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001 and = 0.015, respectively). The radiomics nomogram achieved good discriminant results in the training cohort ( -index 0.779) and the validation cohort ( -index 0.71 as well as good calibration. Decision curve analysis revealed that the proposed model significantly improved the clinical benefit compared with the clinical-based nomogram ( 0.001). This multicenter study demonstrates that a radiomics nomogram incorporated the radiomics signature and clinical-based risk factors can increase the predictive value of the osteosarcoma
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