Evidence map›Paper›PMID 41953377›Full record

ArticleFrontiers in cardiovascular medicine2025

Case Report: Unveiling segmental hemodynamic heterogeneity in internal jugular vein stenosis: a patient-specific CFD analysis.

Hui Li, Jian Dong, Chunxiao Lu, Xiao Xue, Lu Liu, Weiyue Zhang, Yifan Zhou, Huimin Jiang, Yali Wu, Beibei Mao and 6 more

Abstract readCase Reports
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Review
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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

16 authors.

Hui LiDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Jian DongDepartment of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Chunxiao LuDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Xiao XueOphthalmology Department, Xuanwu Hospital, Capital Medical University, Beijing, China.
Lu LiuDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Weiyue ZhangBeijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Biological Science and Medical Engineering, Beihang University, Beijing, China.
Yifan ZhouBeijing Institute of Brain Disorders, Laboratory of Brain Disorders, Ministry of Science and Technology, Collaborative Innovation Center for Brain Disorders, Beijing Advanced Innovation Center for Big Data-based Precision Medicine, Capital Medical University, Beijing, China.
Huimin JiangBeijing Institute of Brain Disorders, Laboratory of Brain Disorders, Ministry of Science and Technology, Collaborative Innovation Center for Brain Disorders, Beijing Advanced Innovation Center for Big Data-based Precision Medicine, Capital Medical University, Beijing, China.
Yali WuDepartment of Neurosurgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Beibei MaoDepartment of Neurosurgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Guangtong ZhuDepartment of Neurosurgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Haiyang MaDepartment of Neurosurgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Jian ChenDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Zhiqiang HuDepartment of Neurosurgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Chen ZhouDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Xunming JiDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and purpose: While non-thrombotic internal jugular vein stenosis (IJVS), predominantly from extrinsic compression, is increasingly linked to cerebral venous outflow insufficiency, its segment-specific pathophysiology remains unclear. Given the distinct J1-J3 anatomy of the internal jugular vein, segment-based characterization may aid management. Case presentation: We retrospectively analyzed five patients with non-thrombotic IJVS affecting different segments and etiologies. Clinical features, segment involvement, and lesion morphology were recorded. Patient-specific hemodynamics were modeled with computational fluid dynamics (CFD) from head-neck CT venography (CTV) using identical boundary conditions for cross-case comparison. All cases showed trans-stenotic pressure gradients that increased with stenosis severity. Elevated wall shear stress localized to the stenosis, with high-velocity jets within the narrowed segment and downstream vortices in post-stenotic regions. J3 stenoses from C1 transverse process and/or styloid compression improved after decompression, with better hemodynamic metrics, venous morphology, and symptoms. J1-J2 stenoses were mainly due to soft-tissue or arterial compression; feasible interventions were limited and conservative care yielded modest benefit. Conclusions: IJVS demonstrates segment-specific morphological and hemodynamic patterns. Patient-specific CFD derived from CTV quantitatively characterizes these abnormalities and may inform treatment selection and prognosis, although validation in larger cohorts is warranted.

Indexed as

cerebral venous outflow insufficiencyextrinsic venous compressioninternal jugular vein decompressioninternal jugular vein stenosissegmental venous stenosis

Identifiers

PMID41953377
PMCPMC13053235

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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.