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A prospective multicenter validation study for a novel angiography-derived physiological assessment software: Rationale and design of the radiographic imaging validation and evaluation for Angio-iFR (ReVEAL iFR) study.

Publication ,  Journal Article
Ono, M; Serruys, PW; Patel, MR; Escaned, J; Akasaka, T; Lavieren, MAV; Haase, C; Grass, M; Kogame, N; Hara, H; Kawashima, H; Wykrzykowska, JJ ...
Published in: Am Heart J
September 2021

Angiography-derived physiological assessment of coronary lesions has emerged as an alternative to wire-based assessment aiming at less-invasiveness and shorter procedural time as well as cost effectiveness in physiology-guided decision making. However, current available image-derived physiology software have limitations including the requirement of multiple projections and are time consuming. METHODS/DESIGN: The ReVEAL iFR (Radiographic imaging Validation and EvALuation for Angio-iFR) trial is a multicenter, multicontinental, validation study which aims to validate the diagnostic accuracy of the Angio-iFR medical software device (Philips, San Diego, US) in patients undergoing angiography for Chronic Coronary Syndrome (CCS). The Angio-iFR will enable operators to predict both the iFR and FFR value within a few seconds from a single projection of cine angiography by using a lumped parameter fluid dynamics model. Approximately 440 patients with at least one de-novo 40% to 90% stenosis by visual angiographic assessment will be enrolled in the study. The primary endpoint is the sensitivity and specificity of the iFR and FFR for a given lesion compared to the corresponding invasive measures. The enrollment started in August 2019, and was completed in March 2021. SUMMARY: The Angio-iFR system has the potential of simplifying physiological evaluation of coronary stenosis compared with available systems, providing estimates of both FFR and iFR. The ReVEAL iFR study will investigate the predictive performance of the novel Angio-iFR software in CCS patients. Ultimately, based on its unique characteristics, the Angio-iFR system may contribute to improve adoption of functional coronary assessment and the workflow in the catheter laboratory.

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Published In

Am Heart J

DOI

EISSN

1097-6744

Publication Date

September 2021

Volume

239

Start / End Page

19 / 26

Location

United States

Related Subject Headings

  • Software
  • Severity of Illness Index
  • Sensitivity and Specificity
  • Radiographic Image Interpretation, Computer-Assisted
  • Predictive Value of Tests
  • Outcome Assessment, Health Care
  • Humans
  • Dimensional Measurement Accuracy
  • Coronary Vessels
  • Coronary Stenosis
 

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Ono, M., Serruys, P. W., Patel, M. R., Escaned, J., Akasaka, T., Lavieren, M. A. V., … Onuma, Y. (2021). A prospective multicenter validation study for a novel angiography-derived physiological assessment software: Rationale and design of the radiographic imaging validation and evaluation for Angio-iFR (ReVEAL iFR) study. Am Heart J, 239, 19–26. https://doi.org/10.1016/j.ahj.2021.05.004
Ono, Masafumi, Patrick W. Serruys, Manesh R. Patel, Javier Escaned, Takashi Akasaka, Martijn A van Lavieren, Christian Haase, et al. “A prospective multicenter validation study for a novel angiography-derived physiological assessment software: Rationale and design of the radiographic imaging validation and evaluation for Angio-iFR (ReVEAL iFR) study.Am Heart J 239 (September 2021): 19–26. https://doi.org/10.1016/j.ahj.2021.05.004.
Ono M, Serruys PW, Patel MR, Escaned J, Akasaka T, Lavieren MAV, Haase C, Grass M, Kogame N, Hara H, Kawashima H, Wykrzykowska JJ, Piek JJ, Garg S, O’Leary N, Inderbitzen B, Onuma Y. A prospective multicenter validation study for a novel angiography-derived physiological assessment software: Rationale and design of the radiographic imaging validation and evaluation for Angio-iFR (ReVEAL iFR) study. Am Heart J. 2021 Sep;239:19–26.
Journal cover image

Published In

Am Heart J

DOI

EISSN

1097-6744

Publication Date

September 2021

Volume

239

Start / End Page

19 / 26

Location

United States

Related Subject Headings

  • Software
  • Severity of Illness Index
  • Sensitivity and Specificity
  • Radiographic Image Interpretation, Computer-Assisted
  • Predictive Value of Tests
  • Outcome Assessment, Health Care
  • Humans
  • Dimensional Measurement Accuracy
  • Coronary Vessels
  • Coronary Stenosis