Deep Learning-Based Body Composition Analysis Predicts Outcome in Melanoma Patients Treated with Immune Checkpoint Inhibitors

Deep Learning-Based Body Composition Analysis Predicts Outcome in Melanoma Patients Treated with Immune Checkpoint Inhibitors

Previous studies suggest an impact of body composition on outcome in melanoma patients. We aimed to determine the prognostic value of CT-based body composition assessment in patients receiving immune checkpoint inhibitor therapy for treatment of metastatic disease using a deep learning approach. One...

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Bibliographic Details
Main Authors: Anton Faron, Nikola S. Opheys, Sebastian Nowak, Alois M. Sprinkart, Alexander Isaak, Maike Theis, Narine Mesropyan, Christoph Endler, Judith Sirokay, Claus C. Pieper, Daniel Kuetting, Ulrike Attenberger, Jennifer Landsberg, Julian A. Luetkens
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Diagnostics
Subjects:
oncologic imaging
CT
imaging biomarkers
sarcopenia
artificial intelligence
Online Access:https://www.mdpi.com/2075-4418/11/12/2314

Internet

https://www.mdpi.com/2075-4418/11/12/2314

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