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Hemodynamics analysis of the serial stenotic coronary arteries

Overview of attention for article published in BioMedical Engineering OnLine, November 2017
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Title
Hemodynamics analysis of the serial stenotic coronary arteries
Published in
BioMedical Engineering OnLine, November 2017
DOI 10.1186/s12938-017-0413-0
Pubmed ID
Authors

Xin Liu, Changnong Peng, Yufa Xia, Zhifan Gao, Pengcheng Xu, Xiaoqing Wang, Zhanchao Xian, Youbing Yin, Liqun Jiao, Defeng Wang, Lin Shi, Wenhua Huang, Xin Liu, Heye Zhang

Abstract

Coronary arterial stenoses, particularly serial stenoses in a single branch, are responsible for complex hemodynamic properties of the coronary arterial trees, and the uncertain prognosis of invasive intervention. Critical information of the blood flow redistribution in the stenotic arterial segments is required for the adequate treatment planning. Therefore, in this study, an image based non-invasive functional assessment is performed to investigate the hemodynamic significances of serial stenoses. Twenty patient-specific coronary arterial trees with different combinations of stenoses were reconstructed from the computer tomography angiography for the evaluation of the hemodynamics. Our results showed that the computed FFR based on CTA images (FFRCT) pullback curves with wall shear stress (WSS) distribution could provide more effectively examine the physiological significance of the locations of the segmental narrowing and the curvature of the coronary arterial segments. The paper thus provides the diagnostic efficacy of FFRCT pullback curve for noninvasive quantification of the hemodynamics of stenotic coronary arteries with serial lesions, compared to the gold standard invasive FFR, to provide a reliable physiological assessment of significant amount of coronary artery stenosis. Further, we were also able to demonstrate the potential of carrying out virtual revascularization, to enable more precise PCI procedures and improve their outcomes.

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The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 20%
Student > Doctoral Student 5 11%
Student > Bachelor 5 11%
Student > Master 4 9%
Student > Ph. D. Student 3 7%
Other 9 20%
Unknown 10 22%
Readers by discipline Count As %
Engineering 11 24%
Medicine and Dentistry 8 18%
Psychology 4 9%
Computer Science 3 7%
Mathematics 1 2%
Other 3 7%
Unknown 15 33%