Application of magnetic resonance combined with artificial intelligence brain segmentation software in quantitative evaluation of brain atrophy in autoimmune glial fibrillary acidic protein astrocytopathy： A case report and literature review

VernacularTitle:MR结合人工智能脑分割软件对自身免疫性GFAP-A脑萎缩定量评估中的应用及文献复习
Author: Yingyi CUI ¹ ; Jiaoqi WANG ¹
Author Information

1. Department of Neurology， China-Japan Union Hospital of Jilin University， Changchun 130033， China
Publication Type:Journal Article
Keywords: Autoimmune glial fibrillary acidic protein astrocytopathy; Artificial intelligence brain segmentation software; Head magnetic resonance; Glial fibrillary acidic protein
From: Journal of Apoplexy and Nervous Diseases 2025;42(11):1041-1045
CountryChina
Language:Chinese
Abstract: This article reports a case of autoimmune glial fibrillary acidic protein astrocytopathy （GFAP-A） with the initial symptoms of intermittent headache for 1 year and slow response for 6 months. Head magnetic resonance combined with artificial intelligence brain segmentation software was used to measure the volume of each brain region， and the results showed that brain atrophy involved multiple functional areas of the brain， with a volume of brain parenchymal area lower than the normal reference level. Magnetic resonance images taken 60 days apart showed significant progression of hippocampal atrophy. Head magnetic resonance combined with artificial intelligence brain segmentation software can provide precise segmentation and quantitative measurement of brain regions， and the results show progressive aggravation of the reduction in brain volume in GFAP-A.