Are Periventricular Lesions Specific for Multiple Sclerosis?

Casini, Gianna; Yurashevich, Mary; Vanga, Rohini R.; Dash, Subasini; Dhib‐Jalbut, Suhayl; Gerhardstein, Brian; Inglese, Matilde; Toe, Win; Balashov, Konstantin

doi:10.4172/2155-9562.1000150

Cited by 8 publications

(2 citation statements)

References 23 publications

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“…Lastly, the periventricular region was the highest anatomical location of IRLs presence while the cortical was the least. This is to be expected as MS lesions are commonly seen around the ventricles [ 66 ]. Although the focus of this review was mainly in the brain, IRLs were also found in the spinal cord [ 40 ].…”

Section: Discussionmentioning

confidence: 99%

Iron Rims as an Imaging Biomarker in MS: A Systematic Mapping Review

et al. 2020

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Background: Multiple sclerosis (MS) is an autoimmune, inflammatory, demyelinating and degenerative disease of the central nervous system (CNS). To date, there is no definitive imaging biomarker for diagnosing MS. The current diagnostic criteria are mainly based on clinical relapses supported by the presence of white matter lesions (WMLs) on MRI. However, misdiagnosis of MS is still a significant clinical problem. The paramagnetic, iron rims (IRs) around white matter lesions have been proposed to be an imaging biomarker in MS. This study aimed to carry out a systematic mapping review to explore the detection of iron rim lesions (IRLs), on clinical MR scans, and describe the characteristics of IRLs presence in MS versus other MS-mimic disorders. Methods: Publications from 2001 on IRs lesions were reviewed in three databases: PubMed, Web of Science and Embase. From the initial result set 718 publications, a final total of 38 papers were selected. Results: The study revealed an increasing interest in iron/paramagnetic rims lesions studies. IRs were more frequently found in periventricular regions and appear to be absent in MS-mimics. Conclusions IR is proposed as a promising imaging biomarker for MS.

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Section: Discussionmentioning

confidence: 99%

Iron Rims as an Imaging Biomarker in MS: A Systematic Mapping Review

et al. 2020

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“…Because of its large size, the detection of such lesions is easy, and it may have different shapes with high contrast on edema. FLAIR provides high sensitivity to detect such lesions because it can differentiate the signal from CSF [32] [33]. Juxtacortical lesions are small with a spherical or elliptical shape and have low contrast.…”

Section: Ms Lesions Localizationmentioning

confidence: 99%

A Bibliography of Multiple Sclerosis Lesions Detection Methods using Brain MRIs

Shah¹,

S.²,

Ahmad³

et al. 2023

Preprint

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Introduction: Multiple Sclerosis (MS) is a chronic disease that affects millions of people across the globe. MS can critically affect different organs of the central nervous system such as the eyes, the spinal cord, and the brain.Background: To help physicians in diagnosing MS lesions, computer-aided methods are widely used. In this regard, a considerable research has been carried out in the area of automatic detection and segmentation of MS lesions in magnetic resonance images (MRIs).Methodology: In this study, we review the different approaches that have been used in computer-aided detection and segmentation of MS lesions. Our review resulted in categorizing MS lesion segmentation approaches into six broad categories: data-driven, statistical, supervised machine learning, unsupervised machine learning, fuzzy, and deep learning-based techniques. We critically analyze the different techniques under these approaches and highlight their strengths and weaknesses.

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Chronic active lesions preferentially localize in watershed territories in multiple sclerosis

Toubasi,

Eisma,

Wang

et al. 2024

Ann Clin Transl Neurol

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ObjectiveParamagnetic rim lesions (PRLs) are a biomarker of chronic active lesions (CALs), and an important driver of neurological disability in multiple sclerosis (MS). The reason subtending some acute lesions evolvement into CALs is not known. Here we ask whether a relatively lower oxygen content is linked to CALs.MethodsIn this prospective cross‐sectional study, 64 people with multiple sclerosis (PwMS), clinically isolated syndrome and radiologically isolated syndrome underwent a 7.0 Tesla (7 T) brain magnetic resonance imaging (MRI). The scanning protocol included a T2‐w fluid‐attenuated inversion recovery (FLAIR), and a single echo gradient echo from which susceptibility‐weighted imaging (SWI) was derived. WM lesions were identified on the T2‐w‐FLAIR whilst PRLs were identified on the SWI sequence. T2‐lesions were classified as PRLs and rimless lesions (PRLs‐). We registered a universal vascular atlas to each subject's T2‐w‐FLAIR and classified each T2‐lesions according to its location into watershed‐ (ws), non‐watershed‐ (nws), and mixed‐lesion (m). Ws‐lesions were defined as lesions that were fully located in a region between the territories of two major arteries.ResultsOut of 1,975 T2‐lesions, 88 (4.5%) were PRLs. Ws‐regions had a higher number (p = 0.005) and proportion (p < 0.001) of PRLs‐ compared to nws‐regions. Ws‐PRL‐ were larger compared to nws‐ones (p = 0.009). The number (p = 0.043) and proportion (p < 0.001) of PRLs was higher in ws‐regions compared to nws‐ones. Ws‐PRLs were not significantly larger than nws‐ones (p = 0.195).InterpretationWe propose the novel concept of a link between arterial vascularization and chronic activity in MS by demonstrating a preferential localization of CALs in ws‐territories.

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Are Periventricular Lesions Specific for Multiple Sclerosis?

Cited by 8 publications

References 23 publications

Iron Rims as an Imaging Biomarker in MS: A Systematic Mapping Review

Iron Rims as an Imaging Biomarker in MS: A Systematic Mapping Review

A Bibliography of Multiple Sclerosis Lesions Detection Methods using Brain MRIs

Chronic active lesions preferentially localize in watershed territories in multiple sclerosis

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