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Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans
Published on: August 28, 2018
Reproducibility of noncalcified coronary artery plaque burden quantification from coronary CT angiography across
Shane Oberoi1, Felix G Meinel, U Joseph Schoepf
11 Department of Radiology and Radiological Science, Medical University of South Carolina, 25 Courtenay Dr, Ashley River Tower, Charleston, SC 29425.
Insights
Commercial software for quantifying noncalcified coronary artery plaque volume shows good intraplatform reproducibility but poor interplatform reproducibility. Consistent use of the same software is crucial for serial or comparative assessments of coronary artery disease (CAD).
Area of Science:
- Cardiovascular Imaging
- Medical Software Evaluation
- Quantitative Plaque Analysis
Background:
- Noncalcified coronary artery plaque burden is a key indicator of coronary artery disease (CAD).
- Accurate quantification of plaque volume is essential for monitoring disease progression and treatment efficacy.
- Commercial software platforms are increasingly used for automated plaque quantification from coronary CT angiography (CTA).
Purpose of the Study:
- To assess the reproducibility of noncalcified coronary artery plaque burden quantification across different commercial analysis platforms.
- To compare the performance of three distinct software platforms in measuring plaque volume from identical coronary CTA datasets.
Main Methods:
- 47 patients with noncalcified plaques on coronary CTA were included.
- Automated plaque volume quantification was performed using three commercial software platforms (1-3).
- Identical attenuation ranges (0-50 HU for low, 50-130 HU for medium) were applied; data analyzed using Pearson correlation and Bland-Altman analysis.
Main Results:
- Intraplatform repeat measurements showed statistically insignificant differences (p=0.923).
- Significant interplatform differences in log plaque volumes were observed, particularly at the low-attenuation threshold (p<0.001).
- Pearson correlation coefficients between platforms ranged from 0.550 to 0.677, indicating moderate agreement.
Conclusions:
- Current noncalcified plaque quantification software offers good intraplatform reproducibility but poor interplatform reproducibility.
- Serial or comparative plaque assessments necessitate the use of the same software platform.
- Development of industry standards is recommended to ensure reproducible cross-manufacturer assessments.
Objective:
The objective of our study was to evaluate the reproducibility of noncalcified coronary artery plaque burden quantification from coronary CT angiography (CTA) across different commercial analysis platforms.
Materials And Methods:
For this study, 47 patients (36 men, 11 women; mean age ± SD, 62 ± 13 years) with noncalcified plaques on coronary CTA were included. Automated quantification of noncalcified coronary artery plaque volume was performed on identical datasets using three commercially available image analysis software platforms (software platforms 1-3). Identical tissue attenuation ranges between 0 and 50 HU for low-attenuation plaques and 50-130 HU for medium-attenuation plaques were consistently applied. Log volume data were compared with the Pearson correlation coefficient and Bland-Altman analysis.
Results:
Differences in plaque volume measurements on intraplatform repeat measurements were statistically insignificant (p = 0.923). At the low-attenuation threshold, software platform 3 had significantly higher log volumes (p < 0.001) than both software platforms 1 and 2 and software platform 1 had significantly higher log volumes than software platform 2 (p < 0.001). The results at the medium-attenuation level were identical except that the log volumes for software platforms 1 and 2 were not significantly different (p > 0.05) in the left anterior descending artery and left circumflex artery. The Pearson correlation coefficient was found to be 0.677 (p < 0.001; 95% CI, 0.608-0.735) between software platforms 1 and 2, 0.672 (p < 0.001; 95% CI, 0.603-0.732) between software platforms 1 and 3, and 0.550 (p < 0.001; 95% CI, 0.463-0.627) between software platforms 2 and 3.
Conclusion:
Currently available noncalcified plaque quantification software provides good intraplatform reproducibility but poor interplatform reproducibility. Serial or comparative assessments require evaluation using the same software. Industry standards should be developed to enable reproducible assessments across manufacturers.
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