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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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