ProjectMelanom – Ein Ganzkörper Radiomics Ansatz zur Outcome-Vorhersage in Patienten mit metastasiertem Melanom unter…

Basic data

Acronym:
Melanom
Title:
Ein Ganzkörper Radiomics Ansatz zur Outcome-Vorhersage in Patienten mit metastasiertem Melanom unter Systemtherapie
Duration:
01/01/2020 to 01/01/2023
Abstract / short description:
In the past decade, the introduction of new targeted and immunotherapy for metastatic melanoma led to a remarkable increase of patient outcome. However, treatment failure / resistance is observed in a remarkable proportion of these patients. Furthermore, immune-related adverse treatment effects occur frequently, often leading to treatment cessation.
Aim: In this project, we aim to identify quantitative radiomic tumor and extratumoral biomarkers for prediction of treatment response, patient survival and occurrence of adverse treatment effects in patients undergoing systemic state-of-the-art immunotherapy and targeted therapy for metastatic melanoma.
Method: A large patient cohort (n=572) has been prospectively maintained in our clinical melanoma registry. Demographic as well as baseline and follow-up clinical parameters of these patients are recorded. All patients underwent a prospectively standardized whole body CT staging at baseline as well as follow-up, additionally a subgroup (n=191) underwent PET/CT imaging using a prospectively standardized protocol. In all patients, radiomic properties of melanoma metastases and body composition will be extracted and assessed for their predictive capacity of treatment response, patient survival and adverse treatment effects. Finally, a statistical and a deep-learning approach will be applied to identify independent imaging biomarkers and assess their incremental predictive capacity to established clinical biomarkers.
Keywords:
melanoma
Melanom
radiomics
Radiomics
Therapieansprechen
AI

Involved staff

Managers

Faculty of Medicine
University of Tübingen

Contact persons

Faculty of Medicine
University of Tübingen
Faculty of Medicine
University of Tübingen
Cluster of Excellence: Image-Guided and Functionally Instructed Tumor Therapies (iFIT)
Centers or interfaculty scientific institutions

Other staff

Faculty of Medicine
University of Tübingen

Local organizational units

Department of Diagnostic and Interventional Radiology
Department of Radiology
Hospitals and clinical institutes, Faculty of Medicine

Funders

Bonn, Nordrhein-Westfalen, Germany
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