Adjustment of CT-fractional flow reserve based on fluid–structure interaction underestimation to minimize 1-year cardiac events

The purpose of the study was to evaluate the optimal cut-off value of CT-Fractional Flow Reserve (CT-FFR) using fluid–structure interaction and how to adjust the CT-FFR’s underestimation from a standpoint of minimize 1-year cardiac events. Subjects were 38 cases with 44 vessels in which stenosis of...

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Veröffentlicht in:Heart and vessels 2020-02, Vol.35 (2), p.162-169
Hauptverfasser: Kato, Etsuro, Fujimoto, Shinichiro, Kumamaru, Kanako K., Kawaguchi, Yuko O., Dohi, Tomotaka, Aoshima, Chihiro, Kamo, Yuki, Takamura, Kazuhisa, Kato, Yoshiteru, Hiki, Makoto, Okai, Iwao, Okazaki, Shinya, Aoki, Shigeki, Daida, Hiroyuki
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Sprache:eng
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Zusammenfassung:The purpose of the study was to evaluate the optimal cut-off value of CT-Fractional Flow Reserve (CT-FFR) using fluid–structure interaction and how to adjust the CT-FFR’s underestimation from a standpoint of minimize 1-year cardiac events. Subjects were 38 cases with 44 vessels in which stenosis of 30–90% was detected using one-rotation scanning by 320-row coronary CT angiography (CCTA) and invasive FFR (i-FFR) was performed within subsequent 90 days. CT-FFR was calculated using on-site from the multiple cardiac phases. A hypothetical 1-year cardiac event incidence was estimated using previous evidences when revascularization was decided based on CT-FFR. We assessed the optimal cut-off value of CT-FFR and how to correct the CT-FFR to minimize hypothetical cardiac events under four different disease prevalence (20%, 25%, 30%, 35%, and 40%). A total of 16 vessels had i-FFR ≤ 0.8. On per-patient basis, the sensitivity, specificity, positive predict value, negative predict value, and diagnostic accuracy of CT-FFR ≦ 0.8 vs CCTA > 50% to detect functional stenosis defined as invasive FFR ≦ 0.80 were 93.3% vs 73.3%, 73.9% vs 26.1%, 70.0% vs 39.3%, 94.4% vs 60.0%, and 81.6% vs 44.7%, respectively. For minimize 1-year cardiac events, the optimal cut-off value for more than 30% of disease prevalence was 0.80. However, the optimal cut-off value for 20, 25, and 30% was 0.54 in any cases. After the adjustment of CT-FFR using a formula of 0.3X + 0.634 for CT-FFR 
ISSN:0910-8327
1615-2573
DOI:10.1007/s00380-019-01480-4