Evidence map›Paper›PMID 41145443›Full record

ArticleThe Journal of international medical research2025

High-resolution susceptibility-weighted imaging for detecting cerebral venous thrombosis across various venous segments and disease stages.

Zhouyang Lian, Kaiyuan Chen, Hongjun Liu, Xianzan Chen, Lifen Yan

Abstract read
In one paragraph

Article in The Journal of international medical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Zhouyang LianDepartment of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, China.ORCID 0000-0003-1782-5343
Kaiyuan ChenDepartment of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, China.
Hongjun LiuDepartment of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, China.
Xianzan ChenDepartment of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, China.
Lifen YanDepartment of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PurposeWe aimed to compare the performance of susceptibility-weighted imaging and standard magnetic resonance imaging sequences for cerebral venous thrombosis in diverse venous segments and disease stages.Materials and methodsWe compared the sensitivity of susceptibility-weighted imaging, T1-weighted imaging, T2-weighted imaging, and fluid-attenuated inversion recovery in detecting cerebral venous thrombosis across various venous segments and disease stages. Additionally, the sensitivity of susceptibility-weighted imaging was compared with that of magnetic resonance venography for identifying cerebral venous thrombosis in different venous segments.ResultsThe study cohort comprised 33 lesions in the acute stage, 37 in the subacute stage, and 17 in the chronic stage. Susceptibility-weighted imaging demonstrated superior sensitivity, with values reaching 94% in the acute stage and 88% in the chronic stage, significantly outperforming the other three magnetic resonance imaging sequences

Indexed as

Cerebral VeinsIntracranial ThrombosisMagnetic Resonance AngiographyMagnetic Resonance ImagingVenous ThrombosisAdultAgedFemaleHumansMaleMiddle AgedYoung AdultCerebral venous thrombosismagnetic resonance imagingsensitivitysusceptibility-weighted imaging

Identifiers

PMID41145443
PMCPMC12576076

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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.