Multimodale computationele data-analyse voor voorspelling van respons op systemische therapie bij mCRC

Novel therapies like immunotherapy (ICI) and targeted therapy (TT) have significantly improved survival in metastatic melanoma, but treatment failure and/or development of treatment resistance pose major challenges. Radiomics has been shown to be a valuable tool for imaging-based and/or metadata-based (clinomics), non-invasive data analysis to predict therapy response in oncologic patients. This study aims to evaluate the predictive performance of clinical, radiomics, radio-clinomics, and combined radio-clinomics + body composition analysis (BCA) features for treatment response in metastatic melanoma patients undergoing ICI or TT.