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Abstract #3131

Molecular subgrouping of pediatric medulloblastoma by APT radiomics

Junjie Wen1, Hongxi Zhang2, Zhipeng Shen3, Xiaohui Ma2, Xinchun Chen2, Weibo Chen4, Dan Wu1, and Yi Zhang1
1Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hang Zhou, Zhejiang, China, 2Department of Radiology, Children’s Hospital, Zhejiang University School of Medicine, Hang Zhou, Zhejiang, China, 3Department of Neurosurgery, Children’s Hospital, Zhejiang University School of Medicine, Hang Zhou, Zhejiang, China, 4Philips Healthcare, Shanghai, China

Synopsis

APT imaging and its derived metric maps were applied to identify molecular subgroups of medulloblastoma for the first time. Thirty-eight newly-diagnosed pediatric patients with medulloblastoma were enrolled in this study and scanned on a 3T scanner. We implemented a radiomic analysis of the APT-related metric maps, with initial regions of interest delineated by an experienced radiologist and then shrunk automatically. After feature extraction and selection, five different classifiers were tested with both single-metric and multi-metric maps. We successfully established predictive models to differentiate the subgroups of medulloblastoma with good accuracy of 0.754.

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