Non-invasive imaging techniques in patients with coronary chronic total occlusions: A key for successful diagnosis, revascularization, and post-intervention outcomes.

Coronary chronic total occlusions (CTOs) are a common finding on coronary angiograms of patients with coronary artery disease, with an incidence ranging from 15% to 25%. Despite this high incidence, the proper treatment strategy in those patients often remains unclear. There are some observational studies suggesting that successful revascularization of a CTO can reduce angina symptoms, improve quality of life, improve the left ventricular ejection fraction, and lower mortality. However, not all patients will benefit from revascularization. Pre-procedural assessment of left ventricular function, ischemic burden, and viability seems to be crucial for a good outcome of the revascularization. The aim of this review is to compare currently available non-invasive imaging modalities with regard to utility in evaluation of patients with CTOs.

Neuron-Specific Enolase and S100B: The Earliest Predictors of Poor Outcome in Cardiac Arrest.

Background: Proper prognostication is critical in clinical decision-making following out-of-hospital cardiac arrest (OHCA). However, only a few prognostic tools with reliable accuracy are available within the first 24 h after admission. Aim: To test the value of neuron-specific enolase (NSE) and S100B protein measurements at admission as early biomarkers of poor prognosis after OHCA. Methods: We enrolled 82 consecutive patients with OHCA who were unconscious when admitted. NSE and S100B levels were measured at admission, and routine blood tests were performed. Death and poor neurological status at discharge were considered as poor clinical outcomes. We evaluated the optimal cut-off levels for NSE and S100B using logistic regression and receiver operating characteristic (ROC) analyses. Results: High concentrations of both biomarkers at admission were significantly associated with an increased risk of poor clinical outcome (NSE: odds ratio [OR] 1.042 per 1 ng/dL, [1.007−1.079; p = 0.004]; S100B: OR 1.046 per 50 pg/mL [1.004−1.090; p < 0.001]). The dual-marker approach with cut-off values of ≥27.6 ng/mL and ≥696 ng/mL for NSE and S100B, respectively, identified patients with poor clinical outcomes with 100% specificity. Conclusions: The NSE and S100B-based dual-marker approach allowed for early discrimination of patients with poor clinical outcomes with 100% specificity. The proposed algorithm may shorten the time required to establish a poor prognosis and limit the volume of futile procedures performed.

Contouring cardiac substructures on average intensity projection 4D-CT for lung cancer radiotherapy: A proposal of a heart valve contouring atlas.

BACKGROUND AND PURPOSE: A detailed contouring atlas of the heart valves is lacking. Existing heart contouring atlases have not been evaluated on average intensity projection four-dimensional non-contrast computed tomography (AVE-4D-CT) scans, routinely used for organ-at-risk delineation in lung cancer radiotherapy. We aimed to develop the heart valve contouring atlas and to assess inter-observer variation in delineation of the heart, its substructures, and coronary arteries on AVE-4D-CT scans, along with its impact on radiotherapy doses. MATERIALS AND METHODS: A heart valve contouring atlas was developed. Five radiation oncologists and four cardiologists delineated the valves according to this atlas, and the remaining heart substructures according to the existing atlases, on AVE-4D-CT scans of ten patients who underwent radio(chemo)therapy for NSCLC. The observer contours were then compared to the collectively defined "reference" contours. Spatial variation was assessed using the Sørensen-Dice similarity coefficient (DSC), directed average Hausdorff distance (DAH), directed Hausdorff distance (HD), and the mean distance to agreement (MDA). The effect of spatial variation on radiotherapy doses was assessed using the patients' treatment plans. RESULTS: Inter-observer contour overlap (mean DSC) was 0.68, 0.49, 0.45 and 0.45, and inter-observer contour separation (mean DAH) was 2.1, 3.4, 2.6 and 2.9 mm for the pulmonic (PV), aortic (AV), mitral (MV) and tricuspid valve (TV), respectively. Mean HD was higher for TV and MV (13.3 and 11.7 mm) than for AV and PV (7.8 and 7 mm). The highest mean MDA of 3.1 mm was found for AV, and the lowest (1.9 mm) for PV. Inter-observer agreement was the lowest for the coronary arteries, but statistically significant dose variation was found mainly in the left ventricular septal and anterior segments. CONCLUSION: Our atlas enables reproducible delineation of the heart valves. Delineation of the heart and its substructures on AVE-4D-CT scans is feasible, with inter-observer variability similar to that reported on conventional non-contrast CT scans.

Neuron-specific enolase concentrations for the prediction of poor prognosis of comatose patients after out-of-hospital cardiac arrest: an observational cohort study.

BACKGROUND: Neuron-specific enolase (NSE) is a biomarker for neurological outcomes after cardiac arrest with the most evidence collected thus far; however, recommended prognostic cutoff values are lacking owing to the discrepancies in the published data. AIMS: The aim of the study was to establish NSE cutoff values for prognostication in the environment of a cardiac intensive care unit following out-of-hospital cardiac arrest (OHCA). METHODS: A consecutive series of 82 patients admitted after OHCA were enrolled. Blood samples for the measurement of NSE levels were collected at admission and after 1 hour, 3, 12, 24, 48, and 72 hours. Neurological outcomes were quantified using the cerebral performance category (CPC) index. Each patient was classified into either the good (CPC ≤2) or poor prognosis (CPC ≥3) group. RESULTS: Median NSE concentrations were higher in the poor prognosis group, and the difference reached statistical significance at 48 and 74 hours (84.4 ng/ml vs 22.9 ng/ml at 48 hours and 152.1 ng/ml vs 18.7 ng/ml at 72 hours; P <0.001, respectively). Moreover, in the poor prognosis group, NSE increased significantly between 24 and 72 hours (P <0.001). NSE cutoffs for the prediction of poor prognosis after OHCA were 39.8 ng/ml, 78.7 ng/ml, and 46.2 ng/ml for 24, 48, and 72 hours, respectively. The areas under the curve were significant at each time point, with the highest values at 48 and 72 hours after admission (0.849 and 0.964, respectively). CONCLUSIONS: Elevated NSE concentrations with a rise in levels in serial measurements may be utilized in the prognostication algorithm after OHCA.

Myocarditis successfully diagnosed and controlled with speckle tracking echocardiography.

BACKGROUND: Speckle tracking echocardiography (STE) is an objective, well-validated and reproducible technique of assessing left ventricular longitudinal deformation; it also offers a more sensitive assessment of myocardial contractility than widely used visual estimation. Evaluating global longitudinal strain may help identify patients with subclinical left ventricular systolic dysfunction. CASE PRESENTATION: We report the case of a 28-year-old man with myocarditis, which successfully diagnosed and followed-up with the novel echocardiography method using speckle tracking imaging. The patient was referred to our hospital with an initial diagnosis of ST-segment elevation myocardial infarction. Transthoracic echocardiography did not show any contractility abnormalities. Hence, in the course of further diagnostics, left ventricular function was assessed by STE. Depressed global longitudinal strain was noted within several segments of the left ventricle. Then, cardiac magnetic resonance imaging was performed to confirm the diagnosis of myocarditis. CONCLUSIONS: STE seems to be competitive in relation to cardiac magnetic resonance imaging in the diagnosis of some diseases, such as myocarditis.