Kashif Shaikh, Patricia Rodriguez Lozano, Sotirios Evangelou, En-Haw Wu, Nick S Nurmohamed, Nidhi Madan, Dhiran Verghese, Chandana Shekar, Anam Waheed, Saira Siddiqui, Márton Kolossváry, Shone Almeida, Tyler Coombes, Dominika Suchá, Siddharth J Trivedi, Abdul Rahman Ihdayhid
{"title":"CT derived fractional flow reserve: Part 1 - Comprehensive review of methodologies.","authors":"Kashif Shaikh, Patricia Rodriguez Lozano, Sotirios Evangelou, En-Haw Wu, Nick S Nurmohamed, Nidhi Madan, Dhiran Verghese, Chandana Shekar, Anam Waheed, Saira Siddiqui, Márton Kolossváry, Shone Almeida, Tyler Coombes, Dominika Suchá, Siddharth J Trivedi, Abdul Rahman Ihdayhid","doi":"10.1016/j.jcct.2025.07.001","DOIUrl":null,"url":null,"abstract":"<p><p>Advancements in cardiac computed tomography angiography (CCTA) have enabled the extraction of physiological data from an anatomy-based imaging modality. This review outlines the key methodologies for deriving fractional flow reserve (FFR) from CCTA, with a focus on two primary methods: 1) computational fluid dynamics-based FFR (CT-FFR) and 2) plaque-derived ischemia assessment using artificial intelligence and quantitative plaque metrics. These techniques have expanded the role of CCTA beyond anatomical assessment, allowing for concurrent evaluation of coronary physiology without the need for invasive testing. This review provides an overview of the principles, workflows, and limitations of each technique and aims to inform on the current state and future direction of non-invasive coronary physiology assessment.</p>","PeriodicalId":94071,"journal":{"name":"Journal of cardiovascular computed tomography","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of cardiovascular computed tomography","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.jcct.2025.07.001","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Advancements in cardiac computed tomography angiography (CCTA) have enabled the extraction of physiological data from an anatomy-based imaging modality. This review outlines the key methodologies for deriving fractional flow reserve (FFR) from CCTA, with a focus on two primary methods: 1) computational fluid dynamics-based FFR (CT-FFR) and 2) plaque-derived ischemia assessment using artificial intelligence and quantitative plaque metrics. These techniques have expanded the role of CCTA beyond anatomical assessment, allowing for concurrent evaluation of coronary physiology without the need for invasive testing. This review provides an overview of the principles, workflows, and limitations of each technique and aims to inform on the current state and future direction of non-invasive coronary physiology assessment.
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