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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Autores principales: Zichun Yan, Huan Liu, Xiaoya Chen, Qiao Zheng, Chun Zeng, Yineng Zheng, Shuang Ding, Yuling Peng, Yongmei Li
Formato: article
Lenguaje:EN
Publicado: Frontiers Media S.A. 2021
Materias:
multiple sclerosis
neuromyelitis optica spectrum disorder
quantitative susceptibility mapping
radiomics
discrimination
Neurosciences. Biological psychiatry. Neuropsychiatry
RC321-571
Acceso en línea:https://doaj.org/article/e1ee6dae7aac4648aea7a45460f23fcd
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https://doaj.org/article/e1ee6dae7aac4648aea7a45460f23fcd

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