Bullseye's representation of cerebral white matter hyperintensities
Sudre, Carol H. (Dementia Research Centre, UCL Institute of Neurology, WC1N 3BG London, UK)
Gómez-Ansón, Beatriz (Institut d'Investigació Biomèdica Sant Pau)
Davagnanam, Indran (University College London. Institute of Neurology)
Schmitt, Anne Jutta (Lysholm Department of Neuroradiology, The National Hospital for Neurology and Neurosurgery, Queen Square, WCN1 3BG London, UK)
Mendelson, Alex F. (Translational Imaging Group, University College London, UK)
Prados Carrasco, Ferran (Translational Imaging Group, CMIC, University College London, UK)
Smith, Lorna (Institute of Cardiovascular Science (Londres, Regne Unit))
Atkinson, David (University College London. Centre for Medical Image)
Hughes, Alun D. (Institute of Cardiovascular Science (Londres, Regne Unit))
Chaturvedi, Nish R. (Institute of Cardiovascular Science (Londres, Regne Unit))
Cardoso, jorge Jorge (Dementia Research Centre, UCL Institute of Neurology, London, UK)
Barkhof, Frederik (University College London. Institute of Neurology)
Rolf Jaeger, H. (University College London. Institute of Neurology)
Ourselin, Sebastien (Dementia Research Centre, UCL Institute of Neurology, London, UK)
Universitat Autònoma de Barcelona

Date:	2018
Abstract:	Visual rating scales have limited capacities to depict the regional distribution of cerebral white matter hyperintensities (WMH). We present a regional-zonal volumetric analysis alongside a visualization tool to compare and deconstruct visual rating scales. 3D T1-weighted, T2-weighted spin-echo and FLAIR images were acquired on a 3 T system, from 82 elderly participants in a population-based study. Images were automatically segmented for WMH. Lobar boundaries and distance to ventricular surface were used to define white matter regions. Regional-zonal WMH loads were displayed using bullseye plots. Four raters assessed all images applying three scales. Correlations between visual scales and regional WMH as well as inter and intra-rater variability were assessed. A multinomial ordinal regression model was used to predict scores based on regional volumes and global WMH burdens. On average, the bullseye plot depicted a right-left symmetry in the distribution and concentration of damage in the periventricular zone, especially in frontal regions. WMH loads correlated well with the average visual rating scores (e. g. Kendall's tau [Volume, Scheltens] = 0. 59 CI = [0. 53 0. 62]). Local correlations allowed comparison of loading patterns between scales and between raters. Regional measurements had more predictive power than global WMH burden (e. g. frontal caps prediction with local features: ICC = 0. 67 CI = [0. 53 0. 77], global volume = 0. 50 CI = [0. 32 0. 65], intra-rater = 0. 44 CI = [0. 23 0. 60]). Regional-zonal representation of WMH burden highlights similarities and differences between visual rating scales and raters. The bullseye infographic tool provides a simple visual representation of regional lesion load that can be used for rater calibration and training.
Grants:	European Commission 601055
Note:	Altres ajuts: Carole H. Sudre is funded by the Wolfson Foundation , UCL Faculty of EngineeringMRC (MR/M023664/1), EPSRC (EP/M020533/1), the NIHR Biomedical Research Centre (BRC345/NS/SB/101410) and Alzheimer's Society(AS-JF-17-011). Sebastien Ourselin receives funding from the EPSRC (EP/H046410/1, EP/J020990/1, EP/K005278), the MRC (MR/J01107X/1), the EU-FP7 project VPH-DARE@IT (FP7-ICT-2011-9-601055), the NIHR Biomedical Research Unit (Dementia) at UCL and the National Institute for Health Research University College London Hospitals Biomedical Research Centre (NIHR BRC UCLH/UCL High Impact Initiative-BW.mn.BRC10269). Ferran Prados is funded by the National Institute for Health Research College London Hospitals Biomedical Research Centre (NIHR BRC UCLH/UCL High Impact Initiative) and is a Guarantors of Brain fellow. Indran Davagnanam receives support from the NIHR UCLH/UCL BRC. The Dementia Research Centre is supported by Alzheimer's Research UK, Brain Research Trust, and The Wolfson Foundation. M. Jorge Cardoso receives funding from EPSRC (EP/H046410/1). The SABRE study was funded at baseline by the UK Medical Research Council, Diabetes UK and the British Heart Foundation, and at follow-up by the Wellcome Trust (WT082464), British Heart Foundation (SP/07/001/23603 and CS/13/1/30327) and Diabetes UK (13/0004774).
Rights:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Language:	Anglès
Document:	Article ; recerca ; Versió publicada
Subject:	White matter hyper intensities ; Visual rating scales ; Magnetic resonance imaging ; Location ; Ageing ; BG, basal ganglia ; CI, confidence Interval ; FLAIR, fluid attenuated inversion recovery ; ICC, intraclass correlation ; IQR, interquartile range ; IT, infratentorial regions ; JC, juxtacortical ; K, Kendall's tau ; MR, magnetic resonance ; PV, periventricular ; SD, standard deviation ; WMH, white matter hyperintensities
Published in:	Journal of Neuroradiology. Journal De Neuroradiologie, Vol. 45 (march 2018) , p. 114-122

DOI: 10.1016/j.neurad.2017.10.001
PMID: 29132940

9 p, 634.6 KB

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Research literature > UAB research groups literature > Research Centres and Groups (research output) > Health sciences and biosciences > Institut de Recerca Sant Pau
Articles > Research articles
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