Literature DB >> 11091949

Dynamics of human coronary arterial motion and its potential role in coronary atherogenesis.

Z Ding1, M H Friedman.   

Abstract

Mechanical forces have been widely recognized to play an important role in the pathogenesis of atherosclerosis. Since coronary arterial motion modulates both vessel wall mechanics and fluid dynamics, it is hypothesized that certain motion patterns might be atherogenic by generating adverse wall mechanical forces or fluid dynamic environments. To characterize the dynamics of coronary arterial motion and explore its implications in atherogenesis, a system was developed to track the motion of coronary arteries in vivo, and employed to quantify the dynamics of four right coronary arteries (RCA) and eight left anterior descending (LAD) coronary arteries. The analysis shows that: (a) The motion parameters vary among individuals, with coefficients of variation ranging from 0.25 to 0.59 for axially and temporally averaged values of the parameters; (b) the motion parameters of individual vessels vary widely along the vessel axis, with coefficients of variation as high as 2.28; (c) the LAD exhibits a greater axial variability in torsion, a measure of curve "helicity," than the RCA; (d) in comparison with the RCA, the LAD experiences less displacement (p = 0.009), but higher torsion (p = 0.03). These results suggest that: (i) the variability of certain motion parameters, particularly those that exhibit large axial variations, might be related to variations in susceptibility to atherosclerosis among different individuals and vascular regions; and (ii) differences in motion parameters between the RCA and LAD might relate to differences in their susceptibility to atherosclerosis.

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Year:  2000        PMID: 11091949     DOI: 10.1115/1.1289989

Source DB:  PubMed          Journal:  J Biomech Eng        ISSN: 0148-0731            Impact factor:   2.097


  15 in total

1.  Quantification of 3-D coronary arterial motion using clinical biplane cineangiograms.

Authors:  Z Ding; M H Friedman
Journal:  Int J Card Imaging       Date:  2000-10

2.  Relationship between beat to beat coronary artery motion and image quality in prospectively ECG-gated two heart beat 320-detector row coronary CT angiography.

Authors:  Nobuo Tomizawa; Shuhei Komatsu; Masaaki Akahane; Rumiko Torigoe; Shigeru Kiryu; Kuni Ohtomo
Journal:  Int J Cardiovasc Imaging       Date:  2010-11-30       Impact factor: 2.357

3.  Temporal tracking of coronaries in multi-slice computed tomography.

Authors:  S Laguitton; C Boldak; C Toumoulin
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2007

4.  Residual shear deformations in the coronary artery.

Authors:  Ruoya Wang; Rudolph L Gleason
Journal:  J Biomech Eng       Date:  2014-06       Impact factor: 2.097

5.  Microscope-based near-infrared stereo-imaging system for quantifying the motion of the murine epicardial coronary arteries in vivo.

Authors:  David S Long; Hui Zhu; Morton H Friedman
Journal:  J Biomed Opt       Date:  2013-09       Impact factor: 3.170

6.  The effects of time varying curvature on species transport in coronary arteries.

Authors:  Maheshwaran K Kolandavel; Ernst-Torben Fruend; Steffen Ringgaard; Peter G Walker
Journal:  Ann Biomed Eng       Date:  2006-10-19       Impact factor: 3.934

7.  Assessment of superficial coronary vessel wall deformation and stress: validation of in silico models and human coronary arteries in vivo.

Authors:  Xinlei Wu; Clemens von Birgelen; Zehang Li; Su Zhang; Jiayue Huang; Fuyou Liang; Yingguang Li; William Wijns; Shengxian Tu
Journal:  Int J Cardiovasc Imaging       Date:  2018-02-03       Impact factor: 2.357

8.  Characterization of the highly nonlinear and anisotropic vascular tissues from experimental inflation data: a validation study toward the use of clinical data for in-vivo modeling and analysis.

Authors:  Kinon Chen; Bahar Fata; Daniel R Einstein
Journal:  Ann Biomed Eng       Date:  2008-07-29       Impact factor: 3.934

9.  Objective characterization of the course of the parasellar internal carotid artery using mathematical tools.

Authors:  Stefan Meng; Stefan H Geyer; Luciano da F Costa; Matheus P Viana; Wolfgang J Weninger
Journal:  Surg Radiol Anat       Date:  2008-06-04       Impact factor: 1.246

10.  Cataloguing the geometry of the human coronary arteries: a potential tool for predicting risk of coronary artery disease.

Authors:  Hui Zhu; Zhaohua Ding; Robert N Piana; Thomas R Gehrig; Morton H Friedman
Journal:  Int J Cardiol       Date:  2008-07-01       Impact factor: 4.164

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