Completeness of revascularization by FFRCT in stable angina: Association to adverse cardiovascular outcomes.

BACKGROUND: The prognostic impact of complete coronary revascularization relative to non-invasive testing methods is unknown. OBJECTIVES: To assess the association between completeness of revascularization defined by CTA-derived fractional flow reserve (FFRCT) and cardiovascular outcomes in patients with stable angina. METHODS: Multicenter 3-year follow-up study of patients with new onset stable angina and ≥ 30% stenosis by CTA. The lesion-specific FFRCT value (two cm-distal-to-stenosis) was registered in all vessels with stenosis and considered abnormal when ≤ 0.80. Patients with FFRCT ≤ 0.80 were categorized as: Completely revascularized (CR-FFRCT), all vessels with FFRCT ≤ 0.80 revascularized; incompletely revascularized (IR-FFRCT), ≥ 1 vessels with FFRCT ≤ 0.80 non-revascularized. Early revascularization (< 90 days from index CTA) categorized vessels as revascularized. The primary endpoint comprised cardiovascular death and non-fatal myocardial infarction; the secondary endpoint vessel-specific late revascularization and non-fatal myocardial infarction. RESULTS: Amongst 900 patients and 1759 vessels, FFRCT was ≤ 0.80 in 377 (42%) patients, 536 (30%) vessels; revascularization was performed in 244 (27%) patients, 340 (19%) vessels. Risk of the primary endpoint was higher for IR-FFRCT (15/210 [7.1%]) compared to CR-FFRCT (4/167 [2.4%]), RR: 2.98; 95% CI: 1.01-8.8, p â€‹= â€‹0.036, and to normal FFRCT (3/523 [0.6%]), RR: 12.45; 95% CI: 3.6-42.6, p â€‹< â€‹0.001. Incidence of the secondary endpoint was higher in non-revascularized vessels with FFRCT ≤ 0.80 (29/250 [12%]) compared to revascularized vessels with FFRCT ≤ 0.80 (5/286 [1.7%]), p â€‹= â€‹0.001, and to vessels with FFRCT > 0.80 (10/1223 [0.8%]), p â€‹< â€‹0.001. CONCLUSION: Incomplete revascularization of patients with lesion-specific FFRCT ≤ 0.80 is associated to unfavorable cardiovascular outcomes compared to those with complete revascularization or FFRCT > 0.80.

Accuracy of subtraction fractional flow reserve with computed tomography in identifying early revascularization in patients with coronary artery disease.

OBJECTIVES: The diagnostic performance of fractional flow reserve with computed tomography (FFR-CT) is affected by the presence of calcified plaque. Subtraction can remove the influence of calcification in coronary computed tomography angiography (CCTA) to increase confidence in the diagnosis of coronary artery stenosis. Our purpose is to investigate the accuracy of post-subtraction FFR-CT in predicting early revascularization. DESIGN: Based on CCTA data of 237 vessels from 79 patients with coronary artery disease, subtraction CCTA images were obtained at a local post-processing workstation, and the conventional and post-subtraction FFR-CT measurements and the difference in proximal and distal FFR-CT values of the narrowest segment of the vessel (ΔFFR-CT) were analyzed for their accuracy in predicting early coronary artery hemodynamic reconstruction. RESULTS: With FFR-CT ≤ 0.8 as the criterion, the accuracy of conventional and post-subtraction FFR-CT measurements in predicting early revascularization was 73.4% and 77.2% at the patient level, and 64.6% and 72.2% at the vessel level, respectively. The specificity of post-subtraction FFR-CT measurements was significantly higher than that of conventional FFR-CT at both the patient and vessel levels (P of 0.013 and 0.015, respectively). At the vessel level, the area under the curve of receiver operating characteristic was 0.712 and 0.797 for conventional and post-subtraction ΔFFR-CT, respectively, showing a difference (P = 0.047), with optimal cutoff values of 0.07 and 0.11, respectively. CONCLUSION: The post-subtraction FFR-CT measurements enhance the specificity in predicting early revascularization. The post-subtraction ΔFFR-CT value of the stenosis segment > 0.11 may be an important indicator for early revascularization.

Diagnostic Performance of Noninvasive Coronary Computed Tomography Angiography-Derived FFR for Coronary Lesion-Specific Ischemia Based on Deep Learning Analysis.

Background: The noninvasive computed tomography angiography-derived fractional flow reserve (CT-FFR) can be used to diagnose coronary ischemia. With advancements in associated software, the diagnostic capability of CT-FFR may have evolved. This study evaluates the effectiveness of a novel deep learning-based software in predicting coronary ischemia through CT-FFR. Methods: In this prospective study, 138 subjects with suspected or confirmed coronary artery disease were assessed. Following indication of 30%-90% stenosis on coronary computed tomography (CT) angiography, participants underwent invasive coronary angiography and fractional flow reserve (FFR) measurement. The diagnostic performance of the CT-FFR was determined using the FFR as the reference standard. Results: With a threshold of 0.80, the CT-FFR displayed an impressive diagnostic accuracy, sensitivity, specificity, area under the receiver operating characteristic curve (AUC), positive predictive value (PPV), and negative predictive value (NPV) of 97.1%, 96.2%, 97.7%, 0.98, 96.2%, and 97.7%, respectively. At a 0.75 threshold, the CT-FFR showed a diagnostic accuracy, sensitivity, specificity, AUC, PPV, and NPV of 84.1%, 78.8%, 85.7%, 0.95, 63.4%, and 92.8%, respectively. The Bland-Altman analysis revealed a direct correlation between the CT-FFR and FFR (p < 0.001), without systematic differences (p = 0.085). Conclusions: The CT-FFR, empowered by novel deep learning software, demonstrates a strong correlation with the FFR, offering high clinical diagnostic accuracy for coronary ischemia. The results underline the potential of modern computational approaches in enhancing noninvasive coronary assessment.

Cardiac computed tomography-derived coronary artery volume to myocardial mass in patients with severe coronary artery disease.

BACKGROUND: Coronary artery lumen volume (V) to myocardial mass (M) ratio (V/M) can show the mismatch between epicardial coronary arteries and the underlying myocardium. METHODS: The V, M and V/M were obtained from the coronary computed tomography angiography (CCTA) of patients in the FAST-TRACK CABG study, the first-in-human trial of coronary artery bypass grafting (CABG) guided solely by CCTA and fractional flow reserve derived from CCTA (FFRCT) in patients with complex coronary artery disease (CAD). The correlations between V/M ratios and baseline characteristics were determined and compared with those from the ADVANCE registry, an unselected cohort of historical controls with chronic CAD. RESULTS: The V/M ratio was obtained in 106 of the 114 pre-CABG CCTAs. Mean age was 65.6 years and 87% of them were male. The anatomical SYNTAX score from CCTA was significantly higher than the functional SYNTAX score derived using FFRCT [43.1 (15.2) vs 41.1 (16.5), p â€‹< â€‹0.001]. Mean V, M, and V/M were 2204 â€‹mm3, 137 â€‹g, and 16.5 â€‹mm3/g, respectively. There were weak negative correlations between V and anatomical and functional SYNTAX scores (Pearson's r â€‹= â€‹-0.26 and -0.34). V and V/M had a strong correlation (r â€‹= â€‹0.82). The V/M ratio in the current study was significantly lower than that in the ADVANCE registry (median 16.1 vs. 24.8 [1st quartile 20.1]). CONCLUSION: Systematically smaller V/M ratios were found in this population with severe CAD requiring CABG compared to an unselected cohort with chronic CAD. The V/M ratio could provide additional non-invasive assessment of CAD especially when combined with FFRCT.

Coronary computed tomography angiography derived fractional flow reserve and risk of recurrent angina: A 3-year follow-up study.

BACKGROUND: The association between coronary computed tomography angiography (CTA) derived fractional flow reserve (FFRCT) and risk of recurrent angina in patients with new onset stable angina pectoris (SAP) and stenosis by CTA is uncertain. METHODS: Multicenter 3-year follow-up study of patients presenting with symptoms suggestive of new onset SAP who underwent first-line CTA evaluation and subsequent standard-of-care treatment. All patients had at least one ≥30 â€‹% coronary stenosis. A per-patient lowest FFRCT-value ≤0.80 represented an abnormal test result. Patients with FFRCT ≤0.80 who underwent revascularization were categorized according to completeness of revascularization: 1) Completely revascularized (CR-FFRCT), all vessels with FFRCT ≤0.80 revascularized; or 2) incompletely revascularized (IR-FFRCT) ≥1 vessels with FFRCT ≤0.80 non-revascularized. Recurrent angina was evaluated using the Seattle Angina Questionnaire. RESULTS: Amongst 769 patients (619 [80 â€‹%] stenosis ≥50 â€‹%, 510 [66 â€‹%] FFRCT ≤0.80), 174 (23 â€‹%) reported recurrent angina at follow-up. An FFRCT ≤0.80 vs â€‹> â€‹0.80 associated to increased risk of recurrent angina, relative risk (RR): 1.82; 95 â€‹% CI: 1.31-2.52, p â€‹< â€‹0.001. Risk of recurrent angina in CR-FFRCT (n â€‹= â€‹135) was similar to patients with FFRCT >0.80, 13 â€‹% vs 15 â€‹%, RR: 0.93; 95 â€‹% CI: 0.62-1.40, p â€‹= â€‹0.72, while IR-FFRCT (n â€‹= â€‹90) and non-revascularized patients with FFRCT ≤0.80 (n â€‹= â€‹285) had increased risk, 37 â€‹% vs 15 â€‹% RR: 2.50; 95 â€‹% CI: 1.68-3.73, p â€‹< â€‹0.001 and 30 â€‹% vs 15 â€‹%, RR: 2.03; 95 â€‹% CI: 1.44-2.87, p â€‹< â€‹0.001, respectively. Use of antianginal medication was similar across study groups. CONCLUSION: In patients with SAP and coronary stenosis by CTA undergoing standard-of-care guided treatment, FFRCT provides information regarding risk of recurrent angina.

Predictors of percutaneous coronary intervention derived from CCTA in patients with chronic coronary syndrome.

BACKGROUND: To identify anatomical and morphological plaque features predictors of PCI and create a multiparametric score to increase the predictive yield. Moreover, we assessed the incremental predictive value of FFRCT (Fractional Flow Reserve derived from CCTA) trans-lesion gradient (ΔFFRCT) when integrated into the score. METHODS: Observational cohort study including patients undergoing CCTA for suspected coronary artery disease, with FFRCT available, referred to invasive coronary angiogram and assessment of fractional flow reserve. Plaque analysis was performed using validated semi-automated software. Logistic regression was performed to identify anatomical and morphological plaque features predictive of PCI. Optimal thresholds were defined by area under the receiver-operating characteristics curve (AUC) analysis. A scoring system was developed in a derivation cohort (70 â€‹% of the study population) and tested in a validation cohort (30 â€‹% of patients). RESULTS: The overall study population included 340 patients (455 vessels), among which 238 patients (320 vessels) were included in the derivation cohort. At multivariate logistic regression analysis, absence of left main disease, diameter stenosis (DS), non-calcified plaque (NCP) volume, and percent atheroma volume (PAV) were independent predictors of PCI. Optimal thresholds were: DS â€‹≥ â€‹50 â€‹%, volume of NCP>113 â€‹mm3 and PAV>17 â€‹%. A weighted score (CT-PCI Score) ranging from 0 to 11 was obtained. The AUC of the score was 0.80 (95%CI 0.74-0.86). The integration of ΔFFRCT in the CT-PCI score led to a mild albeit not significant increase in the AUC (0.82, 95%CI 0.77-0.87, p â€‹= â€‹0.328). CONCLUSIONS: Plaque anatomy and morphology derived from CCTA could aid in identifying patients amenable to PCI.

Distal-vessel fractional flow reserve by computed tomography to monitor epicardial coronary artery disease.

AIMS: Coronary computed tomography angiography (CTA) and fractional flow reserve by computed tomography (FFR-CT) are increasingly utilized to characterize coronary artery disease (CAD). We evaluated the feasibility of distal-vessel FFR-CT as an integrated measure of epicardial CAD that can be followed serially, assessed the CTA parameters that correlate with distal-vessel FFR-CT, and determined the combination of clinical and CTA parameters that best predict distal-vessel FFR-CT and distal-vessel FFR-CT changes. METHODS AND RESULTS: Patients (n = 71) who underwent serial CTA scans at ≥2 years interval (median = 5.2 years) over a 14-year period were included in this retrospective study. Coronary arteries were analysed blindly using artificial intelligence-enabled quantitative coronary CTA. Two investigators jointly determined the anatomic location and corresponding distal-vessel FFR-CT values at CT1 and CT2. A total of 45.3% had no significant change, 27.8% an improvement, and 26.9% a worsening in distal-vessel FFR-CT at CT2. Stepwise multiple logistic regression analysis identified a four-parameter model consisting of stenosis diameter ratio, lumen volume, low density plaque volume, and age, that best predicted distal-vessel FFR-CT ≤ 0.80 with an area under the curve (AUC) = 0.820 at CT1 and AUC = 0.799 at CT2. Improvement of distal-vessel FFR-CT was captured by a decrease in high-risk plaque and increases in lumen volume and remodelling index (AUC = 0.865), whereas increases in stenosis diameter ratio, medium density calcified plaque volume, and total cholesterol presaged worsening of distal-vessel FFR-CT (AUC = 0.707). CONCLUSION: Distal-vessel FFR-CT permits the integrative assessment of epicardial atherosclerotic plaque burden in a vessel-specific manner and can be followed serially to determine changes in global CAD.

High-Speed On-Site Deep Learning-Based FFR-CT Algorithm: Evaluation Using Invasive Angiography as the Reference Standard.

BACKGROUND. Estimation of fractional flow reserve from coronary CTA (FFR-CT) is an established method of assessing the hemodynamic significance of coronary lesions. However, clinical implementation has progressed slowly, partly because of off-site data transfer with long turnaround times for results. OBJECTIVE. The purpose of this study was to evaluate the diagnostic performance of FFR-CT computed on-site with a high-speed deep learning-based algorithm with invasive hemodynamic indexes as the reference standard. METHODS. This retrospective study included 59 patients (46 men, 13 women; mean age, 66.5 ± 10.2 years) who underwent coronary CTA (including calcium scoring) followed within 90 days by invasive angiography with invasive fractional flow reserve (FFR) and/or instantaneous wave-free ratio measurements from December 2014 to October 2021. Coronary artery lesions were considered to have hemodynamically significant stenosis in the presence of invasive FFR of 0.80 or less and/or instantaneous wave-free ratio of 0.89 or less. A single cardiologist evaluated the CTA images using an on-site deep learning-based semiautomated algorithm entailing a 3D computational flow dynamics model to determine FFR-CT for coronary artery lesions detected with invasive angiography. Time for FFR-CT analysis was recorded. FFR-CT analysis was repeated by the same cardiologist in 26 randomly selected examinations and by a different cardiologist in 45 randomly selected examinations. Diagnostic performance and agreement were assessed. RESULTS. A total of 74 lesions were identified with invasive angiography. FFR-CT and invasive FFR had strong correlation (r = 0.81) and, in Bland-Altman analysis, bias of 0.01 and 95% limits of agreement of -0.13 to 0.15. FFR-CT had AUC for hemodynamically significant stenosis of 0.975. At a cutoff of 0.80 or less, FFR-CT had 95.9% accuracy, 93.5% sensitivity, and 97.7% specificity. In 39 lesions with severe calcifications (≥ 400 Agatston units), FFR-CT had AUC of 0.991 and at a cutoff of 0.80, 94.7% sensitivity, 95.0% specificity, and 94.9% accuracy. Mean analysis time per patient was 7 minutes 54 seconds. Intraobserver agreement (intraclass correlation coefficient, 0.85; bias, -0.01; 95% limits of agreement, -0.12 and 0.10) and interobserver agreement (intraclass correlation coefficient, 0.94; bias, -0.01; 95% limits of agreement, -0.08 and 0.07) were good to excellent. CONCLUSION. A high-speed on-site deep learning-based FFR-CT algorithm had excellent diagnostic performance for hemodynamically significant stenosis with high reproducibility. CLINICAL IMPACT. The algorithm should facilitate implementation of FFR-CT technology into routine clinical practice.

The Use and Efficacy of FFR-CT: Real-World Multicenter Audit of Clinical Data With Cost Analysis.

BACKGROUND: Fractional flow reserve-computed tomography (FFR-CT) is endorsed by UK and U.S. chest pain guidelines, but its clinical effectiveness and cost benefit in real-world practice are unknown. OBJECTIVES: The purpose of this study was to audit the use of FFR-CT in clinical practice against England's National Institute for Health and Care Excellence guidance and assess its diagnostic accuracy and cost. METHODS: A multicenter audit was undertaken covering the 3 years when FFR-CT was centrally funded in England. For coronary computed tomographic angiograms (CCTAs) submitted for FFR-CT analysis, centers provided data on symptoms, CCTA and FFR-CT findings, and subsequent management. Audit standards included using FFR-CT only in patients with stable chest pain and equivocal stenosis (50%-69%). Diagnostic accuracy was evaluated against invasive FFR, when performed. Follow-up for nonfatal myocardial infarction and all-cause mortality was undertaken. The cost of an FFR-CT strategy was compared to alternative stress imaging pathways using cost analysis modeling. RESULTS: A total of 2,298 CCTAs from 12 centers underwent FFR-CT analysis. Stable chest pain was the main symptom in 77%, and 40% had equivocal stenosis. Positive and negative predictive values of FFR-CT were 49% and 76%, respectively. A total of 46 events (2%) occurred over a mean follow-up period of 17 months; FFR-CT (cutoff: 0.80) was not predictive. The FFR-CT strategy costs £2,102 per patient compared with an average of £1,411 for stress imaging. CONCLUSIONS: In clinical practice, the National Institute for Health and Care Excellence criteria for using FFR-CT were met in three-fourths of patients for symptoms and 40% for stenosis. FFR-CT had a low positive predictive value, making its use potentially more expensive than conventional stress imaging strategies.

[Contribution of coroscanner in chronic coronary syndrome]. / Apport du coroscanner dans le syndrome coronaire chronique.

Cardiac division imaging by coroscanner has progressed a lot in 20 years to gradually become an important and potentially indispensable tool of chronic coronary cardiology. The European and American recommendations are Grade I for the assessment of symptomatic patients at intermediate to high risk, at the same level as traditional functional tests. The development of sophisticated post-treatment algorithms that apply the equations of fluid mechanics makes it possible to calculate an FFR value at any point from the CT image of the coronary artery. This FFR-CT is correctly correlated with invasive FFR compared to a threshold value of 0.80 and helps guide therapeutic choices. Thus, the coroscanner is a complement or an alternative to traditional functional tests and is positioned as a filter of access to coronary angiography, especially since it combines, from the same examination, a precise anatomical description, and a functional evaluation of the various possible lesions. Which is the Holy Grail of coronary cardiology.

Clinical Validation of a Virtual Planner for Coronary Interventions Based on Coronary CT Angiography.

BACKGROUND: Low fractional flow reserve (FFR) values after percutaneous coronary intervention (PCI) carry a worse prognosis than high post-PCI FFR values. Therefore, the ability to predict post-PCI FFR might play an important role in procedural planning. Post-PCI FFR values can now be computed from pre-PCI coronary computed tomography angiography (CTA) using the fractional flow reserve derived from coronary computed tomography angiography revascularization planner (FFRCT Planner). OBJECTIVES: The aim of this study was to validate the accuracy of the FFRCT Planner. METHODS: In this multicenter, investigator-initiated, prospective study, patients with chronic coronary syndromes and significant lesions based on invasive FFR ≤0.80 were recruited. The FFRCT Planner was applied to the fractional flow reserve derived from coronary computed tomography angiography (FFRCT) model, simulating PCI. The primary objective was the agreement between the predicted post-PCI FFR by the FFRCT Planner and measured post-PCI FFR. Accuracy of the FFRCT Planner's luminal dimensions was assessed by using post-PCI optical coherence tomography as the reference. RESULTS: Overall, 259 patients were screened, with 120 patients (123 vessels) included in the final analysis. The mean patient age was 64 ± 9 years, and 24% had diabetes. Measured FFR post-PCI was 0.88 ± 0.06, and the FFRCT Planner FFR was 0.86 ± 0.06 (mean difference: 0.02 ± 0.07 FFR unit; limits of agreement: -0.12 to 0.15). Optical coherence tomography minimal stent area was 5.60 ± 2.01 mm2, and FFRCT Planner minimal stent area was 5.0 ± 2.2 mm2 (mean difference: 0.66 ± 1.21 mm2; limits of agreement: -1.7 to 3.0). The accuracy and precision of the FFRCT Planner remained high in cases with focal and diffuse disease and with low and high calcium burden. CONCLUSIONS: The FFRCT-based technology was accurate and precise for predicting FFR after PCI. (Precise Percutaneous Coronary Intervention Plan Study [P3]; NCT03782688).

Effects of left ventricular mass on computed tomography derived fractional flow reserve in significant obstructive coronary artery disease.

BACKGROUND: In significant obstructive coronary artery disease (SOCAD), a mismatch in assessment of severity of coronary artery stenosis may occur between invasive coronary angiography (ICA) and computed tomography (CT) derived fractional flow reserve (FFRCT). The present study aimed to identify the factors giving an FFRCT > 0.80 and leading to an underestimation of coronary artery severity in SOCAD vessels. METHODS: A total of 141 consecutive patients who underwent both CT angiography including FFRCT and ICA, the latter showing >75% coronary artery stenosis were evaluated. Vessels were divided into two groups according to FFRCT at the distal aspect of the vessel: FFRCT > 0.80 (n = 12) and FFRCT ≤ 0.80 (n = 153). Vessel morphology, plaque characteristics, left-ventricular (LV) wall thickness at each site of the myocardium, and LV mass were also assessed. RESULTS: LV myocardium-related parameters including LV wall thickness (base, middle, apex, average, and maximal), LV mass, and LV mass index were higher in FFRCT > 0.80, whereas vessel-related parameters including, vessel morphology and plaque characteristics were not significantly different between >0.80 and < 0.80. Vessel morphology and plaque characteristics had no effect on FFRCT, whereas maximum LV wall thickness, LV mass, and LV mass index influenced FFRCT. LV mass index was the strongest predictor of distal FFRCT > 0.80 with an area under the curve of 0.81, and an optimal cut-off value of 66.5 g/m2 (sensitivity 77.8%, specificity 89.6%). CONCLUSIONS: The presence of a high LV mass is a major cause for underestimation of coronary artery severity on FFRCT in SOCAD vessels. LV myocardium-related parameters should be considered when interpreting numerical values of FFRCT.

Trans-lesional fractional flow reserve gradient as derived from coronary CT improves patient management: ADVANCE registry.

BACKGROUND: The role of change in fractional flow reserve derived from CT (FFRCT) across coronary stenoses (ΔFFRCT) in guiding downstream testing in patients with stable coronary artery disease (CAD) is unknown. OBJECTIVES: To investigate the incremental value of ΔFFRCT in predicting early revascularization and improving efficiency of catheter laboratory utilization. MATERIALS: Patients with CAD on coronary CT angiography (CCTA) were enrolled in an international multicenter registry. Stenosis severity was assessed as per CAD-Reporting and Data System (CAD-RADS), and lesion-specific FFRCT was measured 2 â€‹cm distal to stenosis. ΔFFRCT was manually measured as the difference of FFRCT across visible stenosis. RESULTS: Of 4730 patients (66 â€‹± â€‹10 years; 34% female), 42.7% underwent ICA and 24.7% underwent early revascularization. ΔFFRCT remained an independent predictor for early revascularization (odds ratio per 0.05 increase [95% confidence interval], 1.31 [1.26-1.35]; p â€‹< â€‹0.001) after adjusting for risk factors, stenosis features, and lesion-specific FFRCT. Among the 3 models (model 1: risk factors â€‹+ â€‹stenosis type and location â€‹+ â€‹CAD-RADS; model 2: model 1 â€‹+ â€‹FFRCT; model 3: model 2 â€‹+ â€‹ΔFFRCT), model 3 improved discrimination compared to model 2 (area under the curve, 0.87 [0.86-0.88] vs 0.85 [0.84-0.86]; p â€‹< â€‹0.001), with the greatest incremental value for FFRCT 0.71-0.80. ΔFFRCT of 0.13 was the optimal cut-off as determined by the Youden index. In patients with CAD-RADS ≥3 and lesion-specific FFRCT ≤0.8, a diagnostic strategy incorporating ΔFFRCT >0.13, would potentially reduce ICA by 32.2% (1638-1110, p â€‹< â€‹0.001) and improve the revascularization to ICA ratio from 65.2% to 73.1%. CONCLUSIONS: ΔFFRCT improves the discrimination of patients who underwent early revascularization compared to a standard diagnostic strategy of CCTA with FFRCT, particularly for those with FFRCT 0.71-0.80. ΔFFRCT has the potential to aid decision-making for ICA referral and improve efficiency of catheter laboratory utilization.

Chest Pain: Who Needs Additional Testing Beyond ECG and Troponin?

In the first case, we describe a 45-year-old man who presented to the emergency department for evaluation of chest pain. He reported having chest discomfort 5 days prior that lasted a few minutes after an altercation with his coworker. In the second case, we describe a 54-year-old woman with history of well-controlled diabetes mellitus, hypertension, and dyslipidemia who presented to the ED with a 10-day history of intermittent sharp and burning chest pain in the substernal region, 5/10 intensity, lasting 15-20 minutes, associated with exertion. (Level of Difficulty: Intermediate.).

CT Coronary Angiogram With FFR CT - A Revolution In The Diagnostic Flow Of Coronary Artery Disease.

Within the last few years, advances in CT coronary imaging has revolutionised the diagnostic flow of suspected coronary artery disease. CT coronary angiogram has a high diagnostic accuracy and negative predictive value for diagnosis of coronary disease. Its non-invasive nature makes it a lower risk and lower cost procedure compared to conventional invasive coronary angiogram. However, there is restricted value in anatomical evaluation without input regarding the functional significance of each lesion identified with cross-sectional imaging. The gold standard to assess whether a lesion is haemodynamically significant has been the assessment of FFR (fractional flow reserve). Fractional flow reserve is the ratio between maximum coronary flow in the presence of stenosis and in the hypothetical absence of stenosis. This is measured invasively by introducing a pressure wire across the lesion involving intracoronary nitro-glycerine as well as intravenous infusion of adenosine. However, the introduction of FFR CT provides information on functional significance of a lesion only using the CT data set of CT CA. Through complex non-linear equations and supercomputing, it produces a three-dimensional model of the coronary artery giving FFR values at multiple point along every major coronary vessel. It is non-invasive, involves no extra dose or contrast and does not require adenosine stress. A lesion that may appear moderate to severe on CT CA with FFR values above 0.80 can be managed by optimal medical management alone. Together FFR Ct and CTCA provide a comprehensive assessment for CAD leading to a reduction in downstream testing and unnecessary revascularisation procedures.

Diagnostic value of comprehensive on-site and off-site coronary CT angiography for identifying hemodynamically obstructive coronary artery disease.

BACKGROUND: This study aimed to investigate the diagnostic value of comprehensive on-site coronary computed tomography angiography (CCTA) using stenosis and plaque measures and subtended myocardial mass (Vsub) for fractional flow reserve (FFR) defined hemodynamically obstructive coronary artery disease (CAD). Additionally, the incremental diagnostic value of off-site CT-derived FFR (FFRCT) was assessed. METHODS: Prospectively enrolled patients underwent CCTA followed by invasive FFR interrogation of all major coronary arteries. Vessels with ≥30% stenosis were included for analysis. On-site CCTA assessment included qualitative and quantitative stenosis (visual grading and minimal lumen area, MLA) and plaque measures (characteristics and volumes), and Vsub. Diagnostic value of comprehensive on-site CCTA assessment was tested by comparing area under the curves (AUC). In vessels with available FFRCT, the incremental value of off-site FFRCT was tested. RESULTS: In 236 vessels (132 patients), MLA, positive remodeling, non-calcified plaque volume, and Vsub were independent on-site CCTA predictors for hemodynamically obstructive CAD (p < 0.05 for all). Vsub/MLA2 outperformed all these on-site CCTA parameters (AUC = 0.85) and Vsub was incremental to all other CCTA predictors (p = 0.02). In subgroup analysis (n = 194 vessels), diagnostic performance of FFRCT and Vsub/MLA2 was similar (AUC 0.89 and 0.85 respectively, p = 0.25). Furthermore, diagnostic performance significantly albeit minimally increased when FFRCT was added to on-site CCTA assessment (ΔAUC = 0.03, p = 0.02). CONCLUSIONS: In comprehensive on-site CCTA assessment, Vsub/MLA2 demonstrated greatest diagnostic value for hemodynamically obstructive CAD and Vsub was incremental to all evaluated CCTA indices. Additionally, adding FFRCT only minimally increased diagnostic performance, demonstrating that on-site CCTA assessment is a reasonable alternative to FFRCT.

Prognostic value of cardiac CT.

In the past decades, coronary computed tomography angiography (CCTA) has become a powerful tool in the management of coronary artery disease. The diagnostic and prognostic value of CCTA has been extensively demonstrated in both large observational studies and clinical trials among stable chest pain patients. The quantification of coronary artery calcium score (CACS) is a well-established predictor of cardiovascular morbidity and mortality in asymptomatic subjects. Besides CACS, the main strength of CCTA is the accurate assessment of the individual total atherosclerotic plaque burden, which holds important prognostic information. In addition, CCTA, by providing detailed information on coronary plaque morphology and composition with identification of specific high-risk plaque features, may further improve the risk stratification beyond the assessment of coronary stenosis. The development of new CCTA applications, such as stress myocardial CT perfusion and computational fluids dynamic applied to standard CCTA to derive CT-based fractional flow reserve (FFR) values have shown promising results to guide revascularization, potentially improving clinical outcomes in stable chest pain patients. In this review, starting from the role of CACS and moving beyond coronary stenosis, we evaluate the existing evidence of the prognostic effectiveness of the CCTA strategy in real-world clinical practice.

Ability of FFR-CT to detect the absence of hemodynamically significant lesions in patients with high-risk NSTE-ACS admitted in the emergency department with chest pain, study design and rationale.

BACKGROUND: In the era of High-sensitive troponin (hs-Tn), up to 50% of patients with a mild increase of hs-Tn will finally have a normal invasive coronary angiogram. Fractional Flow Reserve (FFR) derived from coronary computed tomographic angiography (FFR-CT) has never been used as a non-invasive tool for the diagnosis of coronary artery disease in patients with high-risk acute coronary syndrome without ST segment elevation (NSTE-ACS). AIMS: The study aims to determine the role of coronary CT angiography and FFR-CT in the setting of high-risk NSTE-ACS. METHODOLOGY: We will conduct a prospective trial, enrolling 250 patients admitted with high-risk NSTE-ACS who will rapidly undergo a coronary CT angiography and then a coronary angiography with FFR measurements. Results of coronary CT, FFR-CT and coronary angiography (± FFR) will be compared. POTENTIAL SIGNIFICANCE: In conclusion, non-invasive identification of patients with high-risk NSTE-ACS who could avoid coronary angiography would reduce procedure related risks and medical costs.