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Interventional Diagnostic Procedure: A Practical Guide for the Assessment of Coronary Vascular Function
Published on: March 15, 2022
Clinical Management and Outcomes Based on Functional Coronary Artery Disease Reporting and Data System Compared With
Chun Xiang Tang1, Fan Zhou1, Hong Yan Qiao2
1Department of Diagnostic Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China.
Insights
Functional Coronary Artery Disease Reporting and Data System (CAD-RADS), integrating CT-FFR, offers superior 5-year prognostic value for stable coronary artery disease (CAD) compared to anatomical CAD-RADS. This improves patient management and treatment algorithms.
Area of Science:
- Cardiology
- Medical Imaging
- Diagnostic Tools
Background:
- Anatomical Coronary Artery Disease Reporting and Data System (CAD-RADS) is standard for coronary CT angiography (CCTA) but lacks specificity for ischemia.
- Predicting lesion-specific ischemia is crucial for effective management of coronary artery disease (CAD).
Purpose of the Study:
- To evaluate the prognostic value of a novel functional CAD-RADS, incorporating CT-derived fractional flow reserve (CT-FFR).
- To compare the 5-year predictive performance of functional CAD-RADS against anatomical CAD-RADS in stable CAD patients.
Main Methods:
- A prospective cohort study of 1096 patients with stable CAD (25%-80% stenosis) undergoing CCTA.
- Primary endpoint was major adverse cardiac events (MACE); management decision appropriateness was assessed.
- Statistical analysis included Kaplan-Meier, Cox models, integrated discrimination improvement (IDI), and net reclassification improvement (NRI).
Main Results:
- Functional CAD-RADS demonstrated superior prediction of MACE compared to anatomical CAD-RADS (C-index 0.780 vs. 0.723, p=0.035).
- Functional CAD-RADS showed improved discrimination (IDI: 0.053, p=0.008) and a lower rate of inappropriate management decisions (9.9% vs. 11.0%).
- Both systems predicted MACE (p < 0.001), with functional CAD-RADS offering better prognostic insights.
Conclusions:
- Functional CAD-RADS provides enhanced predictive power for moderate-term outcomes in stable CAD patients.
- This suggests functional CAD-RADS has significant clinical utility for guiding patient management and treatment strategies.
- The findings are particularly relevant for patients with intermediate coronary artery stenosis.
Purpose:
Although anatomical Coronary Artery Disease Reporting and Data System (CAD-RADS) is widely used for coronary CT angiography reporting, it has limited specificity for predicting lesion-specific ischemia. This study evaluates whether the novel functional CAD-RADS, integrating CT-derived fractional flow reserve, provides superior 5-year prognostic value in patients with stable coronary artery disease (CAD).
Methods:
A single-center prospective cohort study enrolled 1,096 participants aged ≥18 years with CAD referred for CT angiography with stenosis degrees of 25% to 80%. Primary end points were major adverse cardiac events (MACEs). The appropriateness of management decisions relative to anatomical or functional CAD-RADS recommendations was explored. Statistical analyses included Kaplan-Meier estimates, Cox proportional hazards models, measures of integrated discrimination improvement, and net reclassification improvement.
Results:
After a median follow-up of 64 months, 158 MACEs occurred. Both functional and anatomical CAD-RADS categories predicted MACE (P < .001). Functional CAD-RADS showed a higher C-index (0.780; 95% confidence interval [CI]: 0.764-0.796) compared with anatomical CAD-RADS (0.723; 95% CI: 0.703-0.743) for predicting MACE (P = .035), with improved discrimination (integrated discrimination improvement: 0.053 [95% CI: 0.016-0.110]; P = .008). The proportion of inappropriate management decisions was lower for functional CAD-RADS (9.9%) than for anatomical CAD-RADS (11.0%, P < .001). The hazard ratios for MACE when comparing dichotomous appropriate and inappropriate management decisions relative to functional CAD-RADS were 9.544 (95% CI: 5.794-15.720; P < .001), and 2.475 (95% CI: 1.369-4.474); P < .001) for anatomical CAD-RADS recommendations, corresponding to the number needed to treat of 1.912 (95% CI: 1.605-2.364), and 5.076 (95% CI: 3.546-10.204), respectively.
Conclusion:
Functional CAD-RADS may offer improved predictive power for moderate-term outcomes compared with anatomical CAD-RADS, suggesting potential clinical utility in guiding patient management and informing treatment algorithms for CAD, particularly in patients with intermediate stenosis.
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