Automated quantification of deep grey matter structures and white matter lesions using magnetic resonance imaging in relapsing remission multiple sclerosis

被引:0
作者
Mina Rizkallah
Mohamed Hefida
Mohamed Khalil
Rasha Mahmoud Dawoud
机构
[1] Ministry of Health,Faculty of Medicine
[2] Tanta University,undefined
[3] Tanta University,undefined
来源
Egyptian Journal of Radiology and Nuclear Medicine | / 52卷
关键词
Multiple sclerosis; MRI volumetry in RRMS; Brain volume loss;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 112 条
  • [1] Compston A(2002)Multiple sclerosis Lancet 359 1221-1231
  • [2] Coles A(2014)Atlas of multiple sclerosis 2013: A growing global problem with widespread inequity Neurology 83 1022-1024
  • [3] Browne P(1989)The natural history of multiple sclerosis: a geographically based study. 2. Predictive value of the early clinical course Brain 112 1419-1428
  • [4] Chandraratna D(2020)Systematic review of prediction models in relapsing remitting multiple sclerosis PLoS ONE 15 e0233575-936
  • [5] Angood C(2006)Sex ratio of multiple sclerosis in Canada: a longitudinal study Lancet Neurol 5 932-171
  • [6] Weinshenker BG(2004)The nature of multiple sclerosis Clin Neurol Neurosurg 106 159-10
  • [7] Bass B(2017)Multiple sclerosis: pathogenesis, symptoms, diagnoses and cell-based therapy Cell J 19 1-1452
  • [8] Rice GP(1983)Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS) Neurology 33 1444-323
  • [9] Brown FS(2019)The expanded disability status scale scoring in patients with multiple sclerosis Ideggyogy Sz 72 317-2471
  • [10] Glasmacher SA(2013)Recommendations to improve imaging and analysis of brain lesion load and atrophy in longitudinal studies of multiple sclerosis J Neurol 260 2458-922