Main methods to detect Multiple Sclerosis (MS) lesions in patients with MS

The aim of the study is to investigate the main methodsto detect Multiple Sclerosis (MS) Lesions in patientswith MS. This study was a systematic review to detect main methods to detect of MS lesion in patients with MS. As a result, we found that MRI is the most accuracy and powerful too...

Full description

Saved in:
Bibliographic Details
Main Authors: Almutairi, Abdullah Dhaifallah, Mahmud, Rozi, Suppiah, Subapriya, Abu Hassan, Hasyma
Format: Article
Language:English
Published: Universidad del Zulia 2019
Online Access:http://psasir.upm.edu.my/id/eprint/81265/1/Main%20methods%20to%20detect%20Multiple%20Sclerosis%20.pdf
http://psasir.upm.edu.my/id/eprint/81265/
https://produccioncientificaluz.org/index.php/opcion/article/view/24568
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Putra Malaysia
Language: English
id my.upm.eprints.81265
record_format eprints
spelling my.upm.eprints.812652021-06-17T00:34:05Z http://psasir.upm.edu.my/id/eprint/81265/ Main methods to detect Multiple Sclerosis (MS) lesions in patients with MS Almutairi, Abdullah Dhaifallah Mahmud, Rozi Suppiah, Subapriya Abu Hassan, Hasyma The aim of the study is to investigate the main methodsto detect Multiple Sclerosis (MS) Lesions in patientswith MS. This study was a systematic review to detect main methods to detect of MS lesion in patients with MS. As a result, we found that MRI is the most accuracy and powerful tool for diagnosing a MS especially in early phase. In conclusion, the McDonald criteria is the best criteria that it has been proposed and revised in recently years to diagnose of MS based on clinical presentation and MRI. Universidad del Zulia 2019 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/81265/1/Main%20methods%20to%20detect%20Multiple%20Sclerosis%20.pdf Almutairi, Abdullah Dhaifallah and Mahmud, Rozi and Suppiah, Subapriya and Abu Hassan, Hasyma (2019) Main methods to detect Multiple Sclerosis (MS) lesions in patients with MS. Opcion, 35 (20). pp. 1060-1076. ISSN 1012-1587; ESSN: 2477-9385 https://produccioncientificaluz.org/index.php/opcion/article/view/24568
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description The aim of the study is to investigate the main methodsto detect Multiple Sclerosis (MS) Lesions in patientswith MS. This study was a systematic review to detect main methods to detect of MS lesion in patients with MS. As a result, we found that MRI is the most accuracy and powerful tool for diagnosing a MS especially in early phase. In conclusion, the McDonald criteria is the best criteria that it has been proposed and revised in recently years to diagnose of MS based on clinical presentation and MRI.
format Article
author Almutairi, Abdullah Dhaifallah
Mahmud, Rozi
Suppiah, Subapriya
Abu Hassan, Hasyma
spellingShingle Almutairi, Abdullah Dhaifallah
Mahmud, Rozi
Suppiah, Subapriya
Abu Hassan, Hasyma
Main methods to detect Multiple Sclerosis (MS) lesions in patients with MS
author_facet Almutairi, Abdullah Dhaifallah
Mahmud, Rozi
Suppiah, Subapriya
Abu Hassan, Hasyma
author_sort Almutairi, Abdullah Dhaifallah
title Main methods to detect Multiple Sclerosis (MS) lesions in patients with MS
title_short Main methods to detect Multiple Sclerosis (MS) lesions in patients with MS
title_full Main methods to detect Multiple Sclerosis (MS) lesions in patients with MS
title_fullStr Main methods to detect Multiple Sclerosis (MS) lesions in patients with MS
title_full_unstemmed Main methods to detect Multiple Sclerosis (MS) lesions in patients with MS
title_sort main methods to detect multiple sclerosis (ms) lesions in patients with ms
publisher Universidad del Zulia
publishDate 2019
url http://psasir.upm.edu.my/id/eprint/81265/1/Main%20methods%20to%20detect%20Multiple%20Sclerosis%20.pdf
http://psasir.upm.edu.my/id/eprint/81265/
https://produccioncientificaluz.org/index.php/opcion/article/view/24568
_version_ 1703962153859416064