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Congress: ECR25
Poster Number: C-28508
Type: Poster: EPOS Radiologist (scientific)
DOI: 10.26044/ecr2025/C-28508
Authorblock: S. Lo, R. F. Valenzuela, E. Duran-Sierra, M. Antony, B. Amini, J. E. Madewell, W. Murphy, J. Espinoza, C. M. Costelloe; Houston, TX/US
Disclosures:
Sam Lo: Nothing to disclose
Raul Fernando Valenzuela: Nothing to disclose
Elvis Duran-Sierra: Nothing to disclose
Mathew Antony: Nothing to disclose
Behrang Amini: Nothing to disclose
John Edward Madewell: Nothing to disclose
William Murphy: Nothing to disclose
Jossue Espinoza: Nothing to disclose
Colleen M Costelloe: Nothing to disclose
Keywords: Computer applications, Musculoskeletal soft tissue, Oncology, MR, MR-Diffusion/Perfusion, Imaging sequences, Radiation therapy / Oncology, Cancer
Purpose

Rhabdomyosarcoma (RMS) is an aggressive and the most common soft-tissue sarcoma in children. It is classified as embryonal, alveolar, pleomorphic, and NOS. RMS demonstrates post-therapeutic hemosiderin deposition, granulation tissue formation, fibrosis, and calcification. We aim to establish RMS's imaging signature and a model to predict response using multiparametric MRI (Mp-MRI).

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