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Bullseye's representation of cerebral white matter hyperintensities.
Sudre, C H; Gomez Anson, B; Davagnanam, I; Schmitt, A; Mendelson, A F; Prados, F; Smith, L; Atkinson, D; Hughes, A D; Chaturvedi, N; Cardoso, M J; Barkhof, F; Jaeger, H R; Ourselin, S.
Afiliação
  • Sudre CH; Translational Imaging Group, CMIC, Department of Medical Physics and Biomedical Engineering, University College London, Room 8.04 8th floor Malet Place Engineering Building, 2, Malet Place, WC1E 7JE London, UK; Dementia Research Centre, UCL Institute of Neurology, WC1N 3BG London, UK. Electronic add
  • Gomez Anson B; Santa Creu i Sant Pau Hospital, Universitat Autonòma Barcelona, 08041 Barcelona, Spain. Electronic address: b.gomeza@santpau.cat.
  • Davagnanam I; Lysholm Department of Neuroradiology, The National Hospital for Neurology and Neurosurgery, Queen Square, WCN1 3BG London, UK; Brain Repair and Rehabilitation, UCL Institute of Neurology, WC1N 3BG London, UK. Electronic address: i.davagnanam@ucl.ac.uk.
  • Schmitt A; Lysholm Department of Neuroradiology, The National Hospital for Neurology and Neurosurgery, Queen Square, WCN1 3BG London, UK. Electronic address: nnschmitt@gmail.com.
  • Mendelson AF; Translational Imaging Group, CMIC, Department of Medical Physics and Biomedical Engineering, University College London, Room 8.04 8th floor Malet Place Engineering Building, 2, Malet Place, WC1E 7JE London, UK. Electronic address: alexander.mendelson.11@ucl.ac.uk.
  • Prados F; Translational Imaging Group, CMIC, Department of Medical Physics and Biomedical Engineering, University College London, Room 8.04 8th floor Malet Place Engineering Building, 2, Malet Place, WC1E 7JE London, UK. Electronic address: f.carrasco@ucl.ac.uk.
  • Smith L; Cardiometabolic Phenotyping Group, UCL Institute of Cardiovascular Science, W1CE 6HX London, UK. Electronic address: lorna.smith@ucl.ac.uk.
  • Atkinson D; Centre for Medical Imaging, UCL Faculty of Medical Science, NW1 2PG London, UK. Electronic address: d.atkinson@ucl.ac.uk.
  • Hughes AD; Cardiometabolic Phenotyping Group, UCL Institute of Cardiovascular Science, W1CE 6HX London, UK. Electronic address: a.hughes@ucl.ac.uk.
  • Chaturvedi N; Cardiometabolic Phenotyping Group, UCL Institute of Cardiovascular Science, W1CE 6HX London, UK. Electronic address: n.chaturvedi@ucl.ac.uk.
  • Cardoso MJ; Translational Imaging Group, CMIC, Department of Medical Physics and Biomedical Engineering, University College London, Room 8.04 8th floor Malet Place Engineering Building, 2, Malet Place, WC1E 7JE London, UK; Dementia Research Centre, UCL Institute of Neurology, WC1N 3BG London, UK. Electronic add
  • Barkhof F; Translational Imaging Group, CMIC, Department of Medical Physics and Biomedical Engineering, University College London, Room 8.04 8th floor Malet Place Engineering Building, 2, Malet Place, WC1E 7JE London, UK; Brain Repair and Rehabilitation, UCL Institute of Neurology, WC1N 3BG London, UK. Electro
  • Jaeger HR; Lysholm Department of Neuroradiology, The National Hospital for Neurology and Neurosurgery, Queen Square, WCN1 3BG London, UK; Brain Repair and Rehabilitation, UCL Institute of Neurology, WC1N 3BG London, UK. Electronic address: r.jager@ucl.ac.uk.
  • Ourselin S; Translational Imaging Group, CMIC, Department of Medical Physics and Biomedical Engineering, University College London, Room 8.04 8th floor Malet Place Engineering Building, 2, Malet Place, WC1E 7JE London, UK; Dementia Research Centre, UCL Institute of Neurology, WC1N 3BG London, UK. Electronic add
J Neuroradiol ; 45(2): 114-122, 2018 Mar.
Article em En | MEDLINE | ID: mdl-29132940
ABSTRACT
BACKGROUND AND

PURPOSE:

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. MATERIALS AND

METHODS:

3D T1-weighted, T2-weighted spin-echo and FLAIR images were acquired on a 3T 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.

RESULTS:

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]).

CONCLUSION:

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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Imageamento por Ressonância Magnética / Leucoaraiose Tipo de estudo: Prognostic_studies Limite: Aged / Female / Humans / Male Idioma: En Revista: J Neuroradiol Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Imageamento por Ressonância Magnética / Leucoaraiose Tipo de estudo: Prognostic_studies Limite: Aged / Female / Humans / Male Idioma: En Revista: J Neuroradiol Ano de publicação: 2018 Tipo de documento: Article
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