Why the study?
Does a pre-surgical multiparametric-MRI-based model outperform RECIST in predicting treatment response in undifferentiated pleomorphic sarcoma?
Does a pre-surgical multiparametric-MRI-based model outperform RECIST in predicting treatment response in undifferentiated pleomorphic sarcoma?
A novel multiparametric-MRI-based model outperforms RECIST in predicting treatment response for undifferentiated pleomorphic sarcoma.
This is the authors' abstract. We don't add key points for this paper.
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.
Mp-MRI model may aid UPS response prediction over RECIST; leaves open prospective validation before clinical adoption.
No takes yet. Share an insight, caveat, or question.
Valenzuela et al. (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: