Diagnostic performance of coronary computed tomography angiography stenosis score for coronary stenosis

• Published in: BMC medical imaging 2024-02, Vol.24 (1), p.39-39, Article 39
• Main Authors: Xiong, Qing-Feng, Fu, Xiao-Rong, Ku, Lei-Zhi, Zhou, Di, Guo, Sheng-Peng, Zhang, Wen-Sheng
• Format: Article
• Language: English
• Subjects: Accuracy; Angina pectoris; Angiography; Calcification; Cardiac arrhythmia; Cardiovascular disease; Computed tomography; Computed Tomography Angiography - methods; Constriction, Pathologic; Contrast agents; Coronary angiography; Coronary Angiography - methods; Coronary Artery Disease; Coronary computed tomographic angiography; Coronary heart disease; Coronary Stenosis - diagnostic imaging; Coronary vessels; CT imaging; Diagnosis performance; Diagnostic systems; Flow velocity; Heart diseases; Heart rate; Humans; Ischemia; Medical imaging; Performance evaluation; Predictive Value of Tests; Reduction; Stenosis; Stenosis score; Tomography; Tomography, X-Ray Computed - methods
• ISSN: 1471-2342; 1471-2342
• DOI: 10.1186/s12880-024-01213-8

Coronary computed tomography angiography stenosis score (CCTA-SS) is a proposed diagnosis score that considers the plaque characteristics, myocardial function, and the diameter reduction rate of the lesions. This study aimed to evaluate the diagnostic performance of the CCTA-SS in seeking coronary artery disease (CAD). The 228 patients with suspected CAD who underwent CCTA and invasive coronary angiography (ICA) procedures were under examination. The diagnostic performance was evaluated with the receiver operating curve (ROC) for CCTA-SS in detecting CAD (defined as a diameter reduction of ≥ 50%) and severe CAD (defined as a diameter reduction of ≥ 70%). The area under ROC (AUC) of CCTA-SS was 0.909 (95% CI: 0.864-0.943), which was significantly higher than that of CCTA (AUC: 0.826; 95% CI: 0.771-0.873; P = 0.0352) in diagnosing of CAD with a threshold of 50%. The optimal cutoff point of CCTA-SS was 51% with a sensitivity of 90.66%, specificity of 95.65%, positive predictive value of 98.80%, negative predictive value of 72.13%, and accuracy of 91.67%, whereas the optimal cutoff point of CCTA was 55%, and the corresponding values were 87.36%, 93.48%, 98.15%, 65.15%, and 88.60%, respectively. With a threshold of 70%, the performance of CCTA-SS with an AUC of 0.927 (95% CI: 0.885-0.957) was significantly higher than that of CCTA with an AUC of 0.521 (95% CI: 0.454-0.587) (P