Cortical cerebral blood flow in ageing: effects of haematocrit, sex, ethnicity and diabetes.


Journal

European radiology
ISSN: 1432-1084
Titre abrégé: Eur Radiol
Pays: Germany
ID NLM: 9114774

Informations de publication

Date de publication:
Oct 2019
Historique:
received: 24 07 2018
accepted: 11 02 2019
revised: 24 12 2018
pubmed: 20 3 2019
medline: 18 12 2019
entrez: 20 3 2019
Statut: ppublish

Résumé

Cerebral blood flow (CBF) estimates from arterial spin labelling (ASL) show unexplained variability in older populations. We studied the impact of variation of haematocrit (Hct) on CBF estimates in a tri-ethnic elderly population. Approval for the study was obtained from the Fulham Research Ethics Committee and participants gave written informed consent. Pseudo-continuous arterial spin labelling was performed on 493 subjects (age 55-90) from a tri-ethnic community-based cohort recruited in London. CBF was estimated using a simplified Buxton equation, with and without correction for Hct measured from blood samples. Differences in perfusion were compared, stratified by sex, ethnicity and diabetes. Results of Student's t tests were reported with effect size. Hct adjustment decreased CBF estimates in all categories except white European men. The decrease for women was 2.7 (3.0, 2.4) mL/100 g/min) (mean (95% confidence interval (CI)), p < 0.001 d = 0.38. The effect size differed by ethnicity with estimated mean perfusion in South Asian and African Caribbean women found to be lower by 3.0 (3.6, 2.5) mL/100 g/min, p < 0.001 d = 0.56 and 3.1 (3.6, 2.5) mL/100 g/min), p < 0.001 d = 0.48, respectively. Estimates of perfusion in subjects with diabetes decreased by 1.8 (2.3, 1.4) mL/100 g/min, p < 0.001 d = 0.23) following Hct correction. Correction for individual Hct altered sample frequency distributions of CBF values, especially in women of non-European ethnicity. ASL-derived CBF values in women, non-European ethnicities and individuals with diabetes are overestimated if calculations are not appropriately adjusted for individual Hct. • CBF quantification from ASL using a fixed Hct of 43.5%, as recommended in the ISMRM white paper, may lead to erroneous CBF estimations particularly in non-European and female subjects. • Individually measured Hct values improve the accuracy of CBF estimation and, if these are not available, an adjusted value according to gender, ethnicity or diabetes status should be considered. • Hct-corrected ASL could be potentially important for CBF threshold decision making in the fields of neurodegenerative disease and neuro-oncology.

Identifiants

pubmed: 30887200
doi: 10.1007/s00330-019-06096-w
pii: 10.1007/s00330-019-06096-w
pmc: PMC6719435
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

5549-5558

Subventions

Organisme : British Heart Foundation
ID : CS/13/1/30327
Pays : United Kingdom

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Auteurs

Lorna A Smith (LA)

MRC Unit for Lifelong Health and Ageing, Department of Population Science & Experimental Medicine, University College London, WC1E 6HX, London, UK. lorna.smith.13@ucl.ac.uk.
Centre for Medical Imaging, Division of Medicine, University College London, 2nd Floor, Charles Bell House, 43-45 Foley Street, London, W1W 7TS, UK. lorna.smith.13@ucl.ac.uk.

Andrew Melbourne (A)

School of Biomedical Engineering and Imaging Sciences, King's College London, London, SE1 7EH, UK.
Department of Medical Physics and Biomedical Engineering, University College London, London, NW1 2BU, UK.

David Owen (D)

School of Biomedical Engineering and Imaging Sciences, King's College London, London, SE1 7EH, UK.
Department of Medical Physics and Biomedical Engineering, University College London, London, NW1 2BU, UK.

M Jorge Cardoso (MJ)

School of Biomedical Engineering and Imaging Sciences, King's College London, London, SE1 7EH, UK.
Dementia Research Centre, UCL Institute of Neurology, London, Wc1N 3BG, UK.

Carole H Sudre (CH)

School of Biomedical Engineering and Imaging Sciences, King's College London, London, SE1 7EH, UK.
Department of Medical Physics and Biomedical Engineering, University College London, London, NW1 2BU, UK.
Dementia Research Centre, UCL Institute of Neurology, London, Wc1N 3BG, UK.

Therese Tillin (T)

MRC Unit for Lifelong Health and Ageing, Department of Population Science & Experimental Medicine, University College London, WC1E 6HX, London, UK.

Magdalena Sokolska (M)

Institute of Healthcare Engineering, University College London, London, UK.

David Atkinson (D)

Centre for Medical Imaging, Division of Medicine, University College London, 2nd Floor, Charles Bell House, 43-45 Foley Street, London, W1W 7TS, UK.

Nish Chaturvedi (N)

MRC Unit for Lifelong Health and Ageing, Department of Population Science & Experimental Medicine, University College London, WC1E 6HX, London, UK.

Sebastien Ourselin (S)

School of Biomedical Engineering and Imaging Sciences, King's College London, London, SE1 7EH, UK.

Alun D Hughes (AD)

MRC Unit for Lifelong Health and Ageing, Department of Population Science & Experimental Medicine, University College London, WC1E 6HX, London, UK.

Frederik Barkhof (F)

Department of Medical Physics and Biomedical Engineering, University College London, London, NW1 2BU, UK.
Dementia Research Centre, UCL Institute of Neurology, London, Wc1N 3BG, UK.
Department of Radiology & Nuclear Medicine, VU University Medical Centre, Amsterdam, Netherlands.

H R Jäger (HR)

Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, London, WC1N 3BG, UK.
Lysholm Department of Neuroradiology, The National Hospital for Neurology and Neurosurgery, University College London, London, WCN1 3BG, UK.

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Classifications MeSH