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Virarkar, M.; Vulasala, S.S.; Calimano-Ramirez, L.; Singh, A.; Lall, C.; Bhosale, P. PET/MRI in Cervical Cancer. Encyclopedia. Available online: https://encyclopedia.pub/entry/41892 (accessed on 24 December 2025).
Virarkar M, Vulasala SS, Calimano-Ramirez L, Singh A, Lall C, Bhosale P. PET/MRI in Cervical Cancer. Encyclopedia. Available at: https://encyclopedia.pub/entry/41892. Accessed December 24, 2025.
Virarkar, Mayur, Sai Swarupa Vulasala, Luis Calimano-Ramirez, Anmol Singh, Chandana Lall, Priya Bhosale. "PET/MRI in Cervical Cancer" Encyclopedia, https://encyclopedia.pub/entry/41892 (accessed December 24, 2025).
Virarkar, M., Vulasala, S.S., Calimano-Ramirez, L., Singh, A., Lall, C., & Bhosale, P. (2023, March 06). PET/MRI in Cervical Cancer. In Encyclopedia. https://encyclopedia.pub/entry/41892
Virarkar, Mayur, et al. "PET/MRI in Cervical Cancer." Encyclopedia. Web. 06 March, 2023.
PET/MRI in Cervical Cancer
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This entry is adapted from the peer-reviewed paper 10.3390/curroncol30010083

Early detection of gynecological malignancies is vital for patient management and prolonging the patient’s survival. Molecular imaging, such as positron emission tomography (PET)/computed tomography, has been increasingly utilized in gynecological malignancies. PET/magnetic resonance imaging (MRI) enables the assessment of gynecological malignancies by combining the metabolic information of PET with the anatomical and functional information from MRI. Cervical cancer is one of the tumors that demonstrate heterogeneity to hypoxia. PET/MRI has been established to assess the tumor response in cervical cancer, and its capability is questionable in the case of ovarian tumors.

PET/MRI gynecological malignancy PET/CT

1. Epidemiology

Uterine cervical cancer is the fourth most common cancer worldwide, with roughly 604,127 cases diagnosed and an annual mortality of 341,831 [1][2]. About 80–90% of the cases described are encountered in developing countries due to the lack of proper screening practices [3]. On the other hand, the incidence has drastically reduced in the United States due to robust screening with pap smear exams and Human Papilloma Virus (HPV) DNA testing and cases hae remained stable during the recent decade (2009–2018). It is estimated that 14,100 new cases and 4280 deaths of invasive cervical cancer will be observed in the United States in 2022 [4]. The survival rate, in general, has been reported as 66%. However, it is lower (39%) in African American women of age ≥65 years [4].

2. Classification

Most cervical cancers arise from the junctional zone between the cervix’s outer squamous and inner columnar epithelial lining. According to World Health Organization (WHO) classification, cervical cancer can be of various histologic subtypes: (i) squamous cell carcinoma (SCC), (ii) adenocarcinoma, (iii) clear cell adenocarcinoma, (iv) adenosquamous carcinoma, (v) serous carcinoma, (vi) glassy cell carcinoma, (vii) adenoid basal carcinoma, (viii) adenoid cystic carcinoma, (ix) undifferentiated carcinoma, and (x) adenocarcinoma [5]. The SCC constitutes 75% of cervical cancer encounters, while the adenocarcinoma comprises 10–25%, adenosquamous 20%, and the rest of the histologies <5% of cases [3][5]. The dysplastic lesions of SCC can be divided into high-grade squamous intraepithelial lesions (HGSIL) and low-grade squamous intraepithelial lesions (LGSIL).

3. Imaging

Although the previous FIGO classifications did not include the imaging criteria for tumor staging, the 2018 classification has permitted the utility of imaging, which enabled better tumor assessment and staging [2][6][7]. The FIGO staging was based on clinical evaluation due to a limited access to imaging in low-income countries with high cervical cancer prevalence [8]. However, clinical staging is suboptimal for certain tumor characteristics such as size, parametrial invasion, and lymph node involvement. In patients with early-stage cervical cancer (IA and part of IB1), the microinvasion is only detectable using tissue evaluation [9]. The rest of the tumor stages, including local extension, can be assessed using reliable imaging modalities such as CT, MRI, and PET/CT, which have higher sensitivity and comparable specificity to the clinical evaluation [10][11]. The National Comprehensive Cancer Network 2022 Practice Guidelines in Oncology recommended CT or PET/CT for tumor surveillance and follow-up, and MRI for the local assessment of the stage ≥ IB1 [8][12]. Staging is essential to predict survival, and surgical planning is considered standard management for early-stage (≤IIA) cervical cancers [13]. Nguyen et al. compared PET/CT and PET/MRI and found that both modalities could identify all the primary and metastatic lesions and could strongly correlate standardized uptake value (SUV) (p = 0.03) [12] (Figure 1).
Figure 1. A 51-year-old woman with squamous cell carcinoma of the cervix. (A). Sagittal T2-weighted imaging (T2WI), (B). axial T2WI, and (C). axial fused T2WI positron emission tomography/MRI showing a large (18)F-fluorodeoxyglucose (FDG) avid cervical mass (arrow). (D). An axial positron emission tomography/computed tomography image showed FDG avidity cervical tumor (arrow).
In general, diffusion weighted imaging (DWI) is considered sensitive to assessing parametrial involvement. It has high false-positive rates if the patients have large tumor sizes or a superimposed infections. Imaging must be highly specific to demonstrate the local tumor invasion since the curative surgery can be performed based on the parametrial invasion [13]. Moreover, identifying stromal, ovarian, or corpus invasion is crucial as they are risk factors for lymphovascular space invasion (LVSI) and para-aortic lymph nodal metastases [14][15].
The successful integration of PET and MRI enabled tumor evaluation and staging in a “one-stop” approach. In a study by Steiner et al., PET/MRI has proven to have a benefit over MRI with an Area Under Curve (AUC) of 0.85 vs. 0.74 for vaginal invasion and 0.89 vs. 0.73 for parametrial invasion [13]. Similar findings were observed in the study by Sarabhai et al., who reported that PET/MRI and MRI are similar in characterizing the T-stage of the tumor (85% vs. 87%) [16]. Wang et al. reported that PET/MRI has a sensitivity, specificity, and negative predictive value (NPV) of 78.5%, 64.9%, and 74.5%, respectively, compared to MRI [17]. PET/MRI characterizes the parametrial invasion with a sensitivity and specificity of 90% and 94% [17]. Kitajima et al. reported a diagnostic accuracy of 83% compared to MRI alone in a study comprising 30 patients [18].
All the studies above were based on morphological observations on PET/MRI. Instead, Wang et al. quantified the gray level values to evaluate the parametrial invasion. They reported that high gray values corresponded to the higher FIGO stages (p < 0.05); hence, this quantification technique is practical to implement in clinical practice [17]. Wang et al. described the sensitivity, specificity, and NPV of combined PET/MRI+ gray values as 87%, 84%, and 86%, respectively, compared to MRI or PET/MRI alone, in assessing parametrial invasion (p < 0.05) [17].
The tumor cells drain from the cervix, through the lymphatic vessels, into parametrial lymph nodes, pelvic sidewall nodes, external and internal iliac nodes, and para-aortic nodes [19]. Around 10–30% of patients with cervical cancer demonstrate pelvic lymph node metastases (LNM) during an early stage. This reduces the 5-year survival rate from 94.1% (negative LNM) to 64.1% (positive LNM) [20]. Accurate lymph nodal assessment is essential for developing the individualized treatment algorithm, enhancing the prognosis, and reducing mortality. According to FIGO 2018 classification, micro- or macro-metastases to the lymph nodes are staged as IIIC regardless of tumor size or extent [21]. CT and MRI are less sensitive and specific in detecting metastatic lymph nodes, as they cannot differentiate metastatic from non-metastatic lymph nodes [22][23]. The combined PET/CT was studied, which showed high sensitivity (91% vs. 37.3%) and diagnostic accuracy (98% vs. 95%) compared to MRI (p < 0.034), and hence is recommended by the National Comprehensive Cancer Network clinical guidelines [23][24]. However, the PET is limited by identifying small lymph nodal metastases of size < 5 mm [25]. Later, PET/MRI was found to have improved diagnostic confidence over PET/CT with the advantage of a reduced radiation dose [26] (Figure 2). PET/MRI has a sensitivity, specificity, and diagnostic accuracy of 91%, 94%, and 93% in detecting nodal metastases [12]. Compared to PET/CT, PET/MRI identifies nodal metastases with a sensitivity, specificity, and accuracy of 92.3%, 88.2%, and 90%, respectively [18].
Figure 2. A 55-year-old woman with squamous cell carcinoma of the cervix, status post hysterectomy. (A). Sagittal T2-weighted imaging (T2WI), (B). post-contrast sagittal T1-weighted imaging (T1WI), (C). coronal diffusion-weighted image (DWI), (D). coronal apparent diffusion coefficient (ADC), (E). coronal fused T2WI, and (F). axial T2WI. (G). Axial fused T2WI positron emission tomography/MRI showed an enhancing (18)F-fluorodeoxyglucose (FDG) avid plaque-like thickening at the left cervix (arrow) with restricted diffusion. (H). An axial positron emission tomography/computed tomography image showed ill-defined FDG avidity (arrow). b: urinary bladder.
Cervical cancer is one of the tumors that demonstrate heterogeneity to hypoxia. Narva et al. studied the association between hypoxia and increased resistance to chemotherapy and radiotherapy in patients with SCC of the cervix [27][28]. In addition, the cancerous cells adapt to the hypoxic microenvironment, leading to genetic instability, DNA damage, and mutagenesis. This results in a rapid tumor invasion to the adjacent and distant organs. 18Fluorine-labeled 2-(2-nitro-1-H-imidazol-1-y)-N-(2,2,3,3,3-pentafluoropropyl)-acetamide (18F-EF5) is a hypoxia radiotracer that can be used in PET imaging. Increased uptake of 18F-EF5 is strongly associated with poor prognosis compared to (18)F-fluorodeoxyglucose (18F-FDG) uptake. Narva et al. reported that an increased 18F-EF5 uptake on 18F-EF5-PET/MRI correlates with hypoxia intensity, which is proportional to the tumor stage [27].
Radiotherapy is the cornerstone in the management of patients with cervical cancer. Around 25% of cervical cancer cases recur, and 24% among those are observed in already-treated patients, which points to the importance of identifying the radio-resistant tumor areas that may be managed with radiation dose escalation. A new PET tracer 68Ga-NODAGA-E[c(RGDyK)]2 ([68Ga] (Ga-RGD)) identifies the αvβ3, an integrin that is found on the newly formed vasculature. Pelvic insufficiency fractures (PIF) are a late complication of radiotherapy, and Sapienza et al. studied the incidence of PIF in patients who underwent radiotherapy for various gynecologic cancers [29]. They found that 10–18% of patients are affected by PIF, with the sacrum as the most common fracture site [29]. Azumi et al. noticed PIF in 20% of patients with cervical cancer treated with radiotherapy [30]. They also demonstrated that PET/MRI discovers PIF earlier than PET/CT (p <0.05), with the added advantage of reduced radiation exposure [30]. The earliest sign of PIF is medullary edema, which can be observed as T1 hypointense and T2 hyperintense on MRI as early as 18 days after the symptom onset [30].
The maximum standardized uptake value (SUVmax) derived from [18F] FDG-PET and diffusion metrics such as the apparent diffusion coefficient (ADC) from the MRI are studied as the prognostic indicators in patients with cervical cancer [28][31][32][33][34][35][36][37]. Many studies reported that SUVmax and ADC minimum (ADCmin) values of cervical cancer are inversely related. Olsen et al. also described reduced ADC value in intense SUVmax [38]. In addition, the SUVmax was seen to vary based on the histology and degree of differentiation of cervical cancer, and this feature aided in the prognostication [39]. SCC of the cervix is found to have higher SUVmax values than the non-squamous tumors (p = 0.153), and poorly differentiated ones have higher SUVmax than do the well-differentiated tumors (p = 0.0474) [39]. The underlying reason for the difference in SUVmax is secondary to the degree of Glucose Transporter (Glut) expression that aids in FDG uptake; however, it still needs to be validated through further studies [40][41].
The simultaneous acquisition of PET/MRI provides precise spatial correlation and a more appropriate insight into the imaging biomarkers on the voxel level. The inverse correlation between SUVmean, SUVmax, and ADCmin was also supported by Brandmaier et al. on hybrid PET/MRI. The correlations between SUVmean and ADCmin (r = −0.403) and SUVmax and ADCmin (r = −0.532) were significant in primary cervical tumors [42]. The authors demonstrated a stronger correlation between SUVmean and ADCmin (r = 0.773) and SUVmax and ADCmin (r = −0.747) in the case of recurrent cervical tumors [42]. Grueneisen et al. reported significant SUVmax and ADCmin in primary tumors but not the recurrent cervical tumors [43]. Later, Ho et al. described no correlation among SUVmax, SUVmean, ADCmin, or ADCmean. However, they found that the ratio of ADCmin/ADCmean (relative admin) and the ratio of SUVmax and SUVmean (relative SUVmax) correlated well with the adeno- and adenosquamous carcinoma of the cervix (r = −0.685) and with the well- to moderately differentiated tumors (r = −0.631) [44]. No significant correlation between relative SUVmax and relative ADCmin was found in squamous cell carcinoma and poorly differentiated tumors [44]. Surov et al. studied the SUV and ADC parameters and their relation with the KI 67 proliferation index [45]. They found that SUVmax (r = 0.59), SUVmean (r = 0.45), SUVmax/ADCmin (r = 0.71), SUVmax/ADCmean (r = 0.75), and ADCmin (r = −0.48) correlated significantly with the KI 67 proliferative index, thereby reflecting the tumor proliferation rate [45]. Additionally, SUVmean (r = 0.71) and SUVmax (r = −0.71) strongly correlate with epithelial and stromal areas and locate the metabolically active areas [45]. In addition to SUV and ADC, the other parameters include metabolic tumor volume (MTV) and total lesion glycolysis (TLG). It has been studied that these parameters conventionally correlate with the SCC antigen levels, FIGO staging, tumor size, and depth of stromal invasion [46][47]. Table 1 and Table 2 summarize the essential characteristics of PET/MRI studies in cervical and pelvic malignancies.
Table 1. Characteristics of PET/MRI studies in cervical cancer.
Serial Number Study Year of Publication Type of Study Total Patient Number Objective of Study PET MRI
Machine Details		 Result Limitations
1 Floberg et al. [48] 2018 Retrospective 17 To describe the relation between ADC and SUV values on MRI and PET imaging, respectively. nMR-integrated PET/MRI SUVmean and ADCmean (p = 0.007) and SUVmean and ADCT/M (p = 0.008) are inversely correlated. Such inverse correlation was not statistically significant when the tumors were divided into Adenocarcinomas and SCC. Retrospective study with small sample size; Heterogeneous patient cohort including patients treated with surgery or chemoradiation and cancers of varied sizes, grades, histology, and stages.
2 Nguyen et al. [12] 2020 Prospective 6 To compare the diagnostic performance of FDG PET/MRI vs. PET/CT. Discovery 710 PET/CT and Biograph mMR 3T scanner There is a strong correlation between the tumor SUVs on PET/CT and PET/MRI (p < 0.001). PET/MRI has superior diagnostic interpretation and identified 4 of the 6 tumors not identified on PET/CT. Small sample size; Lack of histological confirmation and correlation; Confounding bias as a result of the time gap between the two imaging methods
3 Surov et al. [45] 2017 Prospective 21 To study the relation between ADC and SUV values, and their importance in estimating tumor proliferation (KI 67). Biograph mMR PET/MRI SUVmax (p = 0.005), SUVmean (p = 0.04), ADCmin (p = 0.03), SUVmax/ADCmin (p = 0.001), and SUVmax/ADCmean (p = 0.001) are significantly correlated with KI-67 Small sample size
4 Anner et al. [23] 2016 Retrospective 27 To study the quality of MRI, PET/CT, and PET/MRI in the lymph nodal staging of cervical carcinoma. Authors compared the diagnostic efficacy of imaging compared to histological analyses. 64-row multidetector PET/CT, Magnetom trio 3-T MRI; PET/MRI images were reconstructed virtually from individual MRI and PET/CT images PET/MRI has similar sensitivity (64%) and moderate specificity (77% vs. 69%), PPV (75% vs. 69%), and NPV (67% vs. 64%) compared to PET/CT images. Hence, the study concluded that PET/MRI is not superior to PET/CT in the lymph nodal staging of cervical cancer patients. Small population; Retrospective study design; Discrepancy between the imaging and histological analyses; Virtually reconstructed PET/MRI images rather than originally obtained scanner images.
5 Wang et al. [17] 2019 Retrospective 79 To study the diagnostic efficacy of integrated PET/MRI in identifying the parametrial involvement and the importance of gray value while interpreting PET/MRI. Signa PET/MRI (Integrated scanner) The accuracy, sensitivity, and NPV of PET/MRI are higher than conventional MRI; however, it was not significant (p = 1.0). The accuracy, sensitivity, and NPV of combined PET/MRI+ gray values are significantly superior to conventional MRI (p < 0.05). Retrospective analysis resulting in selection bias; Small sample size; No evaluation between multiple observers.
6 Narva et al. [27] 2021 Prospective 9 To evaluate the correlation between PET/MRI imaging (18F-EF5) and endogenous hypoxia (such as HIF1, CAIX, and GLUT1) tracers. Ingenuity TF PET/MRI 18F-EF5 max T/M ratio (p = 0.036) and HSV (p = 0.040) correlated with advanced-stage tumors and HSV correlated with tumor size (p = 0.02). Small sample size; the chemistry of EF5 is complex, which may limit its broad application.
7 Brandmaier et al. [42] 2015 Prospective 31 To study the correlation between ADC and SUV values on simultaneous PET/MRI and their importance in primary and recurrent cervical cancer. Magnetom Biograph mMR PET/MRI scanner There was a significant inverse correlation between ADCmin and SUVmax (p = 0.05) and SUVmean and ADCmin (p = 0.03) in patients with primary tumors, primary metastases, and recurrent tumors (p = 0.002); No significant correlation among patients with recurrent metastases (p > 0.05). Histopathological correlation was not performed; Included are the visible lesions on both imaging modalities; Average uptake time for FDG on PET/MRI is approximately 30 min, which could affect the SUV measurements.
8 Umutlu et al. [49] 2020 Prospective 30 To evaluate if PET/MRI can identify N- and M-staging of primary cervical cancers and, based on the results, if it can be a platform for radiomics analysis and artificial intelligence algorithms. Biograph mMR PET/MRI scanner PET/MRI is superior in determining the M-stage than the N-stage, with a sensitivity and specificity of 91% and 92%, respectively. AUC was 0.97 for the M-staging and 0.82 for the N-staging. Small patient cohort; Heterogeneous histopathology and tumor sizes.
9 Meyer et al. [50] 2018 Prospective 18 To study the correlation between the parameters of cervical cancer’s histopathology and PET/MRI imaging. Biograph mMR PET/MRI scanner Authors identified no significant correlation between SUVmax, SUVmean, and ADC histogram parameters; Total lesion glycolysis was correlated inversely with p25, p75, p90, ADCmedian, and ADCmode. MTV also significantly corelated with ADCmean, p10, p25, p75, p90, ADCmedian, and ADCmode. Retrospective study; Small sample size; Only squamous cell carcinomas were evaluated.
10 Sarabhai et al. [16] 2017 Prospective 53 To compare the efficacy of PET/MRI and MRI alone for evaluating primary and metastatic cervical tumors. Biograph mMR whole-body PET/MRI scanner T-staging: PET/MRI vs. MRI alone classified 85% vs. 87% of tumors (p > 0.1); N-staging: Sensitivity, specificity, and accuracy of PET/MRI were 83%, 90%, and 87%, respectively, and that of MRI alone were 71%, 83%, and 77%, respectively (p > 0.05); M-staging: Sensitivity, specificity, and accuracy of PET/MRI were 87%, 92%, and 91%, respectively, while that of MRI alone were 67%, 90%, and 83%, respectively (p > 0.05). Small patient cohort and statistical power; Authors used restricted reference standards for all suspicious lesions.
11 Steiner et al. [13] 2021 Retrospective 33 To compare the efficiency of PET/MRI and MRI alone; Role of ADC and SUV values in primary cervical cancer. Hybrid 3T Ingenuity TF PET/MRI scanner on a phased-array SENSE XL PET/MRI has higher AUC compared to MRI alone in detecting deep stromal invasion (0.96 vs. 0.74), parametrial invasion (0.89 vs. 0.73), and vaginal invasion (0.85 vs. 0.74); PET/MRI is more sensitive than MRI alone in ruling out residual tumors after radical cone biopsy or hysterectomy (89% vs. 44%); PET/MRI has equal AUC to MRI alone in pelvic nodal staging (0.73 vs. 0.73) but not distant metastases (0.80 vs. 0.67). Retrospective study; Small cohort; ADC values were obtained from ROI-based mean, rather than whole tumor volume.
12 Vojtisek et al. [51] 2021 Retrospective 66 To identify the role of PET/MRI in predicting tumor treatment response to chemoradiotherapy. Biograph mMR PET/MRI scanner The PET/MRI parameters, including mid-MTV, mid-TLG, mid-TLG-S, mid-MTV-s, mid-tumor size, and change in % SUVmax, were significantly different between the responders and non-responders. Of all the parameters, mid-MTV-s showed moderate discrimination ability to identify non-responders. Small cohort; Shorter follow-up interval.
13 Ahangari et al. [52] 2021 Retrospective 18 To evaluate the workflow with PET/MRI in cervical cancer patients undergoing radiotherapy. Biograph mMR PET/MRI scanner PET images reconstructed with sCT and CT had no significant difference in quantification for all patients. Residual error due to alignment issues between CT and MRI; As the weight is the limiting factor, one of the patients in the current study did not fit the PET/MRI coil holder.
14 Kim et al. [53] 2009 Retrospective 79 To study the efficacy of fusion PET/MRI in detecting of metastatic lymph nodes in cervical cancer. Signa 1.5T MRI; Biograph LSO or Discovery LS PET/CT scanner; Images are fused using advantage windows workstation. PET/MRI has higher diagnostic performance than PET/CT in identifying the metastatic lymph nodes (p = 0.0259); In addition, it has sensitivity and specificity of 54% and 93%, respectively, and that of PET/CT are 44% and 94%, respectively. Verification bias as the surgeons are guided by pre-operative MRI and PET/CT; Node-by-node comparison was not performed; instead, the notable lymph node identified grossly or on imaging was considered.
15 Ahangari et al. [54] 2022 Prospective 10 To study the role of simultaneous PET/MRI in the characterization of tumor heterogeneity before chemoradiotherapy. Biograph Vision 600 PET/CT scanner; Biograph mMR whole-body PET/MRI scanner There was a strong correlation between the SUV and ADC values in patients with cervical cancer (r = −0.7). Small patient population.
16 Azumi et al. [30] 2021 Retrospective 149 To study the risk factors associated with pelvic insufficiency fractures in cervical cancer and the role of PET/MRI in PIF diagnosis.   The pelvic insufficiency fractures were detected earlier on PET/MRI compared to PET/CT (p < 0.05). Retrospective study; Measured SUV values on PET/CT and PET/MRI may differ due to the difference in detectors and reconstruction methods.
17 Gong et al. [55] 2021 Retrospective 114 To study the role of PET/MRI as diagnostic imaging in cervical cancer. Biograph Truepoint 64-row multidetector PET/CT and Magnetom Biograph mMR PET/MRI PET/MRI is more sensitive (90–100% vs. 62–67%) and specific (96% vs. 93%) than PET/CT in detecting primary tumors and bladder invasion. The SUVmax and SUVmean values obtained on PET/MRI were higher than PET/CT in patients with primary tumors, bladder involvement, and para-aortic lymph nodal invasion (p < 0.001). The difference is insignificant in patients with vaginal (p = 0.3) or pelvic lymph node involvement (p = 0.4). Different FDG uptake periods between the PET/CT and PET/MRI were considered; the diagnostic value of lymph nodal size was not analyzed
PET: Positron Emission Tomography; MRI: Magnetic Resonance Imaging; ADC: Apparent Diffusion Coefficient; SUV: Standardized Uptake Volume; ADCT/M: SCC: Squamous cell carcinoma; FDG: (18)F-fluorodeoxyglucose; CT: Computed tomography; KI-67: Proliferation Index; PPV: Positive Predictive Value; NPV: Negative Predictive Value; 18F-EF5: 18Fluorine-labeled 2-(2-nitro-1-H-imidazol-1-y)-N-(2,2,3,3,3-pentafluoropropyl)-acetamide; HIF1: Hypoxia-Inducible Factor 1; CAIX: Carbonic Anhydrase; GLUT1: Glucose Transporter; 18F-EF5 T/M ratio: 18F-EF5 Tumor to Muscle uptake ratio; HSV: Hypoxic subvolume; MTV: Metabolic Tumor Volume; AUC: Area Under the Curve; TLG: Total Lesion Glycolysis; mid-TLG-S and mid-MTV-s: Midtreatment parameters at week 5 of chemoradiotherapy; sCT: MRI-derived Synthetic CT; PIF: Pelvic Insufficiency Fracture.
Table 2. Characteristics of PET/MRI studies in pelvic malignancies.
Serial Number Study Year of Publication Type of Study Total Patients in Study Objective PET MR Machine Details Result Limitations
1 Xin et al. [56] 2016 Prospective 45 To evaluate the diagnostic performance of PET/MRI in abdominal and pelvic tumors compared to PET/CT. Discovery 690 PET/CT; Ingenuity TF PET/MRI scanner There was no significant difference in tumor identification on PET/CT and PET/MRI (p = 0.18); However, PET/MRI images had better quality than PET/CT; There was an excellent correlation of SUV value to the focal lesions (R = 0.948). PET/MRI was obtained 105 min after PET/CT, which might have led to physical decay and tracer biokinetics; The position of arms varied between the PET/CT and PET/MRI, which could be the reason for the difference in image quality.
2 Queiroz et al. [57] 2015 Prospective 26 To study the role of PET/CT and PET/MRI in staging and re-staging of advanced gynecological cancers. Discovery PET/CT 690; the fusion was performed on the Advantage workstation PET/MRI is superior to PET/CT for primary tumor identification (p < 0.001). No difference was found in the evaluation of lymph nodes and abdominal metastases. Small patient population; PET/MRI was not obtained from whole-body imaging.
3 Spick et al. [58] 2016 Retrospective 69 To study whether PET/MRI has improved diagnostic performance in cancer assessment.   PET/MRI has similar diagnostic accuracy as PET/CT in the detection of primary and recurrent pelvic cancers; However, the diagnostic confidence of PET/MRI is higher than PET/CT in benign (p < 0.05) and malignant (p < 0.01) lesions. In addition, lesion conspicuity was better on PET/MRI compared to PET/CT.  
4 Grueneisen et al. [59] 2014 Prospective 48 To study the role of DWI in PET/MRI imaging for primary and recurrent tumor evaluation. Biograph mMR 3-T PET/MRI scanner There was no significant effect of DWI on the diagnostic performance of PET/MRI (p > 0.05); In fact, higher diagnostic confidence was noted with PET than with the DWI (p < 0.05). Included 48 patients; however, further studies are required to validate the results. Image and histopathological correlation were performed using restricted reference standards.
5 Schwartz et al. [60] 2018 Prospective 18 To compare the diagnostic ability of PET/MRI to PET/CT for patients with gynecologic malignancy. Biograph mCT PET/CT scanner; Biograph mMR 3-T PET/MRI scanner PET/CT and PET/MRI have similar diagnostic potential in visualizing the regional lymph nodes and abdominal metastases, whereas PET/MRI is more sensitive than PET/CT in demonstrating the soft-tissue involvement. Small cohort; Heterogeneous sample; PET/MRI was limited to only abdominopelvic cavity.
6 Nakajo et al. [61] 2010 Retrospective 31 To compare the diagnostic accuracy of FDG PET/CT vs. PET/MRI in gynecological malignancies. Fusion of PET/CT and MRI images was conducted using Osirix imaging software PET/T2W MRI images localized the lesion better than the PET/T1W or PET/CT images during the first (p < 0.01), second (p < 0.01), and third (p < 0.01) evaluation. Misregistration secondary to motion artifact between PET and MRI; Pelvis MR images, instead of whole-body MR images, were used for fusion images; Only two readers scored the images.
PET: Positron Emission Tomography; MRI: Magnetic Resonance Imaging; ADC: Apparent Diffusion Coefficient; SUV: Standardized Uptake Volume; CT: Computed tomography; FDG: (18)F-fluorodeoxyglucose; DWI: Diffusion Weighted Imaging.

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Subjects: Oncology
Contributors MDPI registered users' name will be linked to their SciProfiles pages. To register with us, please refer to https://encyclopedia.pub/register : Mayur Virarkar , Sai Swarupa Vulasala ,
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Update Date: 07 Mar 2023
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