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Prognostic value of pre-therapeutic FDG-PET radiomic analysis in gastro-esophageal junction cancer

The main aim of this study was to evaluate the prognostic value of radiomic approach in pre-therapeutic (18)F-fluorodeoxyglucose positron-emission tomography (FDG-PET/CT) in a large cohort of patients with gastro-esophageal junction cancer (GEJC). This was a retrospective monocenter study including...

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Autores principales: Amrane, Karim, Thuillier, Philippe, Bourhis, David, Le Meur, Coline, Quere, Chloe, Leclere, Jean-Christophe, Ferec, Marc, Jestin-Le Tallec, Veronique, Doucet, Laurent, Alemany, Pierre, Salaun, Pierre-Yves, Metges, Jean-Philippe, Schick, Ulrike, Abgral, Ronan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10082755/
https://www.ncbi.nlm.nih.gov/pubmed/37031233
http://dx.doi.org/10.1038/s41598-023-31587-8
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author Amrane, Karim
Thuillier, Philippe
Bourhis, David
Le Meur, Coline
Quere, Chloe
Leclere, Jean-Christophe
Ferec, Marc
Jestin-Le Tallec, Veronique
Doucet, Laurent
Alemany, Pierre
Salaun, Pierre-Yves
Metges, Jean-Philippe
Schick, Ulrike
Abgral, Ronan
author_facet Amrane, Karim
Thuillier, Philippe
Bourhis, David
Le Meur, Coline
Quere, Chloe
Leclere, Jean-Christophe
Ferec, Marc
Jestin-Le Tallec, Veronique
Doucet, Laurent
Alemany, Pierre
Salaun, Pierre-Yves
Metges, Jean-Philippe
Schick, Ulrike
Abgral, Ronan
author_sort Amrane, Karim
collection PubMed
description The main aim of this study was to evaluate the prognostic value of radiomic approach in pre-therapeutic (18)F-fluorodeoxyglucose positron-emission tomography (FDG-PET/CT) in a large cohort of patients with gastro-esophageal junction cancer (GEJC). This was a retrospective monocenter study including 97 consecutive patients with GEJC who underwent a pre-therapeutic FDG-PET and were followed up for 3 years. Standard first-order radiomic PET indices including SUV(max), SUV(mean), SUV(peak), MTV and TLG and 32 textural features (TFs) were calculated using LIFEx software on PET imaging. Prognostic significance of these parameters was assessed in univariate and multivariate analysis. Relapse-free survival (RFS) and overall survival (OS) were respectively chosen as primary and secondary endpoints. An internal validation cohort was used by randomly drawing one-third of included patients. The main characteristics of this cohort were: median age of 65 years [41–88], sex ratio H/F = 83/14, 81.5% of patients with a histopathology of adenocarcinoma and 43.3% with a stage IV disease. The median follow-up was 28.5 months [4.2–108.5]. Seventy-seven (79.4%) patients had locoregional or distant progression or recurrence and 71 (73.2%) died. In univariate analysis, SUV(mean), Histogram-Entropy and 2 TFs (GLCM-Homogeneity and GLCM-Energy) were significantly correlated with RFS and OS, as well as 2 others TFs (GLRLM-LRE and GLRLM-GLNU) with OS only. In multivariate analysis, Histogram-Entropy remained an independent prognostic factor of both RFS and OS whereas SUV(mean) was an independent prognostic factor of OS only. These results were partially confirmed in our internal validation cohort of 33 patients. Our results suggest that radiomic approach reveals independent prognostic factors for survival in patients with GEJC.
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spelling pubmed-100827552023-04-10 Prognostic value of pre-therapeutic FDG-PET radiomic analysis in gastro-esophageal junction cancer Amrane, Karim Thuillier, Philippe Bourhis, David Le Meur, Coline Quere, Chloe Leclere, Jean-Christophe Ferec, Marc Jestin-Le Tallec, Veronique Doucet, Laurent Alemany, Pierre Salaun, Pierre-Yves Metges, Jean-Philippe Schick, Ulrike Abgral, Ronan Sci Rep Article The main aim of this study was to evaluate the prognostic value of radiomic approach in pre-therapeutic (18)F-fluorodeoxyglucose positron-emission tomography (FDG-PET/CT) in a large cohort of patients with gastro-esophageal junction cancer (GEJC). This was a retrospective monocenter study including 97 consecutive patients with GEJC who underwent a pre-therapeutic FDG-PET and were followed up for 3 years. Standard first-order radiomic PET indices including SUV(max), SUV(mean), SUV(peak), MTV and TLG and 32 textural features (TFs) were calculated using LIFEx software on PET imaging. Prognostic significance of these parameters was assessed in univariate and multivariate analysis. Relapse-free survival (RFS) and overall survival (OS) were respectively chosen as primary and secondary endpoints. An internal validation cohort was used by randomly drawing one-third of included patients. The main characteristics of this cohort were: median age of 65 years [41–88], sex ratio H/F = 83/14, 81.5% of patients with a histopathology of adenocarcinoma and 43.3% with a stage IV disease. The median follow-up was 28.5 months [4.2–108.5]. Seventy-seven (79.4%) patients had locoregional or distant progression or recurrence and 71 (73.2%) died. In univariate analysis, SUV(mean), Histogram-Entropy and 2 TFs (GLCM-Homogeneity and GLCM-Energy) were significantly correlated with RFS and OS, as well as 2 others TFs (GLRLM-LRE and GLRLM-GLNU) with OS only. In multivariate analysis, Histogram-Entropy remained an independent prognostic factor of both RFS and OS whereas SUV(mean) was an independent prognostic factor of OS only. These results were partially confirmed in our internal validation cohort of 33 patients. Our results suggest that radiomic approach reveals independent prognostic factors for survival in patients with GEJC. Nature Publishing Group UK 2023-04-08 /pmc/articles/PMC10082755/ /pubmed/37031233 http://dx.doi.org/10.1038/s41598-023-31587-8 Text en © The Author(s) 2023, corrected publication 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Amrane, Karim
Thuillier, Philippe
Bourhis, David
Le Meur, Coline
Quere, Chloe
Leclere, Jean-Christophe
Ferec, Marc
Jestin-Le Tallec, Veronique
Doucet, Laurent
Alemany, Pierre
Salaun, Pierre-Yves
Metges, Jean-Philippe
Schick, Ulrike
Abgral, Ronan
Prognostic value of pre-therapeutic FDG-PET radiomic analysis in gastro-esophageal junction cancer
title Prognostic value of pre-therapeutic FDG-PET radiomic analysis in gastro-esophageal junction cancer
title_full Prognostic value of pre-therapeutic FDG-PET radiomic analysis in gastro-esophageal junction cancer
title_fullStr Prognostic value of pre-therapeutic FDG-PET radiomic analysis in gastro-esophageal junction cancer
title_full_unstemmed Prognostic value of pre-therapeutic FDG-PET radiomic analysis in gastro-esophageal junction cancer
title_short Prognostic value of pre-therapeutic FDG-PET radiomic analysis in gastro-esophageal junction cancer
title_sort prognostic value of pre-therapeutic fdg-pet radiomic analysis in gastro-esophageal junction cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10082755/
https://www.ncbi.nlm.nih.gov/pubmed/37031233
http://dx.doi.org/10.1038/s41598-023-31587-8
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