Keywords: Diagnosis/Prediction, Skeletal
Motivation: Increasing the identification accuracy of patients with high risk of progression could help guide treatment decision in soft tissue sarcoma (STS).
Goal(s): To establish a radiomics nomogram that incorporated tumor habitat and peritumor features and validate its performance to predict tumor progression in patients with STS.
Approach: A nomogram combining radiomics based on intratumoral habitat and peritumorwith clinical information was established.
Results: This nomogram predicts tumor progression in STS patients and stratifies them according to the risk of progression.
Impact: Combining radiomics features derived from the intratumoral habitat and peritumoral region resulted in superior performance for predicting progression-free-survival in patients with STS, which is helpful for clinical decision making.
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