Combination of Whole-Body Baseline CT Radiomics and Clinical Parameters to Predict Response and Survival in a Stage-IV Melanoma Cohort Undergoing Immunotherapy

Combination of Whole-Body Baseline CT Radiomics and Clinical Parameters to Predict Response and Survival in a Stage-IV Melanoma Cohort Undergoing Immunotherapy

Background: This study investigated whether a machine-learning-based combination of radiomics and clinical parameters was superior to the use of clinical parameters alone in predicting therapy response after three months, and overall survival after six and twelve months, in stage-IV malignant melano...

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Bibliographic Details
Main Authors: Felix Peisen, Annika Hänsch, Alessa Hering, Andreas S. Brendlin, Saif Afat, Konstantin Nikolaou, Sergios Gatidis, Thomas Eigentler, Teresa Amaral, Jan H. Moltz, Ahmed E. Othman
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Cancers
Subjects:
melanoma
prognostic biomarkers
imaging biomarkers
biomarkers for immunotherapy
checkpoint blockade
artificial intelligence and machine-learning
Online Access:https://www.mdpi.com/2072-6694/14/12/2992

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