Advances in diagnosis, therapy, and prognosis of coronary artery disease powered by deep learning algorithms

M Chu, P Wu, G Li, W Yang, JL Gutiérrez-Chico, S Tu - JACC: Asia, 2023 - jacc.org
Percutaneous coronary intervention has been a standard treatment strategy for patients with
coronary artery disease with continuous ebullient progress in technology and techniques …

Practical application of coronary physiologic assessment: Asia-Pacific Expert Consensus document: part 1

BK Koo, JM Lee, D Hwang, S Park, Y Shiono… - JACC: Asia, 2023 - jacc.org
Coronary physiologic assessment is performed to measure coronary pressure, flow, and
resistance or their surrogates to enable the selection of appropriate management strategy …

[HTML][HTML] Artificial intelligence and optical coherence tomography for the automatic characterisation of human atherosclerotic plaques: AI and OCT for plaque …

M Chu, H Jia, JL Gutiérrez-Chico, A Maehara… - …, 2021 - ncbi.nlm.nih.gov
Background Intravascular optical coherence tomography (IVOCT) enables detailed plaque
characterisation in vivo, but visual assessment is time-consuming and subjective. Aims This …

Accuracy of intravascular ultrasound-based fractional flow reserve in identifying hemodynamic significance of coronary stenosis

W Yu, T Tanigaki, D Ding, P Wu, H Du… - Circulation …, 2021 - Am Heart Assoc
Background: Ultrasonic flow ratio (UFR) is a novel method for fast computation of fractional
flow reserve (FFR) from intravascular ultrasound images. The objective of this study is to …

Risk stratification in acute coronary syndrome by comprehensive morphofunctional assessment with optical coherence tomography

H Hong, H Jia, M Zeng, JL Gutiérrez-Chico, Y Wang… - JACC: Asia, 2022 - jacc.org
Background Artificial intelligence enables simultaneous evaluation of plaque morphology
and computational physiology from optical coherence tomography (OCT). Objectives This …

Agreement between Murray law-based quantitative flow ratio (μQFR) and three-dimensional quantitative flow ratio (3D-QFR) in non-selected angiographic stenosis: A …

C Cortés, L Liu, SL Berdin… - Cardiology …, 2022 - journals.viamedica.pl
Background: The agreement between single-projection Murray-based quantitative flow ratio
(m QFR) and conventional three-dimensional quantitative flow ratio (3D-QFR) has not been …

[HTML][HTML] Optical flow ratio for assessing stenting result and physiological significance of residual disease: OFR in predicting post-PCI FFR

D Ding, W Yu, H Tauzin, G De Maria, P Wu… - …, 2021 - ncbi.nlm.nih.gov
Background Optical flow ratio (OFR) is a novel method for fast computation of fractional flow
reserve (FFR) from optical coherence tomography (OCT) images. Aims We aimed to …

[PDF][PDF] 定量血流分数的临床应用与进展

赵国力, 尹德录, 姚月明 - 临床心血管病杂志, 2023 - lcxxgen.whuhzzs.com
近年来, 冠状动脉(冠脉) 功能学指标在临床应用中愈发受到重视. 血流储备分数(FFR)
作为评估冠脉功能学狭窄的金标准, 其高准确性及临床价值已被大量研究证实. 但FFR …

[HTML][HTML] Diagnostic accuracy of optical flow ratio: an individual patient-data meta-analysis

F Hu, D Ding, J Westra, Y Li, W Yu, Z Wang… - …, 2023 - ncbi.nlm.nih.gov
Background Optical flow ratio (OFR) is a novel method for the fast computation of fractional
flow reserve (FFR) from optical coherence tomography. Aims We aimed to evaluate the …

Optical coherence tomography-based machine learning for predicting fractional flow reserve in intermediate coronary stenosis: a feasibility study

JJ Cha, TD Son, J Ha, JS Kim, SJ Hong, CM Ahn… - Scientific reports, 2020 - nature.com
Abstract Machine learning approaches using intravascular optical coherence tomography
(OCT) to predict fractional flow reserve (FFR) have not been investigated. Both OCT and …