{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,7]],"date-time":"2026-09-07T17:31:45Z","timestamp":1788802305788,"version":"build-2803163510"},"reference-count":38,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2022,12,21]],"date-time":"2022-12-21T00:00:00Z","timestamp":1671580800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J cachexia sarcopenia muscle"],"published-print":{"date-parts":[[2023,2]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Personalized therapy planning remains a significant challenge in advanced colorectal cancer care, despite extensive research on prognostic and predictive markers. A strong correlation of sarcopenia or overall body composition and survival has been described. Here, we explore whether automated assessment of body composition and liver metastases from standard of care CT images can add to clinical parameters in personalized survival risk prognostication.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>We retrospectively analysed clinical imaging data from 85 patients (50.6% female, mean age 58.9 SD 12.2\u00a0years) with colorectal cancer and synchronous liver metastases. Pretrained deep learning models were used to assess body composition and liver metastasis geometry from abdominal CT images before the initiation of systemic treatment. Abdominal muscle\u2010to\u2010bone ratio (MBR) was calculated by dividing abdominal muscle volume by abdominal bone volume. MBR was compared with body mass index (BMI), abdominal muscle volume, and abdominal muscle volume divided by height squared. Differences in overall survival based on body composition and liver metastasis parameters were compared using Kaplan\u2013Meier survival curves. Results were correlated with clinical and biomarker data to develop a machine learning model for survival risk prognostication.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The MBR, unlike abdominal muscle volume or BMI, was significantly associated with overall survival (HR 0.39, 95% CI: 0.19\u20130.80, <jats:italic>P<\/jats:italic>\u00a0=\u00a00.009). The MBR (<jats:italic>P<\/jats:italic>\u00a0=\u00a00.022), liver metastasis surface area (<jats:italic>P<\/jats:italic>\u00a0=\u00a00.01) and primary tumour sidedness (<jats:italic>P<\/jats:italic>\u00a0=\u00a00.007) were independently associated with overall survival in multivariate analysis. Body composition parameters did not correlate with <jats:italic>KRAS<\/jats:italic> mutational status or primary tumour sidedness. A prediction model based on MBR, liver metastasis surface area and primary tumour sidedness achieved a concordance index of 0.69.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Automated segmentation enables to extract prognostic parameters from routine imaging data for personalized survival modelling in advanced colorectal cancer patients.<\/jats:p><\/jats:sec>","DOI":"10.1002\/jcsm.13158","type":"journal-article","created":{"date-parts":[[2022,12,22]],"date-time":"2022-12-22T05:20:23Z","timestamp":1671686423000},"page":"545-552","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":48,"title":["Deep learning\u2010based assessment of body composition and liver tumour burden for survival modelling in advanced colorectal cancer"],"prefix":"10.1002","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5617-091X","authenticated-orcid":false,"given":"Julius","family":"Keyl","sequence":"first","affiliation":[{"name":"Department of Medical Oncology, West German Cancer Center University Hospital Essen (A\u00f6R)  Essen Germany"},{"name":"Institute for Artificial Intelligence in Medicine University Hospital Essen (A\u00f6R)  Essen Germany"},{"name":"German Cancer Consortium (DKTK) Partner site University Hospital Essen (A\u00f6R)  Essen Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ren\u00e9","family":"Hosch","sequence":"additional","affiliation":[{"name":"Institute for Artificial Intelligence in Medicine University Hospital Essen (A\u00f6R)  Essen Germany"},{"name":"Department of Diagnostic and Interventional Radiology and Neuroradiology University Hospital Essen (A\u00f6R)  Essen Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aaron","family":"Berger","sequence":"additional","affiliation":[{"name":"Institute for Artificial Intelligence in Medicine University Hospital Essen (A\u00f6R)  Essen Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Oliver","family":"Ester","sequence":"additional","affiliation":[{"name":"Institute for Artificial Intelligence in Medicine University Hospital Essen (A\u00f6R)  Essen Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tobias","family":"Greiner","sequence":"additional","affiliation":[{"name":"Medical Faculty University of Duisburg\u2010Essen  Essen Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Simon","family":"Bogner","sequence":"additional","affiliation":[{"name":"Department of Medical Oncology, West German Cancer Center University Hospital Essen (A\u00f6R)  Essen Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"J\u00fcrgen","family":"Treckmann","sequence":"additional","affiliation":[{"name":"Department of General, Visceral and Transplant Surgery, West German Cancer Center University Hospital Essen (A\u00f6R)  Essen Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Saskia","family":"Ting","sequence":"additional","affiliation":[{"name":"Institute of Pathology Essen West German Cancer Center, University Hospital Essen (A\u00f6R)  Essen Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Brigitte","family":"Schumacher","sequence":"additional","affiliation":[{"name":"Department of Gastroenterology Elisabeth Hospital Essen  Essen Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David","family":"Albers","sequence":"additional","affiliation":[{"name":"Department of Gastroenterology Elisabeth Hospital Essen  Essen Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peter","family":"Markus","sequence":"additional","affiliation":[{"name":"Department of General Surgery and Traumatology Elisabeth Hospital Essen  Essen Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marcel","family":"Wiesweg","sequence":"additional","affiliation":[{"name":"Department of Medical Oncology, West German Cancer Center University Hospital Essen (A\u00f6R)  Essen Germany"},{"name":"Medical Faculty University of Duisburg\u2010Essen  Essen Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael","family":"Forsting","sequence":"additional","affiliation":[{"name":"Department of Diagnostic and Interventional Radiology and Neuroradiology University Hospital Essen (A\u00f6R)  Essen Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Felix","family":"Nensa","sequence":"additional","affiliation":[{"name":"Institute for Artificial Intelligence in Medicine University Hospital Essen (A\u00f6R)  Essen Germany"},{"name":"Department of Diagnostic and Interventional Radiology and Neuroradiology University Hospital Essen (A\u00f6R)  Essen Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Martin","family":"Schuler","sequence":"additional","affiliation":[{"name":"Department of Medical Oncology, West German Cancer Center University Hospital Essen (A\u00f6R)  Essen Germany"},{"name":"German Cancer Consortium (DKTK) Partner site University Hospital Essen (A\u00f6R)  Essen Germany"},{"name":"Medical Faculty University of Duisburg\u2010Essen  Essen Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stefan","family":"Kasper","sequence":"additional","affiliation":[{"name":"Department of Medical Oncology, West German Cancer Center University Hospital Essen (A\u00f6R)  Essen Germany"},{"name":"German Cancer Consortium (DKTK) Partner site University Hospital Essen (A\u00f6R)  Essen Germany"},{"name":"Medical Faculty University of Duisburg\u2010Essen  Essen Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jens","family":"Kleesiek","sequence":"additional","affiliation":[{"name":"Institute for Artificial Intelligence in Medicine University Hospital Essen (A\u00f6R)  Essen Germany"},{"name":"Medical Faculty University of Duisburg\u2010Essen  Essen Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2022,12,21]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.3322\/caac.21708"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10585-015-9719-0"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2407-14-810"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.1002\/bjs.7823"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.clnesp.2019.04.004"},{"key":"e_1_2_8_7_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12885-019-5319-8"},{"key":"e_1_2_8_8_1","doi-asserted-by":"publisher","DOI":"10.1080\/0284186X.2020.1744716"},{"key":"e_1_2_8_9_1","doi-asserted-by":"publisher","DOI":"10.1200\/JCO.2012.45.2722"},{"key":"e_1_2_8_10_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0139749"},{"key":"e_1_2_8_11_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41592-020-01008-z"},{"key":"e_1_2_8_12_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-020-07147-3"},{"key":"e_1_2_8_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-020-07192-y"},{"key":"e_1_2_8_14_1","doi-asserted-by":"publisher","DOI":"10.1245\/s10434-012-2356-9"},{"key":"e_1_2_8_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejrad.2017.04.019"},{"key":"e_1_2_8_16_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00261-015-0438-4"},{"key":"e_1_2_8_17_1","doi-asserted-by":"publisher","DOI":"10.1158\/0008-5472.CAN-17-0339"},{"key":"e_1_2_8_18_1","first-page":"1","article-title":"scikit\u2010survival: A Library for Time\u2010to\u2010Event Analysis Built on Top of scikit\u2010learn","volume":"21","author":"P\u00f6lsterl S","year":"2020","journal-title":"J Mach Learn Res"},{"key":"e_1_2_8_19_1","unstructured":"Davidson\u2010PilonC.lifelines survival analysis in Python 2021."},{"key":"e_1_2_8_20_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41592-019-0686-2"},{"key":"e_1_2_8_21_1","doi-asserted-by":"publisher","DOI":"10.1093\/biostatistics\/kxj011"},{"key":"e_1_2_8_22_1","volume-title":"Advances in Neural Information Processing Systems","author":"Lundberg SM","year":"2017"},{"key":"e_1_2_8_23_1","article-title":"Prognostic and Predictive Role of Body Mass Index (BMI) in Metastatic Colorectal Cancer (mCRC): A Pooled Analisys of Tribe and Tribe\u20102 Studies by GONO","volume":"0","author":"Dell'Aquila E","year":"2022","journal-title":"Clin Colorectal Cancer"},{"key":"e_1_2_8_24_1","doi-asserted-by":"publisher","DOI":"10.1200\/JCO.2015.61.6441"},{"key":"e_1_2_8_25_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejca.2011.06.038"},{"key":"e_1_2_8_26_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(14)60892-8"},{"key":"e_1_2_8_27_1","doi-asserted-by":"publisher","DOI":"10.1158\/1055-9965.EPI-17-0200"},{"key":"e_1_2_8_28_1","doi-asserted-by":"publisher","DOI":"10.1002\/onco.13774"},{"key":"e_1_2_8_29_1","doi-asserted-by":"publisher","DOI":"10.1136\/gutjnl-2018-316407"},{"key":"e_1_2_8_30_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejrad.2018.02.031"},{"key":"e_1_2_8_31_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.radonc.2018.10.027"},{"key":"e_1_2_8_32_1","doi-asserted-by":"publisher","DOI":"10.18383\/j.tom.2016.00208"},{"key":"e_1_2_8_33_1","doi-asserted-by":"publisher","DOI":"10.1002\/jso.24678"},{"key":"e_1_2_8_34_1","doi-asserted-by":"publisher","DOI":"10.1097\/CAD.0000000000000041"},{"key":"e_1_2_8_35_1","doi-asserted-by":"publisher","DOI":"10.1155\/2019\/4315032"},{"key":"e_1_2_8_36_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1440-1746.2007.04923.x"},{"key":"e_1_2_8_37_1","doi-asserted-by":"publisher","DOI":"10.1093\/jnci\/djx253"},{"key":"e_1_2_8_38_1","first-page":"5037","article-title":"Significance of Markers of Systemic Inflammation for Predicting Survival and Chemotherapeutic Outcomes and Monitoring Tumor Progression in Patients with Unresectable Metastatic Colorectal Cancer","volume":"35","author":"Shibutani M","year":"2015","journal-title":"Anticancer Res"},{"key":"e_1_2_8_39_1","doi-asserted-by":"publisher","DOI":"10.1002\/jcsm.12899"}],"container-title":["Journal of Cachexia, Sarcopenia and Muscle"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/jcsm.13158","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/full-xml\/10.1002\/jcsm.13158","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/jcsm.13158","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,19]],"date-time":"2023-08-19T12:58:15Z","timestamp":1692449895000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/jcsm.13158"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,21]]},"references-count":38,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2023,2]]}},"alternative-id":["10.1002\/jcsm.13158"],"URL":"https:\/\/doi.org\/10.1002\/jcsm.13158","archive":["Portico"],"relation":{},"ISSN":["2190-5991","2190-6009"],"issn-type":[{"value":"2190-5991","type":"print"},{"value":"2190-6009","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,12,21]]},"assertion":[{"value":"2022-08-16","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2022-11-25","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2022-12-21","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}