Prognostic Assessment in High-Grade Soft-Tissue Sarcoma Patients: A Comparison of Semantic Image Analysis and Radiomics

Prognostic Assessment in High-Grade Soft-Tissue Sarcoma Patients: A Comparison of Semantic Image Analysis and Radiomics

Background: In patients with soft-tissue sarcomas of the extremities, the treatment decision is currently regularly based on tumor grading and size. The imaging-based analysis may pose an alternative way to stratify patients’ risk. In this work, we compared the value of MRI-based radiomics with expe...

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Bibliographic Details
Main Authors: Jan C. Peeken, Jan Neumann, Rebecca Asadpour, Yannik Leonhardt, Joao R. Moreira, Daniel S. Hippe, Olena Klymenko, Sarah C. Foreman, Claudio E. von Schacky, Matthew B. Spraker, Stephanie K. Schaub, Hendrik Dapper, Carolin Knebel, Nina A. Mayr, Henry C. Woodruff, Philippe Lambin, Matthew J. Nyflot, Alexandra S. Gersing, Stephanie E. Combs
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Cancers
Subjects:
radiomics
machine learning
soft-tissue sarcomas
radiology
MRI
tail sign
Online Access:https://www.mdpi.com/2072-6694/13/8/1929

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https://www.mdpi.com/2072-6694/13/8/1929

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