Evidence map›Paper›PMID 39916751›Full record

ArticleBrain communications2025

Quantitative susceptibility mapping is more sensitive and specific than phase imaging in detecting chronic active multiple sclerosis lesion rims: pathological validation.

Kelly M Gillen, Thanh D Nguyen, Alexey Dimov, Ilhami Kovanlikaya, Ha Manh Luu, Emily Demmon, Daniel M Markowitz, Francesca Bagnato, David Pitt, Susan A Gauthier and 1 more

Abstract read
In one paragraph

Article in Brain communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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  10. TJournal of neuroimaging : official journal of the American Society of Neuroimaging
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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

11 authors.

Kelly M GillenDepartment of Radiology, Weill Cornell Medicine, New York, NY 10065, USA.ORCID https://orcid.org/0000-0003-1319-4900
Thanh D NguyenDepartment of Radiology, Weill Cornell Medicine, New York, NY 10065, USA.
Alexey DimovDepartment of Radiology, Weill Cornell Medicine, New York, NY 10065, USA.
Ilhami KovanlikayaDepartment of Radiology, Weill Cornell Medicine, New York, NY 10065, USA.
Ha Manh LuuDepartment of Radiology, Weill Cornell Medicine, New York, NY 10065, USA.
Emily DemmonDepartment of Neurology, Weill Cornell Medicine, New York, NY 10065, USA.
Daniel M MarkowitzDepartment of Radiology, Weill Cornell Medicine, New York, NY 10065, USA.
Francesca BagnatoDepartment of Neurology, Nashville VA Medical Center, Tennessee Valley Healthcare System, Nashville, TN 37212, USA.ORCID https://orcid.org/0000-0001-9544-9019
David PittDepartment of Neurology, Yale School of Medicine, New Haven, CT 06511, USA.
Susan A GauthierDepartment of Neurology, Weill Cornell Medicine, New York, NY 10065, USA.ORCID https://orcid.org/0000-0002-4015-1781
Yi WangDepartment of Radiology, Weill Cornell Medicine, New York, NY 10065, USA.ORCID https://orcid.org/0000-0003-1404-8526

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
No-Gd MRI for Monitoring Disease Status in Multiple SclerosisR01NS105144 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI GAUTHIER, SUSAN A, GUPTA, AJAY · 2018 to 2022
$2.8M
Multiple Sclerosis Lesion Magnetic Susceptibility ActivityR01NS090464 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI WANG, YI · 2015 to 2020
$2.3M
3.0T Magnetic Resonance Imaging System for Preclinical, Translational and Clinical ResearchS10OD021782 · OD · WEILL MEDICAL COLL OF CORNELL UNIV · PI WANG, YI · 2016 to 2016
$2.0M
NCATS NIH HHS UL1 TR001863NIH HHS S10 OD021782NINDS NIH HHS R01 NS090464NINDS NIH HHS R01 NS105144
6 · The paper itself

Abstract

Quantitative susceptibility mapping and phase imaging are used to identify multiple sclerosis lesions with paramagnetic rims that slowly expand over time and are associated with earlier progression to disability, decreased brain volume and increased frequency of clinical relapse. However, the presence of iron-laden microglia/macrophages at the lesion rim and demyelination within the lesion both contribute to phase and quantitative susceptibility mapping images. Therefore, simultaneous pathological validation is needed to assess accuracies in identifying iron-positive lesions. MRI was performed on 15 multiple sclerosis brain slabs; 32 lesions of interest were processed for myelin, iron and microglial markers. Three experienced readers classified lesions as rim positive or negative on quantitative susceptibility mapping and phase; these classifications were compared with Perls' stain as the gold standard. All 10 of the quantitative susceptibility mapping-positive lesions had iron-positive rims on histology. Of the 16 phase-positive lesions, only 10 had iron-positive rims on histology. Using Perls' stain as the ground truth, the positive predictive value was 100% for quantitative susceptibility mapping and 63% for phase; the negative predictive value was 95% for quantitative susceptibility mapping and 94% for phase. Post-mortem imaging results demonstrate that quantitative susceptibility mapping is a more reliable indicator of an iron-positive rim compared with phase imaging.

Indexed as

inflammationironmultiple sclerosisphasequantitative susceptibility mapping (QSM)

Identifiers

PMID39916751
PMCPMC11800486

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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.