eprintid: 10119378
rev_number: 22
eprint_status: archive
userid: 608
dir: disk0/10/11/93/78
datestamp: 2021-01-20 11:33:25
lastmod: 2022-08-18 09:02:51
status_changed: 2021-01-20 11:33:25
type: article
metadata_visibility: show
creators_name: Pemberton, HG
creators_name: Goodkin, O
creators_name: Prados, F
creators_name: Das, RK
creators_name: Vos, SB
creators_name: Moggridge, J
creators_name: Coath, W
creators_name: Gordon, E
creators_name: Barrett, R
creators_name: Schmitt, A
creators_name: Whiteley-Jones, H
creators_name: Burd, C
creators_name: Wattjes, MP
creators_name: Haller, S
creators_name: Vernooij, MW
creators_name: Harper, L
creators_name: Fox, NC
creators_name: Paterson, RW
creators_name: Schott, JM
creators_name: Bisdas, S
creators_name: White, M
creators_name: Ourselin, S
creators_name: Thornton, JS
creators_name: Yousry, TA
creators_name: Cardoso, MJ
creators_name: Barkhof, F
creators_name: Alzheimer’s Disease Neuroimaging Initiative, 
title: Automated quantitative MRI volumetry reports support diagnostic interpretation in dementia: a multi-rater, clinical accuracy study
ispublished: inpress
subjects: UCH
divisions: UCL
divisions: B02
divisions: C07
divisions: D05
divisions: F66
divisions: D07
divisions: F82
divisions: F86
divisions: B04
divisions: C05
divisions: F48
divisions: F42
keywords: Alzheimer’s disease, Atrophy, Frontotemporal dementia, Magnetic resonance imaging, Radiologists
note: Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
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.
date: 2021-01-15
date_type: published
official_url: http://dx.doi.org/10.1007/s00330-020-07455-8
oa_status: green
full_text_type: pub
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 1842418
doi: 10.1007/s00330-020-07455-8
pii: 10.1007/s00330-020-07455-8
lyricists_name: Barkhof, Frederik
lyricists_name: Bisdas, Sotirios
lyricists_name: Cardoso, Manuel
lyricists_name: Coath, William
lyricists_name: Das, Ravi
lyricists_name: Fox, Nicholas
lyricists_name: Goodkin, Olivia
lyricists_name: Paterson, Ross
lyricists_name: Pemberton, Hugh
lyricists_name: Prados Carrasco, Ferran
lyricists_name: Schott, Jonathan
lyricists_name: Thornton, John
lyricists_name: Vos, Sjoerd
lyricists_name: Yousry, Tarek
lyricists_id: FBARK32
lyricists_id: SBISD53
lyricists_id: MJMCA47
lyricists_id: WOCOA32
lyricists_id: RDASX57
lyricists_id: NCIFO25
lyricists_id: OGOOD06
lyricists_id: RPATA12
lyricists_id: HGBPE46
lyricists_id: FPRAD65
lyricists_id: JMSCH12
lyricists_id: JSTHO11
lyricists_id: SVOSX19
lyricists_id: TAYOU67
actors_name: Flynn, Bernadette
actors_id: BFFLY94
actors_role: owner
full_text_status: public
publication: European Radiology
event_location: Germany
citation:        Pemberton, HG;    Goodkin, O;    Prados, F;    Das, RK;    Vos, SB;    Moggridge, J;    Coath, W;                                                                                 ... Alzheimer’s Disease Neuroimaging Initiative; + view all <#>        Pemberton, HG;  Goodkin, O;  Prados, F;  Das, RK;  Vos, SB;  Moggridge, J;  Coath, W;  Gordon, E;  Barrett, R;  Schmitt, A;  Whiteley-Jones, H;  Burd, C;  Wattjes, MP;  Haller, S;  Vernooij, MW;  Harper, L;  Fox, NC;  Paterson, RW;  Schott, JM;  Bisdas, S;  White, M;  Ourselin, S;  Thornton, JS;  Yousry, TA;  Cardoso, MJ;  Barkhof, F;  Alzheimer’s Disease Neuroimaging Initiative;   - view fewer <#>    (2021)    Automated quantitative MRI volumetry reports support diagnostic interpretation in dementia: a multi-rater, clinical accuracy study.                   European Radiology        10.1007/s00330-020-07455-8 <https://doi.org/10.1007/s00330-020-07455-8>.    (In press).    Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10119378/1/Pemberton2021_Article_AutomatedQuantitativeMRIVolume.pdf