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. |
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| 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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| ISSN: | 2190-6009 |
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| DOI: | 10.1002/jcsm.70363 |
