Development and Evaluation of MR-Based Radiogenomic Models to Differentiate Atypical Lipomatous Tumors from Lipomas

Development and Evaluation of MR-Based Radiogenomic Models to Differentiate Atypical Lipomatous Tumors from Lipomas

Background: The aim of this study was to develop and validate radiogenomic models to predict the MDM2 gene amplification status and differentiate between ALTs and lipomas on preoperative MR images. Methods: MR images were obtained in 257 patients diagnosed with ALTs (<i>n</i> = 65) or li...

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Main Authors: Sarah C. Foreman, Oscar Llorián-Salvador, Diana E. David, Verena K. N. Rösner, Jon F. Rischewski, Georg C. Feuerriegel, Daniel W. Kramp, Ina Luiken, Ann-Kathrin Lohse, Jurij Kiefer, Carolin Mogler, Carolin Knebel, Matthias Jung, Miguel A. Andrade-Navarro, Burkhard Rost, Stephanie E. Combs, Marcus R. Makowski, Klaus Woertler, Jan C. Peeken, Alexandra S. Gersing
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Cancers
Subjects:
radiomics
machine learning
soft-tissue sarcomas
radiology
MRI
Online Access:https://www.mdpi.com/2072-6694/15/7/2150

Internet

https://www.mdpi.com/2072-6694/15/7/2150

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