Undifferentiated pleomorphic sarcoma: Building an effective multi-parametric MRI (mpMRI) predictive treatment response model to replace RECIST
Author Block: R. F. Valenzuela, B. Amini, E. Duran-Sierra, J. E. Madewell, M. Canjirathinkal, C. M. Costelloe, W. Murphy; Houston, TX/US
Purpose: Undifferentiated pleomorphic sarcoma (UPS) is the largest soft-tissue sarcoma subgroup. Post-therapeutically, UPS demonstrates hemosiderin deposition, fibrosis, and calcification. This study aimed to establish the clinical value of multiparametric MRI (mpMRI) for predicting UPS response.
Methods or Background: An IRB-approved retrospective study included 33 extremity UPS patients with pre-operative mpMRI, including diffusion-weighted imaging (DWI), contrast-enhanced susceptibility-weighted imaging (CE-SWI), and perfusion-weighted imaging with dynamic contrast-enhancement (PWI/DCE), and surgical resection February 2021-May 2023. Lesions were visually classified on CE-SWI into one of 6 morphology patterns. On PWI/DCE, lesions were classified into one of 6 patterns, and time-intensity curves (TICs) were classified as types I-V. Patients were divided into three groups based on the percentage of pathology-assessed treatment effect (PATE) in the surgical specimen: Responders (>=90% PATE, n=16), partial-responders (31-89% PATE, n=10), and non-responders (<=30% PATE, n=7). Receiver operating characteristic (ROC) analysis of classification models based on CE-SWI and PWI/DCE patterns and TICs compared responders vs. partial/non-responders.
Results or Findings: At post-radiation therapy (PRT), a CE-SWI Complete Ring pattern was observed in 71% of responders (p=7.71x10-6). On PWI/DCE images, 79% of responders displayed a Capsular pattern (p=1.49x10-7), and 100% demonstrated a TIC-type II (p=8.32x10-7).
RECIST could not separate responders from partial/non-responders; all demonstrated 100% stability at PRT and pseudoprogression at PC.
ROC analysis comparing responders (n=14) vs. partial/non-responders (n=16) at PRT showed that the model combining the PWI/DCE TIC-type II, PWI/DCE Capsular pattern and CE-SWI Complete Ring pattern yielded the highest classification performance (AUC=0.99).
Conclusion: mpMRI-derived features can help assess UPS treatment response. Observing a pre-operative PWI/DCE TIC-type II, PWI/DCE Capsular pattern, and CE-SWI Complete Ring pattern can potentially predict successfully treated UPS patients with >=90% PATE, outperforming RECIST.
Limitations: Limitations include a small sample (n=33) and manual, time-consuming tumor VOI segmentation.
Funding for this study: The John S. Dunn, Sr. Distinguished Chair in Diagnostic Imaging.
M.R Evelyn Hudson Foundation Endowed Professorship.
Has your study been approved by an ethics committee? Not applicable
Ethics committee - additional information: Not applicable