A Study on the Correlation Between Calcific Aortic Valve Disease and Carotid Artery Elasticity

UFPWV technology is a novel method for the early diagnosis of carotid elasticity. Evaluating carotid artery atherosclerosis in patients with CAVD may lead to earlier detection and intervention and reduce the incidence of cardiovascular events.

Authors

Institutions

Publication Details

Journal
Reviews in Cardiovascular Medicine
Published
2025-05-21
DOI
https://doi.org/10.31083/rcm26821
Citations
1
Primary Topic
Cardiovascular Health and Disease Prevention
Type
article
Field-Weighted Citation Impact
1.39
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Study on the Correlation Between Calcific Aortic Valve Disease and Carotid Artery Elasticity

Quan He, Zhijun Zhang, Wei Wang, Yan Zhang et al.
1 citations
Reviews in Cardiovascular Medicine
Cardiovascular Health and Disease Prevention
1.39
article

A Study on the Correlation Between Calcific Aortic Valve Disease and Carotid Artery Elasticity

Quan He, Zhijun Zhang, Wei Wang, Yan Zhang, Yu Zhong, Hui Wang
article en
1 citations

Abstract

UFPWV technology is a novel method for the early diagnosis of carotid elasticity. Evaluating carotid artery atherosclerosis in patients with CAVD may lead to earlier detection and intervention and reduce the incidence of cardiovascular events.

Reviews in Cardiovascular MedicineVol. 26(5)
The Affiliated Yongchuan Hospital of Chongqing Medical University (CN), Chongqing Medical University (CN)
Good health and well-being
Openalex Percentile: Top 18%
Cardiovascular Health and Disease Prevention
1.39
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.