Non-invasive computed fractional flow reserve from computed tomography (Ct) for diagnosing coronary artery disease; japanese results from nxt trial (analysis of coronary blood flow using ct angiography: Next steps)

Toru Miyoshi, Kazuhiro Osawa, Hiroshi Ito, Susumu Kanazawa, Takeshi Kimura, Hiroki Shiomi, Sachio Kuribayashi, Masahiro Jinzaki, Akio Kawamura, Hiram Bezerra, Hiram Bezerra, Bjarne L. Nørgaard

研究成果査読

24 被引用数 (Scopus)

抄録

Background: Recently, a non-invasive method using computational fluid dynamics to calculate vessel-specific fractional flow reserve (FFRct) from routinely acquired coronary computed tomography angiography (CTA) was described. The Analysis of Coronary Blood Flow Using CT Angiography: Next Steps (NXT) trial, which was a prospective, multicenter trial including 254 patients with suspected coronary artery disease, noted high diagnostic performance of FFRct compared with invasive FFR. The aim of this post-hoc analysis was to assess the diagnostic performance of non-invasive FFRct vs. standard stenosis quantification on coronary CTA in the Japanese subset of the NXT trial.

Conclusions: FFRct has high diagnostic performance compared with invasive FFR in the Japanese subset of patients in the NXT trial.

Methods and Results: A total of 57 Japanese participants were included from Okayama University (n=36), Kyoto University (n=17), and Keio University (n=4) Hospitals. Per-patient diagnostic accuracy of FFRct (74%; 95% confidence interval [CI]: 60–85%) was higher than for coronary CTA (47%; 95% CI: 34–61%, P<0.001) arising from improved specificity (63% vs. 27%, P<0.001). FFRct correctly reclassified 53% of patients and 63% of vessels with coronary CTA false positives as true negatives. When patients with Agatston score >1,000 were excluded, per-pa-tient accuracy of FFRct was 83% with a high specificity of 76%, similar to the overall NXT trial findings.

本文言語English
ページ(範囲)406-412
ページ数7
ジャーナルCirculation Journal
79
2
DOI
出版ステータスPublished - 1月 16 2015

ASJC Scopus subject areas

  • 循環器および心血管医学

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