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  1. Article ; Online: Reply to "Independent Confirmation".

    Mair, Grant / White, Phil / Bath, Philip / Muir, Keith W / Chappell, Francesca M / Wardlaw, Joanna M

    Annals of neurology

    2022  Volume 93, Issue 2, Page(s) 425

    Language English
    Publishing date 2022-12-25
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 80362-5
    ISSN 1531-8249 ; 0364-5134
    ISSN (online) 1531-8249
    ISSN 0364-5134
    DOI 10.1002/ana.26570
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Neuropsychiatric symptoms as a sign of small vessel disease progression in cognitive impairment.

    Clancy, Una / Ramirez, Joel / Chappell, Francesca M / Doubal, Fergus N / Wardlaw, Joanna M / Black, Sandra E

    Cerebral circulation - cognition and behavior

    2022  Volume 3, Page(s) 100041

    Abstract: Background: Neuropsychiatric symptoms associate cross-sectionally with cerebral small vessel disease but it is not clear whether these symptoms could act as early clinical markers of small vessel disease progression. We investigated whether longitudinal ...

    Abstract Background: Neuropsychiatric symptoms associate cross-sectionally with cerebral small vessel disease but it is not clear whether these symptoms could act as early clinical markers of small vessel disease progression. We investigated whether longitudinal change in Neuropsychiatric Inventory (NPI) scores associated with white matter hyperintensity (WMH) progression in a memory clinic population.
    Material and methods: We included participants from the prospective Sunnybrook Dementia Study with Alzheimer's disease and vascular subtypes of mild cognitive impairment and dementia with two MRI and ≥ 1 NPI. We conducted linear mixed-effects analyses, adjusting for age, atrophy, vascular risk factors, cognition, function, and interscan interval.
    Results: At baseline (
    Conclusions: In memory clinic patients, WMH progression over 1-2 years associated with worsening neuropsychiatric symptoms, while WMH volume remained unchanged in those with stable NPI scores in this population with low background WMH burden.
    Language English
    Publishing date 2022-01-19
    Publishing country Netherlands
    Document type Journal Article
    ISSN 2666-2450
    ISSN (online) 2666-2450
    DOI 10.1016/j.cccb.2022.100041
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Longitudinal Changes of White Matter Hyperintensities in Sporadic Small Vessel Disease: A Systematic Review and Meta-analysis.

    Jochems, Angela C C / Arteaga, Carmen / Chappell, Francesca / Ritakari, Tuula / Hooley, Monique / Doubal, Fergus / Muñoz Maniega, Susana / Wardlaw, Joanna M

    Neurology

    2022  Volume 99, Issue 22, Page(s) e2454–e2463

    Abstract: Background and objectives: White matter hyperintensities (WMHs) are frequent imaging features of small vessel disease (SVD) and related to poor clinical outcomes. WMH progression over time is well described, but regression was also noted recently, ... ...

    Abstract Background and objectives: White matter hyperintensities (WMHs) are frequent imaging features of small vessel disease (SVD) and related to poor clinical outcomes. WMH progression over time is well described, but regression was also noted recently, although the frequency and associated factors are unknown. This systematic review and meta-analysis aims to assess longitudinal intraindividual WMH volume changes in sporadic SVD.
    Methods: We searched EMBASE and MEDLINE for articles up to 28 January 2022 on WMH volume changes using MRI on ≥2 time points in adults with sporadic SVD. We classified populations (healthy/community-dwelling, stroke, cognitive, other vascular risk factors, and depression) based on study characteristics. We performed random-effects meta-analyses with Knapp-Hartung adjustment to determine mean WMH volume change (change in milliliters, percentage of intracranial volume [%ICV], or milliliters per year), 95% CI, and prediction intervals (PIs, limits of increase and decrease) using unadjusted data. Risk of bias assessment tool for nonrandomized studies was used to assess risk of bias. We followed Preferred Reporting in Systematic Review and Meta-Analysis guidelines.
    Results: Forty-one articles, 12,284 participants, met the inclusion criteria. Thirteen articles had low risk of bias across all domains. Mean WMH volume increased over time by 1.74 mL (95% CI 1.23-2.26; PI -1.24 to 4.73 mL; 27 articles, N = 7,411, mean time interval 2.7 years, SD = 1.65); 0.25 %ICV (95% CI 0.14-0.36; PI -0.06 to 0.56; 6 articles, N = 1,071, mean time interval 3.5 years, SD = 1.54); or 0.58 mL/y (95% CI 0.35-0.81; PI -0.26 to 1.41; 8 articles, N = 3,802). In addition, 13 articles specifically mentioned and/or provided data on WMH regression, which occurred in asymptomatic, stroke, and cognitive disorders related to SVD.
    Discussion: Net mean WMH volume increases over time mask wide-ranging change (e.g., mean increase of 1.75 mL ranging from 1.25 mL decrease to 4.75 mL increase), with regression documented explicitly in up to one-third of participants. More knowledge on underlying mechanisms, associated factors, and clinical correlates is needed, as WMH regression could be an important intervention target.
    MeSH term(s) Adult ; Humans ; Cerebral Small Vessel Diseases/diagnostic imaging ; Cerebral Small Vessel Diseases/psychology ; White Matter/diagnostic imaging ; Leukoaraiosis/diagnostic imaging ; Magnetic Resonance Imaging/methods ; Stroke
    Language English
    Publishing date 2022-09-19
    Publishing country United States
    Document type Meta-Analysis ; Systematic Review ; Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 207147-2
    ISSN 1526-632X ; 0028-3878
    ISSN (online) 1526-632X
    ISSN 0028-3878
    DOI 10.1212/WNL.0000000000201205
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Evaluating artificial intelligence software for delineating hemorrhage extent on CT brain imaging in stroke: AI delineation of ICH on CT.

    Vacek, Adam / Mair, Grant / White, Philip / Bath, Philip M / Muir, Keith W / Al-Shahi Salman, Rustam / Martin, Chloe / Dye, David / Chappell, Francesca M / von Kummer, Rüdiger / Macleod, Malcolm / Sprigg, Nikola / Wardlaw, Joanna M

    Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association

    2023  Volume 33, Issue 1, Page(s) 107512

    Abstract: Background: The extent and distribution of intracranial hemorrhage (ICH) directly affects clinical management. Artificial intelligence (AI) software can detect and may delineate ICH extent on brain CT. We evaluated e-ASPECTS software (Brainomix Ltd.) ... ...

    Abstract Background: The extent and distribution of intracranial hemorrhage (ICH) directly affects clinical management. Artificial intelligence (AI) software can detect and may delineate ICH extent on brain CT. We evaluated e-ASPECTS software (Brainomix Ltd.) performance for ICH delineation.
    Methods: We qualitatively assessed software delineation of ICH on CT using patients from six stroke trials. We assessed hemorrhage delineation in five compartments: lobar, deep, posterior fossa, intraventricular, extra-axial. We categorized delineation as excellent, good, moderate, or poor. We assessed quality of software delineation with number of affected compartments in univariate analysis (Kruskall-Wallis test) and ICH location using logistic regression (dependent variable: dichotomous delineation categories 'excellent-good' versus 'moderate-poor'), and report odds ratios (OR) and 95 % confidence intervals (95 %CI).
    Results: From 651 patients with ICH (median age 75 years, 53 % male), we included 628 with assessable CTs. Software delineation of ICH extent was 'excellent' in 189/628 (30 %), 'good' in 255/628 (41 %), 'moderate' in 127/628 (20 %), and 'poor' in 57/628 cases (9 %). The quality of software delineation of ICH was better when fewer compartments were affected (Z = 3.61-6.27; p = 0.0063). Software delineation of ICH extent was more likely to be 'excellent-good' quality when lobar alone (OR = 1.56, 95 %CI = 0.97-2.53) but 'moderate-poor' with any intraventricular (OR = 0.56, 95 %CI = 0.39-0.81, p = 0.002) or any extra-axial (OR = 0.41, 95 %CI = 0.27-0.62, p<0.001) extension.
    Conclusions: Delineation of ICH extent on stroke CT scans by AI software was excellent or good in 71 % of cases but was more likely to over- or under-estimate extent when ICH was either more extensive, intraventricular, or extra-axial.
    MeSH term(s) Humans ; Male ; Aged ; Female ; Cerebral Hemorrhage/diagnostic imaging ; Artificial Intelligence ; Stroke/diagnostic imaging ; Intracranial Hemorrhages/diagnostic imaging ; Tomography, X-Ray Computed ; Software ; Neuroimaging
    Language English
    Publishing date 2023-11-25
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1131675-5
    ISSN 1532-8511 ; 1052-3057
    ISSN (online) 1532-8511
    ISSN 1052-3057
    DOI 10.1016/j.jstrokecerebrovasdis.2023.107512
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Accuracy of artificial intelligence software for CT angiography in stroke.

    Mair, Grant / White, Philip / Bath, Philip M / Muir, Keith / Martin, Chloe / Dye, David / Chappell, Francesca / von Kummer, Rüdiger / Macleod, Malcolm / Sprigg, Nikola / Wardlaw, Joanna M

    Annals of clinical and translational neurology

    2023  Volume 10, Issue 7, Page(s) 1072–1082

    Abstract: Objective: Software developed using artificial intelligence may automatically identify arterial occlusion and provide collateral vessel scoring on CT angiography (CTA) performed acutely for ischemic stroke. We aimed to assess the diagnostic accuracy of ... ...

    Abstract Objective: Software developed using artificial intelligence may automatically identify arterial occlusion and provide collateral vessel scoring on CT angiography (CTA) performed acutely for ischemic stroke. We aimed to assess the diagnostic accuracy of e-CTA by Brainomix™ Ltd by large-scale independent testing using expert reading as the reference standard.
    Methods: We identified a large clinically representative sample of baseline CTA from 6 studies that recruited patients with acute stroke symptoms involving any arterial territory. We compared e-CTA results with masked expert interpretation of the same scans for the presence and location of laterality-matched arterial occlusion and/or abnormal collateral score combined into a single measure of arterial abnormality. We tested the diagnostic accuracy of e-CTA for identifying any arterial abnormality (and in a sensitivity analysis compliant with the manufacturer's guidance that software only be used to assess the anterior circulation).
    Results: We include CTA from 668 patients (50% female; median: age 71 years, NIHSS 9, 2.3 h from stroke onset). Experts identified arterial occlusion in 365 patients (55%); most (343, 94%) involved the anterior circulation. Software successfully processed 545/668 (82%) CTAs. The sensitivity, specificity and diagnostic accuracy of e-CTA for detecting arterial abnormality were each 72% (95% CI = 66-77%). Diagnostic accuracy was non-significantly improved in a sensitivity analysis excluding occlusions from outside the anterior circulation (76%, 95% CI = 72-80%).
    Interpretation: Compared to experts, the diagnostic accuracy of e-CTA for identifying acute arterial abnormality was 72-76%. Users of e-CTA should be competent in CTA interpretation to ensure all potential thrombectomy candidates are identified.
    MeSH term(s) Humans ; Female ; Aged ; Male ; Computed Tomography Angiography/methods ; Artificial Intelligence ; Cerebral Angiography/methods ; Stroke/diagnostic imaging ; Software ; Arterial Occlusive Diseases
    Language English
    Publishing date 2023-05-19
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2740696-9
    ISSN 2328-9503 ; 2328-9503
    ISSN (online) 2328-9503
    ISSN 2328-9503
    DOI 10.1002/acn3.51790
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Neuropsychiatric symptoms as a sign of small vessel disease progression in cognitive impairment

    Una Clancy / Joel Ramirez / Francesca M. Chappell / Fergus N. Doubal / Joanna M. Wardlaw / Sandra E. Black

    Cerebral Circulation - Cognition and Behavior, Vol 3, Iss , Pp 100041- (2022)

    2022  

    Abstract: Background: Neuropsychiatric symptoms associate cross-sectionally with cerebral small vessel disease but it is not clear whether these symptoms could act as early clinical markers of small vessel disease progression. We investigated whether longitudinal ... ...

    Abstract Background: Neuropsychiatric symptoms associate cross-sectionally with cerebral small vessel disease but it is not clear whether these symptoms could act as early clinical markers of small vessel disease progression. We investigated whether longitudinal change in Neuropsychiatric Inventory (NPI) scores associated with white matter hyperintensity (WMH) progression in a memory clinic population. Material and methods: We included participants from the prospective Sunnybrook Dementia Study with Alzheimer's disease and vascular subtypes of mild cognitive impairment and dementia with two MRI and ≥ 1 NPI. We conducted linear mixed-effects analyses, adjusting for age, atrophy, vascular risk factors, cognition, function, and interscan interval. Results: At baseline (n=124), greater atrophy, age, vascular risk factors and total NPI score were associated with higher baseline WMH volume, while longitudinally, all but vascular risk factors were associated. Change in total NPI score was associated with change in WMH volume, χ2 = 7.18, p = 0.007, whereby a one-point change in NPI score from baseline to follow-up was associated with a 0.0017 change in normalized WMH volume [expressed as cube root of (WMH volume cm³ as % intracranial volume)], after adjusting for age, atrophy, vascular risk factors and interscan interval. Conclusions: In memory clinic patients, WMH progression over 1–2 years associated with worsening neuropsychiatric symptoms, while WMH volume remained unchanged in those with stable NPI scores in this population with low background WMH burden.
    Keywords Cerebral small vessel disease ; White matter hyperintensities ; Cognitive dysfunction ; Dementia ; Neurobehavioral Manifestations ; Longitudinal studies ; Specialties of internal medicine ; RC581-951 ; Neurosciences. Biological psychiatry. Neuropsychiatry ; RC321-571
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Predicting incident dementia in cerebral small vessel disease: comparison of machine learning and traditional statistical models.

    Li, Rui / Harshfield, Eric L / Bell, Steven / Burkhart, Michael / Tuladhar, Anil M / Hilal, Saima / Tozer, Daniel J / Chappell, Francesca M / Makin, Stephen D J / Lo, Jessica W / Wardlaw, Joanna M / de Leeuw, Frank-Erik / Chen, Christopher / Kourtzi, Zoe / Markus, Hugh S

    Cerebral circulation - cognition and behavior

    2023  Volume 5, Page(s) 100179

    Abstract: Background: Cerebral small vessel disease (SVD) contributes to 45% of dementia cases worldwide, yet we lack a reliable model for predicting dementia in SVD. Past attempts largely relied on traditional statistical approaches. Here, we investigated ... ...

    Abstract Background: Cerebral small vessel disease (SVD) contributes to 45% of dementia cases worldwide, yet we lack a reliable model for predicting dementia in SVD. Past attempts largely relied on traditional statistical approaches. Here, we investigated whether machine learning (ML) methods improved prediction of incident dementia in SVD from baseline SVD-related features over traditional statistical methods.
    Methods: We included three cohorts with varying SVD severity (RUN DMC,
    Results: We included 789 participants without missing data in the survival analysis, amongst whom 108 (13.7%) developed dementia during a median follow-up of 5.4 years. Excluding those censored before three years, we included 750 participants in the classification analysis, amongst whom 48 (6.4%) developed dementia by year 3. Comparing statistical and ML models, only regularised Cox/logistic regression outperformed their statistical counterparts overall, but not significantly so in survival analysis. Baseline cognition was highly predictive, and global cognition was the most important feature.
    Conclusions: When using baseline SVD-related features to predict dementia in SVD, the ML survival or classification models we evaluated brought little improvement over traditional statistical approaches. The benefits of ML should be evaluated with caution, especially given limited sample size and features.
    Language English
    Publishing date 2023-08-09
    Publishing country Netherlands
    Document type Journal Article
    ISSN 2666-2450
    ISSN (online) 2666-2450
    DOI 10.1016/j.cccb.2023.100179
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Detectability and accuracy of computational measurements of in-silico and physical representations of enlarged perivascular spaces from magnetic resonance images.

    Duarte Coello, Roberto / Valdés Hernández, Maria Del C / Zwanenburg, Jaco J M / van der Velden, Moniek / Kuijf, Hugo J / De Luca, Alberto / Moyano, José Bernal / Ballerini, Lucia / Chappell, Francesca M / Brown, Rosalind / Jan Biessels, Geert / Wardlaw, Joanna M

    Journal of neuroscience methods

    2023  Volume 403, Page(s) 110039

    Abstract: Background: Magnetic Resonance Imaging (MRI) visible perivascular spaces (PVS) have been associated with age, decline in cognitive abilities, interrupted sleep, and markers of small vessel disease. But the limits of validity of their quantification have ...

    Abstract Background: Magnetic Resonance Imaging (MRI) visible perivascular spaces (PVS) have been associated with age, decline in cognitive abilities, interrupted sleep, and markers of small vessel disease. But the limits of validity of their quantification have not been established.
    New method: We use a purpose-built digital reference object to construct an in-silico phantom for addressing this need, and validate it using a physical phantom. We use cylinders of different sizes as models for PVS. We also evaluate the influence of 'PVS' orientation, and different sets of parameters of the two vesselness filters that have been used for enhancing tubular structures, namely Frangi and RORPO filters, in the measurements' accuracy.
    Results: PVS measurements in MRI are only a proxy of their true dimensions, as the boundaries of their representation are consistently overestimated. The success in the use of the Frangi filter relies on a careful tuning of several parameters. Alpha= 0.5, beta= 0.5 and c= 500 yielded the best results. RORPO does not have these requirements and allows detecting smaller cylinders in their entirety more consistently in the absence of noise and confounding artefacts. The Frangi filter seems to be best suited for voxel sizes equal or larger than 0.4 mm-isotropic and cylinders larger than 1 mm diameter and 2 mm length. 'PVS' orientation did not affect measurements in data with isotropic voxels.
    Comparison with existent methods: Does not apply.
    Conclusions: The in-silico and physical phantoms presented are useful for establishing the validity of quantification methods of tubular small structures.
    MeSH term(s) Magnetic Resonance Imaging/methods ; Cognition
    Language English
    Publishing date 2023-12-20
    Publishing country Netherlands
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 282721-9
    ISSN 1872-678X ; 0165-0270
    ISSN (online) 1872-678X
    ISSN 0165-0270
    DOI 10.1016/j.jneumeth.2023.110039
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Magnetic Resonance Imaging Tissue Signatures Associated With White Matter Changes Due to Sporadic Cerebral Small Vessel Disease Indicate That White Matter Hyperintensities Can Regress.

    Jochems, Angela C C / Muñoz Maniega, Susana / Clancy, Una / Arteaga, Carmen / Jaime Garcia, Daniela / Chappell, Francesca M / Hewins, Will / Locherty, Rachel / Backhouse, Ellen V / Barclay, Gayle / Jardine, Charlotte / McIntyre, Donna / Gerrish, Iona / Kampaite, Agniete / Sakka, Eleni / Valdés Hernández, Maria / Wiseman, Stewart / Bastin, Mark E / Stringer, Michael S /
    Thrippleton, Michael J / Doubal, Fergus N / Wardlaw, Joanna M

    Journal of the American Heart Association

    2024  Volume 13, Issue 3, Page(s) e032259

    Abstract: Background: White matter hyperintensities (WMHs) might regress and progress contemporaneously, but we know little about underlying mechanisms. We examined WMH change and underlying quantitative magnetic resonance imaging tissue measures over 1 year in ... ...

    Abstract Background: White matter hyperintensities (WMHs) might regress and progress contemporaneously, but we know little about underlying mechanisms. We examined WMH change and underlying quantitative magnetic resonance imaging tissue measures over 1 year in patients with minor ischemic stroke with sporadic cerebral small vessel disease.
    Methods and results: We defined areas of stable normal-appearing white matter, stable WMHs, progressing and regressing WMHs based on baseline and 1-year brain magnetic resonance imaging. In these areas we assessed tissue characteristics with quantitative T1, fractional anisotropy (FA), mean diffusivity (MD), and neurite orientation dispersion and density imaging (baseline only). We compared tissue signatures cross-sectionally between areas, and longitudinally within each area. WMH change masks were available for N=197. Participants' mean age was 65.61 years (SD, 11.10), 59% had a lacunar infarct, and 68% were men. FA and MD were available for N=195, quantitative T1 for N=182, and neurite orientation dispersion and density imaging for N=174. Cross-sectionally, all 4 tissue classes differed for FA, MD, T1, and Neurite Density Index. Longitudinally, in regressing WMHs, FA increased with little change in MD and T1 (difference estimate, 0.011 [95% CI, 0.006-0.017]; -0.002 [95% CI, -0.008 to 0.003] and -0.003 [95% CI, -0.009 to 0.004]); in progressing and stable WMHs, FA decreased (-0.022 [95% CI, -0.027 to -0.017] and -0.009 [95% CI, -0.011 to -0.006]), whereas MD and T1 increased (progressing WMHs, 0.057 [95% CI, 0.050-0.063], 0.058 [95% CI, 0.050 -0.066]; stable WMHs, 0.054 [95% CI, 0.045-0.063], 0.049 [95% CI, 0.039-0.058]); and in stable normal-appearing white matter, MD increased (0.004 [95% CI, 0.003-0.005]), whereas FA and T1 slightly decreased and increased (-0.002 [95% CI, -0.004 to -0.000] and 0.005 [95% CI, 0.001-0.009]).
    Conclusions: Quantitative magnetic resonance imaging shows that WMHs that regress have less abnormal microstructure at baseline than stable WMHs and follow trajectories indicating tissue improvement compared with stable and progressing WMHs.
    MeSH term(s) Male ; Humans ; Aged ; Female ; White Matter/diagnostic imaging ; White Matter/pathology ; Magnetic Resonance Imaging/methods ; Brain/diagnostic imaging ; Brain/pathology ; Diffusion Magnetic Resonance Imaging ; Cerebral Small Vessel Diseases/diagnostic imaging
    Language English
    Publishing date 2024-01-31
    Publishing country England
    Document type Journal Article
    ZDB-ID 2653953-6
    ISSN 2047-9980 ; 2047-9980
    ISSN (online) 2047-9980
    ISSN 2047-9980
    DOI 10.1161/JAHA.123.032259
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  10. Article ; Online: Blood-brain barrier leakage hotspots collocating with brain lesions due to sporadic and monogenic small vessel disease.

    Rudilosso, Salvatore / Stringer, Michael S / Thrippleton, Michael / Chappell, Francesca / Blair, Gordon W / Jaime Garcia, Daniela / Doubal, Fergus / Hamilton, Iona / Janssen, Esther / Kopczak, Anna / Ingrisch, Michael / Kerkhofs, Danielle / Backes, Walter H / Staals, Julie / Duering, Marco / Dichgans, Martin / Wardlaw, Joanna M

    Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism

    2023  Volume 43, Issue 9, Page(s) 1490–1502

    Abstract: Blood-brain barrier (BBB) is known to be impaired in cerebral small vessel disease (SVD), and is measurable by dynamic-contrast enhancement (DCE)-MRI. In a cohort of 69 patients (42 sporadic, 27 monogenic SVD), who underwent 3T MRI, including DCE and ... ...

    Abstract Blood-brain barrier (BBB) is known to be impaired in cerebral small vessel disease (SVD), and is measurable by dynamic-contrast enhancement (DCE)-MRI. In a cohort of 69 patients (42 sporadic, 27 monogenic SVD), who underwent 3T MRI, including DCE and cerebrovascular reactivity (CVR) sequences, we assessed the relationship of BBB-leakage hotspots to SVD lesions (lacunes, white matter hyperintensities (WMH), and microbleeds). We defined as hotspots the regions with permeability surface area product highest decile on DCE-derived maps within the white matter. We assessed factors associated with the presence and number of hotspots corresponding to SVD lesions in multivariable regression models adjusted for age, WMH volume, number of lacunes, and SVD type. We identified hotspots at lacune edges in 29/46 (63%) patients with lacunes, within WMH in 26/60 (43%) and at the WMH edges in 34/60 (57%) patients with WMH, and microbleed edges in 4/11 (36%) patients with microbleeds. In adjusted analysis, lower WMH-CVR was associated with presence and number of hotspots at lacune edges, and higher WMH volume with hotspots within WMH and at WMH edges, independently of the SVD type. In conclusion, SVD lesions frequently collocate with high BBB-leakage in patients with sporadic and monogenic forms of SVD.
    MeSH term(s) Humans ; Blood-Brain Barrier/pathology ; Magnetic Resonance Imaging ; Cerebral Small Vessel Diseases/diagnostic imaging ; Cerebral Small Vessel Diseases/genetics ; Cerebral Small Vessel Diseases/complications ; White Matter/pathology ; Cerebral Hemorrhage/pathology
    Language English
    Publishing date 2023-05-03
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 604628-9
    ISSN 1559-7016 ; 0271-678X
    ISSN (online) 1559-7016
    ISSN 0271-678X
    DOI 10.1177/0271678X231173444
    Database MEDical Literature Analysis and Retrieval System OnLINE

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