Possibilities and prospects of the MR morphometry method in the diagnosis of dementia

Author:

Ternovykh I. К.1ORCID,Vorobyev S. V.2ORCID,Yanishevskiy S. N.1ORCID,Tantasheva A. M.1ORCID,Shubina К. M.1ORCID,Antusheva M. S.1ORCID,Satieva M. G.1ORCID

Affiliation:

1. Almazov National Medical Research Centre

2. Almazov National Medical Research Centre; St Petersburg State Pediatric Medical University

Abstract

Dementia is one variant severe disorder’s higher cortical function and is currently considered as one most important cause a decrease in the quality household, social adaptation patients, and a violation their ability function in the world around them. It can be formed in a wide range disease, main which are neurodegenerative processes, in particular Alzheimer’s disease. In the diagnosis cognitive disorders, in addition to clinical and neuropsychological, as well as laboratory examination, modern methods computer neuroimaging plays an essential role. Same time, significant importance is attached research based on magnetic resonance, which has achieved great progress in recent years. Changes recorded by structural magnetic resonance imaging (MR tomography) often “lag behind” recorded clinical symptoms and are determined advanced disease. New MR methods have been proposed to verify early manifestations of neurodegenerative changes observed in the brain. These include, in particular, MR morphometry. It allows you to determine absolute values severity of atrophic changes, to establish their exact topical localization. Its use not only improves the possibilities of diagnosis pre-stage stages, but also improves quality of differential diagnosis various pathogenetic variants observed cognitive disorders. In addition, use special postprocessing data processing programs reduce the likelihood errors in interpretation received data. Currently, three options have been proposed for evaluating the results of MR morphometry, based on the analysis volume individual brain structures, thickness gray matter, as well as the spatial shape certain formations. Integrated use these options contributes highest quality MR morphometric examination of the brain during formation neurodegenerative process.

Publisher

Remedium, Ltd.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3