Cited by 801Advanced MRI Techniques and ApplicationsAdvanced Neuroimaging Techniques and ApplicationsNeurological diseases and metabolism

Quantitative susceptibility mapping (QSM) as a means to measure brain iron? A post mortem validation study

Open access
Langkammer, Christian, Schweser, Ferdinand, Krebs, Nikolaus, Deistung, Andreas, Goessler, Walter, Scheurer, Eva, Sommer, Karsten, Reishofer, Gernot +4 more·2012·NeuroImage

Abstract

Quantitative susceptibility mapping (QSM) is a novel technique which allows determining the bulk magnetic susceptibility distribution of tissue in vivo from gradient echo magnetic resonance phase images. It is commonly assumed that paramagnetic iron is the predominant source of susceptibility variations in gray matter as many studies have reported a reasonable correlation of magnetic susceptibility with brain iron concentrations in vivo. Instead of performing direct comparisons, however, all these studies used the putative iron concentrations reported in the hallmark study by Hallgren and Sourander (1958) for their analysis. Consequently, the extent to which QSM can serve to reliably assess brain iron levels is not yet fully clear. To provide such information we investigated the relation between bulk tissue magnetic susceptibility and brain iron concentration in unfixed (in situ) post mortem brains of 13 subjects using MRI and inductively coupled plasma mass spectrometry. A strong linear correlation between chemically determined iron concentration and bulk magnetic susceptibility was found in gray matter structures (r=0.84, p<0.001), whereas the correlation coefficient was much lower in white matter (r=0.27, p<0.001). The slope of the overall linear correlation was consistent with theoretical considerations of the magnetism of ferritin supporting that most of the iron in the brain is bound to ferritin proteins. In conclusion, iron is the dominant source of magnetic susceptibility in deep gray matter and can be assessed with QSM. In white matter regions the estimation of iron concentrations by QSM is less accurate and more complex because the counteracting contribution from diamagnetic myelinated neuronal fibers confounds the interpretation.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.neuroimage.2012.05.049

Cites

47 of 47 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Studies at high-field strength show that the confounding effect of myelin on T2* can be accounted for by including frequency information, which is normally discarded.

    “Additionally, studies at high-field strength show that the confounding effect of myelin on T2* can be accounted for by including frequency information, which is normally discarded.51,203,204”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 3

  1. Langkammer C. Krebs N. Goessler W. Scheurer E. Ebner F. Yen K. Fazekas F. Ropele S. Determinants of R2* relaxation in white matter: insights from postmortem analyses Proc. Int. Soc. Magn. Reson. Med. 19 2011 4512
  2. Schweser F. Deistung A. Sommer K. Reichenbach J.R. Disentangling contributions from iron and myelin architecture to brain tissue magnetic susceptibility by using Quantitative Susceptibility Mapping (QSM) Proc. Int. Soc. Magn. Reson. Med. 20 2012 409
  3. Schweser F. Deistung A. Sommer K. Reichenbach J.R. Improved quantitative susceptibility mapping (QSM) with HEIDI Proc. Int. Soc. Magn. Reson. Med. 20 2012 2359

Cited by

Sorted by citations

Authors
Langkammer, C., Schweser, F., Krebs, N., Deistung, A., Goessler, W., Scheurer, E., Sommer, K., Reishofer, G., Yen, K., Fazekas, F., Ropele, S., & Reichenbach, J. R.
Affiliations
  • Medical University of Graz (AT)
  • Jena University Hospital (DE)
  • University of Graz (AT)
  • Heidelberg University (DE)
Corresponding author
Langkammer, Christian
Venue
NeuroImage
Publisher
Elsevier BV
Published
2012-09
Volume
62
Issue
3
Pages
1593-1599
ISSN
1053-8119 (ISSN-L)
OpenAlex
W2150298956
Cited by
801
References
47
Citations by year
2026: 68 · 2025: 77 · 2024: 63 · 2023: 72 · 2022: 77 · 2021: 76 · 2020: 56 · 2019: 46 · 2018: 59 · 2017: 55 · 2016: 51 · 2015: 30 · 2014: 38 · 2013: 24 · 2012: 8
FWCI
24.15
Type
journal article
Language
en
Open access
Locations
  • NeuroImage (publishedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • Universitätsbibliographie, Universität Duisburg-Essen (submittedVersion)
Funders
  • Carl Zeiss Foundation dissertation fellowship
  • German Research Foundation (RE 1123/9-2)
Topics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
  • Life Sciences › Neuroscience › Neurology › Neurological diseases and metabolism
Keywords
quantitative susceptibility mapping, brain iron, magnetic susceptibility, postmortem brain, gray matter, white matter, ferritin, iron content, inductively coupled plasma mass spectrometry
MeSH terms
Adult, Aged, Aged, 80 and over, Autopsy, Brain Chemistry, Brain Mapping, Female, Humans, Image Interpretation, Computer-Assisted, Iron, Magnetic Resonance Imaging, Male, Middle Aged, Spectrophotometry, Atomic

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review