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Your search keyword '"Chee Yang Chin"' showing total 2 results
Start Over Author "Chee Yang Chin" Publisher american physiological society
2 results on '"Chee Yang Chin"'

1. Quantification of effects of mean blood pressure and left ventricular mass on noninvasive fast fractional flow reserve

Author

Gaurav Chandola, Aaron Sung Lung Wong, Swee Yaw Tan, Terrance Chua, Soo Teik Lim, Chee Yang Chin, Ris Low, John Carson Allen, Adrian F. Low, Jiang Ming Fam, Ghassan S. Kassab, Lynette Teo, Jun-Mei Zhang, Liang Zhong, Ping Chai, Ru San Tan, and Weimin Huang

Subjects
Male, Patient-Specific Modeling, Cfd simulation, medicine.medical_specialty, Brachial Artery, Computed Tomography Angiography, Physiology, Heart Ventricles, Coronary Artery Disease, Fractional flow reserve, 030204 cardiovascular system & hematology, Coronary Angiography, Coronary artery disease, Left ventricular mass, 03 medical and health sciences, 0302 clinical medicine, Predictive Value of Tests, Physiology (medical), Internal medicine, Multidetector Computed Tomography, medicine, Humans, Arterial Pressure, 030212 general & internal medicine, Aged, Retrospective Studies, Observer Variation, business.industry, Models, Cardiovascular, Reproducibility of Results, Middle Aged, medicine.disease, Coronary Vessels, Fractional Flow Reserve, Myocardial, Blood pressure, Mean blood pressure, Hydrodynamics, Cardiology, Radiographic Image Interpretation, Computer-Assisted, Female, Cardiology and Cardiovascular Medicine, business
Abstract

While brachial mean blood pressure (MBP) and left ventricular mass (LVM) measured from CTCA are the two CFD simulation input parameters, their effects on noninvasive fractional flow reserve (FFRB) have not been systematically investigated. We demonstrate that inaccurate MBP and LVM inputs differing from patient-specific values could result in misclassification of borderline ischemic lesions. This is important in the clinical application of noninvasive FFR in coronary artery disease diagnosis.

Published
2020
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2. Quantification of effects of mean blood pressure and left ventricular mass on noninvasive fast fractional flow reserve.

Author

Jun-Mei Zhang, Chandola, Gaurav, Ru-San Tan, Ping Chai, Teo, Lynette L. S., Low, Ris, Allen, John Carson, Weimin Huang, Jiang Ming Fam, Chee Yang Chin, Lung Wong, Aaron Sung, Low, Adrian F., Kassab, Ghassan S., Chua, Terrance, Tan, Swee Yaw, Soo Teik Lim, and Liang Zhong

Abstract

Proper inlet boundary conditions are essential for accurate computational fluid dynamics (CFD) modeling. We developed methodology to derive noninvasive FFRB using CFD and computed tomography coronary angiography (CTCA) images. This study aims to assess the influence of brachial mean blood pressure (MBP) and total coronary inflow on FFRB computation. Twenty-two patients underwent both CTCA and FFR measurements. Total coronary flow was computed from left ventricular mass (LVM) measured from CTCA. A total of 286 CFD simulations were run by varying MBP and LVM at 70, 80, 90, 100, 110, 120, and 130% of the measured values. FFRB increased with incrementally higher input values of MBP: 0.78 ± 0.12, 0.80 ± 0.11, 0.82 ± 0.10, 0.84 ± 0.09, 0.85 ± 0.08, 0.86 ± 0.08, and 0.87 ± 0.07, respectively. Conversely, FFRB decreased with incrementally higher inputs value of LVM: 0.86 ± 0.08, 0.85 ± 0.08, 0.84 ± 0.09, 0.84 ± 0.09, 0.83 ± 0.10, 0.83 ± 0.10, and 0.82 ± 0.10, respectively. Noninvasive FFRB calculated using measured MBP and LVM on a total of 30 vessels was 0.84 ± 0.09 and correlated well with invasive FFR (0.83 ± 0.09) (r = 0.92, P < 0.001). Positive association was observed between FFRB and MBP input values (mmHg) and negative association between FFRB and LVM values (g). Respective slopes were 0.0016 and −0.005, respectively, suggesting potential application of FFRB in a clinical setting. Inaccurate MBP and LVM inputs differing from patient-specific values could result in misclassification of borderline ischemic lesions. NEW & NOTEWORTHY While brachial mean blood pressure (MBP) and left ventricular mass (LVM) measured from CTCA are the two CFD simulation input parameters, their effects on noninvasive fractional flow reserve (FFRB) have not been systematically investigated. We demonstrate that inaccurate MBP and LVM inputs differing from patient-specific values could result in misclassification of borderline ischemic lesions. This is important in the clinical application of noninvasive FFR in coronary artery disease diagnosis. [ABSTRACT FROM AUTHOR]

Published
2020
Full Text
View/download PDF

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