Volume 4, Issue 2 (Spring 2023)                   J Vessel Circ 2023, 4(2): 59-66 | Back to browse issues page

Ethics code: IR.IUMS.FMD.REC.1398.226


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Ebrahimi R, Kateb H, Moshfeghi S, Haji Akhoundi F. Investigating the MRI Lesions and Their Relationship With Cognition Condition for Multiple Sclerosis. J Vessel Circ 2023; 4 (2) :59-66
URL: http://jvessels.muq.ac.ir/article-1-259-en.html
1- Department of Radiology, School of Medicine, Firoozgar General Hospital, Iran University of Medical Sciences, Tehran, Iran.
2- Department of Ophthalmology, Eye Research Center, School of Medicine, Five Senses Health Research Institute, Hazrat-e Rasool General Hospital, Iran University of Medical Sciences, Tehran, Iran.
3- Department of Neurology, School of Medicine, Firoozgar General Hospital, Iran University of Medical Sciences, Tehran, Iran.
Abstract:   (454 Views)
Background and Aim: Multiple sclerosis (MS) is a common inflammatory disease affecting the central nervous system, causing demyelination and axon loss. Cognitive impairment is also prevalent in patients. This study aims to measure magnetic resonance imaging (MRI) findings and their relation to cognitive impairments in MS patients.
Materials and Methods: This cross-sectional analytical study was conducted on 50 patients with a definite diagnosis of MS at Firoozgar Hospital in Tehran Province, Iran, from 2019 to 2021. MRI, complete neurological and psychological examinations, and information documented in the records were used to prepare a complete list of clinical, neurological, and psychological manifestations. The severity of these symptoms was assessed, and patients were scored according to the expanded disability status scale (EDSS), cholinergic pathways hyperintensities scale (CHIPS), and brief international cognitive assessment for multiple sclerosis (BICAMS) criteria.  
Results: This study included 36 women and 14 men with a mean age of 34.14±9.4 years. Relapse and remission were observed in 70% of patients. CHIPS score had a significant relationship with spinal symptoms. Also, the BICAMS score of patients showed a significant relationship with limbic involvement in MRI. The third ventricular diameter and CHIPS score were positively correlated with the BICAMS score. Patients’ EDSS score had a significant relationship with the symbol digit modalities test (SDMT) score.  
Conclusion: In this study, a significant relationship is observed between the size of the third ventricle and the CHIPS score with decreased cognitive function in MS patients. Therefore, MRI can be used to suspect cognitive disorders in MS patients.
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Type of Study: Research | Subject: vascular neurological diseases
Received: 2023/08/15 | Accepted: 2023/10/10 | Published: 2023/12/1

References
1. Chiaravalloti ND, DeLuca J. Cognitive impairment in multiple sclerosis. Lancet Neurol. 2008; 7(12):1139-51. [DOI:10.1016/S1474-4422(08)70259-X] [PMID] [DOI:10.1016/S1474-4422(08)70259-X]
2. Fischer M, Kunkel A, Bublak P, Faiss JH, Hoffmann F, Sailer M, et al. How reliable is the classification of cognitive impairment across different criteria in early and late stages of multiple sclerosis? J Neurol Sci. 2014; 343(1-2):91-9. [DOI:10.1016/j.jns.2014.05.042] [PMID] [DOI:10.1016/j.jns.2014.05.042]
3. Paybast S, Aghaali M, Sabokbar T, Assi MH, Rahmati Aram S, Shahrab F, et al . Evaluation of sleep disorders in patients with multiple sclerosis: A cross-sectional study in qom province, Iran. Qom Univ Med Sci J. 2021; 15(7):490-7 [DOI:10.32598/qums.15.7.2308.1] [DOI:10.32598/qums.15.7.2308.1]
4. Vollmer T, Huynh L, Kelley C, Galebach P, Signorovitch J, DiBernardo A, et al. Relationship between brain volume loss and cognitive outcomes among patients with multiple sclerosis: A systematic literature review. Neurol Sci. 2016; 37(2):165-79. [DOI:10.1007/s10072-015-2400-1] [PMID] [DOI:10.1007/s10072-015-2400-1]
5. Ayoubi S, Asadigandomani H, Bafrani MA, Shirkoohi A, Nasiri M, Sahraian MA, et al. The national multiple sclerosis registry system of Iran (NMSRI): Aspects and methodological dimensions. Mult Scler Relat Disord. 2023; 72:104610. [DOI:10.1016/j.msard.2023.104610] [PMID] [DOI:10.1016/j.msard.2023.104610]
6. Amato MP, Portaccio E, Goretti B, Zipoli V, Battaglini M, Bartolozzi ML, et al. Association of neocortical volume changes with cognitive deterioration in relapsing-remitting multiple sclerosis. Arch Neurol. 2007; 64(8):1157-61.[DOI:10.1001/archneur.64.8.1157] [PMID] [DOI:10.1001/archneur.64.8.1157]
7. Batista S, Zivadinov R, Hoogs M, Bergsland N, Heininen-Brown M, Dwyer MG, et al. Basal ganglia, thalamus and neocortical atrophy predicting slowed cognitive processing in multiple sclerosis. J Neurol. 2012; 259(1):139-46. [DOI:10.1007/s00415-011-6147-1] [PMID] [DOI:10.1007/s00415-011-6147-1]
8. Harrison DM, Roy S, Oh J, Izbudak I, Pham D, Courtney S, et al. Association of cortical lesion burden on 7-T magnetic resonance imaging with cognition and disability in multiple sclerosis. JAMA Neurol. 2015; 72(9):1004-12. [DOI:10.1001/jamaneurol.2015.1241] [PMID] [PMCID] [DOI:10.1001/jamaneurol.2015.1241]
9. Patti F, De Stefano M, Lavorgna L, Messina S, Chisari CG, Ippolito D, et al. Lesion load may predict long-term cognitive dysfunction in multiple sclerosis patients. Plos One. 2015; 10(3):e0120754. [DOI:10.1371/journal.pone.0120754] [PMID] [PMCID] [DOI:10.1371/journal.pone.0120754]
10. Sacco R, Bisecco A, Corbo D, Della Corte M, d'Ambrosio A, Docimo R, et al. Cognitive impairment and memory disorders in relapsing-remitting multiple sclerosis: The role of white matter, gray matter and hippocampus. J Neurol. 2015; 262(7):1691-7. [DOI:10.1007/s00415-015-7763-y] [PMID] [DOI:10.1007/s00415-015-7763-y]
11. Pitteri M, Galazzo IB, Brusini L, Cruciani F, Dapor C, Marastoni D, et al. Microstructural MRI correlates of cognitive impairment in multiple sclerosis: The role of deep gray matter. Diagnostics. 2021; 11(6):1103. [DOI:10.3390/diagnostics11061103] [PMID] [PMCID] [DOI:10.3390/diagnostics11061103]
12. Walton C, King R, Rechtman L, Kaye W, Leray E, Marrie RA, et al. Rising prevalence of multiple sclerosis worldwide: Insights from the Atlas of MS, third edition. Mult Scler. 2020; 26(14):1816-21. [DOI:10.1177/1352458520970841] [PMID] [PMCID] [DOI:10.1177/1352458520970841]
13. Artemiadis AK, Anagnostouli MC, Alexopoulos EC. Stress as a risk factor for multiple sclerosis onset or relapse: A systematic review. Neuroepidemiology. 2011; 36(2):109-20. [PMID] [DOI:10.1159/000323953]
14. Sánchez MP, Nieto A, Barroso J, Martín V, Hernández MA. Brain atrophy as a marker of cognitive impairment in mildly disabling relapsing-remitting multiple sclerosis. Eur J Neurol. 2008; 15(10):1091-9. [DOI:10.1111/j.1468-1331.2008.02259.x] [PMID] [DOI:10.1111/j.1468-1331.2008.02259.x]
15. Müller M, Esser R, Kötter K, Voss J, Müller A, Stellmes P. Third ventricular enlargement in early stages of multiple sclerosis is a predictor of motor and neuropsychological deficits: A cross-sectional study. BMJ Open. 2013; 3(9):e003582. [DOI:10.1136/bmjopen-2013-003582] [PMID] [PMCID] [DOI:10.1136/bmjopen-2013-003582]

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