Evidence map›Paper›PMID 34110656›Full record

ArticleMagnetic resonance in medicine2021

Temporal clustering, tissue composition, and total variation for mapping oxygen extraction fraction using QSM and quantitative BOLD.

Junghun Cho, Pascal Spincemaille, Thanh D Nguyen, Ajay Gupta, Yi Wang

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Brain oxygen extraction fraction mapping in patients with multiple sclerosis.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2022
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  12. Sensitivity assessment of QSM+qBOLD (or QQ) in detecting elevated oxygen extraction fraction (OEF) in physiological change.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2025
    Article
  13. The changes of oxygen extraction fraction in different types of lesions in relapsing-remitting multiple sclerosis: A cross-sectional and longitudinal study.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
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  14. Validation of a new 3D quantitative BOLD based cerebral oxygen extraction mapping.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024
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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

5 authors.

Junghun ChoDepartment of Radiology, Weill Cornell Medical College, New York, New York, USA.ORCID 0000-0002-0826-5463
Pascal SpincemailleDepartment of Radiology, Weill Cornell Medical College, New York, New York, USA.
Thanh D NguyenDepartment of Radiology, Weill Cornell Medical College, New York, New York, USA.ORCID 0000-0002-1411-7694
Ajay GuptaDepartment of Radiology, Weill Cornell Medical College, New York, New York, USA.
Yi WangDepartment of Radiology, Weill Cornell Medical College, New York, New York, USA.ORCID 0000-0003-1404-8526

Funding

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
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
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
Development and validation of MRI mapping of brain oxygen metabolism for clinical useK99NS123229 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI CHO, JUNGHUN · 2021 to 2022
$183k
NIA NIH HHS R21 AG067466NIH HHS K99NS123229NIH HHS R01NS090464NIH HHS R01NS095562NIH HHS R01NS105144NIH HHS R21AG067466NIH HHS S10 OD021782NIH HHS S10OD021782NINDS NIH HHS K99 NS123229NINDS NIH HHS R01 NS090464NINDS NIH HHS R01 NS095562NINDS NIH HHS R01 NS105144
6 · The paper itself

Abstract

purposeTo improve the accuracy of quantitative susceptibility mapping plus quantitative blood oxygen level-dependent magnitude (QSM+qBOLD or QQ) based mapping of oxygen extraction fraction (OEF) and cerebral metabolic rate of oxygen (CMRO

methodsThree-dimensional multi-echo gradient echo and arterial spin labeling images were acquired from 11 healthy subjects and 33 ischemic stroke patients. Diffusion-weighted imaging (DWI) was also obtained from patients. The CCTV mapping was developed for incorporating tissue-type information into clustering of the previous cluster analysis of time evolution (CAT) and applying total variation (TV). The QQ-based OEF and CMRO

resultsIn simulation, CCTV provided more accurate and precise OEF than CAT or CATV. In healthy subjects, QQ-based OEF was less noisy and more uniform with CCTV than CAT. In subacute stroke patients, OEF with CCTV had a greater contrast-to-noise ratio between DWI-defined lesions and the unaffected contralateral side than with CAT or CATV: 1.9 ± 1.3 versus 1.1 ± 0.7 (P = .01) versus 0.7 ± 0.5 (P < .001).

conclusionThe CCTV mapping significantly improves the robustness of QQ-based OEF against noise.

Indexed as

Gray MatterOxygenBrainCerebrovascular CirculationCluster AnalysisHumansMagnetic Resonance ImagingOxygen ConsumptionOxygenoxygen extraction fractionquantitative blood oxygenation level-dependent imagingquantitative susceptibility mappingtemporal clusteringtissue compositiontotal variation

Identifiers

PMID34110656
PMCPMC10337202

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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.