Evidence map›Paper›PMID 34936923›Full record

ArticleNeuroImage2022

Ironsmith: An automated pipeline for QSM-based data analyses.

Valentinos Zachariou, Christopher E Bauer, David K Powell, Brian T Gold

Abstract read
In one paragraph

Article in NeuroImage, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

4 authors.

Valentinos ZachariouDepartment of Neuroscience, College of Medicine, University of Kentucky, Lexington, KY 40536-0298 United States. Electronic address: vzachari@uky.edu.
Christopher E BauerDepartment of Neuroscience, College of Medicine, University of Kentucky, Lexington, KY 40536-0298 United States.
David K PowellDepartment of Neuroscience, Magnetic Resonance Imaging and Spectroscopy Center, College of Medicine, University of Kentucky, Lexington, KY 40536-0298 United States.
Brian T GoldDepartment of Neuroscience, Sanders-Brown Center on Aging, Magnetic Resonance Imaging and Spectroscopy Center, College of Medicine, University of Kentucky, Lexington, KY 40536-0298 United States. Electronic address: brian.gold@uky.edu.

Funding

University of Kentucky Alzheimer's Disease Research CenterP30AG072946 · NIA · UNIVERSITY OF KENTUCKY · PI LINDA J VAN ELDIK · 2021 to 2026
$23.5M
Identifying Associations between Brain Iron, Neurocognitive Networks and Protective FactorsR01AG068055 · NIA · UNIVERSITY OF KENTUCKY · PI GOLD, BRIAN TIMOTHY · 2021 to 2025
$2.8M
Contributions of Alzheimer's Pathology and Cerebrovascular Factors to Cognitive AgingR01AG055449 · NIA · UNIVERSITY OF KENTUCKY · PI GOLD, BRIAN TIMOTHY · 2017 to 2021
$2.3M
Reduced BBB Water Exchange as a Preclinical Biomarker of Small Vessel DiseaseR01NS122028 · NINDS · UNIVERSITY OF KENTUCKY · PI BRIAN Timothy GOLD, Danny JJ WANG · 2025 to 2026
$1.2M
Essential Siemens Prisma Fit Upgrade for the University of Kentucky 3T Research ScannerS10OD023573 · OD · UNIVERSITY OF KENTUCKY · PI SMITH, CHARLES DENNIS · 2017 to 2017
$813k
NIA NIH HHS P30 AG072946NIA NIH HHS R01 AG055449NIA NIH HHS R01 AG068055NIH HHS S10 OD023573NINDS NIH HHS R01 NS122028
6 · The paper itself

Abstract

Quantitative susceptibility mapping (QSM) is an MRI-based, computational method for anatomically localizing and measuring concentrations of specific biomarkers in tissue such as iron. Growing research suggests QSM is a viable method for evaluating the impact of iron overload in neurological disorders and on cognitive performance in aging. Several software toolboxes are currently available to reconstruct QSM maps from 3D GRE MR Images. However, few if any software packages currently exist that offer fully automated pipelines for QSM-based data analyses: from DICOM images to region-of-interest (ROI) based QSM values. Even less QSM-based software exist that offer quality control measures for evaluating the QSM output. Here, we address these gaps in the field by introducing and demonstrating the reliability and external validity of Ironsmith; an open-source, fully automated pipeline for creating and processing QSM maps, extracting QSM values from subcortical and cortical brain regions (89 ROIs) and evaluating the quality of QSM data using SNR measures and assessment of outlier regions on phase images. Ironsmith also features automatic filtering of QSM outlier values and precise CSF-only QSM reference masks that minimize partial volume effects. Testing of Ironsmith revealed excellent intra- and inter-rater reliability. Finally, external validity of Ironsmith was demonstrated via an anatomically selective relationship between motor performance and Ironsmith-derived QSM values in motor cortex. In sum, Ironsmith provides a freely-available, reliable, turn-key pipeline for QSM-based data analyses to support research on the impact of brain iron in aging and neurodegenerative disease.

Indexed as

SoftwareAgingBrainHumansImage Processing, Computer-AssistedIronMagnetic Resonance ImagingNeuroimagingIronAgingAutomated pipelineBrain ironQuantitative susceptibility mappingSoftware

Identifiers

PMID34936923
PMCPMC8935985

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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.