Frontiers in Cardiovascular Medicine (Oct 2022)

Clinical assessment of resting full-cycle ratio and fractional flow reserve for coronary artery disease in a real-world cohort

  • Ming-Ju Chuang,
  • Ming-Ju Chuang,
  • Chun-Chin Chang,
  • Chun-Chin Chang,
  • Chun-Chin Chang,
  • Chun-Chin Chang,
  • Yin-Hao Lee,
  • Yin-Hao Lee,
  • Ya-Wen Lu,
  • Ya-Wen Lu,
  • Yi-Lin Tsai,
  • Yi-Lin Tsai,
  • Ruey-Hsing Chou,
  • Ruey-Hsing Chou,
  • Ruey-Hsing Chou,
  • Ruey-Hsing Chou,
  • Cheng-Hsueh Wu,
  • Cheng-Hsueh Wu,
  • Tse-Min Lu,
  • Tse-Min Lu,
  • Po-Hsun Huang,
  • Po-Hsun Huang,
  • Po-Hsun Huang,
  • Po-Hsun Huang

DOI
https://doi.org/10.3389/fcvm.2022.988820
Journal volume & issue
Vol. 9

Abstract

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BackgroundThere are few reports published on the comparison of the resting full-cycle ratio (RFR) and fractional flow reserve (FFR) on the assessment of the severity of coronary stenosis. We aimed to investigate the diagnostic accuracy of RFR for detection of functionally significant coronary lesions.MethodsThis was an observational, retrospective, single-center study. We evaluated both RFR and FFR for 277 coronary lesions of 235 patients who underwent coronary angiography. Patients presenting with chronic coronary syndrome, unstable angina, or non-ST-elevation myocardial infarction were included.ResultsThe mean FFR and RFR values were 0.84 ± 0.08 and 0.90 ± 0.08, respectively. RFR significantly correlated with FFR (r = 0.727, P < 0.001). The agreement rate between the FFR and RFR was 79.8% (221/277). The diagnostic performance of RFR vs. FFR was accuracy 79.8%, sensitivity 70.4%, specificity 83.7%, positive predictive value 64.0%, and negative predictive value 87.2%. The discriminative power of RFR to identify lesions with FFR ≤ 0.80 was acceptable when the RFR value was within the gray zone [0.86 ≤ RFR ≤ 0.93; AUC: 0.72 (95% CI:0.63–0.81)], while it was excellent when the RFR value was out of the gray zone [RFR > 0.93 or < 0.86; AUC: 0.94 (95% CI:0.88–0.99)].ConclusionRFR was significantly correlated with FFR in the assessment of intermediate coronary stenosis. An RFR-FFR hybrid approach increases the diagnostic accuracy of RFR in the detection of functionally significant lesions.

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