Clinical impact of multimodality assessment of myocardial viability.

Coronary artery disease (CAD) is a prevalent cause of left ventricular dysfunction. Nevertheless, effective elective revascularization, particularly surgical revascularization, can enhance long-term outcomes and, in selected cases, global left ventricular contractility. The assessment of myocardial viability and scars is still relevant in guiding treatment decisions and selecting patients who are likely to benefit most from blood flow restoration. Although the most recent randomized studies challenge the notion of "hibernating myocardium" and the clinical usefulness of assessing myocardial viability, the advancement of imaging techniques still renders this assessment valuable in specific situations. According to the guidelines of the European Society of Cardiology, non-invasive stress imaging may be employed to define myocardial ischemia and viability in patients with CAD and heart failure before revascularization. Currently, several non-invasive imaging techniques are available to evaluate the presence and extent of viable myocardium. The selection of the most suitable technique should be based on the patient, clinical context, and resource availability. This narrative review evaluates the characteristics of available imaging modalities for assessing myocardial viability to determine the most appropriate therapeutic strategy.

Cardiac Magnetic Resonance to Predict Cardiac Mass Malignancy: The CMR Mass Score.

BACKGROUND: Multimodality imaging is currently suggested for the noninvasive diagnosis of cardiac masses. The identification of cardiac masses' malignant nature is essential to guide proper treatment. We aimed to develop a cardiac magnetic resonance (CMR)-derived model including mass localization, morphology, and tissue characterization to predict malignancy (with histology as gold standard), to compare its accuracy versus the diagnostic echocardiographic mass score, and to evaluate its prognostic ability. METHODS: Observational cohort study of 167 consecutive patients undergoing comprehensive echocardiogram and CMR within 1-month time interval for suspected cardiac mass. A definitive diagnosis was achieved by histological examination or, in the case of cardiac thrombi, by histology or radiological resolution after adequate anticoagulation treatment. Logistic regression was performed to assess CMR-derived independent predictors of malignancy, which were included in a predictive model to derive the CMR mass score. Kaplan-Meier curves and Cox regression were used to investigate the prognostic ability of predictors. RESULTS: In CMR, mass morphological features (non-left localization, sessile, polylobate, inhomogeneity, infiltration, and pericardial effusion) and mass tissue characterization features (first-pass perfusion and heterogeneity enhancement) were independent predictors of malignancy. The CMR mass score (range, 0-8 and cutoff, ≥5), including sessile appearance, polylobate shape, infiltration, pericardial effusion, first-pass contrast perfusion, and heterogeneity enhancement, showed excellent accuracy in predicting malignancy (areas under the curve, 0.976 [95% CI, 0.96-0.99]), significantly higher than diagnostic echocardiographic mass score (areas under the curve, 0.932; P=0.040). The agreement between the diagnostic echocardiographic mass and CMR mass scores was good (κ=0.66). A CMR mass score of ≥5 predicted a higher risk of all-cause death (P<0.001; hazard ratio, 5.70) at follow-up. CONCLUSIONS: A CMR-derived model, including mass morphology and tissue characterization, showed excellent accuracy, superior to echocardiography, in predicting cardiac masses malignancy, with prognostic implications.

Spectrum of electrocardiographic abnormalities in a large cohort of cardiac masses.

BACKGROUND: Cardiac masses represent a heterogeneous clinical scenario. Potential electrocardiographic (ECG) red flags of malignancy remain to be investigated. OBJECTIVES: The purpose of this study was to describe the spectrum of ECG abnormalities in a large cohort of cardiac masses and to evaluate potential red flags suggestive of malignancy. METHODS: This was an observational cohort study of 322 consecutive patients with a cardiac mass and available ECG at Bologna University Hospital. All masses were diagnosed by histologic examination or, in the case of cardiac thrombi, by radiologic resolution after proper anticoagulant therapy. Multivariable regression analysis was used to assess potential predictors of malignancy among ECG abnormalities. All-cause mortality at follow-up was evaluated. RESULTS: Of 322 patients, 98 (30.4%) had malignant tumors. Compared with patients with benign masses, those with malignant tumors exhibited a higher heart rate, right-axis deviation, greater depolarization, repolarization abnormalities, and bradyarrhythmia at presentation. Regarding specific ECG features, a higher heart rate on admission (P = .014), bradyarrhythmias (P = .009), ischemic-like repolarization abnormalities (ST-segment deviation, both depression and elevation, and negative T-wave; P <.001), low voltages (P = .001), and right-axis deviation (P = .025) were identified as independent predictors of malignancy. Considering these specific ECG alterations, a malignancy-oriented ECG was associated with higher mortality at follow-up (median 20.7 months). CONCLUSION: ECG frequently is abnormal in cases of malignant cardiac tumors. Some specific ECG changes are strongly suggestive for malignancy and type of infiltration.