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Semi-Automatic Graphical Tool for Measuring Coronary Artery Spatially Weighted Calcium Score from Gated Cardiac Computed Tomography Images
Published on: September 22, 2023
Noninvasive assessment of coronary artery disease by multislice spiral computed tomography using a new
Yuichi Sato1, Naoya Matsumoto, Masahiko Kato
1Department of Cardiology, Nihon University Surugadai Hospital, Tokyo, Japan. yuichisatoh@mac.com
Insights
This study shows multislice spiral computed tomography (MSCT) with a new ECG-gated method accurately detects coronary artery disease. The technique achieved high sensitivity and specificity, offering a reliable alternative to coronary angiography (CAG).
Area of Science:
- Cardiovascular Imaging
- Radiology
- Medical Diagnostics
Background:
- Coronary artery disease diagnosis relies on invasive methods like coronary angiography (CAG).
- Multislice spiral computed tomography (MSCT) offers a non-invasive alternative but can be limited by cardiac motion artifacts.
Purpose of the Study:
- To evaluate the diagnostic accuracy of MSCT using a novel retrospectively ECG-gated reconstruction method for detecting coronary artery disease.
- To compare the accuracy of this MSCT technique against conventional coronary angiography (CAG).
Main Methods:
- 54 patients underwent both MSCT and CAG.
- MSCT utilized a 4-detector-row scanner with specific parameters and oral metoprolol administration.
- A new retrospectively ECG-gated reconstruction method was applied to minimize cardiac motion artifacts.
Main Results:
- 95.4% of coronary arteries were assessable by MSCT.
- Sensitivity for detecting stenoses >or=50% was 93.5%, and specificity for luminal narrowing <50% was 97.2%.
- Positive and negative predictive values were both 93.5% and 97.2%, respectively.
Conclusions:
- The novel retrospectively ECG-gated reconstruction method significantly enhances MSCT accuracy for coronary artery disease detection.
- This MSCT technique demonstrates excellent diagnostic performance, comparable to CAG.
- The method provides a highly accurate, non-invasive option for diagnosing significant coronary artery stenoses.
Abstract:
The present study was designed to investigate the accuracy of multislice spiral computed tomography (MSCT) in detecting coronary artery disease, compared with coronary angiography (CAG), using a new retrospectively ECG-gated reconstruction method that reduced cardiac motion artifact. The study group comprised 54 consecutive patients undergoing MSCT and CAG. MSCT was performed using a SOMATOM Volume Zoom (4-detector-row, Siemens, Germany) with slice thickness 1.0 mm, pitch 1.5 (table feed: 1.5 mm per rotation) and gantry rotation time 500 ms. Metoprolol (20-60 mg) was administered orally prior to MSCT imaging. ECG-gated image reconstruction was performed with the reconstruction window (250 ms) positioned immediately before atrial contraction in order to reduce the cardiac motion artifact caused by the abrupt diastolic ventricular movement occurring during the rapid filling and atrial contraction periods. Following inspection of the volume rendering images, multiplanar reconstruction images and axial images of the left main coronary artery (LMCA), left anterior descending artery (LAD), left circumflex artery (LCx) and right coronary artery (RCA) were obtained and evaluated for luminal narrowing. The results were compared with those obtained by CAG. Of 216 coronary arteries, 206 (95.4%) were assessable; 10 arteries were excluded from the analysis because of severe calcification (n=4), stents (n=3) or insufficient contrast enhancement (n=3). The sensitivity to detect coronary stenoses >or=50% was 93.5% and the specificity to define luminal narrowing <50% was 97.2%. The positive predictive value and the negative predictive value were 93.5% and 97.2%, respectively. The sensitivity was still satisfactory (80.6%) even when non-assessable arteries were included in the analysis. The new retrospectively ECG-gated reconstruction method for MSCT has excellent diagnostic accuracy in detecting significant coronary artery stenoses.
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