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Coronary CT Angiography-Derived Fractional Flow Reserve in Asia and the United States: 2025 Status Update

  • Woo Jin Ahn
  • , Maros Ferencik
  • , Ming Yen Ng
  • , Liang Zhong
  • , Mona Bhatia
  • , Akira Kurata
  • , Pannipa Suwannasom
  • , Yung Liang Wan
  • , Trang Ngoc Nguyen
  • , Suyon Chang
  • , Sung Mok Kim
  • , Hwan Seok Yong
  • , Cherry Kim
  • National Medical Center
  • Oregon Health and Science University
  • The University of Hong Kong
  • National University of Singapore
  • Fortis Healthcare
  • National Hospital Organization Shikoku Cancer Center
  • Chiang Mai University
  • Chang Gung University
  • Bach Mai Hospital
  • The Catholic University of Korea
  • Korea University

Research output: Contribution to journal › Article › peer-review

Abstract

Coronary CT-derived fractional flow reserve (CT-FFR) is a noninvasive alternative to invasive FFR for assessing the hemodynamic significance of coronary artery stenosis. CT-FFR uses routinely acquired coronary CT angiography (CCTA) with artificial intelligence and computational fluid dynamics to estimate pressure gradients, thereby supporting clinical decision-making without procedural risk. Adoption and implementation vary widely across regions. In Asia, South Korea exclusively uses HeartMedi+, which enables rapid analysis, streamlined workflow integration, and high user satisfaction. Japan relies primarily on FFRCT, which has national reimbursement and significantly influences treatment strategies, reducing unnecessary invasive procedures. Hong Kong, Singapore, Taiwan, Thailand, and Vietnam remain in early or exploratory phases due to cost, reimbursement, and infrastructure barriers. In the United States, CT-FFR is guideline-endorsed and reimbursed, where HeartFlow is the most widely used, supported by robust clinical validation and outcome data. Despite regional variability, CT-FFR offers a noninvasive solution that enhances patient management, reduces unnecessary invasive testing, and is poised for broader clinical integration as technology and validation advance.

Original languageEnglish
Pages (from-to)27-33
Number of pages7
JournalKorean Journal of Radiology
Volume27
Issue number1
DOIs
StatePublished - Jan 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Asian Society of Cardiovascular Imaging
  • CT-FFR
  • Coronary CT angiography
  • Coronary artery disease
  • Fractional flow reserve

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