What the study found
Coronary computed tomography (CT) angiography, a non-invasive imaging test that uses CT scans to view blood vessels, identified coronary artery anomalies in 1.82% of the patients studied. The most common anomaly was a high take-off origin of the right coronary artery.
Why the authors say this matters
The authors conclude that coronary CT angiography is an indispensable tool for diagnosing and characterizing coronary artery anomalies. They also say it provides detailed preoperative evaluation and that demographic differences should be addressed with tailored approaches.
What the researchers tested
The researchers reviewed 2,786 patients who underwent coronary CT angiography between November 2018 and October 2023. They identified 53 cases of coronary artery anomalies and classified them by origin, course, and structure using a dual-source CT scanner.
What worked and what didn't
The abstract does not compare CT angiography with other imaging methods, and it does not report detailed outcome measures from surgery.
What to keep in mind
This was a retrospective study from a single time period and a relatively small number of anomaly cases was identified. The abstract also calls for standardized protocols and further multicenter research.
Key points
- Coronary artery anomalies were found in 1.82% of 2,786 patients.
- The most common anomaly was a high take-off origin of the right coronary artery.
- Left main anomalies were more frequent in males, while malignant courses occurred only in females.
- Coronary CT angiography provided 3D visualization for preoperative planning.
- The authors call for standardized protocols and further multicenter research.
Disclosure
- Research title:
- CT angiography identified diverse coronary artery anomalies
- Authors:
- Atilla Orhan, Ayşe Arı, Mustafa Koplay, Ömer Faruk Çiçek
- Institutions:
- Selçuk Üniversitesi Tıp Fakültesi Hastanesi, Selçuk Üniversitesi Tıp Fakültesi Hastanesi, Selçuk Üniversitesi Tıp Fakültesi Hastanesi, Selçuk Üniversitesi Tıp Fakültesi Hastanesi
- Publication date:
- 2026-02-24
- OpenAlex record:
- View
Get the weekly research newsletter
Stay current with scholarly research without reading academic papers — one filtered digest, every Friday.