Fractional Flow Reserve Guided Coronary Revascularization in Lung Transplant Recipients

Shin, Jeong-Ah; Suryapalam, Manish; Shenoy, Kartik; O’Neill, Brian; Bashir, Riyaz; Lakhter, Vladimir; O’Murchu, Brian; Aggarwal, Vikas

doi:10.1016/j.healun.2019.01.814

The Journal of Heart and Lung Transplantation

2019

DOI: 10.1016/j.healun.2019.01.814

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Fractional Flow Reserve Guided Coronary Revascularization in Lung Transplant Recipients

Jeong-Ah Shin

Manish Suryapalam

Kartik Shenoy

et al.

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“…Currently, pressure field-based fractional flow reserve (FFR) is the gold standard for the clinical diagnosis of myocardial ischemia severity caused by stenosis [4][5][6][7] . The treatment regimen guided by FFR has been proven safe and effective 8,9 . For patients with severe myocardial ischemia, revascularization is typically required.…”

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Prediction of 3D Cardiovascular hemodynamics before and after coronary artery bypass surgery via deep learning

Wang

Zhang

et al. 2021

Commun Biol

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The clinical treatment planning of coronary heart disease requires hemodynamic parameters to provide proper guidance. Computational fluid dynamics (CFD) is gradually used in the simulation of cardiovascular hemodynamics. However, for the patient-specific model, the complex operation and high computational cost of CFD hinder its clinical application. To deal with these problems, we develop cardiovascular hemodynamic point datasets and a dual sampling channel deep learning network, which can analyze and reproduce the relationship between the cardiovascular geometry and internal hemodynamics. The statistical analysis shows that the hemodynamic prediction results of deep learning are in agreement with the conventional CFD method, but the calculation time is reduced 600-fold. In terms of over 2 million nodes, prediction accuracy of around 90%, computational efficiency to predict cardiovascular hemodynamics within 1 second, and universality for evaluating complex arterial system, our deep learning method can meet the needs of most situations.

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mentioning

confidence: 99%

Prediction of 3D Cardiovascular hemodynamics before and after coronary artery bypass surgery via deep learning

Wang

Zhang

et al. 2021

Commun Biol

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Fractional Flow Reserve Guided Coronary Revascularization in Lung Transplant Recipients

Cited by 1 publication

References 0 publications

Prediction of 3D Cardiovascular hemodynamics before and after coronary artery bypass surgery via deep learning

Prediction of 3D Cardiovascular hemodynamics before and after coronary artery bypass surgery via deep learning

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