Tumor grading of soft tissue sarcomas using MRI-based radiomics

2019119 citationsJournal Articlegold Open Access

Authors

Jan C. Peeken · TUM Klinikum

Matthew B. Spraker · University of Washington

Carolin Knebel · TUM Klinikum

Hendrik Dapper · TUM Klinikum

Daniela Pfeiffer · TUM Klinikum

Michal Devečka · TUM Klinikum

Ahmed Thamer · TUM Klinikum

Abstract

MRI-based radiomics tumor grading models effectively classify low-grade and high-grade soft tissue sarcomas. FUND: The authors received support by the medical faculty of the Technical University of Munich and the German Cancer Consortium.

Topics & Keywords

Radiomics and Machine Learning in Medical Imaging Sarcoma Diagnosis and Treatment Advanced X-ray and CT Imaging

UN Sustainable Development Goals

Good health and well-being

Publication Details

Published in: EBioMedicine

Volume 48, pp. 332-340

DOI: 10.1016/j.ebiom.2019.08.059

Field-Weighted Citation Impact: 10.13