Exploration of Fully-Automated Body Composition Analysis Using Routine CT-Staging of Lung Cancer Patients for Survival Prognosis.
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| Title: | Exploration of Fully-Automated Body Composition Analysis Using Routine CT-Staging of Lung Cancer Patients for Survival Prognosis. |
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| Authors: | Künnemann MD; Clinic for Radiology, University of Münster and University Hospital Münster, Münster, Germany., Römer C; Clinic for Radiology, University of Münster and University Hospital Münster, Münster, Germany., Helfen A; Clinic for Radiology, University of Münster and University Hospital Münster, Münster, Germany., Bleckmann A; West German Cancer Center (WTZ), University Hospital Münster, Münster, Germany.; Department of Medicine A, Hematology, Oncology, and Pneumology, University Hospital Münster, Münster, Germany., Kemper M; West German Cancer Center (WTZ), University Hospital Münster, Münster, Germany.; Department of Medicine A, Hematology, Oncology, and Pneumology, University Hospital Münster, Münster, Germany., Heindel W; Clinic for Radiology, University of Münster and University Hospital Münster, Münster, Germany., Brix TJ; Institute of Medical Informatics, University of Münster, Münster, Germany., Forsting M; Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany., Haubold J; 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., Opitz M; 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., Schuler M; West German Cancer Center (WTZ), Department of Medical Oncology, University Hospital Essen, Essen, Germany.; National Center for Tumor Diseases (NCT), NCT West, a Partnership of DKFZ, University of Duisburg-Essen and University Hospital Essen, University of Köln and University Hospital Köln, Essen, Germany., Nensa F; 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., 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. |
| Source: | Journal of cachexia, sarcopenia and muscle [J Cachexia Sarcopenia Muscle] 2025 Aug; Vol. 16 (4), pp. e70021. |
| Publication Type: | Journal Article; Multicenter Study |
| 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.70021 |
