1
|
Guo W, Liu X, Gao Z, Pirbhulal S, Huang W, Lin WH, Zhang H, Tan N, Zhang YT. Quantification of three-dimensional computed tomography angiography for evaluating coronary luminal stenosis using digital subtraction angiography as the standard of reference. Biomed Eng Online 2015; 14:50. [PMID: 26024658 PMCID: PMC4448537 DOI: 10.1186/s12938-015-0048-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2015] [Accepted: 05/07/2015] [Indexed: 01/05/2023] Open
Abstract
Objective We sought to evaluate the accuracy of quantitative three-dimensional (3D) CT angiography (CTA) for the assessment of coronary luminal stenosis using digital subtraction angiography (DSA) as the standard of reference. Method Twenty-three patients with 54 lesions were referred for CTA followed by DSA. The CTA scans were performed with 256-slice spiral CT. 3D CTA were reconstructed from two-dimensional CTA imaging sequences in order to extract the following quantitative indices: minimal lumen diameter, percent diameter stenosis (%DS), minimal lumen area, and percent area stenosis (%AS). Correlation and limits of agreement were calculated using Pearson correlation and Bland–Altman analysis, respectively. The diagnostic performance and the diagnostic concordance of 3D CTA-derived anatomic parameters (%DS, %AS) for the detection of severe coronary arterial stenosis (as assessed by DSA) were presented as sensitivity, specificity, diagnostic accuracy, and Kappa statistics. Of which vessels with %DS >50% or with %AS >75% were identified as severe coronary arterial lesions. Result The correlations of the anatomic parameters between 3D CTA and DSA were significant (r = 0.51–0.74, P < 0.001). Bland–Altman analysis confirmed that the mean differences were small (from −1.11 to 27.39%), whereas the limits of agreement were relatively wide (from ±28.07 to ±138.64%). Otherwise, the diagnostic accuracy (74.1% with 58.3% sensitivity and 86.7% specificity for DS%; 74.1% with 45.8% sensitivity and 96.7% specificity for %AS) and the diagnostic concordance (k = 0.46 for DS%; 0.45 for %AS) of 3D CTA-derived anatomic parameters for the detection of severe stenosis were moderate. Conclusion 3D advanced imaging reconstruction technique is a helpful tool to promote the use of CTA as an alternative to assess luminal stenosis in clinical practice.
Collapse
Affiliation(s)
- Wei Guo
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
| | - Xin Liu
- Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Shenzhen, 518055, China. .,Key Lab for Health Informatics, Chinese Academy of Sciences, Shenzhen, 518055, China.
| | - Zhifan Gao
- Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Shenzhen, 518055, China. .,Key Lab for Health Informatics, Chinese Academy of Sciences, Shenzhen, 518055, China. .,Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Beijing, China.
| | - Sandeep Pirbhulal
- Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Shenzhen, 518055, China. .,Key Lab for Health Informatics, Chinese Academy of Sciences, Shenzhen, 518055, China. .,Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Beijing, China.
| | - Wenhua Huang
- Institute of Clinical Anatomy, Southern Medical University, Guangzhou, China.
| | - Wan-Hua Lin
- Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Shenzhen, 518055, China. .,Key Lab for Health Informatics, Chinese Academy of Sciences, Shenzhen, 518055, China.
| | - Heye Zhang
- Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Shenzhen, 518055, China. .,Key Lab for Health Informatics, Chinese Academy of Sciences, Shenzhen, 518055, China.
| | - Ning Tan
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
| | - Yuan-Ting Zhang
- Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Shenzhen, 518055, China. .,Key Lab for Health Informatics, Chinese Academy of Sciences, Shenzhen, 518055, China. .,Department of Electronic Engineering, The Joint Research Centre for Biomedical Engineering, Chinese University of Hong Kong, Hong Kong, China.
| |
Collapse
|