Evidence map›Paper›PMID 33452627›Full record

ArticleEuropean radiology2021

Automated quantitative MRI volumetry reports support diagnostic interpretation in dementia: a multi-rater, clinical accuracy study.

Hugh G Pemberton, Olivia Goodkin, Ferran Prados, Ravi K Das, Sjoerd B Vos, James Moggridge, William Coath, Elizabeth Gordon, Ryan Barrett, Anne Schmitt and 17 more

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in European radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
4.9field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

  1. Pooled it
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  9. Reply.AJNR. American journal of neuroradiology · 2025
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  20. Quantification of amyloid PET for future clinical use: a state-of-the-art review.European journal of nuclear medicine and molecular imaging · 2022
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

27 authors at 10 institutions in 5 countries.

Hugh G Pemberton *Centre for Medical Image Computing (CMIC), Department of Medical Physics and Bioengineering, University College London, London, UK. h.pemberton@ucl.ac.uk.ORCID http://orcid.org/0000-0001-8419-6423
Olivia Goodkin *Centre for Medical Image Computing (CMIC), Department of Medical Physics and Bioengineering, University College London, London, UK.
Ferran PradosCentre for Medical Image Computing (CMIC), Department of Medical Physics and Bioengineering, University College London, London, UK.
Ravi K DasClinical, Educational and Health Psychology, University College London, London, UK.
Sjoerd B VosCentre for Medical Image Computing (CMIC), Department of Medical Physics and Bioengineering, University College London, London, UK.
James MoggridgeNeuroradiological Academic Unit, UCL Queen Square Institute of Neurology, University College London, London, UK.
William CoathDementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK.
Elizabeth GordonDementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK.
Ryan BarrettDepartment of Neuroradiology, Brighton and Sussex University Hospitals, Brighton, UK.
Anne SchmittNeuroradiological Academic Unit, UCL Queen Square Institute of Neurology, University College London, London, UK.
Hefina Whiteley-JonesDepartment of Neuroradiology, Brighton and Sussex University Hospitals, Brighton, UK.
Christian BurdGuy's and St Thomas' NHS Foundation Trust, London, UK.
Mike P WattjesDepartment of Diagnostic and Interventional Neuroradiology, Hannover Medical School, Hannover, Germany.
Sven HallerDepartment of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden.
Meike W VernooijDepartment of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands.
Lorna HarperDementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK.
Nick C FoxDementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK.
Ross W PatersonDementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK.
Jonathan M SchottDementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK.
Sotirios BisdasNeuroradiological Academic Unit, UCL Queen Square Institute of Neurology, University College London, London, UK.
Mark WhiteDigital Services, University College London Hospital, London, UK.
Sebastien OurselinSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
John S ThorntonNeuroradiological Academic Unit, UCL Queen Square Institute of Neurology, University College London, London, UK.
Tarek A YousryNeuroradiological Academic Unit, UCL Queen Square Institute of Neurology, University College London, London, UK.
M Jorge CardosoSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Frederik BarkhofCentre for Medical Image Computing (CMIC), Department of Medical Physics and Bioengineering, University College London, London, UK.
Alzheimer’s Disease Neuroimaging Initiative
National Hospital for Neurology and Neurosurgery · GBUK Dementia Research Institute · GBKing's College London · GBErasmus MC · NLGuy's and St Thomas' NHS Foundation Trust · GBMedizinische Hochschule Hannover · DEUniversitat Oberta de Catalunya · ESUniversity College Hospital · GBUniversity College London · GBUppsala University · SE

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
Medical Research Council MR/M009106/1NIA NIH HHS U01 AG024904
6 · The paper itself

Abstract

objectivesWe 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.

methodsOur 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'.

resultsThe 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 (κ

conclusionOur 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.

Indexed as

Alzheimer DiseaseFrontotemporal DementiaAgedAged, 80 and overAtrophyGray MatterHumansMagnetic Resonance ImagingMiddle AgedAlzheimer’s diseaseAtrophyFrontotemporal dementiaMagnetic resonance imagingRadiologists

Identifiers

PMID33452627
PMCPMC8213665
OpenAlexW3120237595

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.