Evidence map›Paper›PMID 42701451›Full record

ArticleQuantitative imaging in medicine and surgery2026

Characterization of carotid remodeling in gestational hypertension using radiofrequency data-based vessel stiffness analysis and vector flow imaging.

Yang He, Xiuhui Jiang, Yao Peng, Wenyang Du, Huating Yuan, Wei Feng, Ling Gan, Jiaqi Zhang

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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.

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1 · What the graph read from it

What it found

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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.

2 · The registry

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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

8 authors.

Yang He *Hubei Provincial Clinical Research Center for Accurate Fetus Malformation Diagnosis, Department of Ultrasound, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang, China.ORCID https://orcid.org/0009-0008-7334-6092
Xiuhui Jiang *Department of Intensive Care Unit, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang, China.
Yao PengDepartment of Ultrasound Imaging, Xiangyang No. 1 People's Hospital Graduate Joint Training Base, School of Medicine, Wuhan University of Science and Technology, Xiangyang, China.
Wenyang DuHubei Provincial Clinical Research Center for Accurate Fetus Malformation Diagnosis, Department of Ultrasound, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang, China.
Huating YuanDepartment of Ultrasound Imaging, Xiangyang No. 1 People's Hospital Graduate Joint Training Base, School of Medicine, Wuhan University of Science and Technology, Xiangyang, China.
Wei FengHubei Provincial Clinical Research Center for Accurate Fetus Malformation Diagnosis, Department of Ultrasound, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang, China.
Ling GanHubei Provincial Clinical Research Center for Accurate Fetus Malformation Diagnosis, Department of Ultrasound, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang, China.
Jiaqi ZhangHubei Provincial Clinical Research Center for Accurate Fetus Malformation Diagnosis, Department of Ultrasound, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Gestational hypertension (GH) is associated with maternal vascular remodeling; however, the biomechanical and hemodynamic features related to increased carotid intima-media thickness (CIMT) remain insufficiently characterized. This study aimed to evaluate carotid remodeling in women with GH using radiofrequency data-based quantitative vessel stiffness (R-QVS) analysis and vector flow imaging (VFI). Methods: This prospective observational study included 347 pregnant women, comprising 108 normotensive controls and 239 women with GH. The GH group was further divided into normal-CIMT and increased-CIMT subgroups based on a mean CIMT threshold of 1.0 mm. All participants underwent standardized carotid ultrasonography. Stiffness-related parameters, including the hardness coefficient (HC) and pulse wave velocity (PWV), and flow-related parameters, including maximum wall shear stress (WSS Results: Carotid stiffness increased and wall shear stress (WSS) decreased progressively from the control group to the GH normal-CIMT and GH increased-CIMT groups. The GH increased-CIMT group had the highest PWV and the lowest WSS Conclusions: Women with GH exhibited a progressive high-stiffness and low-shear carotid phenotype, particularly in the presence of increased CIMT. Integrating R-QVS analysis and VFI may improve vascular risk stratification in hypertensive pregnancies.

Indexed as

arterial stiffnesscarotid intima-media thickness (CIMT)Gestational hypertension (GH)vector flow imaging (VFI)wall shear stress (WSS)

Identifiers

PMID42701451
PMCPMC13545561

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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.