Evidence map›Paper›PMID 40762120›Full record

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

Performance of computed tomography and magnetic resonance morphometry in evaluating brain atrophy in Down syndrome.

Beatriz Sánchez-Moreno, Linda Zhang, Ana Carril Salaberry, Mateus Rozalem-Aranha, Fernando Moldenhauer, Mikael Brudfors, John Ashburner, Parashkev Nachev, Diego Real de Asúa, Bryan A Strange

Abstract read
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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Beatriz Sánchez-MorenoAdult Down Syndrome Unit, Department of Internal Medicine, Hospital Universitario de La Princesa, Universidad Autónoma de Madrid, Madrid, Spain.ORCID 0000-0002-5182-5745
Linda ZhangAlzheimer Disease Research Unit, CIEN Foundation, Queen Sofia Foundation Alzheimer Centre, Madrid, Spain.
Ana Carril SalaberryAdult Down Syndrome Unit, Department of Internal Medicine, Hospital Universitario de La Princesa, Universidad Autónoma de Madrid, Madrid, Spain.
Mateus Rozalem-AranhaNeuroradiology Section, Department of Radiology - Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain.
Fernando MoldenhauerAdult Down Syndrome Unit, Department of Internal Medicine, Hospital Universitario de La Princesa, Universidad Autónoma de Madrid, Madrid, Spain.
Mikael BrudforsNVIDIA Corp, London, UK.
John AshburnerWellcome Centre for Human Neuroimaging, University College London, London, UK.
Parashkev NachevHigh-Dimensional Neurology Group, University College London Queen Square Institute of Neurology, London, UK.
Diego Real de AsúaAdult Down Syndrome Unit, Department of Internal Medicine, Hospital Universitario de La Princesa, Universidad Autónoma de Madrid, Madrid, Spain.
Bryan A StrangeAlzheimer Disease Research Unit, CIEN Foundation, Queen Sofia Foundation Alzheimer Centre, Madrid, Spain.

Funding

Alzheimer's Association Research Fellowship AARFD-21-852492Fondation Jérôme Lejeune 2021a/2069Fondo de Investigaciones Sanitarias PI19/00634Spanish Society of Internal Medicine 2018
6 · The paper itself

Abstract

backgroundTo compare the performance of computed tomography (CT) with that of magnetic resonance imaging (MRI) in assessing brain atrophy in Down syndrome (DS).

methodsRetrospective comparison of CT-derived gray and white matter measurements with those obtained by MRI using voxel-based morphometry (VBM) in adults with DS who underwent both scanning modalities with a maximum interval of 1 year. The concordance of both tests was compared across sample quartiles.

resultsEleven of 23 participants had some degree of cognitive decline. When comparing VBM outputs of both imaging techniques, an overlap of voxels negatively correlated with dementia severity was observed in the right temporal lobe. Observed agreement was 92.3% (quadratic-weighted kappa index 0.71) for both gray and white matter. DISCUSSION: CT and MRI analyses showed a similar decrease in brain volume as cognitive decline increased. Our results highlight the potential use of CT in computational neuroanatomy studies of DS. HIGHLIGHTS: Voxel-based morphometry shows that computed tomography (CT) and magnetic resonance imaging (MRI) yield similar brain atrophy patterns in DS. Strong agreement (kappa index 0.71) was found between CT and MRI assessments. CT-identified right temporal lobe volume loss linked to cognitive decline in DS. CT offers a practical, accessible alternative to MRI for brain imaging in DS. Artificial intelligence-based CT analysis enhances neuroimaging for DS with reduced motion issues.

Indexed as

BrainDown SyndromeMagnetic Resonance ImagingTomography, X-Ray ComputedAdultAtrophyFemaleGray MatterHumansMaleMiddle AgedRetrospective StudiesAlzheimer's diseasecomputed tomographyDown syndromemachine learningmagnetic resonance imagingvoxel‐based morphometry

Identifiers

PMID40762120
PMCPMC12322686

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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.