Keywords: Muscle, Diagnosis/Prediction, Soft Tissue Sarcoma, IVIM, Tumor Habitat Characteristics, Neoadjuvant Radiotherapy
Motivation: Soft tissue sarcoma (STS) can be treated with neoadjuvant radiotherapy (neo-RT) and targeted therapy. However, neo-RT raises wound complication risks, necessitating early treatment efficacy assessment for better clinical planning.
Goal(s): To evaluate the pathological response in STS patients undergoing neo-RT and targeted therapy using sub-regional Intravoxel Incoherent Motion (IVIM) parameters.
Approach: This prospective study included 21 patients with STS who underwent IVIM imaging. Quantitative IVIM parameters were extracted and analyzed with logistic regression to develop predictive models for treatment response.
Results: The combined IVIM model showed a significantly higher AUC (0.952 [95%CI: 0.761-0.999]) in predicting treatment response compared to all individual parameter models.
Impact: This study demonstrates that IVIM-based models offer a high-accuracy, non-invasive diagnostic approach for early assessment of treatment response in neo-RT and targeted therapy for STS, supporting personalized treatment strategies.
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