Rationale and design of the INVICTUS Registry: (Multicenter Registry of Invasive and Non-Invasive imaging modalities to compare Coronary Computed Tomography Angiography, Intravascular Ultrasound and Optical Coherence Tomography for the determination of Severity, Volume and Type of coronary atherosclerosiS).

Abstract

BACKGROUND:

Coronary CT angiography (CCTA) is a first-line noninvasive imaging modality for evaluating coronary artery disease (CAD). Recent advances in CCTA technology enabled semi-automated detection of coronary arteries and atherosclerosis. However, there have been to date no large-scale validation studies of automated assessment of coronary atherosclerosis phenotype and coronary artery dimensions by artificial intelligence (AI) compared to current standard invasive imaging.

METHODS:

INVICTUS registry is a multicenter, retrospective, and prospective study designed to evaluate the dimensions of coronary arteries, as well as the characteristic, volume, and phenotype of coronary atherosclerosis by CCTA, compared with the invasive imaging modalities including intravascular ultrasound (IVUS), near-infrared spectroscopy (NIRS)-IVUS and optical coherence tomography (OCT). All patients clinically underwent both CCTA and invasive imaging modalities within three months.

RESULTS:

Patients data are sent to the core-laboratories to analyze for stenosis severity, plaque characteristics and volume. The variables for CCTA are measured using an AI-based automated software and assessed independently with the variables measured at the imaging core laboratories for IVUS, NIRS-IVUS, and OCT in a blind fashion.

CONCLUSION:

The INVICTUS registry will provide new insights into the diagnostic value of CCTA for determining coronary atherosclerosis phenotype and coronary artery dimensions compared to IVUS, NIRS-IVUS, and OCT. Our findings will potentially shed new light on precision medicine informed by an AI-based coronary CTA assessment of coronary atherosclerosis burden, composition, and severity. (ClinicalTrials.gov: NCT04066062).

• Authors: Rine Nakanishi, Ryo Okubo, Yoshihiro Sobue, Umihiko Kaneko, Hideyuki Sato, Shinichiro Fujimoto, Yui Nozaki, Takashi Kajiya, Toru Miyoshi, Keishi Ichikawa, Mitsunori Abe, Toshiro Kitagawa, Hiroki Ikenaga, Kazuhiro Osawa, Mike Saji, Nobuo Iguchi, Gaku Nakazawa, Kuniaki Takahashi, Takeshi Ijich, Hiroshi Mikamo, Akira Kurata, Masao Moroi, Raisuke Iijima, Shant Malkasian, Tami Crabtree, Daniel Chamie, Lansky J Alexandra, James K Min, James P Earls, Hitoshi Matsuo
• Journal: Journal of cardiovascular computed tomography (J Cardiovasc Comput Tomogr) 2023 Nov-Dec Vol. 17 Issue 6 Pg. 401-406 ISSN: 1876-861X [Electronic] United States
• PMID: 37679247 (Publication Type: Multicenter Study, Journal Article)
• Copyright: Copyright © 2023 Society of Cardiovascular Computed Tomography. Published by Elsevier Inc. All rights reserved.

Topics

• Humans
• Coronary Artery Disease (diagnostic imaging)
• Computed Tomography Angiography
• Tomography, Optical Coherence
• Artificial Intelligence
• Prospective Studies
• Retrospective Studies
• Ultrasonography, Interventional (methods)
• Predictive Value of Tests
• Coronary Angiography (methods)
• Plaque, Atherosclerotic
• Coronary Vessels (diagnostic imaging)