Artificial intelligence-based coronary computed tomography angiography quantification of atherosclerosis burden: comparison with intravascular ultrasound in the INVICTUS Registry
Question Coronary atheroma burden is a powerful predictor of cardiovascular events. Can AI-based coronary CT angiography (CCTA) accurately quantify atherosclerotic burden across the full disease spectrum when compared with intravascular ultrasound (IVUS)? Findings AI-based CCTA quantification (AI-QCT) showed strong correlations with IVUS for plaque volume, burden, and calcium across whole coronary segments, including non-calcified and low-attenuation plaques. Clinical relevance AI-QCT provides rapid, automatic, and accurate atherosclerosis quantification without reader-dependent variability, enabling standardized cardiovascular risk assessment, treatment monitoring, and therapeutic decision-making across all disease severity spectrum in routine clinical practice.
Authors
- Daniel Bandeira (ORCID: https://orcid.org/0000-0001-5854-7066)
- Takashi Kajiya (ORCID: https://orcid.org/0000-0001-7353-1206)
- Hiroshi Mikamo (ORCID: https://orcid.org/0000-0003-3097-7202)
- Akira Kurata
- Toshiro Kitagawa (ORCID: https://orcid.org/0000-0002-5433-2428)
- Umihiko Kaneko (ORCID: https://orcid.org/0000-0003-2392-5084)
- Kazuhiro Osawa (ORCID: https://orcid.org/0000-0002-3558-4347)
- Keishi Ichikawa (ORCID: https://orcid.org/0000-0003-0657-514X)
- Abigail Demuyakor (ORCID: https://orcid.org/0000-0002-3182-2723)
- Shant Malkasian (ORCID: https://orcid.org/0000-0002-6478-4321)
- Toru Miyoshi (ORCID: https://orcid.org/0000-0002-8701-9200)
- Helen Parise
- Rine Nakanishi
- Yui Nozaki
- Mike Saji
- Daniel Chamié
- Takeshi IJICHI
- James P. Earls
- Hitoshi Matsuo
- Hiroki Ikenaga
- Yoshihiro Sobue
- Raisuke Iijima
- Gary S. Mintz
- Nobuo Iguchi
- Hideyuki Sato
- Kuniaki Takahashi
- Ryo Okubo
- Gaku Nakazawa
- Masao Moroi
- Alexandra J. Lansky
- Shinichiro Fujimoto
Institutions
- Hiroshima University (JP)
- Toho University (JP)
- Tokai University (JP)
- Okayama University (JP)
- Kawasaki Medical School (JP)
- George Washington University (US)
- Yale University (US)
- Juntendo University (JP)
- University of California San Diego (US)
- Toho University Ohashi Medical Center (JP)
- Toho University Omori Medical Center (JP)
- Cardiovascular Center Hokkaido Ohno Hospital (JP)
- Okayama Red Cross General Hospital (JP)
- Toho University Medical Center Sakura Hospital (JP)
- Sakakibara Hospital (JP)
- Shikoku Cancer Center (JP)
- Cardiovascular Research Foundation (US)
- Edogawa Hospital (JP)
- Gifu Heart Center (JP)
- Ehime University (JP)
- Kindai University (JP)
Publication Details
- Journal
- European Radiology
- Published
- 2026-03-04
- DOI
- https://doi.org/10.1007/s00330-026-12412-y
- Citations
- 1
- Primary Topic
- Coronary Interventions and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 39.15
Funders
- National Institutes of Health
- Japan Society for the Promotion of Science