Abstract #0012

A nomogram combining T2WI-based radiomics features and clinical variables for prediction of neoadjuvant chemotherapy response in osteosarcoma

Chengxiu Zhang¹, Jingyu Zhong², Yangfan Hu³, Jing Zhang¹, Liping Si², Yue Xing², Jia Geng³, Qiong Jiao⁴, Huizhen Zhang⁴, Weiwu Yao², and Guang Yang¹

¹Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China, ²Department of Imaging, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, ³Department of Radiology, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China, ⁴Department of Pathology, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China

Osteosarcoma is the most common malignant osseous tumor and neoadjuvant chemotherapy for osteosarcoma has significantly improved survival outcomes. However, not all patients benefit from the current treatment strategy. We constructed a nomogram combined radiomics features from routinely available T2WI images and clinical variables to predict the response to neoadjuvant chemotherapy. The nomogram achieved an AUC of 0.838 (95% CI, 0.700-0.958) and DCA suggested that it has the potential to be used for preoperational prediction of pathological NAC response in osteosarcoma patients.

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