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Detection of Subclinical Atherosclerosis in Asymptomatic Subjects Using Ultrasound Radiofrequency-Tracking Technology

OBJECTIVE: Atherosclerosis is a chronic and systemic disease and its developmental process involves the synergism of multiple risk factors such as hypertension, dyslipidemia, diabetes, obesity and smoking. The diagnosis of subclinical atherosclerosis is essential for strategic guidance towards suita...

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Detalles Bibliográficos
Autores principales: Niu, Lili, Zhang, Yanling, Meng, Long, Xiao, Yang, Wong, Kelvin K. L., Abbott, Derek, Zheng, Hairong, Zheng, Rongqin, Qian, Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4219816/
https://www.ncbi.nlm.nih.gov/pubmed/25369320
http://dx.doi.org/10.1371/journal.pone.0111926
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author Niu, Lili
Zhang, Yanling
Meng, Long
Xiao, Yang
Wong, Kelvin K. L.
Abbott, Derek
Zheng, Hairong
Zheng, Rongqin
Qian, Ming
author_facet Niu, Lili
Zhang, Yanling
Meng, Long
Xiao, Yang
Wong, Kelvin K. L.
Abbott, Derek
Zheng, Hairong
Zheng, Rongqin
Qian, Ming
author_sort Niu, Lili
collection PubMed
description OBJECTIVE: Atherosclerosis is a chronic and systemic disease and its developmental process involves the synergism of multiple risk factors such as hypertension, dyslipidemia, diabetes, obesity and smoking. The diagnosis of subclinical atherosclerosis is essential for strategic guidance towards suitable treatments and efficient prevention against acute cardiovascular events. This study employed ultrasound radiofrequency (RF) tracking technology to characterize human carotid arteries in vivo in terms of intima-media thickness (IMT) and artery stiffness, and evaluated the statistical correlation between carotid IMT and stiffness, and the number of risk factors for atherosclerosis. METHODS: A total of 160 asymptomatic subjects were enrolled. Ultrasound RF-tracking technology was employed to acquire carotid IMT and stiffness parameters: maximum IMT ((MAX)IMT), RF Quality IMT ((RF)QIMT), distensibility coefficient ([Image: see text]), compliance coefficient ([Image: see text]), [Image: see text]index, [Image: see text] index and local pulse wave velocity ([Image: see text]). The subjects were categorized in four groups in terms of the number of risk factors: ‘zero’, ‘single’, ‘double’, and ‘multiple’, and statistical analyses of carotid IMT and stiffness parameters were performed between these different groups. RESULTS: The subjects (n = 145) with (MAX)IMT smaller than 1.0 mm matched the IMT criteria for non-atherosclerosis and were named as NA-subjects. Spearman’s rho correlation analysis of the whole group and the NA-subjects both showed that (MAX)IMT correlated positively with (RF)QIMT, [Image: see text], [Image: see text], and [Image: see text], and negatively with [Image: see text] and [Image: see text] (p<0.01). The analysis of covariance of NA-subjects showed significant differences between subjects with and without risk factors, and also showed significant differences between the ‘zero’, ‘single’, ‘double’, and ‘multiple’ groups. CONCLUSIONS: The carotid IMT and stiffness parameters obtained by the ultrasound RF-tracking technology were demonstrated to possess significant statistical correlation with the number of risk factors from 160 subjects, and these anatomical and mechanical parameters may potentially be used together with the IMT criteria to support subclinical atherosclerosis diagnosis.
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spelling pubmed-42198162014-11-12 Detection of Subclinical Atherosclerosis in Asymptomatic Subjects Using Ultrasound Radiofrequency-Tracking Technology Niu, Lili Zhang, Yanling Meng, Long Xiao, Yang Wong, Kelvin K. L. Abbott, Derek Zheng, Hairong Zheng, Rongqin Qian, Ming PLoS One Research Article OBJECTIVE: Atherosclerosis is a chronic and systemic disease and its developmental process involves the synergism of multiple risk factors such as hypertension, dyslipidemia, diabetes, obesity and smoking. The diagnosis of subclinical atherosclerosis is essential for strategic guidance towards suitable treatments and efficient prevention against acute cardiovascular events. This study employed ultrasound radiofrequency (RF) tracking technology to characterize human carotid arteries in vivo in terms of intima-media thickness (IMT) and artery stiffness, and evaluated the statistical correlation between carotid IMT and stiffness, and the number of risk factors for atherosclerosis. METHODS: A total of 160 asymptomatic subjects were enrolled. Ultrasound RF-tracking technology was employed to acquire carotid IMT and stiffness parameters: maximum IMT ((MAX)IMT), RF Quality IMT ((RF)QIMT), distensibility coefficient ([Image: see text]), compliance coefficient ([Image: see text]), [Image: see text]index, [Image: see text] index and local pulse wave velocity ([Image: see text]). The subjects were categorized in four groups in terms of the number of risk factors: ‘zero’, ‘single’, ‘double’, and ‘multiple’, and statistical analyses of carotid IMT and stiffness parameters were performed between these different groups. RESULTS: The subjects (n = 145) with (MAX)IMT smaller than 1.0 mm matched the IMT criteria for non-atherosclerosis and were named as NA-subjects. Spearman’s rho correlation analysis of the whole group and the NA-subjects both showed that (MAX)IMT correlated positively with (RF)QIMT, [Image: see text], [Image: see text], and [Image: see text], and negatively with [Image: see text] and [Image: see text] (p<0.01). The analysis of covariance of NA-subjects showed significant differences between subjects with and without risk factors, and also showed significant differences between the ‘zero’, ‘single’, ‘double’, and ‘multiple’ groups. CONCLUSIONS: The carotid IMT and stiffness parameters obtained by the ultrasound RF-tracking technology were demonstrated to possess significant statistical correlation with the number of risk factors from 160 subjects, and these anatomical and mechanical parameters may potentially be used together with the IMT criteria to support subclinical atherosclerosis diagnosis. Public Library of Science 2014-11-04 /pmc/articles/PMC4219816/ /pubmed/25369320 http://dx.doi.org/10.1371/journal.pone.0111926 Text en © 2014 Niu et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Niu, Lili
Zhang, Yanling
Meng, Long
Xiao, Yang
Wong, Kelvin K. L.
Abbott, Derek
Zheng, Hairong
Zheng, Rongqin
Qian, Ming
Detection of Subclinical Atherosclerosis in Asymptomatic Subjects Using Ultrasound Radiofrequency-Tracking Technology
title Detection of Subclinical Atherosclerosis in Asymptomatic Subjects Using Ultrasound Radiofrequency-Tracking Technology
title_full Detection of Subclinical Atherosclerosis in Asymptomatic Subjects Using Ultrasound Radiofrequency-Tracking Technology
title_fullStr Detection of Subclinical Atherosclerosis in Asymptomatic Subjects Using Ultrasound Radiofrequency-Tracking Technology
title_full_unstemmed Detection of Subclinical Atherosclerosis in Asymptomatic Subjects Using Ultrasound Radiofrequency-Tracking Technology
title_short Detection of Subclinical Atherosclerosis in Asymptomatic Subjects Using Ultrasound Radiofrequency-Tracking Technology
title_sort detection of subclinical atherosclerosis in asymptomatic subjects using ultrasound radiofrequency-tracking technology
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4219816/
https://www.ncbi.nlm.nih.gov/pubmed/25369320
http://dx.doi.org/10.1371/journal.pone.0111926
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