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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Detalles Bibliográficos
Autores principales: Yan, Zichun, Liu, Huan, Chen, Xiaoya, Zheng, Qiao, Zeng, Chun, Zheng, Yineng, Ding, Shuang, Peng, Yuling, Li, Yongmei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8678528/
https://www.ncbi.nlm.nih.gov/pubmed/34924934
http://dx.doi.org/10.3389/fnins.2021.765634

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8678528/
https://www.ncbi.nlm.nih.gov/pubmed/34924934
http://dx.doi.org/10.3389/fnins.2021.765634

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