The effect of venous anatomy on the morphology of multiple sclerosis lesions: a susceptibility-weighted imaging study

Öztoprak, Bilge; Öztoprak, İbrahim; Yıldız, Özlem

doi:10.1016/j.crad.2016.02.005

Cited by 13 publications

(13 citation statements)

References 22 publications

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“…The characteristics of the eligible studies are shown in Table 1. Six studies had a prospective design 8,10,15,18,21,23 and six studies had a retrospective design 7,14,16,17,22,25 , with the other studies not reporting the design. Patient enrollment was conducted in a consecutive fashion in only three studies 18,20,25 , with this detail not being reported in the others.…”

Section: Resultsmentioning

confidence: 99%

“…The eligible studies included numbers of MS patients ranging from 8 to 68. Fifteen studies 6–10,12,14–17,20,21,23–25 used the revised 2010 McDonald criteria 39 , two studies 13,26 used the revised 2005 McDonald criteria 40 , and the other four studies 11,18,19,22 did not mention the criteria used to diagnose MS.…”

Section: Resultsmentioning

confidence: 99%

“…21 (2016)NANottingham University Hospitals NHS Trust, UKprospective2345.5 (25–66)13:10Oztoprak B, et al . 22 (2016)2013.9–2014.9Cumhuriyet University School of Medicine, Turkeyretrospective3834.35:33Sinnecker T, et al . 23 (2012)NANeuroCure Clinical Research Center, Charité – Universitaetsmedizin Berlin, Germanyprospective1841 (27–53)7:11Solomon AJ, et al .…”

Section: Resultsmentioning

confidence: 99%

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The “Central Vein Sign” on T2*-weighted Images as a Diagnostic Tool in Multiple Sclerosis: A Systematic Review and Meta-analysis using Individual Patient Data

Suh

Kim

Jung

et al. 2019

Sci Rep

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We aimed to evaluate the pooled incidence of central vein sign on T2*-weighted images from patients with multiple sclerosis (MS), and to determine the diagnostic performance of this central vein sign for differentiating MS from other white matter lesions and provide an optimal cut-off value. A computerized systematic search of the literature in PUBMED and EMBASE was conducted up to December 14, 2018. Original articles investigating central vein sign on T2*-weighted images of patients with MS were selected. The pooled incidence was obtained using random-effects model. The pooled sensitivity and specificity were obtained using a bivariate random-effects model. An optimal cut-off value for the proportion of lesions with a central vein sign was calculated from those studies providing individual patient data. Twenty-one eligible articles covering 501 patients with MS were included. The pooled incidence of central vein sign at the level of individual lesion in patients with MS was 74% (95% CI, 65–82%). The pooled sensitivity and pooled specificity for the diagnostic performance of the central vein sign were 98% (95% CI, 92–100%) and 97% (95% CI, 91–99%), respectively. The area under the HSROC curve was 1.00 (95% CI, 0.99–1.00). The optimal cut-off value for the proportion of lesions with a central vein sign was found to be 45%. Although various T2*-weighted images have been used across studies, the current evidence supports the use of the central vein sign on T2*-weighted images to differentiate MS from other white matter lesions.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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The “Central Vein Sign” on T2*-weighted Images as a Diagnostic Tool in Multiple Sclerosis: A Systematic Review and Meta-analysis using Individual Patient Data

Suh

Kim

Jung

et al. 2019

Sci Rep

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“…[32] Susceptibility-based techniques, such as SWI and QSM, have demonstrated many white and grey matter MS lesions with a central vein, highlighting their perivenular localization. [33] Natalizumab, an effective treatment for relapsing-remitting MS, carries the risk for developing progressive multifocal leukoencephalopathy (PML). PML can be seen as increased susceptibility in U-fibers or deep gray matter on T2*, SWI or QSM, which may be due to iron deposition.…”

Section: Clinical Applicationsmentioning

confidence: 99%

Susceptibility-Based Neuroimaging: Standard Methods, Clinical Applications, and Future Directions

et al. 2017

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The evaluation of neuropathologies using MRI methods that leverage tissue susceptibility have become standard practice, especially to detect blood products or mineralization. Additionally, emerging MRI techniques have the ability to provide new information based on tissue susceptibility properties in a robust and quantitative manner. This paper discusses these advanced susceptibility imaging techniques and their clinical applications.

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“…The initiating neuroinflammatory events of multiple sclerosis remain unclear, however, the pathological hallmark of the disease involves peripheral immune cell infiltration via the internal cerebral venous system of the white matter (1) upon disruption to the blood-brain-barrier, leading to perivenular demyelination and axonal injury. Imaging studies have shown that a majority of MS patients have perivenular lesions, leading to recent proposals to include the so-called "central vein sign" as an aid for differential diagnosis (2)(3)(4).…”

Section: Introductionmentioning

confidence: 99%

An Experimental Investigation of White Matter Venous Hemodynamics: Basic Physiology and Disruption in Neuroinflammatory Disease

Kolbe¹,

Gajamange

Cleary

et al. 2020

Front. Neurol.

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The white matter is highly vascularised by the cerebral venous system. In this paper, we describe a unique blood oxygen-level dependent (BOLD) signal within the white matter using functional MRI and spatial independent components analysis. The signal is characterized by a narrow peak frequency band between 0.05 and 0.1 Hz. Hypercapnia, induced transient increases in white matter venous BOLD that disrupted the oscillation indicative of a vasocontractile mechanism. Comparison of the white matter venous BOLD oscillations between 14 healthy subjects and 18 people with perivenular inflammation due to multiple sclerosis (MS), revealed loss of power in the white matter venous BOLD signal in the peak frequency band (patients = 6.70 ± 0.94 dB/Hz vs. controls = 7.64 ± 0.71 dB/Hz; p = 0.006). In MS, lower power was associated with greater levels of neuroinflammatory activity (R = −0.64, p = 0.006). Using a signal modeling technique, we assessed the anatomical distribution of white matter venous BOLD signal abnormalities and detected reduced power in the periventricular white matter, a region of known venous damage in MS. These results demonstrate a novel link between neuroinflammation and vascular physiological dysfunction in the cerebral white matter, and could indicate enduring loss of vascular compliance associated with imperfect repair of blood-brain barrier damage after resolution of acute neuroinflammation.

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The effect of venous anatomy on the morphology of multiple sclerosis lesions: a susceptibility-weighted imaging study

Cited by 13 publications

References 22 publications

The “Central Vein Sign” on T2*-weighted Images as a Diagnostic Tool in Multiple Sclerosis: A Systematic Review and Meta-analysis using Individual Patient Data

The “Central Vein Sign” on T2*-weighted Images as a Diagnostic Tool in Multiple Sclerosis: A Systematic Review and Meta-analysis using Individual Patient Data

Susceptibility-Based Neuroimaging: Standard Methods, Clinical Applications, and Future Directions

An Experimental Investigation of White Matter Venous Hemodynamics: Basic Physiology and Disruption in Neuroinflammatory Disease

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