Literature DB >> 30300200

Prognostic Value of Volumetric Parameters of Pretreatment 18F-FDG PET/CT in Esophageal Cancer: A Systematic Review and Meta-analysis.

Sangwon Han, Yeon Joo Kim1, Sungmin Woo2, Chong Hyun Suh3, Jong Jin Lee.   

Abstract

PURPOSE: We performed a systematic review and meta-analysis on the prognostic value of metabolic tumor volume (MTV) and total lesion glycolysis (TLG) derived from pretreatment F-FDG PET/CT in patients with esophageal cancer.
METHODS: PubMed and EMBASE databases were searched until April 12, 2018, for studies that evaluated MTV or TLG as prognostic factors in esophageal cancer, with overall survival (OS) and event-free survival serving as the end points. Hazard ratios (HRs) were meta-analytically pooled using a random-effects model. Subgroup analyses based on the clinicopathological and PET variables were performed.
RESULTS: In total, 16 studies with 1294 patients were included. The pooled HRs of MTV and TLG for OS were 2.26 (95% confidence interval [CI], 1.73-2.96) and 2.23 (95% CI, 1.73-2.87), respectively. Regarding event-free survival, the pooled HRs of MTV and TLG were 2.03 (95% CI, 1.66-2.49) and 2.57 (95% CI, 1.82-3.62), respectively. Metabolic tumor volume was found to be a significant prognostic factor for OS consistently across multiple subgroups classified based on stage, histological subtype, treatment, delineation of volume of interest, and the determination method of cutoff value, with pooled HRs ranging from 1.96 to 2.54.
CONCLUSIONS: In patients with esophageal cancer, MTV and TLG derived from pretreatment F-FDG PET are significant prognostic factors. As prognostic biomarkers, volumetric metabolic parameters may bolster the role of F-FDG PET in the management of esophageal cancer.

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Year:  2018        PMID: 30300200     DOI: 10.1097/RLU.0000000000002291

Source DB:  PubMed          Journal:  Clin Nucl Med        ISSN: 0363-9762            Impact factor:   7.794


  12 in total

1.  Intratumoral Metabolic Heterogeneity and Other Quantitative 18F-FDG PET/CT Parameters for Prognosis Prediction in Esophageal Cancer.

Authors:  Akilan Gopal; Yin Xi; Rathan M Subramaniam; Daniella F Pinho
Journal:  Radiol Imaging Cancer       Date:  2020-12-18

2.  Pretreatment 18F-FDG PET/CT-Derived Parameters in Predicting Clinical Outcomes of Locally Advanced Upper Third Esophageal Squamous Cell Carcinoma After Definitive Chemoradiation Therapy.

Authors:  Le Ngoc Ha; Nguyen Dinh Chau; Bui Quang Bieu; Mai Hong Son
Journal:  Nucl Med Mol Imaging       Date:  2022-05-10

3.  Prognostic Significance of FDG PET/CT in Esophageal Squamous Cell Carcinoma in the Era of the 8th AJCC/UICC Staging System.

Authors:  Hyunjong Lee; Kyung Soo Lee; Yang Won Min; Hong Kwan Kim; Jae Ill Zo; Young Mog Shim; Joon Young Choi
Journal:  Front Oncol       Date:  2022-06-30       Impact factor: 5.738

4.  Can 18F-FDG PET/CT Radiomics Features Predict Clinical Outcomes in Patients with Locally Advanced Esophageal Squamous Cell Carcinoma?

Authors:  Vetri Sudar Jayaprakasam; Peter Gibbs; Natalie Gangai; Raazi Bajwa; Ramon E Sosa; Randy Yeh; Megan Greally; Geoffrey Y Ku; Marc J Gollub; Viktoriya Paroder
Journal:  Cancers (Basel)       Date:  2022-06-20       Impact factor: 6.575

5.  Prediction of the effects of radiation therapy in esophageal cancer using diffusion and perfusion MRI.

Authors:  Peiliang Wang; Xin Wang; Liang Xu; Jinming Yu; Feifei Teng
Journal:  Cancer Sci       Date:  2021-10-20       Impact factor: 6.716

6.  Association of metabolic and genetic heterogeneity in head and neck squamous cell carcinoma with prognostic implications: integration of FDG PET and genomic analysis.

Authors:  Jinyeong Choi; Jeong-An Gim; Chiwoo Oh; Seunggyun Ha; Howard Lee; Hongyoon Choi; Hyung-Jun Im
Journal:  EJNMMI Res       Date:  2019-11-21       Impact factor: 3.138

7.  18F- FDG PET/CT-derived parameters predict clinical stage and prognosis of esophageal cancer.

Authors:  Styliani Mantziari; Anastasia Pomoni; John O Prior; Michael Winiker; Pierre Allemann; Nicolas Demartines; Markus Schäfer
Journal:  BMC Med Imaging       Date:  2020-01-22       Impact factor: 1.930

8.  Prognostic Value of 18F-FDG PET/CT Volume-Based Metabolic Parameters in Patients with Node-Negative Stage II Esophageal Squamous Cell Carcinoma.

Authors:  Daniel Hueng-Yuan Shen; Hung-Pin Chan; Fu-Ren Tsai; Chin Hu; Allan Yi-Nan Chen; Hung-Yen Chan; Che-Hsin Lee; Kuo-Pin Chuang; Ming-Hui Yang; Yu-Chang Tyan
Journal:  Metabolites       Date:  2021-12-22

9.  Total Lesion Glycolysis Estimated by a Radiomics Model From CT Image Alone.

Authors:  Hongwei Si; Xinzhong Hao; Lianyu Zhang; Xiaokai Xu; Jianzhong Cao; Ping Wu; Li Li; Zhifang Wu; Shengyang Zhang; Sijin Li
Journal:  Front Oncol       Date:  2021-06-17       Impact factor: 6.244

10.  Pan-cancer analysis of clinical significance and associated molecular features of glycolysis.

Authors:  Yi-Chen Liu; Peng Lin; Yu-Jia Zhao; Lin-Yong Wu; Yu-Quan Wu; Jin-Bo Peng; Yun He; Hong Yang
Journal:  Bioengineered       Date:  2021-12       Impact factor: 3.269

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