Effect of Coronary Computed Tomography Angiography-Derived Fractional Flow Reserve on Physicians’ Clinical Behavior ― Differences Between Sites With and Without Appropriate Use Criteria as Designated by the Japanese Reimbursement System ―
Year: 2020
Type: article
Study design: Observational Study
Abstract: Background:Coronary computed tomography angiography (CCTA)-derived fractional flow reserve (FFRCT) is an established tool for identifying lesion-specific ischemia that is now approved for use by the Japanese insurance system. However, current clinical reimbursement is strictly limited to institutions with designated appropriate use criteria (AUC). This study assessed differences in physicians’ behavior (e.g., use and interpretation of FFRCT, final management) according to Japanese AUC and non-AUC site designation.
Source: Circulation Reports
Authors: Hitoshi Matsuo, Tomohiro Kawasaki, Tetsuya Amano, Yoshiaki Kawase, Yoshihiro Sobue, Takeshi Kondo, Yoshihiro Morino, Shunichi Yoda, Tomohiro Sakamoto, Hiroshi Ito, Junya Shite, Hiromasa Otake, Nobuhiro Tanaka, Mitsuyasu Terashima, Kazushige Kadota, Manesh R. Patel, Koen Nieman, Campbell Rogers, Bjarne L. Norgaard, Jeroen J. Bax, Kavitha M. Chinnaiyan, Daniel S. Berman, Timothy A. Fairbairn, Lynne M. Hurwitz Koweek, Jonathon Leipsic, Takashi Akasaka
Institutions: Gifu Heart Center, Shin Koga Hospital, Aichi Medical University, Iwate Medical University, Nihon University Itabashi Hospital, Saiseikai Kumamoto Hospital, Okayama University, Saiseikai Nakatsu Hospital, Kobe University, Tokyo Medical University Hachioji Medical Center, Toyohashi Heart Center, Kurashiki Central Hospital, Duke University, Duke Medical Center, Duke Clinical Research Institute, Erasmus MC, HeartFlow (United States), Aarhus University Hospital, Leiden University Medical Center, Cedars-Sinai Smidt Heart Institute, University of Liverpool, Liverpool Heart and Chest Hospital, University of British Columbia, Wakayama Medical University, Wakayama University
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W3033210674
