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Abstract #2033

Radiomics based on multi departments for differentiating anaplastic astrocytoma and anaplastic oligodendroglioma and predicting 1p19q status

Guohua Zhao1,2, Zehua Liu1, Jie Bai2, Ankang Gao2, Yusong Lin3, and Jingliang Cheng2
1School of Information and Engineering, Zhengzhou University, Zhengzhou, China, 2Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 3School of Software, Zhengzhou University, Zhengzhou, China

Radiologists encounter difficulty in accurately distinguishing anaplastic astrocytoma from anaplastic oligodendroglioma based on images. Neurosurgeons prefer non-invasive determination of the 1p19q tumor status to prepare treatment plans early. This study aimed to satisfy clinical needs of multi departments by constructing two radiomic models based on magnetic resonance imaging. The models can help identify the two tumors through their imaging features and predict their 1p19q status. Good performance in terms of the area under the receiver operating characteristic curve, sensitivity, and specificity was observed, suggesting the potential of our approach in supporting multidisciplinary clinical work

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