Mesh : Humans Multiple Sclerosis / diagnostic imaging pathology Brain / diagnostic imaging pathology Gray Matter / diagnostic imaging pathology White Matter / pathology Magnetic Resonance Imaging / methods Atrophy / diagnostic imaging pathology Multiple Sclerosis, Relapsing-Remitting / pathology

来  源:   DOI:10.1371/journal.pone.0300415   PDF(Pubmed)

Abstract:
BACKGROUND: Multiple Sclerosis (MS) is a chronic neurodegenerative disorder that affects the central nervous system (CNS) and results in progressive clinical disability and cognitive decline. Currently, there are no specific imaging parameters available for the prediction of longitudinal disability in MS patients. Magnetic resonance imaging (MRI) has linked imaging anomalies to clinical and cognitive deficits in MS. In this study, we aimed to evaluate the effectiveness of MRI in predicting disability, clinical progression, and cognitive decline in MS.
METHODS: In this study, according to PRISMA guidelines, we comprehensively searched the Web of Science, PubMed, and Embase databases to identify pertinent articles that employed conventional MRI in the context of Relapsing-Remitting and progressive forms of MS. Following a rigorous screening process, studies that met the predefined inclusion criteria were selected for data extraction and evaluated for potential sources of bias.
RESULTS: A total of 3028 records were retrieved from database searching. After a rigorous screening, 53 records met the criteria and were included in this study. Lesions and alterations in CNS structures like white matter, gray matter, corpus callosum, thalamus, and spinal cord, may be used to anticipate disability progression. Several prognostic factors associated with the progression of MS, including presence of cortical lesions, changes in gray matter volume, whole brain atrophy, the corpus callosum index, alterations in thalamic volume, and lesions or alterations in cross-sectional area of the spinal cord. For cognitive impairment in MS patients, reliable predictors include cortical gray matter volume, brain atrophy, lesion characteristics (T2-lesion load, temporal, frontal, and cerebellar lesions), white matter lesion volume, thalamic volume, and corpus callosum density.
CONCLUSIONS: This study indicates that MRI can be used to predict the cognitive decline, disability progression, and disease progression in MS patients over time.
摘要:
背景:多发性硬化(MS)是一种慢性神经退行性疾病,会影响中枢神经系统(CNS)并导致进行性临床残疾和认知功能下降。目前,没有特定的影像学参数可用于预测MS患者的纵向残疾.磁共振成像(MRI)已将影像学异常与MS的临床和认知障碍联系起来。在这项研究中,我们旨在评估MRI在预测残疾方面的有效性,临床进展,和MS的认知能力下降
方法:在本研究中,根据PRISMA指南,我们全面搜索了科学网,PubMed,和Embase数据库,以识别在复发释放和渐进形式的MS中采用常规MRI的相关文章。经过严格的筛选,选择符合预定纳入标准的研究进行数据提取,并评估潜在偏倚来源.
结果:从数据库搜索中检索到总共3028条记录。经过严格的筛选,53条记录符合标准并纳入本研究。中枢神经系统结构如白质的损伤和改变,灰质,call体,丘脑,和脊髓,可用于预测残疾进展。与MS进展相关的几个预后因素,包括皮质病变的存在,灰质体积的变化,全脑萎缩,call体指数,丘脑体积的改变,脊髓横截面积的病变或改变。对于MS患者的认知障碍,可靠的预测因子包括皮质灰质体积,脑萎缩,病变特征(T2-病变负荷,temporal,额叶,和小脑病变),白质病变体积,丘脑体积,和call体密度。
结论:这项研究表明,MRI可用于预测认知功能下降,残疾进展,随着时间的推移,MS患者的疾病进展。
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