Machine learning-based CT radiomics features for the prediction of pulmonary metastasis in osteosarcoma.

Objective: This study aims to build machine learning-based CT radiomic features to predict patients developing metastasis after osteosarcoma diagnosis.

Methods And Materials: This retrospective study has included 81 patients with a histopathological diagnosis of osteosarcoma. The entire dataset was divided randomly into training (60%) and test sets (40%).