Presence Of Inducible Ischemia Research Articles

Comparison of Stress-Rest and Stress-LGE Analysis Strategy in Patients Undergoing Stress Perfusion Cardiovascular Magnetic Resonance.

Stress perfusion cardiovascular magnetic resonance can be performed without rest perfusion for the quantification of ischemia burden. However, the optimal method of analysis is uncertain. We identified 666 patients from CE-MARC (Clinical Evaluation of Magnetic Resonance Imaging in Coronary Heart Disease) with complete stress perfusion, rest perfusion, late gadolinium enhancement (LGE), and quantitative coronary angiography data. For each segment of the 16-segment model, perfusion was visually graded during stress and rest imaging, with infarct transmurality assessed from LGE imaging. In the stress-LGE analysis, a segment was defined as ischemic if it had a subendocardial perfusion defect with no infarction. Rest perfusion was not used in this analysis. We compared the diagnostic accuracy of stress-LGE analysis against quantitative coronary angiography and the stress-rest method validated in the original CE-MARC analysis. The diagnostic accuracy of the stress-LGE method was evaluated with different thresholds of infarct transmurality used to define whether an infarcted segment had peri-infarct ischemia. The optimal stress-LGE analysis classified all segments with a stress perfusion defect as ischemic unless they had >75% infarct transmurality (area under the curve, 0.843; sensitivity, 75.6%; specificity, 93.1%; P<0.001). This analysis method has superior diagnostic accuracy to the stress-rest method (area under the curve, 0.834; sensitivity, 73.6%; specificity, 93.1%; P<0.001, P value for difference=0.02). Patients were followed-up for median 6.5 years for major adverse cardiovascular events, with the presence of inducible ischemia by either the stress-LGE or stress-rest analysis being similar and strongly predictive (hazard ratio, 2.65; P<0.001, for both). In this analysis of CE-MARC, the optimum definition of inducible ischemia was the presence of a stress-induced perfusion defect without transmural infarction. This definition improved the diagnostic accuracy compared with the stress-rest analysis validated in the original study. The absence of ischemia by either analysis strategy conferred a favorable long-term prognosis.

Incremental prognostic value of fully-automatic machine-learning based global circumferential strain during a stress CMR exam

Abstract Background Left ventricular global circumferential strain using cardiovascular magnetic resonance (CMR) is an accurate indicator to predict cardiovascular events. Although several studies have shown the excellent prognostic value of stress CMR, the prognostic value of stress global circumferential strain (sGCS) remains unknown. Purpose To investigate the prognostic value of sGCS for predicting cardiovascular events using a fully automatic machine learning algorithm without human correction in consecutive patients referred for stress CMR. Methods Between 2016 and 2018, all consecutive patients referred for stress CMR were included and followed for the occurrence of major adverse cardiovascular events (MACE), defined by cardiovascular death or nonfatal myocardial infarction (MI). A fully automatic machine learning algorithm was trained and validated on unseen CMR studies (MAGNETOM Aera and Skyra, Siemens Healthcare, Erlangen, Germany) to assess the sGCS from short-axis cine images at stress. The algorithm combines multiple deep learning networks for detection and segmentation with an active contours approach. Cox regressions were performed to determine the prognostic value of sGCS. Results Among 2,906 consecutive patients who underwent stress CMR, the automatic sGCS was successfully computed in 2,859 (98.4%) patients (68% male, mean age 64±12 years). A total of 256 (8.8%) MACEs were observed during a median (IQR) follow-up period of 4.5 (3.7-5.3) years. Using Kaplan-Meier analysis, sGCS and the presence of inducible ischemia were significantly associated with the occurrence of MACE (hazard ratio, HR: 1.12 [95% CI, 1.08-1.17]; and HR: 8.48 [95% CI, 6.05-11.91], both p&amp;lt;0.001; respectively). After adjustment for traditional risk factors, inducible ischemia and late gadolinium enhancement (LGE), sGCS was an independent predictor of a higher incidence of MACE (adjusted HR: 1.12 [95% CI, 1.05-1.20]). Finally, sGCS showed an incremental prognostic value to predict MACE compared to a multivariable model including traditional risk factors, the presence of inducible ischemia and LGE (C-statistic improvement: 0.05, p=0.007; NRI= 0.169; IDI= 0.097; both p&amp;lt;0.001). Conclusions Automatic sGCS has an incremental prognostic value to predict MACE above traditional risk factors, and other stress CMR parameters.Survival curvesIncremental prognostic value

Incremental prognostic value of fully automatic LVEF measured at stress using machine learning

Abstract Background Cardiovascular magnetic resonance (CMR) is the gold standard to measure left ventricular ejection fraction (LVEF), and novel artificial intelligence-based automatic analyses have been proposed for less user interaction and time saving. However, whether automatic LVEF delivers similar information for risk stratification remains unknown. Purpose To assess the prognostic value for all-cause mortality of LVEF measured by stress CMR using a fully automatic machine learning algorithm without human correction. Methods Between 2016 and 2018, all consecutive patients referred for vasodilator stress CMR were included and followed for the occurrence of all-cause death. A fully automatic machine learning algorithm was trained on 3,700 scans and validated on 1,719 unseen CMR studies (MAGNETOM Aera and Skyra, Siemens Healthcare, Erlangen, Germany) to identify end-diastolic and end-systolic phases and segment LV volumes from short-axis cine images at stress. The algorithm combines multiple deep learning networks for detection and segmentation with an active contours approach. Manual and automatic LVEF measured at stress were compared with the paired Wilcoxon test, Pearson correlation and Bland-Altman analysis. Cox regressions were performed to determine the prognostic value of automatic LVEF measured at stress. Results Among 9,883 included patients included to this study, the automatic LVEF was successfully computed in 9,712 (98.3%) patients (66.6% male, mean age 66±12 years). The agreement between manual and automatic LVEF was good (bias = -0.01%, 95% limits of agreement, -6.7% to 6.7%; Pearson’s correlation coefficient r=0.94). A total of 504 (5.2%) deaths were observed during a median (IQR) follow-up period of 4.5 (3.7-5.2) years. Both manual and automatic volumetric assessments showed similar impact on outcome in univariate analyses (manual LVEF per 5%: hazard ratio [HR], 0.80 [95% CI 0.77–0.83]; p&amp;lt;0.001; automatic LVEF per 5%: HR, 0.84 [95% CI, 0.81–0.86]; p&amp;lt;0.001) and multivariable analyses (manual LVEF per 5%: HR, 0.81 [95% CI, 0.78–0.84]; p&amp;lt;0.001; automatic LVEF per 5%: HR, 0.84 [95% CI, 0.82–0.87]; p&amp;lt;0.001). Fully automatic stress LVEF showed an incremental prognostic value to predict all-cause mortality above all traditional risk factors, LVEF measured at rest, the presence of inducible ischemia and LGE (C-statistic improvement: 0.04; NRI=0.221; IDI=0.049; all p&amp;lt;0.001). Conclusions Automatic LVEF is equally predictive of all-cause mortality compared to manual LVEF, and has an incremental prognostic value compared to traditional risk factors, and other stress CMR parameters. Figures: Figure 1: Linear regression plots (A) and Bland-Altman plots (B) comparing stress LVEF measured by experts (LVEFexpert) and computed by fully-automated artificial-intelligence algorithms (LVEFAI). Figure 2: Kaplan-Meier curves for MACE stratified by fully-automated LVEF value. Test comparing the three groups is based on the log-rank test.

Safety and incremental prognostic value of stress CMR in patients with known chronic kidney disease

Abstract Background Cardiovascular disease (CVD) is the main cause of mortality in patients with chronic kidney disease (CKD). Although several studies have demonstrated the consistently high prognostic value of stress cardiovascular magnetic resonance (CMR), its prognostic value in patients with CKD is not well established. We aimed to assess the safety and the incremental prognostic value of vasodilator stress perfusion CMR in consecutive symptomatic patients with known CKD. Methods Between 2008 and 2021, we conducted a bi-center longitudinal study with all consecutive symptomatic patients with known CKD, defined by estimated glomerular filtration rate (eGFR) between 30 and 60 ml/min/1.73 m2, referred for vasodilator stress CMR. All patients with eGFR &amp;lt;30 ml/min/1.73 m² (n=62) were excluded due the risk of nephrogenic systemic fibrosis. All patients were followed for the occurrence of major adverse cardiovascular events (MACE) defined as cardiac death or recurrent nonfatal myocardial infarction (MI). Cox regressions were used to determine the prognostic value of stress CMR parameters. Results Of 825 patients with known CKD (71.4±8.8 years, 70% men), 769 (93%) completed the CMR protocol, and among those 702 (91%) completed the follow-up (median follow-up 6.4 (4.0–8.2) years). Stress CMR was well tolerated without occurrence of death or severe adverse event related to the injection of gadolinium or nephrogenic systemic fibrosis case. The presence of inducible ischemia was associated with the occurrence of MACE (hazard ratio [HR] 12.50; 95% confidence interval [CI]: 7.50–20.8; p&amp;lt;0.001). In multivariable analysis, ischemia and late gadolinium enhancement were independent predictors of MACE (HR 15.5; 95% CI: 7.72 to 30.9; and HR:4.67 [95%CI: 2.83-7.68]; respectively, both p&amp;lt;0.001). After adjustment, stress CMR findings showed the best improvement in model discrimination and reclassification above traditional risk factors (C-statistic improvement: 0.13; NRI=0.477; IDI=0.049). Conclusions In patients with known CKD, stress CMR is safe and its findings have an incremental prognostic value to predict MACE over traditional risk factors.Cumulative rates of MACECompeting risk analysis

Fully automated assessment of global longitudinal strain by machine learning predicts death in patients undergoing stress CMR

Abstract Background Several studies described the independent prognostic value of left ventricular global longitudinal strain (GLS) using cardiovascular magnetic resonance (CMR) to predict death and cardiovascular events. While routine GLS evaluation is a time consuming and partially operator-dependent process, the potential interest of GLS using a fully automated method has not yet been established. Purpose To assess the feasibility and prognostic value of GLS to predict all-cause death using a fully automated machine-learning algorithm without human correction in consecutive patients referred for stress CMR. Methods Between 2016 and 2018, all consecutive patients referred for stress CMR were included and followed for the occurrence of all-cause death. A fully automated machine learning algorithm was trained and validated on unseen CMR studies (MAGNETOM Aera and Skyra) to assess the GLS from long-axis cine images acquired at rest. The algorithm combines multiple deep learning networks for detection and segmentation with an active contours approach. Cox regressions were performed to determine the prognostic value of GLS. Results In a retrospective study of 9,883 consecutive patients who underwent stress CMR between 2016 and 2018, automated GLS was successfully computed in 9,638 (97.5%) patients (67% male, mean age 66±12 years). A total of 510 (5.3%) deaths were observed during a median follow-up period of 4.5 years (interquartile range: 3.7-5.2). GLS, the presence of inducible ischemia and late gadolinium enhancement (LGE) were significantly associated with the occurrence of death (hazard ratio, HR: 1.22 [95% CI, 1.17-1.26]; HR: 2.23 [95% CI, 1.61-3.10]; and HR: 2.04 [95% CI, 1.41-2.95], respectively, all p&amp;lt;0.001). After adjustment for traditional risk factors, inducible ischemia and LGE, GLS was an independent predictor of a higher incidence of death (adjusted HR: 1.14 [95% CI, 1.08-1.20]). Automated GLS showed an incremental prognostic value to predict death compared to traditional risk factors, inducible ischemia and LGE (C-statistic improvement: 0.05; NRI=0.146; IDI=0.244; all p&amp;lt;0.001). Conclusions Fully automated GLS measured at rest has an incremental prognostic value to predict all-cause death above traditional risk factors, and other stress CMR parameters. This finding suggests that unsupervised GLS measurements are accurate and allow improved risk stratification.

Incremental prognostic value of fully-automatic machine-learning based global circumferential strain during a stress CMR exam

Abstract Funding Acknowledgements Type of funding sources: None. Background Left ventricular global circumferential strain using cardiovascular magnetic resonance (CMR) is an accurate indicator to predict cardiovascular events. Although several studies have shown the excellent prognostic value of stress CMR, the prognostic value of stress global circumferential strain (sGCS) remains unknown. Aim To investigate the prognostic value of sGCS for predicting cardiovascular events using a fully automatic machine learning algorithm without human correction in consecutive patients referred for stress CMR. Methods Between 2016 and 2018, all consecutive patients referred for stress CMR were included and followed for the occurrence of major adverse cardiovascular events (MACE), defined by cardiovascular death or nonfatal myocardial infarction (MI). A fully automatic machine learning algorithm was trained and validated on unseen CMR studies (MAGNETOM Aera and Skyra, Siemens Healthcare, Erlangen, Germany) to assess the sGCS from short-axis cine images at stress. The algorithm combines multiple deep learning networks for detection and segmentation with an active contours approach. Cox regressions were performed to determine the prognostic value of sGCS. Results Among 2,906 consecutive patients who underwent stress CMR, the automatic sGCS was successfully computed in 2,859 (98.4%) patients (68% male, mean age 64±12 years). A total of 256 (8.8%) MACEs were observed during a median (IQR) follow-up period of 4.5 (3.7–5.3) years. Using Kaplan-Meier analysis, sGCS and the presence of inducible ischemia were significantly associated with the occurrence of MACE (hazard ratio, HR: 1.12 [95% CI, 1.08–1.17]; and HR: 8.48 [95% CI, 6.05–11.91], both p&amp;lt;0.001; respectively). After adjustment for traditional risk factors, inducible ischemia and late gadolinium enhancement (LGE), sGCS was an independent predictor of a higher incidence of MACE (adjusted HR: 1.12 [95% CI, 1.05–1.20]). Finally, sGCS showed an incremental prognostic value to predict MACE compared to a multivariable model including traditional risk factors, the presence of inducible ischemia and LGE (C-statistic improvement: 0.05, p = 0.007; NRI= 0.169; IDI= 0.097; both p&amp;lt;0.001). Conclusions Automatic sGCS has an incremental prognostic value to predict MACE above traditional risk factors, and other stress CMR parameters.

Additional prognostic value of fully-automatic Global Longitudinal Strain using machine learning

Abstract Funding Acknowledgements Type of funding sources: None. Background Several studies described the independent prognostic value of left ventricular global longitudinal strain (GLS) using cardiovascular magnetic resonance (CMR) to predict cardiovascular events. However, the potential interest of GLS using a fully automatic method assessed at rest during a stress CMR exam was not well established. Aim To assess the prognostic value of GLS to predict all-cause death using a fully automatic machine learning algorithm without human correction in consecutive patients referred for stress CMR. Methods Between 2016 and 2018, all consecutive patients referred for stress CMR were included and followed for the occurrence of all-cause death. A fully automatic machine learning algorithm was trained and validated unseen CMR studies (MAGNETOM Aera and Skyra, Siemens Healthcare, Erlangen, Germany) to assess the GLS from long-axis cine images acquired at rest. The algorithm combines multiple deep learning networks for detection and segmentation with an active contours approach. Cox regressions were performed to determine the prognostic value of GLS. Results Among 9,883 consecutive patients who underwent stress CMR between 2016 and 2018 retrospectively included, the automatic GLS was successfully computed in 9,638 (97.5%) patients (67% male, mean age 66±12 years). A total of 510 (5.3%) deaths were observed during a median (IQR) follow-up period of 4.5 (3.7–5.2) years. GLS, the presence of inducible ischemia and late gadolinium enhancement (LGE) were significantly associated with the occurrence of death (hazard ratio, HR: 1.22 [95% CI, 1.17–1.26]; HR: 2.23 [95% CI, 1.61–3.10]; and HR: 2.04 [95% CI, 1.41–2.95], respectively, all p&amp;lt;0.001). After adjustment for traditional risk factors, inducible ischemia and LGE, GLS was an independent predictor of a higher incidence of death (adjusted HR: 1.14 [95% CI, 1.08–1.20]). Automatic GLS showed an incremental prognostic value to predict death compared to traditional risk factors, inducible ischemia and LGE (C-statistic improvement: 0.05; NRI=0.146; IDI=0.244; all p&amp;lt;0.001). Conclusions Automatic GLS measured at rest has an incremental prognostic value to predict all-cause death above traditional risk factors, and other stress CMR parameters.

Safety and incremental prognostic value of stress CMR in patients with known chronic kidney disease

Abstract Funding Acknowledgements Type of funding sources: None. Background Cardiovascular disease (CVD) is the main cause of mortality in patients with chronic kidney disease (CKD). Although several studies have demonstrated the consistently high prognostic value of stress cardiovascular magnetic resonance (CMR), its prognostic value in patients with CKD is not well established. We aimed to assess the safety and the incremental prognostic value of vasodilator stress perfusion CMR in consecutive symptomatic patients with known CKD. Methods Between 2008 and 2021, we conducted a bi-center longitudinal study with all consecutive symptomatic patients with known CKD, defined by estimated glomerular filtration rate (eGFR) between 30 and 60 ml/min/1.73 m2, referred for vasodilator stress CMR. All patients with eGFR &amp;lt;30 ml/min/1.73 m² (n=62) were excluded due the risk of nephrogenic systemic fibrosis. All patients were followed for the occurrence of major adverse cardiovascular events (MACE) defined as cardiac death or recurrent nonfatal myocardial infarction (MI). Cox regressions were used to determine the prognostic value of stress CMR parameters. Results Of 825 patients with known CKD (71.4±8.8 years, 70% men), 769 (93%) completed the CMR protocol, and among those 702 (91%) completed the follow-up (median follow-up 6.4 (4.0–8.2) years). Stress CMR was well tolerated without occurrence of death or severe adverse event related to the injection of gadolinium or nephrogenic systemic fibrosis case. The presence of inducible ischemia was associated with the occurrence of MACE (hazard ratio [HR] 12.50; 95% confidence interval [CI]: 7.50–20.8; p&amp;lt;0.001). In multivariable analysis, ischemia and late gadolinium enhancement were independent predictors of MACE (HR 15.5; 95% CI: 7.72 to 30.9; and HR:4.67 [95%CI: 2.83–7.68]; respectively, both p&amp;lt;0.001). After adjustment, stress CMR findings showed the best improvement in model discrimination and reclassification above traditional risk factors (C-statistic improvement: 0.13; NRI=0.477; IDI=0.049). Conclusions In patients with known CKD, stress CMR is safe and its findings have an incremental prognostic value to predict MACE over traditional risk factors.

Prognostic impact of artificial intelligence-based fully automated global circumferential strain in patients undergoing stress CMR

To determine whether fully automated artificial intelligence-based global circumferential strain (GCS) assessed during vasodilator stress cardiovascular magnetic resonance (CMR) can provide incremental prognostic value. Between 2016 and 2018, a longitudinal study included all consecutive patients with abnormal stress CMR defined by the presence of inducible ischaemia and/or late gadolinium enhancement (LGE). Control subjects with normal stress CMR were selected using a propensity score-matching. Stress-GCS was assessed using a fully automatic machine learning algorithm based on featured-tracking imaging from short-axis cine images. The primary outcome was the occurrence of major adverse clinical events (MACE) defined as cardiovascular mortality or nonfatal myocardial infarction. Cox regressions evaluated the association between stress-GCS and the primary outcome after adjustment for traditional prognosticators. In 2670 patients [65 ± 12 years, 68% men, 1:1 matched patients (1335 with normal and 1335 with abnormal CMR)], stress-GCS was associated with MACE [median follow-up 5.2 (4.8–5.5) years] after adjustment for risk factors in the propensity-matched population (adjusted hazard ratio [HR]: 1.12 [95% CI: 1.06–1.18]) and patients with normal CMR (HR: 1.43 [95% CI: 1.30–1.57], both P < 0.001), but not in patients with abnormal CMR (P = 0.33). In patients with normal CMR, an increased stress-GCS > −10% showed the best improvement in model discrimination and reclassification above traditional and stress CMR findings (C-statistic improvement: 0.27; NRI = 0.538; IDI = 0.108, all P < 0.001; LR-test P < 0.001). Stress-GCS is independently associated with MACE in patients undergoing stress CMR, with an incremental prognostic value over traditional risk factors and stress CMR findings in the group of patients with normal CMR. Prognostic value of AI-based Stress-GCS (Fig. 1).

Prognostic impact of artificial intelligence-based fully automated global circumferential strain in patients undergoing stress CMR.

To determine whether fully automated artificial intelligence-based global circumferential strain (GCS) assessed during vasodilator stress cardiovascular (CV) magnetic resonance (CMR) can provide incremental prognostic value. Between 2016 and 2018, a longitudinal study included all consecutive patients with abnormal stress CMR defined by the presence of inducible ischaemia and/or late gadolinium enhancement. Control subjects with normal stress CMR were selected using a propensity score-matching. Stress-GCS was assessed using a fully automatic machine-learning algorithm based on featured-tracking imaging from short-axis cine images. The primary outcome was the occurrence of major adverse clinical events (MACE) defined as CV mortality or nonfatal myocardial infarction. Cox regressions evaluated the association between stress-GCS and the primary outcome after adjustment for traditional prognosticators. In 2152 patients [66 ± 12 years, 77% men, 1:1 matched patients (1076 with normal and 1076 with abnormal CMR)], stress-GCS was associated with MACE [median follow-up 5.2 (4.8-5.5) years] after adjustment for risk factors in the propensity-matched population [adjusted hazard ratio (HR), 1.12 (95% CI, 1.06-1.18)], and patients with normal CMR [adjusted HR, 1.35 (95% CI, 1.19-1.53), both P < 0.001], but not in patients with abnormal CMR (P = 0.058). In patients with normal CMR, an increased stress-GCS showed the best improvement in model discrimination and reclassification above traditional and stress CMR findings (C-statistic improvement: 0.14; NRI = 0.430; IDI = 0.089, all P < 0.001; LR-test P < 0.001). Stress-GCS is not a predictor of MACE in patients with ischaemia, but has an incremental prognostic value in those with a normal CMR although the absolute event rate remains low.

Safety and incremental prognostic value of stress cardiovascular magnetic resonance in patients with known chronic kidney disease

BackgroundCardiovascular disease (CVD) is the main cause of mortality in patients with chronic kidney disease (CKD). Although several studies have demonstrated the consistently high prognostic value of stress cardiovascular magnetic resonance (CMR), its prognostic value in patients with CKD is not well established. We aimed to assess the safety and the incremental prognostic value of vasodilator stress perfusion CMR in consecutive symptomatic patients with known CKD. MethodsBetween 2008 and 2021, we conducted a retrospective dual center study with all consecutive symptomatic patients with known stage 3 CKD, defined by estimated glomerular filtration rate (eGFR) between 30 and 60 ml/min/1.73 m2, referred for vasodilator stress CMR. All patients with eGFR < 30 ml/min/1.73 m2 (n = 62) were excluded due the risk of nephrogenic systemic fibrosis. All patients were followed for the occurrence of major adverse cardiovascular events (MACE) defined as cardiac death or recurrent nonfatal myocardial infarction (MI). Cox regression analysis was used to determine the prognostic value of stress CMR parameters. ResultsOf 825 patients with known CKD (71.4 ± 8.8 years, 70% men), 769 (93%) completed the CMR protocol. Follow-up was available in 702 (91%) (median follow-up 6.4 (4.0–8.2) years). Stress CMR was well tolerated without occurrence of death or severe adverse event related to the injection of gadolinium or cases of nephrogenic systemic fibrosis. The presence of inducible ischemia was associated with the occurrence of MACE (hazard ratio [HR] 12.50; 95% confidence interval [CI] 7.50–20.8; p < 0.001). In multivariable analysis, ischemia and late gadolinium enhancement were independent predictors of MACE (HR 15.5; 95% CI 7.72 to 30.9; and HR 4.67 [95% CI 2.83–7.68]; respectively, both p < 0.001). After adjustment, stress CMR findings showed the best improvement in model discrimination and reclassification above traditional risk factors (C-statistic improvement: 0.13; NRI = 0.477; IDI = 0.049). ConclusionsIn patients with known stage 3 CKD, stress CMR is safe and its findings have an incremental prognostic value to predict MACE over traditional risk factors.

Incremental prognostic value of stress CMR in symptomatic patients with coronary stenosis on CCTA

Abstract Background Noninvasive functional imaging is often performed in patients with obstructive coronary artery disease (CAD) on coronary computed tomography angiography (CCTA). However, the prognostic value of stress cardiovascular magnetic resonance (CMR) is unknown in patients with coronary stenosis of unknown significance on CCTA. Purpose To assess the prognostic value of stress CMR in symptomatic patients with obstructive CAD of unknown significance on CCTA. Methods Between 2008–2020, consecutive symptomatic patients without known CAD referred for CCTA were screened. Patients with obstructive CAD (at least 1 ≥50% stenosis on CCTA) were further referred for stress CMR and followed for the occurrence of major adverse cardiovascular events (MACE), defined by cardiovascular death or nonfatal myocardial infarction. Results Of 2,210 patients who completed CMR, 2,038 (46.5% male, mean age 69.8±12.2 years) completed follow-up (median 6.8 [IQR 5.9–9.2] years); 281 experienced a MACE (13.8%). Inducible ischemia and late gadolinium enhancement (LGE) were significantly associated with MACE (HR: 4.51, [95% CI: 3.55–5.74]; and HR: 3.32, [95% CI: 2.55–4.32], respectively; p&amp;lt;0.001). In multivariable Cox regression, number of segments with &amp;gt;70% stenosis, with noncalcified plaques and number of vessels with obstructive CAD were prognosticators (p&amp;lt;0.001). The presence of inducible ischemia and LGE were independent predictors of MACE (HR: 3.97, [95% CI: 3.43–5.13]; HR: 2.30, [95% CI: 1.52–3.33]; p&amp;lt;0.001). After adjustment, stress CMR showed the best improvement in model discrimination and reclassification above traditional risk factors and CCTA (C-statistic improvement: 0.04; NRI=0.421; IDI=0.047). Conclusions In symptomatic patients with obstructive CAD of unknown significance on CCTA, stress CMR had incremental prognostic value to predict MACE. Funding Acknowledgement Type of funding sources: None.

Prognostic Value of Stress CMR in Symptomatic Patients With Coronary Stenosis on CCTA

BackgroundNoninvasive functional imaging is often performed in patients with obstructive coronary artery disease (CAD) on coronary computed tomography angiography (CTA). However, the prognostic value of stress cardiac magnetic resonance (CMR) is unknown in patients with coronary stenosis of unknown significance on coronary CTA. ObjectivesThis study assessed the prognostic value of stress CMR in symptomatic patients with obstructive CAD of unknown significance on coronary CTA. MethodsBetween 2008 and 2020, consecutive symptomatic patients without known CAD referred for coronary CTA were screened. Patients with obstructive CAD (at least 1 ≥50% stenosis on coronary CTA) were further referred for stress CMR and followed for the occurrence of major adverse cardiovascular events (MACEs), defined as cardiovascular death or nonfatal myocardial infarction. ResultsOf 2,210 patients who completed CMR, 2,038 (46.5% men; mean age 69.8 ± 12.2 years) completed follow-up (median 6.8 years; IQR: 5.9-9.2 years); 281 experienced a MACE (13.8%). Inducible ischemia and late gadolinium enhancement (LGE) were significantly associated with MACEs (HR: 4.51 [95% CI: 3.55-5.74], and HR: 3.32 [95% CI: 2.55-4.32], respectively; P < 0.001). In multivariable Cox regression, the number of segments with >70% stenosis, with noncalcified plaques and the number of vessels with obstructive CAD were prognosticators (P < 0.001). The presence of inducible ischemia and LGE were independent predictors of MACEs (HR: 3.97 [95% CI: 3.43-5.13]; HR: 2.30 [95% CI: 1.52-3.33]; P < 0.001). After adjustment, stress CMR showed the best improvement in model discrimination and reclassification above traditional risk factors and coronary CTA (C-statistic improvement: 0.04; net reclassification improvement = 0.421; integrative discrimination index = 0.047). ConclusionsIn symptomatic patients with obstructive CAD of unknown significance on coronary CTA, stress CMR had incremental prognostic value to predict MACEs.

Incremental prognostic value of vasodilator stress cardiovascular magnetic resonance over coronary computed tomography angiography in symptomatic patients

Abstract Funding Acknowledgements Type of funding sources: None. BACKGROUND Current guidelines recommend to perform noninvasive functional imaging in patients with obstructive coronary artery disease (CAD) on coronary computed tomography angiography (CCTA). However, the prognostic value of stress cardiovascular magnetic resonance (CMR) over traditional risk factors and CCTA is not known. PURPOSE To assess the incremental prognostic value of stress CMR beyond traditional risk factors and CCTA in patients with obstructive CAD on CCTA. METHODS Between 2008 and 2020, consecutive symptomatic patients without known CAD referred for CCTA were screened. Among those, patients with obstructive CAD (at least 1 ≥50% stenosis on CCTA) and referred for functional stress CMR were included and followed for the occurrence of major adverse cardiovascular events (MACE), defined by cardiovascular death or nonfatal myocardial infarction. Univariable and multivariable Cox regressions were performed to determine the prognostic value of CCTA and CMR findings. RESULTS Of 2,210 patients who completed the CMR protocol, 2,038 patients (46.5% male, mean age 69.8 ± 12.2 years) completed the follow-up (median 6.8 [IQR 5.9-9.2] years); 281 experienced a MACE (13.8%). Stress CMR was well tolerated without severe adverse events. Using Kaplan-Meier analysis, inducible ischemia and late gadolinium enhancement (LGE) were significantly associated with the occurrence of MACE (hazard ratio, HR: 4.51, [95%CI: 3.55-5.74]; and HR: 3.32, [95%CI: 2.55-4.32], respectively; both p &amp;lt; 0.001). In multivariable Cox regression, the presence of inducible ischemia and LGE were independent predictors of a higher incidence of MACE (HR: 3.97, [95%CI: 3.43-5.13]; HR: 2.30, [95%CI: 1.52-3.33]; respectively, both p &amp;lt; 0.001). After adjustment, stress CMR findings showed the best improvement in model discrimination and reclassification above traditional risk factors and CCTA findings (C statistic improvement: 0.08; NRI = 0.421; IDI = 0.047). CONCLUSIONS In symptomatic patients with obstructive CAD of unknown significance on CCTA, stress CMR has an incremental prognostic value to predict MACE over traditional risk factors and CCTA findings. Abstract Figure. Kaplan-Meier curves for MACE Abstract Figure. Competitive risk analysis

Prognostic value of stress CMR-related coronary revascularization to predict death: A propensity score matching analysis a large registry with &gt; 200,000 patient-years of follow-up

While the benefit of coronary revascularization in patients with stable CAD is debated, data assessing the potential interest of stress CMR to guide coronary revascularization are limited. To assess the long-term prognostic value of stress CMR-related coronary revascularization in consecutive patients from a large registry. Between 2008 and 2018, a retrospective cohort study with a median follow-up of 6.0 years (IQR: 5.0–8.0) included all consecutive patients referred for stress CMR. Stress CMR-related coronary revascularization was defined by any coronary revascularization performed within 90 days after CMR with presence of inducible ischemia. The primary outcome was all-cause death based on the National Death Registry. Among the 31,752 consecutive patients (mean age 63.7 ± 12.1 years and 65.7% males), 2679 (8.4%) died at 206,453 patient-years of follow-up. In the overall population, CMR-related coronary revascularization was an independent predictor of greater survival (HR: 0.58; 99.5% CI: 0.46–0.74; P < 0.001). In 1680, 1:1 matched patients using a limited number of variables (840 revascularized, 840 non-revascularized), CMR-related revascularization was associated with a lower incidence of death only in patients with severe inducible ischemia (> 5 segments, P < 0.001), but showed no benefit in patients with mild or moderate ischemia (≤ 5 segments, P = 0.109). Using multivariable analysis in the propensity-matched population, CMR-related revascularization remained an independent predictor of a lower incidence of all-cause mortality (HR = 0.66; 99.5% CI: 0.54–0.80, P < 0.001) ( Fig. 1 ). In this large observational series of consecutive patients, stress CMR-related revascularization guided by the presence of inducible ischemia was associated with a lower incidence of death in patients with severe ischemia.

Incremental prognostic value of vasodilator stress cardiovascular magnetic resonance over coronary computed tomography angiography in symptomatic patients

Current guidelines recommend to perform noninvasive functional imaging in patients with obstructive coronary artery disease (CAD) on coronary computed tomography angiography (CCTA). However, the prognostic value of stress cardiovascular magnetic resonance (CMR) over traditional risk factors and CCTA is not known. To assess the incremental prognostic value of stress CMR beyond traditional risk factors and CCTA in patients with obstructive CAD on CCTA. Between 2008 and 2020, consecutive symptomatic patients without known CAD referred for CCTA were screened. Among those, patients with obstructive CAD (at least 1 ≥ 50% stenosis on CCTA) and referred for stress CMR were included and followed for the occurrence of MACE, defined by cardiovascular death or nonfatal myocardial infarction. Of 2210 patients who completed the CMR protocol, 2038 patients (46.5% male, mean age 69.8 ± 12.2 years) completed the follow-up (median 6.8 [IQR 5.9–9.2] years); 281 experienced a MACE (13.8%). Stress CMR was well tolerated without severe adverse events. Using Kaplan-Meier analysis, inducible ischemia and late gadolinium enhancement (LGE) were significantly associated with the occurrence of MACE (hazard ratio [HR]: 4.51, [95% CI: 3.55–5.74]; and HR: 3.32, [95% CI: 2.55–4.32], respectively; both P < 0.001). In multivariable Cox regression, the presence of inducible ischemia and LGE were independent predictors of a higher incidence of MACE (HR: 3.97, [95% CI: 3.43–5.13]; HR: 2.30, [95% CI: 1.52–3.33]; respectively, both P < 0.001). After adjustment, stress CMR findings showed the best improvement in model discrimination and reclassification above traditional risk factors and CCTA findings (C statistic improvement: 0.08; NRI = 0.421; IDI = 0.047) ( Fig. 1 ). In symptomatic patients with obstructive CAD of unknown significance on CCTA, stress CMR has an incremental prognostic value to predict MACE over traditional risk factors and CCTA findings.

Prognostic Value of Vasodilator Stress Perfusion Cardiovascular Magnetic Resonance in Patients With Prior Myocardial Infarction

ObjectivesThis study sought to assess the incremental prognostic value of vasodilator stress cardiovascular magnetic resonance (CMR) in patients with prior myocardial infarction (MI). BackgroundRecurrent MI is a major cause of mortality and morbidity among MI survivors. MethodsBetween 2008 and 2019, consecutive patients with prior MI referred for stress CMR were followed up for the occurrence of major adverse cardiovascular events (MACE), defined by cardiovascular mortality or recurrent nonfatal MI. Uni- and multivariable Cox regressions were performed to determine the prognostic value of inducible ischemia and the extent of myocardial scar. ResultsAmong 1,594 patients with prior MI and myocardial scar on CMR, 1,401 (92%) (68.2 ± 11.0 years; 61.4% men) completed the follow-up (median: 6.2 years), and 205 had MACE (14.6%). Patients without inducible ischemia experienced a lower annual rate of MACE (3.1%) than those with 1–2 (4.9%), 3–5 (21.5%), or ≥6 segments of ischemia (45.7%) (all p < 0.01). Using Kaplan-Meier analysis, the presence of inducible ischemia and the extent of scar were associated with MACE (hazard ratio [HR]:3.52; 95% confidence interval [CI]: 2.67 to 4.65 and HR: 1.66; 95% CI: 1.53 to 2.18, respectively; both p < 0.001). In multivariable stepwise Cox regression, the presence of ischemia and the extent of scar were independent predictors of MACE (HR: 2.84; 95% CI: 2.14 to 3.78 and HR: 1.57; 95% CI: 1.44 to 1.72, respectively; both p < 0.001). These findings were significant in both symptomatic and asymptomatic patients. The addition of CMR parameters to the model including traditional risk factors resulted in a better discrimination for MACE (C-statistic: 0.76 vs. 0.62). ConclusionsIn patients with prior MI, vasodilator stress CMR has independent and incremental prognostic value over traditional risk factors.

Stress perfusion CMR provides strong long-term prognostic value to cardiac events irrespective of patient sex

Abstract Funding Acknowledgements Type of funding sources: None. BACKGROUND Compelling evidence indicates that women with coronary artery disease (CAD) experience worse outcomes than men due to a lack of early diagnosis and management. Numerous clinical studies have shown that stress cardiovascular magnetic resonance (CMR) detects evidence of myocardial ischemia and infarction at high accuracy. However, long-term prognosis data are limited. PURPOSE The aim of this study was to test the hypothesis that stress perfusion CMR imaging can provide robust prognostic value in women presenting with suspected ischemia, to the same extent as in men. METHODS Consecutive patients referred for vasodilator stress perfusion CMR with dipyridamole were followed for the occurrence of major adverse cardiovascular events (MACE) defined as cardiovascular death or non-fatal myocardial infarction (MI). The secondary endpoint was cardiovascular death. The safety of the CMR was assessed by clinical monitoring for 1 hour after the end of the CMR. Univariable and multivariable Cox regressions for MACE were performed to determine the prognostic value of inducible ischemia or late gadolinium enhancement (LGE) by CMR in each sex. RESULTS Of 3436 patients referred for stress CMR in a single French center, 3322 (97%) completed the CMR protocol (59.9 ± 11.8 years, 57% men), and among those 3033 (91%) completed the follow-up (median follow-up 5.4 ± 0.2 years). Reasons for failure to complete CMR included renal failure (n = 29), claustrophobia (n = 26), poor gating (n = 22), intolerance to stress agent (n = 19) and declining participation (n = 18). Stress CMR was well tolerated without occurrence of death or severe disabling adverse event. Using Kaplan-Meier analysis, the presence of inducible myocardial ischemia identified the occurrence of MACE for both women (hazard ratio HR 2.36 ; 95% confidence interval CI: 1.54–3.62; p &amp;lt; 0.001) and men (HR 3.57 ; 95% confidence interval CI: 2.75 – 4.64; p &amp;lt; 0.001) (Figure). Moreover, inducible ischemia was associated with cardiovascular death for both women (hazard ratio HR 1.92; 95% confidence interval CI: 1.12 – 2.74; p = 0.04) and men (HR 2.71 ; 95% confidence interval CI: 1.98 – 4.41; p &amp;lt; 0.001). In a multivariable stepwise Cox regression including clinical characteristics and CMR, presence of inducible ischemia was an independent predictor of a higher incidence of MACE for both women (hazard ratio HR 1.85 ; 95% confidence interval CI: 1.18 – 2.92; p = 0.008) and men (HR 3.55 ; 95% confidence interval CI: 2.73 – 4.63; p &amp;lt; 0.001). Moreover, inducible ischemia was associated with cardiovascular death for men (HR 1.99; 95% confidence interval CI: 1.65 – 3.01; p &amp;lt; 0.01) but not for women (p = 0.11). CONCLUSION Stress CMR is feasible, safe and has a good discriminative prognostic value to predict the occurrence of MACE in patients of either sex presenting with inducible ischemia. However, inducible ischemia is an independent predictor of a higher incidence of CV mortality only in men. Abstract Figure.

Feasibility and prognostic value of vasodilator stress perfusion CMR in patients with atrial fibrillation

Abstract Funding Acknowledgements Type of funding sources: None. BACKGROUND Several studies have demonstrated the consistently high diagnostic and prognostic value of stress perfusion imaging with cardiovascular magnetic resonance (CMR). The feasibility and the prognostic value of vasodilator stress perfusion CMR in patients with atrial fibrillation (AF) is unknown, because most studies have excluded arrhythmic patients from analysis. PURPOSE The aim of our study was to assess the technical feasibility and the prognostic value of vasodilator stress perfusion CMR in patients with AF. METHODS Between 2008 and 2018, we prospectively included consecutive patients with AF referred for vasodilator stress perfusion CMR with dipyridamole. They were followed for the occurrence of major adverse cardiovascular events (MACE) defined as cardiac death or non-fatal myocardial infarction (MI). The secondary outcome was all-cause mortality. The diagnosis of AF was confirmed on 12-lead ECG before and after CMR, and patients with sinus rhythm during CMR were excluded. In the CMR protocol, to limit AF-related artifacts on cine images, an arrhythmia rejection algorithm, or real-time sequences were used. Univariable and multivariable Cox regressions for MACE were performed to determine the prognostic value of inducible ischemia or late gadolinium enhancement (LGE) by CMR. RESULTS Of 639 patients with AF and suspected or stable chronic CAD (72 ± 9 years, 77% men), 602 (94%) completed the CMR protocol, and among those 538 (89%) completed the follow-up (median follow-up 5.1 (3.3–7.1) years). Reasons for failure to complete CMR included AF-related ECG-gating problems (n = 17), intolerance to stress agent (n = 7), renal failure (n = 6), declining participation (n = 4) and claustrophobia (n = 3). Stress CMR was well tolerated without occurrence of death or severe disabling adverse event. Patients without inducible ischemia or LGE experienced a substantially lower annual event rate of MACE (1.2%) than those with ischemia and without LGE (8.9%), or those with both ischemia and LGE (9.8%; p &amp;lt; 0.001 for all). Using Kaplan-Meier analysis, the presence of myocardial ischemia identified the occurrence of MACE (hazard ratio HR 7.56 ; 95% confidence interval CI: 4.86 – 11.80; p &amp;lt; 0.001) (Figure). In a multivariable stepwise Cox regression including clinical characteristics and CMR indexes, the presence of inducible ischemia was an independent predictor of a higher incidence of MACE (HR 5.88 ; 95% CI: 3.70 - 10.07; p &amp;lt; 0.001) and all-cause mortality (HR 2.51 ; 95% CI: 1.47 - 4.17; p &amp;lt; 0.001). CONCLUSION Stress CMR is technically feasible and has a good discriminative prognostic value to predict the occurrence of MACE and all-cause mortality in patients with AF. Abstract Figure. Kaplan-Meier curves for MACE

Prognostic value of vasodilator stress perfusion CMR in patients with known myocardial infarction

Abstract Funding Acknowledgements Type of funding sources: None. BACKGROUND Several studies have demonstrated the consistently high prognostic value of stress perfusion cardiovascular magnetic resonance (CMR). This prognostic value in patients with known myocardial infarction (MI) is poorly described. There remains some skepticism about the capacity of stress CMR in predicting the clinical outcome due to the technical challenge during image analysis causes by myocardial scar. PURPOSE The aim of our study was to assess the prognostic value of vasodilator stress perfusion CMR in patients with known MI. METHODS We prospectively included consecutive patients with known MI referred for vasodilator stress perfusion CMR with dipyridamole. They were followed for the occurrence of major adverse cardiovascular events (MACE) defined as cardiac death or recurrent non-fatal myocardial infarction (MI). Univariable and multivariable Cox regressions for MACE were performed to determine the prognostic value of inducible ischemia or late gadolinium enhancement (LGE) by CMR. RESULTS Of 1602 patients with known MI (68 ± 17 years, 78% men), 1556 (97%) completed the CMR protocol, and among those 1401 (90%) completed the follow-up (median follow-up 5.7 (3.9–7.6) years). Reasons for failure to complete CMR included ECG-gating problems (n = 13), intolerance to stress agent (n = 12), renal failure (n = 12), declining participation (n = 4) and claustrophobia (n = 5). Stress CMR was well tolerated without occurrence of death or severe adverse event. Patients without inducible ischemia experienced a substantially lower annual event rate of MACE (3.1%) than those with 1 or 2 segments of ischemia (4.5%), than those with 3 to 5 segments of ischemia (21.5%), than those with 6 or more segments of ischemia (45.7%, for all p &amp;lt; 0.01). Using Kaplan-Meier analysis, the presence of myocardial ischemia identified the occurrence of MACE (hazard ratio HR 3.52; 95% confidence interval CI: 2.67 – 4.65; p &amp;lt; 0.001). In a multivariable stepwise Cox regression including clinical characteristics and CMR indexes, the presence of inducible ischemia was an independent predictor of a higher incidence of MACE (HR 2.84; 95% CI: 2.14 to 3.78; p &amp;lt; 0.001). CONCLUSION Stress CMR is technically feasible and has a good discriminative prognostic value to predict the occurrence of MACE in patients with known MI. Abstract Figure. Kaplan-Meier curves for MACE