Evidence map›Paper›PMID 41937126›Full record

ArticleBMC neurology2026

Hemodynamic disturbances in vertebral artery dominance: a potential pathogenic mechanism in acute isolated pontine infarction.

Yanquan Yuan, Shan Wei, Shijie Xu, Jiaohao Li, Yao Zeng, Yutian Zhang, Yuxin Wang, Zhiyong Huang, Xiaolong Lin, Chun Xiao and 2 more

Abstract read
In one paragraph

Article in BMC neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Yanquan Yuan *Department of Neurology, Huizhou Third People's Hospital, Guangzhou Medical University, No.1 Qiaodong Xuebei Street, Huicheng District, Huizhou City, Guangdong, 516001, China.
Shan Wei *Department of Cardiology, Huizhou Third People's Hospital, Guangzhou Medical University, Huizhou, 516002, China.
Shijie XuDepartment of Cardiology, Huizhou Third People's Hospital, Guangzhou Medical University, Huizhou, 516002, China.
Jiaohao LiDepartment of Cardiology, Huizhou Third People's Hospital, Guangzhou Medical University, Huizhou, 516002, China.
Yao ZengDepartment of Pathology, Huizhou Third People's Hospital, Guangzhou Medical University, Huizhou, 516002, China.
Yutian ZhangGuangdong Key Laboratory of Age-Related Cardiac and Cerebral Diseases, Affiliated Hospital of Guangdong Medical University, South Renmin Road No. 57, Xiashan, Zhanjiang, Guangdong Province, 524001, China.
Yuxin WangGuangdong Key Laboratory of Age-Related Cardiac and Cerebral Diseases, Affiliated Hospital of Guangdong Medical University, South Renmin Road No. 57, Xiashan, Zhanjiang, Guangdong Province, 524001, China.
Zhiyong HuangDepartment of Neurology, Huizhou Third People's Hospital, Guangzhou Medical University, No.1 Qiaodong Xuebei Street, Huicheng District, Huizhou City, Guangdong, 516001, China.
Xiaolong LinDepartment of Pathology, Huizhou Third People's Hospital, Guangzhou Medical University, Huizhou, 516002, China.
Chun XiaoDepartment of Cardiology, Huizhou Third People's Hospital, Guangzhou Medical University, Huizhou, 516002, China.
You LiGuangdong Key Laboratory of Age-Related Cardiac and Cerebral Diseases, Affiliated Hospital of Guangdong Medical University, South Renmin Road No. 57, Xiashan, Zhanjiang, Guangdong Province, 524001, China. youli805@163.com.
Linfa ChenDepartment of Neurology, Huizhou Third People's Hospital, Guangzhou Medical University, No.1 Qiaodong Xuebei Street, Huicheng District, Huizhou City, Guangdong, 516001, China. 2024695013@gzhmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIsolated pontine infarction (IPI) is closely linked to the hemodynamic properties of the vertebral artery. However, the underlying pathogenic mechanisms remain insufficiently defined. This study was designed to explore the contribution of vertebral artery hemodynamic disturbances to the development of IPI and identify the optimal hemodynamic cut-off values for predicting IPI risk in patients with vertebral artery dominance (VAD). MATERIALS AND

methodsA total of 381 individuals were enrolled. These included 205 patients with acute IPI and 176 control individuals without cerebrovascular disease who were hospitalized during the same period. Computed tomography angiography (CTA) and magnetic resonance imaging (MRI) were used to determine infarct location and evaluate the diameter and curvature of the vertebral arteries and basilar artery (BA). Hemodynamic parameters of the vertebral arteries were measured using color Doppler flow imaging (CDFI). Receiver operating characteristic (ROC) curves were used to identify the optimal cut-off values of dominant-side hemodynamic parameters for predicting IPI risk in patients with VAD. Appropriate statistical analyses were used for intergroup comparisons and correlation assessments.

resultsA total of 321 (84.25%) of the 381 enrolled subjects were diagnosed with VAD. Among these, patients with IPI had a significantly lower dominant-side end-diastolic velocity (EDV, 22.72 ± 7.29 cm/s) compared with controls. In contrast, the dominant-side resistance index (RI, 0.61 ± 0.07), pulsatility index (PI, 1.06 ± 0.21), and the peak systolic velocity/end-diastolic velocity ratio (PSV/EDV, 2.70 ± 0.61) were all significantly elevated. Subgroup analysis revealed that patients with paramedian pontine infarction showed similarly pronounced differences in dominant-side EDV (22.64 ± 7.26 cm/s), RI (0.62 ± 0.07), PI (1.07 ± 0.23), and PSV/EDV (2.75 ± 0.69) relative to the controls. Among the 192 patients with both VAD and BA curvature, 130 (67.7%) demonstrated BA curvature contralateral to the dominant vertebral artery (Spearman rank correlation, r = − 0.296, P < 0.0001). Control subjects with BA curvature showed no significant dominant-side hemodynamic abnormalities compared with VAD control subjects without BA curvature (P > 0.05). ROC curve analysis identified the optimal cut-off values for key dominant-side hemodynamic parameters: EDV ≤ 20.50 cm/s, RI ≥ 0.57, PI ≥ 0.93 and PSV/EDV ≥ 2.35.

conclusionThese findings indicate a strong association between VAD and acute IPI, mediated by significant disturbances in vertebral artery hemodynamics. A reduced EDV, accompanied by increased RI, PI, and PSV/EDV, was observed consistently, with the most marked alterations occurring in the paramedian infarction subtype. BA curvature does not represent an independent risk factor for IPI, but is merely a morphological mediator that exacerbates VAD-related hemodynamic disturbances. The identification of cut-off values of dominant-side hemodynamic parameters provides a foundation for the early identification of hemodynamic risk, thereby enabling targeted interventions for VAD-related IPI.

Indexed as

Brain Stem InfarctionsHemodynamicsPonsVertebral ArteryAdultAgedComputed Tomography AngiographyFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedROC CurveBasilar artery curvatureCut-off valueHemodynamicsPontine infarctionVertebral artery dominance

Identifiers

PMID41937126
PMCPMC13188819

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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.