MRI Findings in Late-Onset Multiple Sclerosis; a Systematic Review and Meta-Analysis

MRI Findings in Late-Onset Multiple Sclerosis; a Systematic Review and Meta-Analysis


چاپ صفحه		 پژوهان
صفحه نخست سامانه		 نویسندگان
نویسندگان		 اطلاعات تفضیلی
اطلاعات تفضیلی		 دانلود مقاله
دانلود مقاله		 دانشگاه علوم پزشکی تبریز
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نویسندگان: امیررضا ناصری , احسان نصیری , سارا دانشور , مهناز طالبی

عنوان کنگره / همایش: Sixth MENACTRIMS Congress , United Arab Emirates , Dubai , 2021

اطلاعات کلی مقاله
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نویسنده ثبت کننده مقاله مهناز طالبی
مرحله جاری مقاله تایید نهایی
دانشکده/مرکز مربوطه مرکز تحقیقات علوم اعصاب
کد مقاله 78469
عنوان فارسی مقاله MRI Findings in Late-Onset Multiple Sclerosis; a Systematic Review and Meta-Analysis
عنوان لاتین مقاله MRI Findings in Late-Onset Multiple Sclerosis; a Systematic Review and Meta-Analysis
نوع ارائه پوستر
عنوان کنگره / همایش Sixth MENACTRIMS Congress
نوع کنگره / همایش بین المللی
کشور محل برگزاری کنگره/ همایش United Arab Emirates
شهر محل برگزاری کنگره/ همایش Dubai
سال انتشار/ ارائه شمسی 1400
سال انتشار/ارائه میلادی 2021
تاریخ شمسی شروع و خاتمه کنگره/همایش 1400/09/19 الی 1400/09/21
آدرس لینک مقاله/ همایش در شبکه اینترنت https://www.msard-journal.com/article/S2211-0348(22)00109-2/fulltext#%20
آدرس علمی (Affiliation) نویسنده متقاضی Neurosciences Research Center (NSRC), Tabriz University of Medical Sciences, Tabriz, Iran

نویسندگان
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نویسنده نفر چندم مقاله
امیررضا ناصریاول
احسان نصیریدوم
سارا دانشورچهارم
مهناز طالبیپنجم

اطلاعات تفضیلی
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عنوان متن
کلمات کلیدیKeywords: late-onset; multiple sclerosis; MS; LOMS; MRI; systematic review; meta-analysis.
خلاصه مقالهBackground: Multiple sclerosis (MS) commonly affects young adults at the ages 20 to 40 years old, but it can onset at each age. Late-onset multiple sclerosis (LOMS) is defined as symptoms initiating after the age of 50. Because of similar manifestations between LOMS and other diseases of the elderly, misdiagnosis and a remarkable gap in diagnosis of LOMS is a challenge of the elderly population (1, 2). Since its technical development in the early 1980s, magnetic resonance imaging (MRI) has quickly been adopted as an essential tool in supporting the diagnosis, longitudinal monitoring, evaluation of therapeutic response, and scientific investigations in MS (3). In this systematic review, we elevate the MRI profiles of LOMS cases, based on published studies. As spinal cord involvement is an important cause of disability in patients with MS (4), we also investigated the proportion of spinal cord involvement in LOMS cases. Methods: MEDLINE via PubMed, EMBASE, and Scopus databases were searched with the 'multiple sclerosis, MS, late onset and LOMS” keywords, on November, 2020, with no restrictions and updated via hand searching in October 2021. Two independent researchers screened the records in title/abstract and full-text stages and extracted the data using a data extraction table. The meta-analysis was conducted using the Comprehensive Meta-Analysis (CMA) with 95% confidence intervals and 0.05 level of significance for p-value. Results: 733 records were screened in the title/abstract and 70 studies in full-text stages and finally 16 studies were included in this systematic review (figure1). In one of the included studies in a Canadian setting, spinal cord involvement was seen in 100% of patients, but this study was limited by size (n= 12) and the age of patients was above 60 in time of diagnosis of MS. On the other hand, the lowest spinal cord involvement (29.1%) belonged to a study in an Iranian setting with 48 patients. The details of included studies are reported in table 1. Based on the meta-analysis in random effect model 65.4% (95% CI: 49.7% to 78.3%) of LOMS casas had spinal cord involvements with 89.79% I2 heterogeneity (p-value <0.01) (figure2). Conclusion: There is a significant rate of spinal cord involvement in LOMS cases, which can cause a significant disability in MS patients and affect the patients’ quality of life. Improvement in MRI techniques has allowed a better assessment of correlation between the clinical and radiological parameters. Not only does MRI identify MS-like lesions, but it also excludes other potentially mimicking pathologies, so increasing the knowledge regarding the MRI finding of LOMS cases, can help clinician in timely diagnosis of the disease.

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