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.

P6186Symptomatic effect of coronary revascularization at 1-year follow-up in stable chest pain - prediction by coronary computed tomography angiography derived fractional flow reserve

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
K T Madsen ◽  
B L Noergaard ◽  
K T Veien ◽  
P Larsen ◽  
M Husain ◽  
...  
Keyword(s):  
Chest Pain ◽  
Fractional Flow Reserve ◽  
Coronary Revascularization ◽  
Symptomatic Relief ◽  
Fractional Flow ◽  
Coronary Cta ◽  
Coronary Ct ◽  
Flow Reserve ◽  
Stable Chest Pain

Abstract Introduction Coronary CT angiography (CTA) derived fractional flow reserve (FFRct) is increasingly being used for guiding referral to invasive procedures in patients with stable chest pain. However, the ability of FFRct to predict the symptomatic effect of revascularization remains unclear. Purpose To evaluate the ability of different vessel-specific physiological FFRct derived measures of ischemia for predicting the occurrence of chest pain one year after coronary revascularization in stable patients. 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. Patients were categorized as positive for ischemia using 3 different algorithms: Lowest in vessel FFRct-value ≤0.80; ΔFFRct ≥0.06 or a combination of the two. Personnel responsible for downstream patient management had no information on FFRct test results. Classification of revascularization was performed based on the applied FFRct algorithm: complete if all FFRct positive lesions were revascularized; incomplete if ≥1 FFRct positive lesion was not revascularized. Symptomatic status at 1-year follow-up was obtained by a visit in the outpatient clinic or by telephone. Results A total of 172 patients were included. Revascularization was performed in 62 (35%) patients. At 1-year follow-up 48 (28%) patients had chest pain; 15 (24%) revascularized vs 33 (30%) non-vascularized patients, p=0.415. No difference in utilization of anti-anginal medicine for patients with and without chest pain was registered at 1-year follow-up. The association between the chosen FFRct algorithm, revascularization and occurrence of chest pain at 1-year follow-up are shown in the Table. FFRct, Revascularization and Chest pain FFRCT, Algorithm Revascularizationb Patients with chest pain 1-year risk of chest pain p-valuec N (%) OR (95%-CI) Distal FFRCT ≤0.80 Incomplete 32 (34) Ref. Distal FFRCT ≤0.80 Complete 4 (15) 0.34 (0.11, 1.06) Distal FFRCT >0.80 No 11 (24) 0.61 (0.27, 1.35) 0.097 ΔFFRCT ≥0.06 Incomplete 34 (35) Ref. ΔFFRCT ≥0.06 Complete 7 (21) 0.49 (0.19, 1.24) ΔFFRCT <0.06 No 7 (18) 0.41 (0.16, 1.03) 0.074 Combinationa abnormal Incomplete 30 (40) Ref. Combination abnormal Complete 6 (18) 0.32 (0.12, 0.87) Combination normal No 11 (19) 0.35 (0.16, 0.78) 0.009 aDistal FFRCT ≤0.80 and ΔFFRCT ≥0.06. bIncomplete (≥1 FFRCT positive lesion not revascularized); complete (All FFRCT positive lesions revascularized); No (No FFRCT positive lesions and revascularization not performed). cBetween group comparison performed using logistic regression. Conclusion Revascularization based on classification by FFRct is associated with symptomatic relief at 1-year follow-up in patients with stable chest pain.

scholarly journals Accuracy of computational pressure-fluid dynamics applied to coronary angiography to derive fractional flow reserve: FLASH FFR

2019 ◽  
Vol 116 (7) ◽  
pp. 1349-1356 ◽  
Author(s):  
Jianping Li ◽  
Yanjun Gong ◽  
Weimin Wang ◽  
Qing Yang ◽  
Bin Liu ◽  
...  
Keyword(s):  
Fluid Dynamics ◽  
Coronary Artery ◽  
Coronary Angiography ◽  
Fractional Flow Reserve ◽  
Predictive Value ◽  
Diagnostic Performance ◽  
Characteristic Curve ◽  
Fractional Flow ◽  
Performance Goal ◽  
Flow Reserve

Abstract Aims Conventional fractional flow reserve (FFR) is measured invasively using a coronary guidewire equipped with a pressure sensor. A non-invasive derived FFR would eliminate risk of coronary injury, minimize technical limitations, and potentially increase adoption. We aimed to evaluate the diagnostic performance of a computational pressure-flow dynamics derived FFR (caFFR), applied to coronary angiography, compared to invasive FFR. Methods and results The FLASH FFR study was a prospective, multicentre, single-arm study conducted at six centres in China. Eligible patients had native coronary artery target lesions with visually estimated diameter stenosis of 30–90% and diagnosis of stable or unstable angina pectoris. Using computational pressure-fluid dynamics, in conjunction with thrombolysis in myocardial infarction (TIMI) frame count, applied to coronary angiography, caFFR was measured online in real-time and compared blind to conventional invasive FFR by an independent core laboratory. The primary endpoint was the agreement between caFFR and FFR, with a pre-specified performance goal of 84%. Between June and December 2018, matched caFFR and FFR measurements were performed in 328 coronary arteries. Total operational time for caFFR was 4.54 ± 1.48 min. caFFR was highly correlated to FFR (R = 0.89, P = 0.76) with a mean bias of −0.002 ± 0.049 (95% limits of agreement −0.098 to 0.093). The diagnostic performance of caFFR vs. FFR was diagnostic accuracy 95.7%, sensitivity 90.4%, specificity 98.6%, positive predictive value 97.2%, negative predictive value 95.0%, and area under the receiver operating characteristic curve of 0.979. Conclusions Using wire-based FFR as the reference, caFFR has high accuracy, sensitivity, and specificity. caFFR could eliminate the need of a pressure wire, technical error and potentially increase adoption of physiological assessment of coronary artery stenosis severity. Clinical Trial Registration URL: http://www.chictr.org.cn Unique Identifier: ChiCTR1800019522.

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.

scholarly journals Validation of the diagnostic performance of ‘HeartMedi V.1.0’, a novel CT-derived fractional flow reserve measurement, for patients with coronary artery disease: a study protocol

BMJ Open ◽  
2020 ◽  
Vol 10 (7) ◽  
pp. e037780
Author(s):  
Soo-Hyun Kim ◽  
Si-Hyuck Kang ◽  
Woo-Young Chung ◽  
Chang-Hwan Yoon ◽  
Sang-Don Park ◽  
...  
Keyword(s):  
Coronary Artery ◽  
Coronary Angiography ◽  
Fractional Flow Reserve ◽  
Predictive Value ◽  
Diagnostic Performance ◽  
Invasive Coronary Angiography ◽  
Fractional Flow ◽  
Non Invasive ◽  
Link Type ◽  
Flow Reserve

IntroductionCoronary CT angiography (CCTA) is widely used for non-invasive coronary artery evaluation, but it is limited in identifying the nature of functional characteristics that cause ischaemia. Recent computational fluid dynamic (CFD) techniques applied to CCTA images permit non-invasive computation of fractional flow reserve (FFR), a measure of lesion-specific ischaemia. However, this technology has limitations, such as long computational time and the need for expensive equipment, which hinder widespread use.Methods and analysisThis study is a prospective, multicentre, comparative and confirmatory trial designed to evaluate the diagnostic performance of HeartMedi V.1.0, a novel CT-derived FFR measurement for the detection of haemodynamically significant coronary artery stenoses identified by CCTA, based on invasive FFR as a reference standard. The invasive FFR values ≤0.80 will be considered haemodynamically significant. The study will enrol 184 patients who underwent CCTA, invasive coronary angiography and invasive FFR. Computational FFR (c-FFR) will be analysed by CFD techniques using a lumped parameter model based on vessel length method. Blinded core laboratory interpretation will be performed for CCTA, invasive coronary angiography, invasive FFR and c-FFR. The primary objective of the study is to compare the area under the receiver–operator characteristic curve between c-FFR and CCTA to non-invasively detect the presence of haemodynamically significant coronary stenosis. The secondary endpoints include diagnostic accuracy, sensitivity, specificity, positive predictive value, negative predictive value and correlation of c-FFR with invasive FFR.Ethics and disseminationThe study has ethic approval from the ethics committee of Seoul National University Bundang Hospital (E-1709/420-001) and informed consent will be obtained for all enrolled patients. The result will be published in a peer-reviewed journal.Trial registration numberKCT0002725; Pre-results.

Abstract 13372: Diagnostic Value of a Novel Coronary Computed Tomography Angiography-based Approach for Assessing Fractional Flow Reserve: Comparison with Invasive Measurement

Circulation ◽  
2014 ◽  
Vol 130 (suppl_2) ◽  
Author(s):  
Stefan Baumann ◽  
Matthias Renker ◽  
Rui Wang ◽  
Felix G Meinel ◽  
Jeremy D Rier ◽  
...  
Keyword(s):  
Fractional Flow Reserve ◽  
Predictive Value ◽  
Diagnostic Performance ◽  
Coronary Computed Tomography Angiography ◽  
Diagnostic Value ◽  
Reference Standard ◽  
Fractional Flow ◽  
Flow Reserve ◽  
Coronary Lesions ◽  
Invasive Measurement

Background: Noninvasive fractional flow reserve (FFR) from cCTA correlates well with invasive FFR and substantially improves the detection of obstructive CAD. However with current algorithms, CT-based FFR is derived off-site in an involved, time-consuming manner. We sought to investigate the diagnostic performance of a novel CT-based FFR algorithm (Siemens, Germany), developed for time-efficient in-hospital evaluation of hemodynamically indeterminate coronary lesions. Methods and Results: In a blinded fashion, CT-based FFR was assessed in 67 coronary lesions of 53 patients. Pressure guidewire-based FFR<0.80 served as the reference standard to define hemodynamically significant stenosis and assess the diagnostic performance of CT-based FFR compared to standard evaluation of cCTA (stenosis ≥50%). On a per-lesion and per-patient basis, CT-based FFR resulted in a sensitivity of 85% and 94%, specificity of 85% and 84%, positive predictive value of 71% and 71%, and negative predictive value of 93% and 97%. The area under the ROC curve on a per-lesion basis was significantly greater for CT-based FFR compared with standard evaluation of cCTA (0.92 vs. 0.72, p=0.0049). A similar trend, albeit not statistically significant, was observed on per-patient analysis (0.91 vs. 0.78, p=0.078). Mean total time for CT-based FFR was 37.5±13.8 min. Conclusions: The CT-based FFR algorithm evaluated here outperforms standard evaluation of cCTA for the detection of hemodynamically significant stenoses while allowing on-site application within clinically viable timeframes.

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