Evidence map›Paper›PMID 42845575›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Increased subpial cortical lesion detection at 3 tesla using Inversion Recovery Susceptibility Weighted Imaging with Enhanced T2 Weighting (IR-SWIET).

Edward Sizer, Kamso Onyemeh, Amit Kohli, Elle Levit, Chantal Roy-Hewitson, Zoe Brown, Jane Low, Ken Feb, Jiming Zhang, Adam Ulano and 7 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 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

5 · Who and what money

Authors and funding

17 authors.

Edward SizerDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.ORCID 0000-0001-6288-2844
Kamso OnyemehDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Amit KohliDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Elle LevitDepartment of Neurological Sciences, Larner College of Medicine at the University of Vermont, Burlington, VT, USA.
Chantal Roy-HewitsonDepartment of Neurological Sciences, Larner College of Medicine at the University of Vermont, Burlington, VT, USA.
Zoe BrownDepartment of Neurological Sciences, Larner College of Medicine at the University of Vermont, Burlington, VT, USA.
Jane LowDepartment of Neurological Sciences, Larner College of Medicine at the University of Vermont, Burlington, VT, USA.
Ken FebUniversity of California San Diego School of Medicine, San Diego, CA, USA.
Jiming ZhangDepartment of Radiology, Larner College of Medicine at the University of Vermont, University Health Center, Burlington, VT, USA.
Adam UlanoDepartment of Radiology, Larner College of Medicine at the University of Vermont, University Health Center, Burlington, VT, USA.
Francesco La RosaDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.ORCID 0000-0002-9224-4664
Govind NairNational Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA.ORCID 0000-0003-3725-615X
Daniel S ReichNational Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA.ORCID 0000-0002-2628-4334
Russell T ShinoharaPenn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology and Informatics, and Center for AI and Data Science for Integrated Diagnostics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.ORCID 0000-0001-8627-8203
Sarah A MorrowDepartment of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada.
Andrew J SolomonDepartment of Neurological Sciences, Larner College of Medicine at the University of Vermont, Burlington, VT, USA.ORCID 0000-0003-1602-1554
Erin S BeckDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.ORCID 0000-0001-7839-7958

Funding

Multimodal MRI in Multiple SclerosisZIANS003119 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI REICH, DANIEL · 2010 to 2025
$53.4M
Conduits: Mount Sinai Health System Translational Science HubUL1TR004419 · NCATS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Rosalind J Wright · 2022 to 2026
$46.4M
Intramural NIH HHS ZIA NS003119NCATS NIH HHS UL1 TR004419
6 · The paper itself

Abstract

Background: Multiple sclerosis subpial cortical lesions are prevalent and associated with disability but difficult to detect on MRI. Inversion recovery susceptibility weighted imaging with enhanced T Objectives: To assess cortical lesion detection using IR-SWIET and T Methods: Cortical lesions were identified in 20 persons with MS (pwMS) independently on six image sets: T Results: Median subpial lesions identified on MP2RAGE + FLAIR was 0 (interquartile range (IQR) 2) vs 0 with T Conclusions: IR-SWIET, but not T

Indexed as

cortical lesionsmagnetic resonance imagingmultiple sclerosissubpial lesions

Identifiers

PMID42845575
PMCPMC13640836

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.