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Published on: April 13, 2015
Adjustment of CT-fractional flow reserve based on fluid-structure interaction underestimation to minimize 1-year
Etsuro Kato1, Shinichiro Fujimoto2, Kanako K Kumamaru3
1Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo Bunkyo-ku, Tokyo, 113-8421, Japan.
Insights
Determining the optimal cut-off for CT-Fractional Flow Reserve (CT-FFR) is crucial for minimizing cardiac events. Adjusting CT-FFR, especially with lower disease prevalence, improves event reduction strategies.
Area of Science:
- Cardiovascular Imaging
- Interventional Cardiology
- Computational Fluid Dynamics
Background:
- Coronary CT angiography (CCTA) is widely used for coronary artery disease assessment.
- Functional significance of coronary stenosis is best assessed by invasive fractional flow reserve (i-FFR).
- CT-derived Fractional Flow Reserve (CT-FFR) offers a non-invasive alternative but requires validation.
Purpose of the Study:
- To determine the optimal cut-off value of CT-FFR for minimizing 1-year cardiac events.
- To evaluate methods for adjusting CT-FFR underestimation.
- To assess CT-FFR accuracy against invasive FFR in detecting functionally significant stenosis.
Main Methods:
- 320-row CCTA and i-FFR were performed in 38 patients (44 vessels) with 30-90% stenosis.
- CT-FFR was calculated using fluid-structure interaction analysis from CCTA data.
- Hypothetical 1-year cardiac event incidence was estimated based on CT-FFR thresholds and disease prevalence.
- CT-FFR underestimation was addressed using a specific adjustment formula.
Main Results:
- CT-FFR ≤ 0.8 showed high diagnostic accuracy (81.6%) for detecting functional stenosis (i-FFR ≤ 0.80).
- Optimal CT-FFR cut-off for minimizing cardiac events was 0.80 for disease prevalence >30%, but 0.54 for lower prevalences.
- Adjusting CT-FFR values < 0.7 using the formula 0.3X + 0.634 reduced predicted cardiac events by 7.7% to 19.0% across different disease prevalences.
Conclusions:
- A CT-FFR cut-off of 0.80 is reasonable for minimizing 1-year cardiac events when disease prevalence exceeds 30%.
- CT-FFR underestimation requires adjustment, particularly in cases of low disease prevalence, to effectively reduce cardiac events.
- CT-FFR, when appropriately interpreted and adjusted, can serve as a valuable non-invasive tool for guiding revascularization decisions.
Abstract:
The purpose of the study was to evaluate the optimal cut-off value of CT-Fractional Flow Reserve (CT-FFR) using fluid-structure interaction and how to adjust the CT-FFR's underestimation from a standpoint of minimize 1-year cardiac events. Subjects were 38 cases with 44 vessels in which stenosis of 30-90% was detected using one-rotation scanning by 320-row coronary CT angiography (CCTA) and invasive FFR (i-FFR) was performed within subsequent 90 days. CT-FFR was calculated using on-site from the multiple cardiac phases. A hypothetical 1-year cardiac event incidence was estimated using previous evidences when revascularization was decided based on CT-FFR. We assessed the optimal cut-off value of CT-FFR and how to correct the CT-FFR to minimize hypothetical cardiac events under four different disease prevalence (20%, 25%, 30%, 35%, and 40%). A total of 16 vessels had i-FFR ≤ 0.8. On per-patient basis, the sensitivity, specificity, positive predict value, negative predict value, and diagnostic accuracy of CT-FFR ≦ 0.8 vs CCTA > 50% to detect functional stenosis defined as invasive FFR ≦ 0.80 were 93.3% vs 73.3%, 73.9% vs 26.1%, 70.0% vs 39.3%, 94.4% vs 60.0%, and 81.6% vs 44.7%, respectively. For minimize 1-year cardiac events, the optimal cut-off value for more than 30% of disease prevalence was 0.80. However, the optimal cut-off value for 20, 25, and 30% was 0.54 in any cases. After the adjustment of CT-FFR using a formula of 0.3X + 0.634 for CT-FFR < 0.7 to counteract its underestimation, the % reduction of the events for 20, 25, 30, 35, and 40% at a 0.80 cut-off were 19.0%, 15.6%, 12.6%, 10.0%, and 7.7% respectively. It was reasonable to support that the optimal cut-off value was 0.80 in disease prevalence of more than 30% for minimize 1-year cardiac events. However, underestimation should be adjusted to reduce cardiac events, especially when disease prevalence is low.
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