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Automated quantitative MRI volumetry reports support diagnostic interpretation in dementia: a multi-rater, clinical accuracy study.
Pemberton, Hugh G; Goodkin, Olivia; Prados, Ferran; Das, Ravi K; Vos, Sjoerd B; Moggridge, James; Coath, William; Gordon, Elizabeth; Barrett, Ryan; Schmitt, Anne; Whiteley-Jones, Hefina; Burd, Christian; Wattjes, Mike P; Haller, Sven; Vernooij, Meike W; Harper, Lorna; Fox, Nick C; Paterson, Ross W; Schott, Jonathan M; Bisdas, Sotirios; White, Mark; Ourselin, Sebastien; Thornton, John S; Yousry, Tarek A; Cardoso, M Jorge; Barkhof, Frederik.
Afiliação
  • Pemberton HG; Centre for Medical Image Computing (CMIC), Department of Medical Physics and Bioengineering, University College London, London, UK. h.pemberton@ucl.ac.uk.
  • Goodkin O; Neuroradiological Academic Unit, UCL Queen Square Institute of Neurology, University College London, London, UK. h.pemberton@ucl.ac.uk.
  • Prados F; Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK. h.pemberton@ucl.ac.uk.
  • Das RK; Centre for Medical Image Computing (CMIC), Department of Medical Physics and Bioengineering, University College London, London, UK.
  • Vos SB; Neuroradiological Academic Unit, UCL Queen Square Institute of Neurology, University College London, London, UK.
  • Moggridge J; Centre for Medical Image Computing (CMIC), Department of Medical Physics and Bioengineering, University College London, London, UK.
  • Coath W; Universitat Oberta de Catalunya, Barcelona, Spain.
  • Gordon E; Clinical, Educational and Health Psychology, University College London, London, UK.
  • Barrett R; Centre for Medical Image Computing (CMIC), Department of Medical Physics and Bioengineering, University College London, London, UK.
  • Schmitt A; Neuroradiological Academic Unit, UCL Queen Square Institute of Neurology, University College London, London, UK.
  • Whiteley-Jones H; Neuroradiological Academic Unit, UCL Queen Square Institute of Neurology, University College London, London, UK.
  • Burd C; Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, UCLH NHS Foundation Trust, London, UK.
  • Wattjes MP; Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK.
  • Haller S; Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK.
  • Vernooij MW; Department of Neuroradiology, Brighton and Sussex University Hospitals, Brighton, UK.
  • Harper L; Neuroradiological Academic Unit, UCL Queen Square Institute of Neurology, University College London, London, UK.
  • Fox NC; Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, UCLH NHS Foundation Trust, London, UK.
  • Paterson RW; Department of Neuroradiology, Brighton and Sussex University Hospitals, Brighton, UK.
  • Schott JM; Guy's and St Thomas' NHS Foundation Trust, London, UK.
  • Bisdas S; Department of Diagnostic and Interventional Neuroradiology, Hannover Medical School, Hannover, Germany.
  • White M; Department of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden.
  • Ourselin S; Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands.
  • Thornton JS; Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands.
  • Yousry TA; Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK.
  • Cardoso MJ; Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK.
  • Barkhof F; Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK.
Eur Radiol ; 31(7): 5312-5323, 2021 Jul.
Article em En | MEDLINE | ID: mdl-33452627
ABSTRACT

OBJECTIVES:

We examined whether providing a quantitative report (QReport) of regional brain volumes improves radiologists' accuracy and confidence in detecting volume loss, and in differentiating Alzheimer's disease (AD) and frontotemporal dementia (FTD), compared with visual assessment alone.

METHODS:

Our forced-choice multi-rater clinical accuracy study used MRI from 16 AD patients, 14 FTD patients, and 15 healthy controls; age range 52-81. Our QReport was presented to raters with regional grey matter volumes plotted as percentiles against data from a normative population (n = 461). Nine raters with varying radiological experience (3 each consultants, registrars, 'non-clinical image analysts') assessed each case twice (with and without the QReport). Raters were blinded to clinical and demographic information; they classified scans as 'normal' or 'abnormal' and if 'abnormal' as 'AD' or 'FTD'.

RESULTS:

The QReport improved sensitivity for detecting volume loss and AD across all raters combined (p = 0.015* and p = 0.002*, respectively). Only the consultant group's accuracy increased significantly when using the QReport (p = 0.02*). Overall, raters' agreement (Cohen's κ) with the 'gold standard' was not significantly affected by the QReport; only the consultant group improved significantly (κs 0.41➔0.55, p = 0.04*). Cronbach's alpha for interrater agreement improved from 0.886 to 0.925, corresponding to an improvement from 'good' to 'excellent'.

CONCLUSION:

Our QReport referencing single-subject results to normative data alongside visual assessment improved sensitivity, accuracy, and interrater agreement for detecting volume loss. The QReport was most effective in the consultants, suggesting that experience is needed to fully benefit from the additional information provided by quantitative analyses. KEY POINTS • The use of quantitative report alongside routine visual MRI assessment improves sensitivity and accuracy for detecting volume loss and AD vs visual assessment alone. • Consultant neuroradiologists' assessment accuracy and agreement (kappa scores) significantly improved with the use of quantitative atrophy reports. • First multi-rater radiological clinical evaluation of visual quantitative MRI atrophy report for use as a diagnostic aid in dementia.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Demência Frontotemporal / Doença de Alzheimer Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Demência Frontotemporal / Doença de Alzheimer Idioma: En Ano de publicação: 2021 Tipo de documento: Article