Building a pre-surgical multiparametric-MRI-based morphologic, qualitative, semiquantitative, first and high-order radiomic predictive treatment response model for undifferentiated pleomorphic sarcoma to replace RECIST

Mp-MRI-derived features are valuable in assessing UPS treatment response. A pre-operative model that combines PWI/DCE TIC-type II, PWI/DCE Capsular pattern, and CE-SWI Complete Ring pattern can reliably predict successfully treated UPS with > = 90% PATE, outperforming RECIST, which was proven unreliable in separating responders from partial/non-responders. Institutions that have not yet implemented CE-SWI can rely on a single-sequence approach based on PWI/DCE, combining the presence of TIC II and Capsular enhancement as criteria for response prediction.

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Publication Details

Journal
Cancer Imaging
Published
2025-04-26
DOI
https://doi.org/10.1186/s40644-025-00873-1
Citations
4
Primary Topic
Sarcoma Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
6.07
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article

Building a pre-surgical multiparametric-MRI-based morphologic, qualitative, semiquantitative, first and high-order radiomic predictive treatment response model for undifferentiated pleomorphic sarcoma to replace RECIST

Andrew Justin Bishop, Ravin Ratan, Ken‐Pin Hwang, Chengyue Wu et al.
4 citations
Cancer Imaging
Sarcoma Diagnosis and Treatment
6.07
article

Building a pre-surgical multiparametric-MRI-based morphologic, qualitative, semiquantitative, first and high-order radiomic predictive treatment response model for undifferentiated pleomorphic sarcoma to replace RECIST

Andrew Justin Bishop, Ravin Ratan, Ken‐Pin Hwang, Chengyue Wu, Dejka M. Araujo, R. Jason Stafford, John E. Madewell, Mathew Antony, Elvis Duran-Sierra, J. Espinoza, Robert S. Benjamin, Simon S. Lo, Keila E. Torres, Behrang Amini, Wei‐Lien Wang, William A. Murphy, Jingfei Ma, Pía V. Valenzuela, Raul F. Valenzuela, Colleen M. Costelloe
article en
4 citations

Abstract

Mp-MRI-derived features are valuable in assessing UPS treatment response. A pre-operative model that combines PWI/DCE TIC-type II, PWI/DCE Capsular pattern, and CE-SWI Complete Ring pattern can reliably predict successfully treated UPS with > = 90% PATE, outperforming RECIST, which was proven unreliable in separating responders from partial/non-responders. Institutions that have not yet implemented CE-SWI can rely on a single-sequence approach based on PWI/DCE, combining the presence of TIC II and Capsular enhancement as criteria for response prediction.

Cancer ImagingVol. 25(1)
The University of Texas MD Anderson Cancer Center (US), Texas A&M University (US)
Good health and well-being
Openalex Percentile: Top 4%
Sarcoma Diagnosis and Treatment
6.07
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