Retrospective analysis of the 18F-FDG PET/CT cutoff value for metabolic parameters was performed as a prediction model to evaluate risk factors for endometrial cancer

Abstract Purpose The study retrospectively analyzed the accuracy and predictive ability of preoperative integrated whole-body 18F-FDG PET/CT for the assessment of high-risk factors in patients with endometrial carcinoma (EC). Materials and methods A total of 205 patients with endometrial cancer who...

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Main Authors: Ye Yang, Yu-Qin Pan, Min Wang, Song Gu, Wei Bao
Format: Article
Language:English
Published: BMC 2023-12-01
Series:Radiation Oncology
Subjects:
Online Access:https://doi.org/10.1186/s13014-023-02382-6
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author Ye Yang
Yu-Qin Pan
Min Wang
Song Gu
Wei Bao
author_facet Ye Yang
Yu-Qin Pan
Min Wang
Song Gu
Wei Bao
author_sort Ye Yang
collection DOAJ
description Abstract Purpose The study retrospectively analyzed the accuracy and predictive ability of preoperative integrated whole-body 18F-FDG PET/CT for the assessment of high-risk factors in patients with endometrial carcinoma (EC). Materials and methods A total of 205 patients with endometrial cancer who underwent preoperative PET/CT at Shanghai General Hospital from January 2018 to December 2021 were retrospectively evaluated and last follow-up was June 2023. Our study evaluated the ability and optimal cutoff values of three metabolic and volumetric parameters—standardized uptake value (SUV), metabolic tumor volume (MTV) and total lesion glycolysis (TLG)—to predict deep myometrial invasion (DMI), endocervical stroma invasion (ESI) and lymph node metastases (LNM) in endometrial cancer. The accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of PET/CT were used to assess the diagnostic performance for the prediction. Results Our study demonstrated a significant relationship between SUVmax (11.29, 17.38, 9.47), SUVmean (5.20, 6.12, 4.49), MTV (38.15, 36.28, 33.79 ml), and TLG (199.30, 225.10, 156.40 g) on PET/CT and histologically confirmed DMI, ESI and LNM in endometrial carcinoma (EC), with sensitivity, specificity, accuracy, PPV, and NPV of 100%/100%/100%, 96.53%/98.89%/87.14%, 97.56%/99.02%/91.22%, 92.42%/92.85%/78.31%, and 100%/100%/100%, respectively. Our study showed a risk model based on optimal cutoff values for MTV and TLG of 19.6 ml/126.3 g, 20.54 ml/84.80 g and 24 ml/49.83 g to preoperatively predict DMI, ESI, and LNM, respectively, in endometrial carcinoma. The 4-year OS (HR) for Stage IA, IB, II, III and IV according to 2009 FIGO was 98.00% (0.22), 95.20% (0.04), 83.90% (0.18), 90.50% (0.09) and 60% (0.51). Accordingly, estimated 4-year DFS (HR) for the stage IA-III was 98% (0.02), 95.20% (0.05), 76.90% (0.27) and 76.30% (0.35), all the patients in stage IV occurred recurrence and progression. Conclusion The present study showed patients with MTV > = 19.6 ml of MI and PET- positive LN with MTV cutoff > = 24 ml tended to predict poor OS and PFS in endometrial carcinoma. The cutoff of MTV and TLG in PET/CT assessment could be an independent prognostic factors to predict aggressive forms of EC. Graphic Abstract
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spelling doaj.art-163e73c0349b4380af42a1f958daacba2023-12-10T12:27:03ZengBMCRadiation Oncology1748-717X2023-12-0118111510.1186/s13014-023-02382-6Retrospective analysis of the 18F-FDG PET/CT cutoff value for metabolic parameters was performed as a prediction model to evaluate risk factors for endometrial cancerYe Yang0Yu-Qin Pan1Min Wang2Song Gu3Wei Bao4Obstetrics and Gynecology Department, Shanghai General Hospital, Shanghai Jiao Tong University School of MedicineSurgical Department, Shanghai General Hospital, Shanghai Jiao Tong University School of MedicineGeneral Surgery Department, Shanghai General Hospital, Shanghai Jiao Tong University School of MedicineTrauma Center, Shanghai General Hospital, Shanghai Jiao Tong University School of MedicineObstetrics and Gynecology Department, Shanghai General Hospital, Shanghai Jiao Tong University School of MedicineAbstract Purpose The study retrospectively analyzed the accuracy and predictive ability of preoperative integrated whole-body 18F-FDG PET/CT for the assessment of high-risk factors in patients with endometrial carcinoma (EC). Materials and methods A total of 205 patients with endometrial cancer who underwent preoperative PET/CT at Shanghai General Hospital from January 2018 to December 2021 were retrospectively evaluated and last follow-up was June 2023. Our study evaluated the ability and optimal cutoff values of three metabolic and volumetric parameters—standardized uptake value (SUV), metabolic tumor volume (MTV) and total lesion glycolysis (TLG)—to predict deep myometrial invasion (DMI), endocervical stroma invasion (ESI) and lymph node metastases (LNM) in endometrial cancer. The accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of PET/CT were used to assess the diagnostic performance for the prediction. Results Our study demonstrated a significant relationship between SUVmax (11.29, 17.38, 9.47), SUVmean (5.20, 6.12, 4.49), MTV (38.15, 36.28, 33.79 ml), and TLG (199.30, 225.10, 156.40 g) on PET/CT and histologically confirmed DMI, ESI and LNM in endometrial carcinoma (EC), with sensitivity, specificity, accuracy, PPV, and NPV of 100%/100%/100%, 96.53%/98.89%/87.14%, 97.56%/99.02%/91.22%, 92.42%/92.85%/78.31%, and 100%/100%/100%, respectively. Our study showed a risk model based on optimal cutoff values for MTV and TLG of 19.6 ml/126.3 g, 20.54 ml/84.80 g and 24 ml/49.83 g to preoperatively predict DMI, ESI, and LNM, respectively, in endometrial carcinoma. The 4-year OS (HR) for Stage IA, IB, II, III and IV according to 2009 FIGO was 98.00% (0.22), 95.20% (0.04), 83.90% (0.18), 90.50% (0.09) and 60% (0.51). Accordingly, estimated 4-year DFS (HR) for the stage IA-III was 98% (0.02), 95.20% (0.05), 76.90% (0.27) and 76.30% (0.35), all the patients in stage IV occurred recurrence and progression. Conclusion The present study showed patients with MTV > = 19.6 ml of MI and PET- positive LN with MTV cutoff > = 24 ml tended to predict poor OS and PFS in endometrial carcinoma. The cutoff of MTV and TLG in PET/CT assessment could be an independent prognostic factors to predict aggressive forms of EC. Graphic Abstracthttps://doi.org/10.1186/s13014-023-02382-6Endometrial cancer18F-FDG PET/CTStandardized uptake value (SUV)Metabolic Tumor volume (MTV)Total lesion glycolysis (TLG)Deep myometrial invasion (DMI)
spellingShingle Ye Yang
Yu-Qin Pan
Min Wang
Song Gu
Wei Bao
Retrospective analysis of the 18F-FDG PET/CT cutoff value for metabolic parameters was performed as a prediction model to evaluate risk factors for endometrial cancer
Radiation Oncology
Endometrial cancer
18F-FDG PET/CT
Standardized uptake value (SUV)
Metabolic Tumor volume (MTV)
Total lesion glycolysis (TLG)
Deep myometrial invasion (DMI)
title Retrospective analysis of the 18F-FDG PET/CT cutoff value for metabolic parameters was performed as a prediction model to evaluate risk factors for endometrial cancer
title_full Retrospective analysis of the 18F-FDG PET/CT cutoff value for metabolic parameters was performed as a prediction model to evaluate risk factors for endometrial cancer
title_fullStr Retrospective analysis of the 18F-FDG PET/CT cutoff value for metabolic parameters was performed as a prediction model to evaluate risk factors for endometrial cancer
title_full_unstemmed Retrospective analysis of the 18F-FDG PET/CT cutoff value for metabolic parameters was performed as a prediction model to evaluate risk factors for endometrial cancer
title_short Retrospective analysis of the 18F-FDG PET/CT cutoff value for metabolic parameters was performed as a prediction model to evaluate risk factors for endometrial cancer
title_sort retrospective analysis of the 18f fdg pet ct cutoff value for metabolic parameters was performed as a prediction model to evaluate risk factors for endometrial cancer
topic Endometrial cancer
18F-FDG PET/CT
Standardized uptake value (SUV)
Metabolic Tumor volume (MTV)
Total lesion glycolysis (TLG)
Deep myometrial invasion (DMI)
url https://doi.org/10.1186/s13014-023-02382-6
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