Evidence map›Paper›PMID 39285029›Full record

ArticleEuropean radiology2025

Differentiating calcifications from cerebral microbleeds using quantitative susceptibility mapping.

Yu Luo, Ke Gao, Yong Zhou, Miller Fawaz, E Mark Haacke, Shuang Xia, Shiyuan Liu

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Article in European radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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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.

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yu Luo *Department of Radiology, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Ke Gao *Department of Radiology, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Yong ZhouDepartment of Radiology, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Miller FawazSpinTech MRI, Bingham Farms, MI, USA.
E Mark HaackeSpinTech MRI, Bingham Farms, MI, USA.
Shuang XiaDepartment of Radiology, Tianjin First Central Hospital, Tianjin, China. xiashuang77@163.com.
Shiyuan LiuSchool of Medicine, Tongji University, Shanghai, China. cjr.liushiyuan@vip.163.com.ORCID http://orcid.org/0000-0002-2146-1936

Funding

Natural Scientific Foundation of China 81971590
6 · The paper itself

Abstract

objectivesTo differentiate cerebral microbleeds (CMBs) and calcifications using quantitative susceptibility mapping (QSM).

methodsCMBs were visualized and located using QSM from susceptibility-weighted imaging data collected on a 3-T MR scanner. Calcifications of the pineal gland and the choroid plexus were localized first using CT. All calcifications and CMBs were assessed using QSM to evaluate their magnetic susceptibility. The distribution of the magnetic susceptibility for the CMBs was determined and the CT attenuation was correlated with the mean magnetic susceptibility for the calcifications.

resultsA total of 232 hypointense foci were selected from the QSM data: 121 were CMBs and 111 were calcifications. The mean magnetic susceptibility was -214 ± 112 ppb for the calcifications and 392 ± 204 ppb for the CMBs. The minimum value of magnetic susceptibility was 75 ppb for all the CMBs and the maximum value was -52 ppb for all the calcifications. The calcifications were clearly differentiable from the CMBs from the sign alone (p < 0.001). The magnetic susceptibility for the CMBs was 299 ± 133 ppb in the lobar subcortical white matter and 499 ± 220 ppb for deep CMBs in the basal ganglia, thalamus, and brainstem. There was a significant difference in the susceptibility between these two regions (p < 0.001).

conclusionThe sign of the magnetic susceptibility was sufficient to differentiate calcifications and CMBs. The concentration of calcium or iron can be determined from the susceptibility value itself. The deep CMBs had higher susceptibility on average than lobar bleeds. CLINICAL RELEVANCE STATEMENT: This study's ability to differentiate between CMBs and calcifications using QSM could enhance diagnostic accuracy, guiding more precise treatment decisions for stroke or tumor patients. KEY POINTS: The sign of magnetic susceptibility is sufficient to differentiate calcifications and CMBs. QSM can successfully differentiate calcifications from microbleeds. The concentration of calcium or iron can be determined from the susceptibility value itself.

Indexed as

CalcinosisCerebral HemorrhageMagnetic Resonance ImagingAdultAgedAged, 80 and overDiagnosis, DifferentialFemaleHumansMaleMiddle AgedTomography, X-Ray ComputedCalcificationCerebralMicrobleedQuantitativeSusceptibility

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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.