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Functional CAD-RADS using FFRCT on therapeutic management and prognosis in patients with coronary artery disease
Chun Xiang Tang1, Hong Yan Qiao1, Xiao Lei Zhang1
1Department of Diagnostic Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China.
Insights
A new functional Coronary Artery Disease-Reporting and Data System (CAD-RADS) using FFR_CT improves therapeutic decisions and predicts prognosis in CAD patients. This functional CAD-RADS offers superior guidance over anatomical CAD-RADS for better patient outcomes.
Area of Science:
- Cardiology
- Radiology
- Medical Imaging
Background:
- Coronary Artery Disease (CAD) management relies on accurate risk stratification.
- Anatomical Coronary Artery Disease-Reporting and Data System (CAD-RADS) using coronary CT angiography (CCTA) provides anatomical information.
- Functional assessment using fractional flow reserve (FFR) is crucial for guiding treatment but is invasive.
Purpose of the Study:
- To introduce a novel functional CAD-RADS category system integrating CCTA-derived fractional flow reserve (FFR_CT).
- To assess the impact of this functional CAD-RADS on therapeutic decision-making.
- To validate the prognostic value of functional CAD-RADS in patients with CAD.
Main Methods:
- Proposed a novel functional CAD-RADS system.
- Evaluated its performance in guiding treatment strategies against actual clinical treatment in a retrospective cohort (n=466) with CCTA and invasive FFR.
- Calculated Net Reclassification Improvement (NRI) against anatomical CAD-RADS.
- Assessed prognostic value in a prospective two-arm cohort (FFR_CT vs. CCTA) over 1-year follow-up using Cox hazard proportional models.
Main Results:
- Functional CAD-RADS showed superior value over anatomical CAD-RADS in guiding therapeutic decisions (AUC: 0.828 vs. 0.681, p < 0.001).
- It demonstrated comparable performance to invasive FFR (AUC: 0.828 vs. 0.848, p = 0.253).
- Functional CAD-RADS led to management plan revisions in 30.0% of patients (NRI = 0.369, p < 0.001) and was an independent predictor of 1-year outcomes (concordance index 0.795).
Conclusions:
- The novel functional CAD-RADS, integrating FFR_CT, offers incremental value in therapeutic decision-making compared to anatomical CAD-RADS.
- It possesses comparable power to anatomical CAD-RADS in predicting 1-year prognosis in a real-world setting.
- This functional approach enhances risk stratification and guides treatment more effectively in CAD patients.
Objectives:
To propose a novel functional Coronary Artery Disease-Reporting and Data System (CAD-RADS) category system integrated with coronary CT angiography (CCTA)-derived fractional flow reserve (FFRCT) and to validate its effect on therapeutic decision and prognosis in patients with coronary artery disease (CAD).
Methods:
Firstly, we proposed a novel functional CAD-RADS and evaluated the performance of functional CAD-RADS for guiding treatment strategies with actual clinical treatment as a reference standard in a retrospective multicenter cohort with CCTA and invasive FFR performed in all patients (n = 466). Net reclassification improvement (NRI) of functional CAD-RADS over anatomical CAD-RADS was calculated. Secondly, the prognostic value of functional CAD-RADS in a prospective two-arm cohort (566 [FFRCT arm] vs. 567 [CCTA arm]) was calculated, after a 1-year follow-up, functional CAD-RADS in FFRCT arm (n = 513) and anatomical CAD-RADS in CCTA arm (n = 511) to determine patients at risk of adverse outcomes were compared with a Cox hazard proportional model.
Results:
Functional CAD-RADS demonstrated superior value over anatomical CAD-RADS (AUC: 0.828 vs. 0.681, p < 0.001) and comparable performance to FFR (AUC: 0.828 vs. 0.848, p = 0.253) in guiding therapeutic decisions. Functional CAD-RADS resulted in the revision of management plan as determined by anatomical CAD-RADS in 30.0% of patients (n = 140) (NRI = 0.369, p < 0.001). Functional CAD-RADS was an independent predictor for 1-year outcomes with indexes of concordance of 0.795 and the corresponding value was 0.751 in anatomical CAD-RADS.
Conclusion:
The novel functional CAD-RADS gained incremental value in guiding therapeutic decision-making compared with anatomical CAD-RADS and comparable power in 1-year prognosis with anatomical CAD-RADS in a real-world scenario.
Key Points:
• The novel functional CAD-RADS category system with FFRCT integrated into the anatomical CAD-RADS categories was originally proposed. • The novel functional CAD-RADS category system was validated superior value over anatomical CAD-RADS (AUC: 0.828 vs. 0.681, p < 0.001) in guiding therapeutic decisions and revised management plan in 30.0% of patients as determined by anatomical CAD-RADS (net reclassification improvement index = 0.369, p < 0.001). • Functional CAD-RADS was an independent predictor with an index of concordance of 0.795 and 0.751 in anatomical CAD-RADS for 1-year prognosis of adverse outcomes.
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