoli, I.; Versari, A.; Rattotti, S.; Bottelli, C.; Rusconi, C.; Merli, F.; Spina, M.; Ferreri, A.J.M.; Zinzani, P.L.; et al. The Prognostic Role of Post-Induction FDG-PET in Patients with Follicular Lymphoma: A Subset Analysis from the FOLL05 Trial of the Fondazione Italiana Linfomi (FIL). Ann. Oncol. 2014, 25, 442–447. https://doi.org/10.1093/annonc/mdt562.
  138. Trotman, J.; Luminari, S.; Boussetta, S.; Versari, A.; Dupuis, J.; Tychyj, C.; Marcheselli, L.; Berriolo-Riedinger, A.; Frances-chetto, A.; Julian, A.; et al. Prognostic Value of PET-CT after First-Line Therapy in Patients with Follicular Lymphoma: A Pooled Analysis of Central Scan Review in Three Multicentre Studies. Lancet Haematol. 2014, 1, e17–e27. https://doi.org/10.1016/S2352-3026(14)70008-0.
  139. Trotman, J.; Barrington, S.F.; Belada, D.; Meignan, M.; MacEwan, R.; Owen, C.; Ptáčník, V.; Rosta, A.; Fingerle-Rowson, G.R.; Zhu, J.; et al. Prognostic Value of End-of-Induction PET Response after First-Line Immunochemotherapy for Follicular Lymphoma (GALLIUM): Secondary Analysis of a Randomised, Phase 3 Trial. Lancet Oncol. 2018, 19, 1530–1542. https://doi.org/10.1016/S1470-2045(18)30618-1.
  140. Luminari, S.; Manni, M.; Galimberti, S.; Versari, A.; Tucci, A.; Boccomini, C.; Farina, L.; Olivieri, J.; Marcheselli, L.; Guerra, L.; et al. Response-Adapted Postinduction Strategy in Patients with Advanced-Stage Follicular Lymphoma: The FOLL12 Study. J. Clin. Oncol. 2022, 40, 729–739. https://doi.org/10.1200/JCO.21.01234.
  141. Bouchkouj, N.; Zimmerman, M.; Kasamon, Y.L.; Wang, C.; Dai, T.; Xu, Z.; Wang, X.; Theoret, M.; Purohit-Sheth, T.; George, B. FDA Approval Summary: Axicabtagene Ciloleucel for Relapsed or Refractory Follicular Lymphoma. Oncologist 2022, 27, 587–594. https://doi.org/10.1093/oncolo/oyac054.
  142. Budde, L.E.; Sehn, L.H.; Matasar, M.; Schuster, S.J.; Assouline, S.; Giri, P.; Kuruvilla, J.; Canales, M.; Dietrich, S.; Fay, K.; et al. Safety and Efficacy of Mosunetuzumab, a Bispecific Antibody, in Patients with Relapsed or Refractory Follicular Lymphoma: A Single-Arm, Multicentre, Phase 2 Study. Lancet Oncol. 2022, 23, 1055–1065. https://doi.org/10.1016/S1470-2045(22)00335-7.
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