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A FDG-PET radiomics signature detects esophageal squamous cell carcinoma patients who do not benefit from chemoradiation
Detection of patients with esophageal squamous cell carcinoma (ESCC) who do not benefit from standard chemoradiation (CRT) is an important medical need. Radiomics using 18-fluorodeoxyglucose (FDG) positron emission tomography (PET) is a promising approach. In this retrospective study of 184 patients...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7573602/ https://www.ncbi.nlm.nih.gov/pubmed/33077841 http://dx.doi.org/10.1038/s41598-020-74701-w |
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author | Li, Yimin Beck, Marcus Päßler, Tom Lili, Chen Hua, Wu Mai, Ha Dong Amthauer, Holger Biebl, Matthias Thuss-Patience, Peter C. Berger, Jasmin Stromberger, Carmen Tinhofer, Ingeborg Kruppa, Jochen Budach, Volker Hofheinz, Frank Lin, Qin Zschaeck, Sebastian |
author_facet | Li, Yimin Beck, Marcus Päßler, Tom Lili, Chen Hua, Wu Mai, Ha Dong Amthauer, Holger Biebl, Matthias Thuss-Patience, Peter C. Berger, Jasmin Stromberger, Carmen Tinhofer, Ingeborg Kruppa, Jochen Budach, Volker Hofheinz, Frank Lin, Qin Zschaeck, Sebastian |
author_sort | Li, Yimin |
collection | PubMed |
description | Detection of patients with esophageal squamous cell carcinoma (ESCC) who do not benefit from standard chemoradiation (CRT) is an important medical need. Radiomics using 18-fluorodeoxyglucose (FDG) positron emission tomography (PET) is a promising approach. In this retrospective study of 184 patients with locally advanced ESCC. 152 patients from one center were grouped into a training cohort (n = 100) and an internal validation cohort (n = 52). External validation was performed with 32 patients treated at a second center. Primary endpoint was disease-free survival (DFS), secondary endpoints were overall survival (OS) and local control (LC). FDG-PET radiomics features were selected by Lasso-Cox regression analyses and a separate radiomics signature was calculated for each endpoint. In the training cohort radiomics signatures containing up to four PET derived features were able to identify non-responders in regard of all endpoints (DFS p < 0.001, LC p = 0.003, OS p = 0.001). After successful internal validation of the cutoff values generated by the training cohort for DFS (p = 0.025) and OS (p = 0.002), external validation using these cutoffs was successful for DFS (p = 0.002) but not for the other investigated endpoints. These results suggest that pre-treatment FDG-PET features may be useful to detect patients who do not respond to CRT and could benefit from alternative treatment. |
format | Online Article Text |
id | pubmed-7573602 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-75736022020-10-21 A FDG-PET radiomics signature detects esophageal squamous cell carcinoma patients who do not benefit from chemoradiation Li, Yimin Beck, Marcus Päßler, Tom Lili, Chen Hua, Wu Mai, Ha Dong Amthauer, Holger Biebl, Matthias Thuss-Patience, Peter C. Berger, Jasmin Stromberger, Carmen Tinhofer, Ingeborg Kruppa, Jochen Budach, Volker Hofheinz, Frank Lin, Qin Zschaeck, Sebastian Sci Rep Article Detection of patients with esophageal squamous cell carcinoma (ESCC) who do not benefit from standard chemoradiation (CRT) is an important medical need. Radiomics using 18-fluorodeoxyglucose (FDG) positron emission tomography (PET) is a promising approach. In this retrospective study of 184 patients with locally advanced ESCC. 152 patients from one center were grouped into a training cohort (n = 100) and an internal validation cohort (n = 52). External validation was performed with 32 patients treated at a second center. Primary endpoint was disease-free survival (DFS), secondary endpoints were overall survival (OS) and local control (LC). FDG-PET radiomics features were selected by Lasso-Cox regression analyses and a separate radiomics signature was calculated for each endpoint. In the training cohort radiomics signatures containing up to four PET derived features were able to identify non-responders in regard of all endpoints (DFS p < 0.001, LC p = 0.003, OS p = 0.001). After successful internal validation of the cutoff values generated by the training cohort for DFS (p = 0.025) and OS (p = 0.002), external validation using these cutoffs was successful for DFS (p = 0.002) but not for the other investigated endpoints. These results suggest that pre-treatment FDG-PET features may be useful to detect patients who do not respond to CRT and could benefit from alternative treatment. Nature Publishing Group UK 2020-10-19 /pmc/articles/PMC7573602/ /pubmed/33077841 http://dx.doi.org/10.1038/s41598-020-74701-w Text en © The Author(s) 2020 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/. |
spellingShingle | Article Li, Yimin Beck, Marcus Päßler, Tom Lili, Chen Hua, Wu Mai, Ha Dong Amthauer, Holger Biebl, Matthias Thuss-Patience, Peter C. Berger, Jasmin Stromberger, Carmen Tinhofer, Ingeborg Kruppa, Jochen Budach, Volker Hofheinz, Frank Lin, Qin Zschaeck, Sebastian A FDG-PET radiomics signature detects esophageal squamous cell carcinoma patients who do not benefit from chemoradiation |
title | A FDG-PET radiomics signature detects esophageal squamous cell carcinoma patients who do not benefit from chemoradiation |
title_full | A FDG-PET radiomics signature detects esophageal squamous cell carcinoma patients who do not benefit from chemoradiation |
title_fullStr | A FDG-PET radiomics signature detects esophageal squamous cell carcinoma patients who do not benefit from chemoradiation |
title_full_unstemmed | A FDG-PET radiomics signature detects esophageal squamous cell carcinoma patients who do not benefit from chemoradiation |
title_short | A FDG-PET radiomics signature detects esophageal squamous cell carcinoma patients who do not benefit from chemoradiation |
title_sort | fdg-pet radiomics signature detects esophageal squamous cell carcinoma patients who do not benefit from chemoradiation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7573602/ https://www.ncbi.nlm.nih.gov/pubmed/33077841 http://dx.doi.org/10.1038/s41598-020-74701-w |
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