Evidence map›Paper›PMID 35736875›Full record

ArticleTomography (Ann Arbor, Mich.)2022

Magnetic Susceptibility Source Separation Solely from Gradient Echo Data: Histological Validation.

Alexey V Dimov, Kelly M Gillen, Thanh D Nguyen, Jerry Kang, Ria Sharma, David Pitt, Susan A Gauthier, Yi Wang

Abstract read
In one paragraph

Article in Tomography (Ann Arbor, Mich.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Reduced myelin contributes to cognitive impairment in patients with monogenic small vessel disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. So You Want to Image Myelin Using MRI: Magnetic Susceptibility Source Separation for Myelin Imaging.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2024
    Review
  16. Article
  17. Article
  18. 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

8 authors.

Alexey V DimovDepartment of Radiology, Weill Cornell Medicine, New York, NY 10065, USA.ORCID 0000-0003-0460-6635
Kelly M GillenDepartment of Radiology, Weill Cornell Medicine, New York, NY 10065, USA.
Thanh D NguyenDepartment of Radiology, Weill Cornell Medicine, New York, NY 10065, USA.
Jerry KangDepartment of Radiology, Weill Cornell Medicine, New York, NY 10065, USA.
Ria SharmaDepartment of Radiology, Weill Cornell Medicine, New York, NY 10065, USA.ORCID 0000-0002-2173-6100
David PittDepartment of Neurology, Yale Medicine, New Haven, CT 06511, USA.
Susan A GauthierDepartment of Neurology, Weill Cornell Medicine, New York, NY 10022, USA.
Yi WangDepartment of Radiology, Weill Cornell Medicine, New York, NY 10065, USA.ORCID 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
Quantitative Mapping of Substantia Nigra Iron in Parkinson's DiseaseR01NS095562 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI SHTILBANS, ALEXANDER, WANG, YI · 2016 to 2022
$3.1M
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
Detection, characterization and treatment of chronic microglial inflammation in established MS lesionsR01NS102267 · NINDS · YALE UNIVERSITY · PI PITT, DAVID · 2017 to 2021
$2.0M
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
Quantitative Susceptibility Mapping (QSM) as a Non-Invasive Imaging Biomarker for Predicting Neurodegeneration in Alzheimer's DiseaseR21AG067466 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI KOVANLIKAYA, ILHAMI, WANG, YI · 2020 to 2020
$466k
Multiple Sclerosis Society RR-1602-07671NCATS NIH HHS UL1 TR001863NIA NIH HHS R21 AG067466NIH HHS R01NS095562NIH HHS R01NS105144NIH HHS R21AG067466NIH HHS S10 OD021782NIH HHS S10OD021782NINDS NIH HHS R01 NS095562NINDS NIH HHS R01 NS102267NINDS NIH HHS R01 NS105144
6 · The paper itself

Abstract

Quantitative susceptibility mapping (QSM) facilitates mapping of the bulk magnetic susceptibility of tissue from the phase of complex gradient echo (GRE) MRI data. QSM phase processing combined with an R2* model of magnitude of multiecho gradient echo data (R2*QSM) allows separation of dia- and para-magnetic components (e.g., myelin and iron) that contribute constructively to R2* value but destructively to the QSM value of a voxel. This R2*QSM technique is validated against quantitative histology—optical density of myelin basic protein and Perls’ iron histological stains of rim and core of 10 ex vivo multiple sclerosis lesions, as well as neighboring normal appearing white matter. We found that R2*QSM source maps are in good qualitative agreement with histology, e.g., showing increased iron concentration at the edge of the rim+ lesions and myelin loss in the lesions’ core. Furthermore, our results indicate statistically significant correlation between paramagnetic and diamagnetic tissue components estimated with R2*QSM and optical densities of Perls’ and MPB stains. These findings provide direct support for the use of R2*QSM magnetic source separation based solely on GRE complex data to characterize MS lesion composition.

Indexed as

Multiple SclerosisWhite MatterHumansImage Interpretation, Computer-AssistedIronMagnetic Resonance ImagingIroniron quantificationmyelin quantificationquantitative susceptibility mappingsusceptibility source separation

Identifiers

PMID35736875
PMCPMC9228115

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.