Multimodality imaging: Bird’s eye view from the European Society of Cardiology Congress 2019 Paris, August 31st–September 4th, 2019
At the European Society of Cardiology (ESC) congress of this year 2019, held in Paris from August 31st to September 4th, 4509 abstracts were presented. Of those, 414 (9%) belonged to an imaging category. Experts in echocardiography (VD), nuclear imaging (AS), cardiac computed tomography (CT) (MD) and cardiovascular magnetic resonance (CMR) (CBD), have selected the abstracts in their areas of expertise that were of most interest to them and are summarized in this bird’s eye view from this ESC meeting. These abstracts were integrated by one of the Editors of the Journal (JB).
KeywordsEcho CT MRI PET SPECT
Coronary artery disease
Cardiac magnetic resonance
Cardiac resynchronization therapy
Computed tomography coronary angiography
European Society of Cardiology
Fat attenuation index
Late gadolinium enhancement
Left ventricular ejection fraction
Positron emission tomography
Single-photon emission computerized tomography
ST-segment elevation myocardial infarction
The new guidelines on chronic coronary syndromes,1 dyslipidemia2 and diabetes mellitus3 include recommendations on the use of imaging for diagnosis and risk stratification of atherosclerotic cardiovascular disease. Detection of carotid atherosclerotic plaque with carotid ultrasound is a modifier of the risk of atherosclerotic cardiovascular disease. In 415 women (62 ± 10 years old, 28% with diabetes mellitus) undergoing stress echocardiography, Gurunathan et al4 evaluated the incremental value of carotid ultrasound to detect significant coronary artery disease (CAD). Inducible wall motion abnormalities were detected in 47 (11%) women and 41% presented carotid plaque while carotid intima media thickness > 75th percentile was measured in 15%. Stress echocardiography had a positive predictive value of 51% for detecting > 70% coronary artery stenosis on invasive coronary angiography and improved to 71% when carotid plaque was present. These results have important clinical implications since it is well known that the unique pathophysiological mechanisms causing ischemia and the lower prevalence of significant CAD in women limit the predictive value of conventional stress testing techniques.
Mitral annulus disjunction, defined as a variation in the attachment of the posterior mitral leaflet characterized by a wide separation between left atrial wall and the left ventricular (LV) free wall, is frequently observed in patients with mitral valve prolapse. In a large series of patients with moderate and severe mitral regurgitation due to mitral valve prolapse, Mantegazza et al5 described a frequency of mitral annulus disjunction of 21% among 630 patients with Barlow’s disease, which is lower than previously reported. In addition, the series included 349 patients with fibroelastic deficiency in whom the presence of mitral annulus disjunction was observed in 8%. Patients with mitral annulus disjunction were usually younger, had more dilated mitral annulus and more frequently presented bileaflet prolapse as compared to patients without.
Assessment of LV systolic function after ST-segment elevation myocardial infarction (STEMI) has important clinical implications. Speckle tracking echocardiography has provided various parameters that have incremental prognostic value over conventional LV ejection fraction. In 372 patients with STEMI treated with primary percutaneous coronary intervention, Brainin et al6 measured early systolic lengthening from speckle tracking derived longitudinal strain. The early systolic lengthening is an index that reflects myocardial viability and is calculated as (100 × [peak positive systolic strain/peak negative global strain]) and averaged for 18 LV myocardial segments. In the segments supplied by the infarct-related artery, the early systolic lengthening was significantly higher than in the remote segments (6.7 ± 6.2% vs 5.0 ± 4.1%, P < .001). During a median follow-up of 5 years, 39% of patients reached the composite primary end-point of incident heart failure, myocardial infarction or all-cause mortality. Each 1% increase in early systolic lengthening was associated with 27% increased risk of the composite primary end-point.
Based on 3-dimensional echocardiography, the geometry and function of the right ventricle can be fully appreciated. Kovacs et al9 described the components of the right ventricular function in 231 healthy individuals: the longitudinal and radial ejection fraction contribute equally to the global right ventricular ejection fraction whereas the anteroposterior ejection fraction has less contribution. Interestingly, the anteroposterior ejection fraction showed a decline with age. The relative contributions of each ejection fraction to the global right ventricular ejection fraction in pathological situations needs to be elucidated in future studies.
Machine learning may be helpful in interpretation of imaging data through complex data-pattern recognition. The study of Hu et al10 aimed to develop a machine learning computer score derived from stress imaging and clinical data, which indicates if the rest scan could be automatically canceled during myocardial perfusion imaging. The study population consisted of 20,414 patients from the REFINE SPECT registry who had undergone rest/stress single-photon emission computerized tomography (SPECT). There were 3542 adverse events including revascularization, death, myocardial infarction or unstable angina during 4.7 years of follow-up. Machine learning could be used to automatically cancel the rest myocardial perfusion scan with the same proportion (60%) as using normal visual reading, but with significantly lower rate of adverse events after stress-only scan (annual rate 1.5% vs 2.1%) indicating that the rest scan could be safely canceled based on machine learning. Juarez-Orozco et al11 evaluated the feasibility and performance of deep learning survival analysis in predicting outcomes in a registry of 951 patients with suspected CAD who underwent cardiac hybrid positron emission tomography/computed tomography (PET/CT). Cox-Nnet (a deep survival neural network) evaluation of PET perfusion and CT angiography data outperformed categorical expert interpretation and coronary calcium score (c-index = 0.75, 0.54 and 0.65, respectively) in predicting the occurrence of myocardial infarction or death during follow-up. The authors conclude that deep learning survival analysis is feasible in the evaluation of cardiovascular prognostic data and may facilitate prediction of outcomes.
The value of hybrid 18F-fluorodeoxyglucose (18F-FDG) PET and CMR in predicting recovery of wall motion after percutaneous coronary intervention of chronic total coronary occlusion was studied by Vitadello et al.13 In 49 patients with chronic total coronary occlusion and wall motion abnormality in the corresponding coronary territory, almost one third of the dysfunctional segments showed discordant imaging findings: 4% were non-viable by 18F-FDG-PET, but viable by CMR, whereas 26% were viable by 18F-FDG PET, but non-viable by CMR. The combination of PET and MR showed better accuracy in predicting improvement of regional wall motion after revascularization of chronic total coronary occlusion than either 18F-FDG PET or CMR alone (area under ROC curve 0.72, 0.58 and 0.66, P = .002). These results suggest that hybrid PET/CMR may identify small amounts of viable myocardium in scarred segments that are capable of improving function after revascularization. In addition to viable myocardium, 18F-FDG-PET can be used to detect active cardiac inflammation after suppression of physiological myocardial glucose uptake. The study by Protonotarios et al14 evaluated 18F-FDG PET in 18 patients with an arrhythmogenic cardiomyopathy diagnosed according to the 2010 Task Force criteria. 18F-FDG uptake was common in patients with desmosomal gene positive arrhythmogenic cardiomyopathy and clinically active disease. All cases with 18F-FDG uptake showed gadolinium late-enhancement, but they were spatially discordant suggesting that 18F-FDG PET and CMR provide complementary information on tissue characterization also in arrhythmogenic cardiomyopathy.
18F-FDG PET has been shown to be useful for the diagnosis of infective endocarditis, but its prognostic value is unknown. Sovannarith et al15 evaluated the prognostic value of 18F-FDG PET/CT in patients with definitive prosthetic valve endocarditis (n = 109) or native valve endocarditis (n = 64) during one-year of follow-up. Valvular uptake of 18F-FDG was present in 82% of patients with prosthetic valve endocarditis and it was associated with higher rate of a composite end-point of death, recurrence of infective endocarditis, acute cardiac failure, cardiovascular hospitalization, and new embolic event (odds ratio = 2.6, 95% confidence interval 1.04-6.6, P = .04). In native valve endocarditis, valvular 18F-FDG uptake was not associated with the composite end-point. However, 18F-FDG uptake graded as moderate or high vs. absent or mild was predictive of embolic events in both prosthetic and native valve endocarditis. Therefore, 18F-FDG PET/CT is predictive of major cardiac events in prosthetic valve endocarditis and embolic events in both prosthetic and native valve endocarditis during the first year following infective endocarditis.
Computed tomography coronary angiography (CTCA) gained a class I recommendation for the assessment of stable patients with chest pain in the 2019 ESC guidelines launched in Paris.1 Concerns have been expressed that the widespread use of CTCA would lead to an increased rate of invasive coronary angiography. Weir-McCall et al16 examined trends in the use of imaging for the investigation of CAD in England before and after the 2016 National Institute for Clinical Excellence (NICE) guidelines. These recommended CTCA as the first line imaging test in patients with chest pain. Importantly the NICE guidelines resulted in a fall, not an increase in invasive coronary angiography despite increased rates of CTCA. In addition, centers with the greatest growth in CTCA had the greatest fall in SPECT utilization so that overall imaging costs were unchanged.
There was a clear focus at ESC 2019 on CT studies examining coronary plaque and pericoronary fat. Deseive et al17 measured the total coronary plaque volume (both calcific and non-calcific) on CTCA in 1577 patients and then followed them up for 10.4 years for the primary end-point of cardiac death and acute coronary syndrome. The primary end-point was met in 59 patients. Total plaque volume provided incremental prognostic information to a model incorporating cardiovascular risk factors and the severity of obstructive CAD, whereas CT calcium scoring did not. This study highlights the important prognostic role that measures of total coronary plaque volume on contrast CT angiography might play in clinical practice and highlights their potential advantages compared to CT calcium scoring. In a hybrid PET and CT study, Kwiencinski et al18 investigated the relationship of low-density plaque on CT with uptake of the PET tracer 18F-NaF. Detailed analysis of the coronary plaque composition and 18F-NaF activity was performed in 20 patients undergoing hybrid PET/CT coronary angiography. They demonstrated that coronary vessels with increased 18F-NaF activity had higher non-calcific and low-density plaque volumes. Moreover, low-density plaque volume was an independent predictor of 18F-NaF activity. This study supports the hypothesis that patients with low-density plaque have increased coronary plaque activity, which might explain the increased event rate observed in these patients.
Commandeur et al19 used machine learning to perform fully automated quantification of the epicardial adipose tissue in 850 non-contrast calcium scoring CT scans. Automated quantification took less than 2 seconds and demonstrated close agreement to epicardial adipose volumes measured manually by experts who took 15 minutes. The same investigational group also used a machine learning approach to determine whether CT calcium scores and epicardial fat volumes (quantified automatically using the above method) alongside clinical information might improve risk prediction in 2071 patients from the EISNER trial.20 After long-term follow-up they demonstrated that a machine learning approach integrating clinical and quantitative imaging-based variables improved the prediction of myocardial infarction and cardiac death in patients undergoing CT calcium scoring compared to standard risk assessment methods.
Cardiovascular Magnetic Resonance
Non-invasive functional imaging for myocardial ischemia, such as stress CMR, to diagnose CAD remains as class IB recommendation in current ESC guidelines. In this ESC congress, several abstracts provided additional information on the use of this imaging modality in patients with suspected or known CAD. Haberkorn et al22 performed a rigorous systematic review and meta-analysis to compare the diagnostic accuracy of vasodilator stress perfusion CMR and dobutamine stress echocardiography using coronary angiography (coronary stenosis > 70%) or fractional flow reserve (< 0.80) as a reference standard for obstructive CAD. Of 5634 studies, 47 prospective studies were selected, totalling 4742 patients. The sensitivity, specificity and diagnostic odds ratio for vasodilator stress CMR were 0.88 (95% CI) 0.850.90), 0.84 (95% CI 0.810.87), and 38 (95% CI 2949), and for dobutamine stress echocardiography 0.72 (95% CI 0.610.81), 0.89 (95% CI 0.830.93), and 20 (95% CI 946), respectively. Vasodilator stress CMR refined the post-test probability of CAD based on lower positive and negative likelihood ratios as compared to dobutamine stress echocardiography (5.5 and 0.14 vs 6.3 and 0.3, respectively). On behalf of the GadaCAD writing group, Andrew Arai presented the diagnostic accuracy of gadobutrol-enhanced CMR to detect significant CAD combing the results of the GadaCAD1 (n = 376 patients) and GadaCAD2 (n = 389 patients) phase III clinical trials.23 Three blinded, core-lab CMR readers per trial (6 observers in total) and 2 core-lab readers of quantitative coronary analysis participated in the analysis. The results showed that the test had 79% sensitivity, 87% specificity, and area under the curve of 0.82 to detect a 70% coronary artery stenosis on quantitative coronary analysis. When a 50% stenosis threshold was used, the area under the curve decreased to 0.77 and the minimum performance threshold was achieved in 1 out of the 6 readers for sensitivity (the lower limit of the 95% CI should be > 60%) and in all the observers for the specificity (the lower limit of the 95% CI should be > 55%). Therefore, these results support the 70% coronary stenosis threshold to define hemodynamically significant stenosis.
Furthermore, stress CMR is an important imaging tool for risk stratification of patients with known or suspected CAD. In a prospective multicentre registry including 6389 patients, Marcos Garces et al24 evaluated the association between the ischemic burden and all-cause mortality. During a median follow-up of almost 6 years, 717 (11.2%) patients died. The extent of ischemic burden (per 1 segment increase) on vasodilator stress CMR was independently related to long-term all-cause death (HR 1.05 [95% CI 1.031.07], P < .001). The interaction between coronary revascularization and vasodilator stress CMR was evaluated in 1034 patients (517 revascularized and 517 non-revascularized strictly 1:1 matched for age, diabetes mellitus, male sex, LVEF, ischemic burden and necrosis extent). In patients with more than 5 ischemic LV segments, revascularization was associated with improved survival (mortality rates for revascularized and non-revascularized patients: 9.3% vs. 16.3%, respectively: HR 0.56 [95% CI 0.320.98], P = .02) but independently increased the risk in patients with ≤5 ischemic LV segments (mortality rates for revascularized and non-revascularized patients: 16.2% vs 11.3%, respectively: HR 1.59 [95% CI 1.032.45], P = .037).
Romano et al26 investigated whether LV GLS measured with CMR feature tracking has prognostic value in individuals with preserved LVEF. Consecutive patients (n = 1274) with preserved LVEF (> 50%) and a clinical indication for CMR were included in a multicenter American registry. The median value of LV GLS was − 20%. During a median follow-up of 6.2 years, 115 patients died. Patients with an LV GLS ≥ − 20% had significantly reduced event-free survival compared to those with GLS<− 20% (log-rank P < .001). On Cox multivariable regression, each 1% worsening in LVGLS was associated with a 23.6% increased risk of death after adjustment for clinical and imaging risk factors.
Finally, Menacho Medina et al27 presented the effort of 4 countries (Argentina, Peru, India and South Africa) and 12 centers to implement an educational program and rapid CMR acquisition protocol (cardiac anatomy, function and tissue characterization) in 510 patients with cardiomyopathy. The mean duration was 21 ± 6 minutes for a contrast study and 12 ± 3 minutes for a non-contrast study. The measured clinical impact of CMR was (a) identification of new diagnosis in 105 patients (21%), (b) change/addition of medication in 128 patients (25%), (c) new procedure (intervention/surgery in 31 patients, 6% and invasive angiography or biopsy in 25 patients, 5%), or (d) hospital discharge/admission in 15 patients (3%). The investigators concluded that CMR can be easily be delivered in the developing countries with existing technology using faster protocols, leading to a significant clinical impact in 60% of patients.
The department of Cardiology of the Leiden University Medical Center receives unrestricted research grants from Bioventrix, Biotronik, Medtronic, Boston Scientific, Edwards Lifesciences, Abbott Vascular and GE Healthcare. Jeroen J Bax receives speaker fees from Abbott Vascular. Victoria Delgado received speaker fees from Abbott Vascular and Medtronic.
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- 17.Deseive SDC, Straub R, Kupke M, Broersen A, Kitslaar P, Hadamitzky M, Massberg S, Hausleiter J. Prognostic impact of CT derived quantified coronary artery plaque volume: A 10 year followup study. Abstract P2242 presented at the ESC congress 2019. Eur Heart J 2019. Suppl 1. https://doi.org/10.1093/eurheartj/ehz748.0720.
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- 19.Commandeur F, Goeller M, Razipour A, Cadet S, Hell MM, Kwiecinski J, Chen X, Chang HJ, Marwan M, Achenbach S, Berman DS, Slomka PJ, Tamarappoo BK, Dey D. Automated quantification of epicardial adipose tissue from noncontrast CT on multicenter and multivendor data using deep learning. Abstract 5963 presented at the ESC congress 2019. Eur Heart J 2019. Suppl 1. https://doi.org/10.1093/eurheartj/ehz746.0104.
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- 22.Haberkorn SM, Bueter SI, Kelm M, Hopkin G, Peterson SE. Systematic review and metaanalysis on the diagnostic accuracy for the detection of relevant coronary artery stenosis of vasodilator myocardial perfusion CMR and dobutamine stress echocardiography. Abstract 392 presented at the ESC congress 2019. Eur Heart J 2019. Suppl 1. https://doi.org/10.1093/eurheartj/ehz747.0098.
- 23.Arai A, on behalf of the GadaCAD Writing Group. Gadobutrol enhanced CMR to detect significant coronary artery disease defined by quantitative coronary angiography. Results from two blinded phase III clinical trials. Abstract 391 presented at the ESC congress 2019. Eur Heart J 2019. Suppl 1. https://doi.org/10.1093/eurheartj/ehz747.0097.
- 24.Marcos Garces V, Gavara J, Rios-Navarro C, Racugno P, Bellver-Navarro A, Ventura Perez B, Aguilar Botella J, Ventura S, Mainar L, Bosch MJ, Merlos P, Lopez-Lereu MP, Monmeneu JV, Chorro FJ, Bodi V. Ischemic burden by vasodilator stress CMR predicts long-term all-cause death and the effect of revascularization in patients with known or suspected stable ischemic heart disease. Abstract 393 presented at the ESC congress 2019. Eur Heart J 2019. Suppl 1. https://doi.org/10.1093/eurheartj/ehz747.0099.
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- 26.Romano S, Judd R, Kim R, Heitner J, Shah D, Shenoy C, Romer B, Salazar P, Farzaneh-Far A. Global longitudinal strain measured using feature-tracking cardiac magnetic resonance imaging is an independent predictor of all cause mortality in patients with preserved ejection fraction. Abstract 3225 presented at the ESC congress 2019. Eur Heart J 2019. Suppl 1. https://doi.org/10.1093/eurheartj/ehz745.0044.
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