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Abstract #3062

Radiomics analysis of neurite orientation dispersion and density imaging: differentiation between glioblastoma and solitary brain metastasis

Guohua Zhao1, Huiting Zhang2, Eryuan Gao1, Ankang Gao1, Xiaoyue Ma1, Jie Bai1, Xu Yan2, Guang Yang3, Yusong Lin4, and Jingliang Cheng1
1The Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2Siemens Healthineers, Shanghai, China, 3Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China, 4The School of Software, Zhengzhou University, Zhengzhou, China


Differentiation of glioblastomas and solitary brain metastases is clinically crucial for the prescription of patient management and assessment of prognosis. However, indistinguishable signs between two tumors on routine MRI leads to a high misdiagnosis rate. Neurite orientation dispersion and density imaging (NODDI) can not only estimate the intricacy of neurites in vivo but also provide data to illuminate pathology. We developed a series of radiomics models of NODDI parameter maps, routine MRI, combined routine MRI, and combined NODDI parameter maps to compare their performance in the identification of two tumors. Finally, the combined NODDI radiomics model obtained the best performance.

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