Evidence map›Paper›PMID 42582564›Full record

ArticleQuantitative imaging in medicine and surgery2026

Association between acute infarct topography and cerebral microbleed location in acute ischemic stroke: a retrospective cross-sectional magnetic resonance imaging study.

Lingzhi Cheng, Yuewan Fu, Yichao Wu, Rouyan Wu, Chunyun Ha, Xiao Li, Liping Zhang, Lianying Song

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Lingzhi Cheng *Department of Radiology, Beijing Longfu Hospital, Beijing, China.
Yuewan Fu *First Clinical Medical College, Beijing University of Chinese Medicine, Beijing, China.ORCID https://orcid.org/0009-0001-6741-7041
Yichao WuFirst Clinical Medical College, Beijing University of Chinese Medicine, Beijing, China.ORCID https://orcid.org/0009-0006-4716-1647
Rouyan WuDepartment of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Chunyun HaDepartment of Radiology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Xiao LiDepartment of Hematology and Oncology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Liping ZhangDepartment of Radiology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Lianying SongDepartment of Radiology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.ORCID https://orcid.org/0000-0001-5012-9716

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cerebral microbleeds (CMBs) are important imaging markers of cerebral small vessel disease and are frequently detected in patients with stroke. However, imaging evidence regarding spatial associations between infarct topography and CMBs detected on the index magnetic resonance imaging (MRI) examination in patients with acute ischemic stroke (AIS) remains limited. This study aims to investigate the association between acute infarct location and CMB location on brain MRI. Methods: This retrospective cross-sectional study included cranial MRI data from patients with AIS. Acute infarcts were identified on diffusion-weighted imaging/apparent diffusion coefficient (DWI/ADC) and classified into six predefined neuroanatomical regions. CMBs detected on the index MRI examination were identified on susceptibility-weighted imaging (SWI) and recorded using the same regional scheme. Two experienced readers independently interpreted the images under blinded conditions, and disagreements were resolved by consensus adjudication. Multivariable logistic regression was performed to evaluate factors associated with the presence of CMBs after limited adjustment for sex, age, and infarct location. Exploratory regression analyses were further performed to assess associations between infarct location and region-specific CMBs. Results: A total of 138 patients with AIS were included, among whom 79 (57.2%) had CMBs detected on SWI. In multivariable logistic regression analysis, after limited adjustment for sex, age, and infarct location, corona radiata infarction was associated with the presence of CMBs [odds ratio (OR) =3.61, 95% confidence interval (CI): 1.52-8.61, P=0.004]. Exploratory univariable analyses showed that cortical infarction was associated with cortical CMBs (OR =2.90, 95% CI: 1.37-6.13, P=0.005), while corona radiata infarction was associated with corona radiata CMBs (OR =3.82, 95% CI: 1.83-8.00, P<0.001). In addition, increasing age (OR =1.11, 95% CI: 1.02-1.20, P=0.013) and thalamic infarction (OR =5.36, 95% CI: 1.18-24.46, P=0.030) showed exploratory associations with cerebellar CMBs. Conclusions: In this retrospective single-center MRI study, corona radiata infarction was associated with CMBs detected on the index MRI examination after limited adjustment for demographic variables and infarct location. Region-specific associations between acute infarct location and CMB location were exploratory and should be interpreted cautiously, given the cross-sectional design, limited covariate adjustment, small sample size, and potential scanner heterogeneity. Further prospective multicenter studies using standardized MRI protocols and more comprehensive clinical and imaging covariates are needed to validate these findings.

Indexed as

Acute ischemic stroke (AIS)cerebral microbleeds (CMBs)corona radiatainfarct topographysusceptibility-weighted imaging (SWI)

Identifiers

PMID42582564
PMCPMC13457804

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.