Evidence map›Paper›PMID 41335377›Full record

ArticleEuropean radiology2026

Cerebral blood flow in a tri-ethnic population: insights from pCASL perfusion MRI.

Rafael Rehwald, Magdalena Sokolska, Carole H Sudre, Lorna Smith, Therese Tillin, David Atkinson, Nishi Chaturvedi, Alun D Hughes, Hans Rolf Jäger

Abstract read
In one paragraph

Article in European radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Rafael RehwaldNeuroradiological Academic Unit, Department of Translational Neuroscience and Stroke, UCL Queen Square Institute of Neurology, London, UK. r.rehwald@ucl.ac.uk.ORCID http://orcid.org/0000-0003-4357-3581
Magdalena SokolskaNeuroradiological Academic Unit, Department of Translational Neuroscience and Stroke, UCL Queen Square Institute of Neurology, London, UK.
Carole H SudreMRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, University College London, London, UK.
Lorna SmithCentre for Medical Imaging, Division of Medicine, University College London, London, UK.
Therese TillinMRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, University College London, London, UK.
David AtkinsonCentre for Medical Imaging, Division of Medicine, University College London, London, UK.
Nishi ChaturvediMRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, University College London, London, UK.
Alun D HughesMRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, University College London, London, UK.
Hans Rolf JägerNeuroradiological Academic Unit, Department of Translational Neuroscience and Stroke, UCL Queen Square Institute of Neurology, London, UK.

Funding

British Heart Foundation CS/13/1/30327
6 · The paper itself

Abstract

objectivesArterial transit artefacts (ATAs) on pseudo-continuous arterial spin labelling (pCASL) MRI represent visual markers of delayed arterial transit. This study aimed to investigate their prevalence and distribution and to evaluate the effects of sex, ethnicity, intracranial arterial anatomy, and cardiovascular parameters in a subgroup of the UK tri-ethnic population-based Southall and Brent REvisited (SABRE) study. MATERIALS AND

methodsWe analysed 360 participants-120 each of White European, South Asian, and African Caribbean origin-from the prospective SABRE cohort who underwent 3.0-T brain MRI and clinical assessment between 2014 and 2018. ATAs were visually rated across 40 predefined brain regions on pCASL perfusion images and summarised as percentage ATA scores. Intracranial arterial anatomy was classified on time-of-flight MR angiography, and cardiovascular parameters were obtained from clinical assessment. ATAs were compared by sex and ethnicity, and associations with demographic, anatomical, and cardiovascular factors were analysed using multivariable regression.

resultsOf 360 participants, 284 (78.89%; mean age 70.12 ± 6.58 years; range 49-89; 139 women) had usable pCASL data. ATA prevalence varied across vascular territories and between women and men. African Caribbean participants showed a higher frequency of ATAs in the posterior circulation, whereas in most anterior territories they had fewer ATAs than White Europeans or South Asians.

conclusionVisual rating of ATAs revealed sex- and ethnicity-specific differences in ATA distribution, reflecting variations in arterial transit time influenced by intracranial vascular anatomy and cardiovascular parameters. These findings highlight the potential of ATAs as imaging markers for personalised cerebrovascular assessment and risk stratification. KEY POINTS: Question Prevalence and distribution of arterial transit artefacts (ATAs) on arterial spin labelling MRI, and their relationship to sex, ethnicity, vascular anatomy, and cardiovascular parameters, have not been systematically investigated. Findings ATAs were most prevalent in African Caribbeans, particularly in MCA-PCA borderzones and PCA territories; no significant differences were found between White Europeans and South Asians. Clinical relevance Visual rating revealed substantial differences in the ATA distribution among ethnic populations, as well as between women and men. Recognising these specific patterns can help distinguish physiological from pathological perfusion, thereby enhancing diagnostic accuracy and treatment planning.

Indexed as

Cerebrovascular CirculationMagnetic Resonance AngiographyAgedAged, 80 and overArtifactsEthnicityFemaleHumansMaleMiddle AgedPerfusion Magnetic Resonance ImagingProspective StudiesSpin LabelsUnited KingdomSpin LabelsArtefactsBrainCerebrovascular circulationEthnicitySpin labels

Identifiers

PMID41335377
PMCPMC13086786

What Socratic holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.