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Prognostic role of radiomics‐based body composition analysis for the 1‐year survival for hepatocellular carcinoma patients
BACKGROUND: Parameters of body composition have prognostic potential in patients with oncologic diseases. The aim of the present study was to analyse the prognostic potential of radiomics‐based parameters of the skeletal musculature and adipose tissues in patients with advanced hepatocellular carcin...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10570090/ https://www.ncbi.nlm.nih.gov/pubmed/37592827 http://dx.doi.org/10.1002/jcsm.13315 |
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author | Saalfeld, Sylvia Kreher, Robert Hille, Georg Niemann, Uli Hinnerichs, Mattes Öcal, Osman Schütte, Kerstin Zech, Christoph J. Loewe, Christian van Delden, Otto Vandecaveye, Vincent Verslype, Chris Gebauer, Bernhard Sengel, Christian Bargellini, Irene Iezzi, Roberto Berg, Thomas Klümpen, Heinz J. Benckert, Julia Gasbarrini, Antonio Amthauer, Holger Sangro, Bruno Malfertheiner, Peter Preim, Bernhard Ricke, Jens Seidensticker, Max Pech, Maciej Surov, Alexey |
author_facet | Saalfeld, Sylvia Kreher, Robert Hille, Georg Niemann, Uli Hinnerichs, Mattes Öcal, Osman Schütte, Kerstin Zech, Christoph J. Loewe, Christian van Delden, Otto Vandecaveye, Vincent Verslype, Chris Gebauer, Bernhard Sengel, Christian Bargellini, Irene Iezzi, Roberto Berg, Thomas Klümpen, Heinz J. Benckert, Julia Gasbarrini, Antonio Amthauer, Holger Sangro, Bruno Malfertheiner, Peter Preim, Bernhard Ricke, Jens Seidensticker, Max Pech, Maciej Surov, Alexey |
author_sort | Saalfeld, Sylvia |
collection | PubMed |
description | BACKGROUND: Parameters of body composition have prognostic potential in patients with oncologic diseases. The aim of the present study was to analyse the prognostic potential of radiomics‐based parameters of the skeletal musculature and adipose tissues in patients with advanced hepatocellular carcinoma (HCC). METHODS: Radiomics features were extracted from a cohort of 297 HCC patients as post hoc sub‐study of the SORAMIC randomized controlled trial. Patients were treated with selective internal radiation therapy (SIRT) in combination with sorafenib or with sorafenib alone yielding two groups: (1) sorafenib monotherapy (n = 147) and (2) sorafenib and SIRT (n = 150). The main outcome was 1‐year survival. Segmentation of muscle tissue and adipose tissue was used to retrieve 881 features. Correlation analysis and feature cleansing yielded 292 features for each patient group and each tissue type. We combined 9 feature selection methods with 10 feature set compositions to build 90 feature sets. We used 11 classifiers to build 990 models. We subdivided the patient groups into a train and validation cohort and a test cohort, that is, one third of the patient groups. RESULTS: We used the train and validation set to identify the best feature selection and classification model and applied it to the test set for each patient group. Classification yields for patients who underwent sorafenib monotherapy an accuracy of 75.51% and area under the curve (AUC) of 0.7576 (95% confidence interval [CI]: 0.6376–0.8776). For patients who underwent treatment with SIRT and sorafenib, results are accuracy = 78.00% and AUC = 0.8032 (95% CI: 0.6930–0.9134). CONCLUSIONS: Parameters of radiomics‐based analysis of the skeletal musculature and adipose tissue predict 1‐year survival in patients with advanced HCC. The prognostic value of radiomics‐based parameters was higher in patients who were treated with SIRT and sorafenib. |
format | Online Article Text |
id | pubmed-10570090 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-105700902023-10-14 Prognostic role of radiomics‐based body composition analysis for the 1‐year survival for hepatocellular carcinoma patients Saalfeld, Sylvia Kreher, Robert Hille, Georg Niemann, Uli Hinnerichs, Mattes Öcal, Osman Schütte, Kerstin Zech, Christoph J. Loewe, Christian van Delden, Otto Vandecaveye, Vincent Verslype, Chris Gebauer, Bernhard Sengel, Christian Bargellini, Irene Iezzi, Roberto Berg, Thomas Klümpen, Heinz J. Benckert, Julia Gasbarrini, Antonio Amthauer, Holger Sangro, Bruno Malfertheiner, Peter Preim, Bernhard Ricke, Jens Seidensticker, Max Pech, Maciej Surov, Alexey J Cachexia Sarcopenia Muscle Original Articles BACKGROUND: Parameters of body composition have prognostic potential in patients with oncologic diseases. The aim of the present study was to analyse the prognostic potential of radiomics‐based parameters of the skeletal musculature and adipose tissues in patients with advanced hepatocellular carcinoma (HCC). METHODS: Radiomics features were extracted from a cohort of 297 HCC patients as post hoc sub‐study of the SORAMIC randomized controlled trial. Patients were treated with selective internal radiation therapy (SIRT) in combination with sorafenib or with sorafenib alone yielding two groups: (1) sorafenib monotherapy (n = 147) and (2) sorafenib and SIRT (n = 150). The main outcome was 1‐year survival. Segmentation of muscle tissue and adipose tissue was used to retrieve 881 features. Correlation analysis and feature cleansing yielded 292 features for each patient group and each tissue type. We combined 9 feature selection methods with 10 feature set compositions to build 90 feature sets. We used 11 classifiers to build 990 models. We subdivided the patient groups into a train and validation cohort and a test cohort, that is, one third of the patient groups. RESULTS: We used the train and validation set to identify the best feature selection and classification model and applied it to the test set for each patient group. Classification yields for patients who underwent sorafenib monotherapy an accuracy of 75.51% and area under the curve (AUC) of 0.7576 (95% confidence interval [CI]: 0.6376–0.8776). For patients who underwent treatment with SIRT and sorafenib, results are accuracy = 78.00% and AUC = 0.8032 (95% CI: 0.6930–0.9134). CONCLUSIONS: Parameters of radiomics‐based analysis of the skeletal musculature and adipose tissue predict 1‐year survival in patients with advanced HCC. The prognostic value of radiomics‐based parameters was higher in patients who were treated with SIRT and sorafenib. John Wiley and Sons Inc. 2023-08-17 /pmc/articles/PMC10570090/ /pubmed/37592827 http://dx.doi.org/10.1002/jcsm.13315 Text en © 2023 The Authors. Journal of Cachexia, Sarcopenia and Muscle published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Saalfeld, Sylvia Kreher, Robert Hille, Georg Niemann, Uli Hinnerichs, Mattes Öcal, Osman Schütte, Kerstin Zech, Christoph J. Loewe, Christian van Delden, Otto Vandecaveye, Vincent Verslype, Chris Gebauer, Bernhard Sengel, Christian Bargellini, Irene Iezzi, Roberto Berg, Thomas Klümpen, Heinz J. Benckert, Julia Gasbarrini, Antonio Amthauer, Holger Sangro, Bruno Malfertheiner, Peter Preim, Bernhard Ricke, Jens Seidensticker, Max Pech, Maciej Surov, Alexey Prognostic role of radiomics‐based body composition analysis for the 1‐year survival for hepatocellular carcinoma patients |
title | Prognostic role of radiomics‐based body composition analysis for the 1‐year survival for hepatocellular carcinoma patients |
title_full | Prognostic role of radiomics‐based body composition analysis for the 1‐year survival for hepatocellular carcinoma patients |
title_fullStr | Prognostic role of radiomics‐based body composition analysis for the 1‐year survival for hepatocellular carcinoma patients |
title_full_unstemmed | Prognostic role of radiomics‐based body composition analysis for the 1‐year survival for hepatocellular carcinoma patients |
title_short | Prognostic role of radiomics‐based body composition analysis for the 1‐year survival for hepatocellular carcinoma patients |
title_sort | prognostic role of radiomics‐based body composition analysis for the 1‐year survival for hepatocellular carcinoma patients |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10570090/ https://www.ncbi.nlm.nih.gov/pubmed/37592827 http://dx.doi.org/10.1002/jcsm.13315 |
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