296 Morphometric Assessment of Coronary Artery Stenoses Using Optical Coherence Tomography Compared to Fractional Flow Reserve In Patients With Stable Chest Pain Versus Acute Coronary Syndromes

2012 ◽  
Vol 28 (5) ◽  
pp. S204-S205
Author(s):  
R. Poulter ◽  
I. Lim ◽  
D.A. Wood ◽  
J. Saw ◽  
A. Fung ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Chest Pain ◽  
Coronary Artery ◽  
Acute Coronary Syndromes ◽  
Fractional Flow ◽  
Flow Reserve ◽  
Coronary Artery Stenoses ◽  
Coronary Syndromes ◽  
Stable Chest Pain ◽  
Morphometric Assessment

scholarly journals Computed Tomography-Derived Fractional Flow Reserve for the Diagnosis of Coronary Artery Disease

2021 ◽  
Vol 1 (11) ◽  
Author(s):  
Yi-Sheng Chao ◽  
Jennifer Horton
Keyword(s):  
Computed Tomography ◽  
Coronary Artery Disease ◽  
Chest Pain ◽  
Coronary Artery ◽  
Fractional Flow Reserve ◽  
Adult Patients ◽  
Fractional Flow ◽  
Flow Reserve ◽  
Artery Disease ◽  
Stable Chest Pain

Computed tomography-derived fractional flow reserve (CT-FFR) may predict coronary artery disease or flow-limiting stenosis in adult patients with stable chest pain better than coronary CT angiography alone, based on the relevant studies in 2 systematic reviews. CT-FFR is associated with a decreased need for invasive coronary angiography and revascularization in adult patients with stable chest pain, based on findings from 1 systematic review. In the US settings, CT-FFR was dominant (i.e., less costly and more effective) compared to stress testing for the evaluation of low-risk stable chest pain, based on findings from 1 cost-effectiveness study.

P6175Prediction of coronary revascularization by coronary computed tomography angiography derived fractional flow reserve - different algorithms for interpretation

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
K T Madsen ◽  
K T Veien ◽  
B L Noergaard ◽  
P Larsen ◽  
L Deibjerg ◽  
...  
Keyword(s):  
Chest Pain ◽  
Fractional Flow Reserve ◽  
Predictive Value ◽  
Diagnostic Performance ◽  
Coronary Revascularization ◽  
Standard Of Care ◽  
Fractional Flow ◽  
Coronary Cta ◽  
Flow Reserve ◽  
Stable Chest Pain

Abstract Introduction Coronary CT angiography (CTA) derived fractional flow reserve (FFRct) is increasingly used for guiding referral to invasive procedures in patients with stable chest pain. However, optimal interpretation of FFRct-analysis in terms of location and threshold of applied FFRct-values is unclear. Purpose To evaluate the clinical performance of various vessel-specific physiological FFRct derived measures of ischemia for prediction of standard of care guided coronary revascularization in patients with stable chest pain and coronary artery disease as determined by coronary CTA. Methods Retrospective study in patients with stable chest pain referred for coronary angiography based on coronary CTA. Standard acquired coronary CTA data sets were transmitted for core-laboratory analysis at HeartFlow. Any FFRct value in the major coronary arteries ≥1.8 mm in diameter, including side branches, were registered. Lesions were categorized as positive for ischemia using 6 different algorithms: Lowest in vessel FFRct-value (1) ≤0.75 or (2) ≤0.80; 2 cm distal-to-lesion FFRct-value (3) ≤0.75 or (4) ≤0.80; ΔFFRct (5) ≥0.06 or a combination of 2 and 5. The personnel responsible for downstream patient management had no information regarding FFRct test results. Results A total of 172 patients were included. Revascularization was performed in 62 (35%) patients. The diagnostic performance of different FFRct algorithms for predicting standard of care guided coronary revascularization is shown in the Table. Revascularization Predictions by FFRct N=172 Diagnostic performance FFRCT false negative FFRCT false positive Values given as (%) No. of revasc vessels No. of abnormal vessels FFRCT Algorithm Sens Spec PPV NPV Acc 1 2 3 1 2 3 Distal FFRCT ≤0.75 77 68 58 84 72 12 2 0 29 5 1 Distal FFRCT ≤0.80 92 43 48 90 61 5 0 0 40 20 3 Lesion-specific FFRCT ≤0.75 68 86 74 83 80 17 3 0 12 3 0 Lesion-specific FFRCT ≤0.80 82 78 68 89 80 10 2 0 21 3 1 ΔFFRCT ≥0.06 98 36 47 98 59 1 0 0 51 19 0 Combinationa 92 54 53 92 67 5 0 0 39 12 0 aDistal FFRCT ≤0.80 and ΔFFRCT ≥0.06. Sens = sensitivity; Spec = specificity; PPV = positive predictive value; NPV = negative predictive value; Acc = accuracy; FFRCT = fractional flow reserve derived from coronary CTA; ΔFFRCT = difference between FFRCT-value immediately proximal and distal to lesion; Revasc = revascularized. Conclusion The diagnostic performance of FFRct in terms of predicting standard of care guided coronary revascularization is dependent on the applied algorithm for interpretation of the FFRct-analysis.

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