Evidence map›Paper›PMID 40501106›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2025

Ultra-fast MRI for dementia diagnosis and treatment eligibility: A prospective study.

Miguel Rosa-Grilo, Haroon R Chughtai, David L Thomas, Daniel C Alexander, Millie Beament, Christopher R S Belder, H Rolf Jäger, Emma A Lim, Nicholas Magill, Dermot Mallon and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Accelerated 3D MRI for ARIA monitoring in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  2. Article
  3. Ultra-fast MRI for dementia diagnosis and treatment eligibility: A prospective study.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
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

17 authors.

Miguel Rosa-GriloDementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK.
Haroon R ChughtaiUCL Hawkes Institute, University College London, London, UK.
David L ThomasDementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK.
Daniel C AlexanderUCL Hawkes Institute, University College London, London, UK.
Millie BeamentDementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK.
Christopher R S BelderDementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK.
H Rolf JägerNeuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, University College London, London, UK.
Emma A LimDepartment of Imaging, Imperial College Healthcare NHS Trust, London, UK.
Nicholas MagillDepartment of Medical Statistics, London School of Hygiene & Tropical Medicine, London, UK.
Dermot MallonLysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, Queen Square, London, UK.
Jennifer M NicholasDepartment of Medical Statistics, London School of Hygiene & Tropical Medicine, London, UK.
Owen NicholasDepartment of Statistical Science, University College London, London, UK.
Floey UrbanDementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK.
Geoff J M ParkerUCL Hawkes Institute, University College London, London, UK.
Frederik BarkhofUCL Hawkes Institute, University College London, London, UK.
Catherine J MummeryDementia 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.

Funding

Alzheimer's Society Heather Corrie Impact Fund 577 [AS-PG-21-045]Biogen Idec UKRosetrees Trust CF-2022-2/128The National Institute for Health and Care Research University College London Hospitals Biomedical Research Centre
6 · The paper itself

Abstract

introductionMagnetic resonance imaging (MRI) is crucial for dementia diagnosis and a pre-requisite for amyloid-lowering therapies in Alzheimer's disease. Despite guidelines, many patients never undergo MRI due to limited scanner availability. Shorter scan times would reduce costs and patient burden. We developed and tested a fast MRI protocol incorporating highly accelerated sequences.

methodsWe compared blinded neuroradiologist assessments of a fast protocol with the standard-of-care protocol in a prospective real-world study. We estimated agreement coefficients to evaluate reliability.

resultsThe fast protocol cut scan times by 63% and showed non-inferior reliability measures for diagnosis, visual scale ratings, and disease-modifying therapy eligibility assessment. Between scan-type, intra-rater reliability for diagnosis was greater than inter-rater reliability on the standard-of-care protocol (ratio of 1.37, 95% confidence interval: 1.21-1.58). DISCUSSION: This study proposed and applied a way of showing non-inferiority of a highly accelerated dementia protocol. Ultra-fast protocols could improve MRI access and patient equity and support the implementation of disease-modifying therapies. HIGHLIGHTS: The fast dementia protocol with four core sequences reduced acquisition time by 63%. The fast scan showed non-inferior reliability for diagnosis and visual ratings. Assessment for disease-modifying therapy eligibility was similar between scan types. Fast protocols may improve access to magnetic resonance imaging and diagnosis in dementia.

Indexed as

BrainDementiaMagnetic Resonance ImagingAgedAged, 80 and overFemaleHumansMaleProspective StudiesReproducibility of Resultsadvanced parallel imagingAlzheimer's diseasedementia diagnosiseligibility for disease‐modifying therapies in Alzheimer's diseaseMRI acceleration techniquesstructural MRIwave‐CAIPI

Identifiers

PMID40501106
PMCPMC12159316

What OpenQuestion holds

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Registered trials

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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.