Quantitative Susceptibility Mapping-Derived Radiomic Features in Discriminating Multiple Sclerosis From Neuromyelitis Optica Spectrum Disorder

Quantitative Susceptibility Mapping-Derived Radiomic Features in Discriminating Multiple Sclerosis From Neuromyelitis Optica Spectrum Disorder

Objectives: To implement a machine learning model using radiomic features extracted from quantitative susceptibility mapping (QSM) in discriminating multiple sclerosis (MS) from neuromyelitis optica spectrum disorder (NMOSD).Materials and Methods: Forty-seven patients with MS (mean age = 40.00 ± 13....

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Bibliographic Details
Main Authors: Zichun Yan, Huan Liu, Xiaoya Chen, Qiao Zheng, Chun Zeng, Yineng Zheng, Shuang Ding, Yuling Peng, Yongmei Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-12-01
Series:Frontiers in Neuroscience
Subjects:
multiple sclerosis
neuromyelitis optica spectrum disorder
quantitative susceptibility mapping
radiomics
discrimination
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2021.765634/full

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https://www.frontiersin.org/articles/10.3389/fnins.2021.765634/full

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