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Abstract #3716

Radiomic Analysis of APT MRI for Preoperative Risk Stratification of Pediatric Neuroblastoma

Wenqi Wang1, Jia Xuan2, Jiawei Liang2, Xiaohui Ma2, Weibo Chen3, Dan Wu1, Hongxi Zhang2, Can Lai2, and Yi Zhang1
1Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China, 2Department of Radiology, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China, 3Philips Healthcare, Shanghai, China


Neuroblastoma (NB) is most often diagnosed in young children, and high-risk NB indicates a poor prognosis and requires aggressive treatment. Here, we assessed the utility of radiomics for amide proton transfer (APT) imaging in the preoperative classification of high-risk and low-risk abdominal NBs. Thirty-three pediatric patients underwent APT scans, with 16 confirmed high-risk NBs and 17 confirmed low-risk NBs. Radiomic models were constructed from four APT-related metric maps using 7 classifiers, with their prediction performances evaluated by associated AUCs. The optimal model achieved an AUC of 0.86, demonstrating the potential of APT MRI-based radiomics for risk stratification of NB.

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