Evidence map›Paper›PMID 42249985›Full record

ArticleNeuroradiology2026

An automated quantitative report for multiple sclerosis using only 3D T2-fluid-attenuated inversion recovery MRI.

Zoe Mendelsohn, Ferran Prados, Giuseppe Pontillo, Olivia Goodkin, Bas Jasperse, Alex Rovira, Matthew Grech-Sollars, Jordan Colman, James Moggridge, Weaam Hamed and 29 more

Abstract read
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In one paragraph

Article in Neuroradiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

39 authors.

Zoe MendelsohnInstitute of Neuroradiology, Charité - University Medicine Berlin, Berlin, Germany. z.mendelsohn@ucl.ac.uk.
Ferran PradosQueen Square Institute of Neurology, University College London, London, United Kingdom.
Giuseppe PontilloQueen Square Institute of Neurology, University College London, London, United Kingdom.
Olivia GoodkinQueen Square Institute of Neurology, University College London, London, United Kingdom.
Bas JasperseMS Center Amsterdam, Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
Alex RoviraSection of Neuroradiology. Department of Radiology, Vall d'Hebron Hospital Universitari, Barcelona, Spain.
Matthew Grech-SollarsLysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, London, United Kingdom.
Jordan ColmanQueen Square Institute of Neurology, University College London, London, United Kingdom.
James MoggridgeQueen Square Institute of Neurology, University College London, London, United Kingdom.
Weaam HamedQueen Square Institute of Neurology, University College London, London, United Kingdom.
Ayodeji IjishakinHawkes Institute, University College London, London, United Kingdom.
Michael A FosterQueen Square Institute of Neurology, University College London, London, United Kingdom.
Nima MahmoudiInstitute of Neuroradiology, Charité - University Medicine Berlin, Berlin, Germany.
Mike P WattjesInstitute of Neuroradiology, Charité - University Medicine Berlin, Berlin, Germany.
Arturo BrunettiDepartment of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy.
Gabriel Gonzalez-EscamillaMovement Disorders, Neurostimulation and Neuroimaging, Johannes Gutenberg University Mainz, Mainz, Germany.
Sergiu GroppaMovement Disorders, Neurostimulation and Neuroimaging, Johannes Gutenberg University Mainz, Mainz, Germany.
Einar August HøgestølDepartment of Neurology, Oslo University Hospital, Oslo, Norway.
Lars T WestlyeDepartment of Psychology, University of Oslo, Oslo, Norway.
Jacqueline PalaceNuffield Department of Clinical Neurosciences, Medical Sciences Division, University of Oxford, Oxford, United Kingdom.
Silvia MessinaNuffield Department of Clinical Neurosciences, Medical Sciences Division, University of Oxford, Oxford, United Kingdom.
Rosa CorteseDepartment of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy.
Nicola De StefanoDepartment of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy.
Jaume Sastre-GarrigaSection of Neuroradiology. Department of Radiology, Vall d'Hebron Hospital Universitari, Barcelona, Spain.
Stefan RopeleDepartment of Neurology, Medical University of Graz, Graz, Austria.
Christian EnzingerDepartment of Neurology, Medical University of Graz, Graz, Austria.
Maria A RoccaNeuroimaging Research Unit, Division of Neuroscience, Vita-Salute San Raffaele University, Milan, Italy.
Massimo FilippiNeurology Unit, Neurorehabilitation Unit, Neurophysiology Service, and Neuroimaging Research Unit, Division of Neuroscience, Vita-Salute San Raffaele University, Milan, Italy.
Jeremy ChatawayQueen Square Institute of Neurology, University College London, London, United Kingdom.
Charles WadeQueen Square Institute of Neurology, University College London, London, United Kingdom.
Ahmed ToosyQueen Square Institute of Neurology, University College London, London, United Kingdom.
Olga CiccarelliQueen Square Institute of Neurology, University College London, London, United Kingdom.
Hugh PembertonQueen Square Institute of Neurology, University College London, London, United Kingdom.
James H ColeHawkes Institute, University College London, London, United Kingdom.
Michael ScheelInstitute of Neuroradiology, Charité - University Medicine Berlin, Berlin, Germany.
Jawed NawabiInstitute of Neuroradiology, Charité - University Medicine Berlin, Berlin, Germany.
Tarek YousryQueen Square Institute of Neurology, University College London, London, United Kingdom.
John ThorntonQueen Square Institute of Neurology, University College London, London, United Kingdom.
Frederik BarkhofQueen Square Institute of Neurology, University College London, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAutomated tools quantifying multiple sclerosis (MS) imaging biomarkers often require non-routine MRI sequences and lack MS reference data. We developed an open-source quantitative report (QReport) that integrates validated 3D T2-FLAIR quantification methods with multi-centre MS and healthy reference models, and presents outputs in a structured graphical report to support contextualised interpretation of clinically relevant biomarkers.

methods2516 cross-sectional 3D T2-FLAIR scans from people with MS (pwMS) and healthy controls (HC) were retrospectively collected from 14 centres within Magnetic Resonance Imaging in MS (MAGNIMS) and affiliated sites, as well as open-source datasets. Validated T2-FLAIR-based algorithms quantified total and regional lesion count (LC), lesion volume (LV), brain volume (BV), and brain age gap estimation (BrainAGE). Distributions in pwMS and HC were estimated using quantile regression. A QReport was designed to present biomarkers and reference models in graphical formats. Four neuroradiologists assessed agreement between QReport outputs and their visual assessment, and evaluated its usefulness, in 22 cases.

resultsWe analysed scans from 1723 HC (age, mean ± SD: 54.5 ± 16.0; range: 18-75; F/M: 949/774) and 793 pwMS (age, mean ± SD: 43.0 ± 11.1; range: 18-75; F/M: 538/255) across 14 centres. The QReport presents single-subject measures contextualised against the 95th, 50th, and 5th percentile distributions in pwMS and HC, and includes BrainAGE. In 94% of evaluations, QReport outputs demonstrated Moderate-to-Complete agreement with visual assessment and were rated as useful in 82%.

conclusionWe developed an MS QReport requiring only 3D T2-FLAIR, integrating validated quantification algorithms and incorporating BrainAGE within a clinically interpretable framework.

Indexed as

Fluid-attenuated inversion recoveryMRIMultiple sclerosisQReportQuantitative report

Identifiers

PMID42249985

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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.