Literature DB >> 33778756

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

Akilan Gopal1, Yin Xi1, Rathan M Subramaniam1, Daniella F Pinho1.   

Abstract

Purpose: To evaluate the impact of intratumoral metabolic heterogeneity (IMH) and other quantitative fluorine 18 (18F) fluorodeoxyglucose (FDG) PET/CT parameters for predicting progression-free survival (PFS) and overall survival (OS) in patients with esophageal cancer. Materials and
Methods: In this retrospective study, an automated gradient-based segmentation method was used to assess the maximum standardized uptake value, mean standardized uptake value, metabolic tumor volume (MTV), and IMH index of the primary tumor in patients with biopsy-proven adenocarcinoma or squamous cell carcinoma of the esophagus with an initial staging 18F-FDG PET/CT. Data were collected between July 2006 and February 2016. OS and PFS were calculated using multivariable Cox proportional hazards regression with the adjustment (as covariates) of age, sex, weight, stage, tumor type, tumor grade, and treatment. All PET parameters were standardized before analysis. Log-rank tests were performed, and corresponding Kaplan-Meier survival plots were generated.
Results: A total of 71 patients (mean age, 64 years ± 10 [standard deviation], 62:9 men:women) were included. Median follow-up time was 28.2 months (range, 4-38 months), and median survival was 16.1 months (range, 0.1-60.3 months). Higher MTV was associated with reduced PFS for every standard deviation increase (hazard ratio [HR], 0.193; 95% CI: 0.052, 0.711; P = .01). Higher IMH was associated with reduced PFS for every standard deviation decrease in the area under the curve (HR, 10.78; 95% CI: 1.31, 88.96; P = .03).
Conclusion: PFS for patients with esophageal cancer was associated with MTV and with IMH.Keywords: Esophagus, Neoplasms-Primary, PET/CT, Tumor Response © RSNA, 2020. 2020 by the Radiological Society of North America, Inc.

Entities:  

Year:  2020        PMID: 33778756      PMCID: PMC7983774          DOI: 10.1148/rycan.2020200022

Source DB:  PubMed          Journal:  Radiol Imaging Cancer        ISSN: 2638-616X


  34 in total

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Journal:  AJR Am J Roentgenol       Date:  2015-05       Impact factor: 3.959

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Authors:  Anna R Cervino; Laura Evangelista; Rita Alfieri; Carlo Castoro; Vanna Chiarion Sileni; Fabio Pomerri; Luigi Corti; Pier C Muzzio
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3.  Confirmation of the prognostic value of pretherapeutic tumor SUR and MTV in patients with esophageal squamous cell carcinoma.

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Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-04-04       Impact factor: 9.236

Review 4.  The management of localized esophageal squamous cell carcinoma: Western approach.

Authors:  Neeha Zaidi; Ronan J Kelly
Journal:  Chin Clin Oncol       Date:  2017-10

Review 5.  The epidemic of oesophageal carcinoma: Where are we now?

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Journal:  Cancer Epidemiol       Date:  2016-02-03       Impact factor: 2.984

6.  Prognostic Significance of Intratumoral Metabolic Heterogeneity on 18F-FDG PET/CT in Pathological N0 Non-Small Cell Lung Cancer.

Authors:  Do-Hoon Kim; Ji-Hoon Jung; Seung Hyun Son; Choon-Young Kim; Chae Moon Hong; Jong-Ryool Oh; Shin Young Jeong; Sang-Woo Lee; Jaetae Lee; Byeong-Cheol Ahn
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8.  [Correlation between PET-CT 18FDG uptake in primary lesions and clinicopathological parameters in esophageal carcinoma patients].

Authors:  Rui Feng; Ming-Huan Li; Li Kong; Fang Shi; Guo-Ren Yang; Jin-Ming Yu
Journal:  Zhonghua Zhong Liu Za Zhi       Date:  2009-06

9.  Population attributable risks of esophageal and gastric cancers.

Authors:  Lawrence S Engel; Wong-Ho Chow; Thomas L Vaughan; Marilie D Gammon; Harvey A Risch; Janet L Stanford; Janet B Schoenberg; Susan T Mayne; Robert Dubrow; Heidrun Rotterdam; A Brian West; Martin Blaser; William J Blot; Mitchell H Gail; Joseph F Fraumeni
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10.  Does Metastatic Lymph Node SUVmax Predict Survival in Patients with Esophageal Cancer?

Authors:  Betül Vatankulu; Yasemin Şanlı; Esra Kaytan Sağlam; Serkan Kuyumcu; Zeynep Gözde Özkan; Ebru Yılmaz; Sevim Purisa; Işık Adalet
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  2 in total

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

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2.  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

  2 in total

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