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Prediction of Overall Survival in Patients With Oesophageal Cancer Using AI-Based 3D CT Body Composition Analysis.

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Title: Prediction of Overall Survival in Patients With Oesophageal Cancer Using AI-Based 3D CT Body Composition Analysis.
Authors: Römer C; Clinic for Radiology, University Hospital Münster and University of Münster, Münster, Germany., Hölzen J; Department of General, Visceral and Transplant Surgery, University Hospital Münster and University of Münster, Münster, Germany., Pascher A; Department of General, Visceral and Transplant Surgery, University Hospital Münster and University of Münster, Münster, Germany., Heindel W; Clinic for Radiology, University Hospital Münster and University of Münster, Münster, Germany., Künnemann MD; Clinic for Radiology, University Hospital Münster and University of Münster, Münster, Germany., Hosch R; Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.; Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen, Essen, Germany., Borys K; Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.; Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen, Essen, Germany., Pöhler GH; Clinic for Radiology, University Hospital Münster and University of Münster, Münster, Germany.
Source: Journal of cachexia, sarcopenia and muscle [J Cachexia Sarcopenia Muscle] 2026 Aug; Vol. 17 (4), pp. e70363.
Publication Type: Journal Article
Journal Info: Publisher: John Wiley & Sons Ltd on behalf of Society on Sarcopenia, Cachexia and Wasting Disorders Country of Publication: Germany NLM ID: 101552883 Publication Model: Print Cited Medium: Internet ISSN: 2190-6009 (Electronic) Linking ISSN: 21905991 NLM ISO Abbreviation: J Cachexia Sarcopenia Muscle Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Römer+C%22">Römer C</searchLink>; Clinic for Radiology, University Hospital Münster and University of Münster, Münster, Germany.<br /><searchLink fieldCode="AU" term="%22Hölzen+J%22">Hölzen J</searchLink>; Department of General, Visceral and Transplant Surgery, University Hospital Münster and University of Münster, Münster, Germany.<br /><searchLink fieldCode="AU" term="%22Pascher+A%22">Pascher A</searchLink>; Department of General, Visceral and Transplant Surgery, University Hospital Münster and University of Münster, Münster, Germany.<br /><searchLink fieldCode="AU" term="%22Heindel+W%22">Heindel W</searchLink>; Clinic for Radiology, University Hospital Münster and University of Münster, Münster, Germany.<br /><searchLink fieldCode="AU" term="%22Künnemann+MD%22">Künnemann MD</searchLink>; Clinic for Radiology, University Hospital Münster and University of Münster, Münster, Germany.<br /><searchLink fieldCode="AU" term="%22Hosch+R%22">Hosch R</searchLink>; Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.; Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen, Essen, Germany.<br /><searchLink fieldCode="AU" term="%22Borys+K%22">Borys K</searchLink>; Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.; Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen, Essen, Germany.<br /><searchLink fieldCode="AU" term="%22Pöhler+GH%22">Pöhler GH</searchLink>; Clinic for Radiology, University Hospital Münster and University of Münster, Münster, Germany.
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        Value: 10.1002/jcsm.70363
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        Text: English
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            – D: 01
              M: 08
              Text: 2026 Aug
              Type: published
              Y: 2026
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