BACKGROUND: Differentiating Takotsubo cardiomyopathy (TTC) from acute coronary syndrome involving the left anterior descending coronary artery (LAD-ACS) is difficult due to left ventricular apical wall motion abnormality pattern in both and typically requires an invasive coronary angiography (ICA) study for diagnostic confirmation.
OBJECTIVE: To identify differences in the regional wall motion abnormality (RWMA) pattern using a comprehensive comparative analysis of the transthoracic echocardiographic (TTE) findings in patients with TTC versus LAD-ACS.
METHODS: This was a retrospective, randomized, blinded comparison study including a derivation cohort of 105 patients with TTC (N=52) or LAD-ACS (N=53) with concomitant TTE and ICA identified from our institutional database. A comprehensive echocardiographic wall motion analysis was performed (unblinded) to search for subtle differences in RWMA patterns by marking the exact locations of the end-systolic hinge points (HP) - defined as the intersection between the normal and abnormal regional myocardial thickening - in all apical views. The HP location relative to mitral annulus in each apical view was compared for symmetry and the apical 2-chamber (A2C) view was identified as having the most consistent, quantitative difference between TTC and LAD-ACS. This A2C quantitative model was then prospectively studied in a randomized, blinded, validation cohort of 30 subjects with either TTC or LAD-ACS by eight echocardiographic readers with all levels of clinical experience.
RESULTS: In the unblinded derivation cohort, the A2C view showed that the ratio (1.02) and the absolute distance between the anterior HP (3.57 cm) and the inferior HP (3.53 cm) in TTC was significantly different than the ratio (0.761) and the absolute differences between the AHP (4.5 cm) and the IHP (5.93 cm) in LAD-ACS. An AHP: IHP of 0.96 for men and 0.84 for women was able to correctly categorize 84.8% of male and 91.7% of female patients. When applied to the validation cohort, the model showed fairly accurate results with a 74% prediction rate in diagnosing TTC in female patients.
CONCLUSIONS: We propose a relatively simple 2-D TTE diagnostic tool emphasizing subtle differences in the RWMA pattern in the A2C view alone as a semi-quantitative imaging parameter to help differentiate TTC from LAD-ACS.

Background Regional wall motion abnormalities (WMAs) after myocardial infarction are associated with adverse remodeling and increased mortality in the short to medium term. Their long-term prognostic impact is less well understood. Methods and Results Via the National Echo Database of Australia (2000-2019), we identified normal wall motion versus WMA for each left ventricular wall among 492 338 individuals aged 61.9±17.9 years. The wall motion score index was also calculated. We then examined actual 1- and 5-year mortality, plus adjusted risk of long-term mortality according to WMA status. Overall, 39 346/255 697 men (15.4%) and 17 834/236 641 women (7.5%) had a WMA. The likelihood of a WMA was associated with increasing age and greater systolic/diastolic dysfunction. A defect in the inferior versus anterior wall was the most and least common WMA in men (8.0% and 2.5%) and women (3.3% and 1.1%), respectively. Any WMA increased 5-year mortality from 17.5% to 29.7% in men and from 14.9% to 30.8% in women. Known myocardial infarction (hazard ratio [HR], 0.86 [95% CI, 0.80-0.93]) or revascularization (HR, 0.87 [95% CI, 0.82-0.92]) was independently associated with a better prognosis, whereas men (1.22-fold increase) and those with greater systolic/diastolic dysfunction had a worse prognosis. Among those with any WMA, apical (HR, 1.08 [95% CI, 1.02-1.13]) or inferior (HR, 1.09 [95% CI, 1.04-1.15]) akinesis, dyskinesis or aneurysm, or a wall motion score index >3.0 conveyed the worst prognosis. Conclusions In a large real-world clinical cohort, twice as many men as women have a WMA, with inferior WMA the most common. Any WMA confers a poor prognosis, especially inferoapical akinesis/dyskinesis/aneurysm.

OBJECTIVE: Using existing transthoracic echocardiographic indices to quantify left ventricular wall motion abnormalities (WMAs) can be difficult due to the variations in the location of the abnormalities within the left ventricle, the quality of examinations, and the inter-/intra-observer variability of available indices. This study aimed to evaluate a new approach for measuring the extent of WMA by calculating the percentage of abnormal wall motion and comparing it to the wall motion score index (WMSI). The study also sought to assess inter- and intra-observer variability.
METHODS: The study included 140 echocardiograms from 54 patients presenting with ST-elevation myocardial infarction or Takotsubo syndrome. All patients underwent an echocardiographic examination according to a standard protocol and the images were used to measure the extent of akinesia (proportion akinesia, PrA), akinesia and hypokinesia (proportion akinesia/hypokinesia, PrAH), and WMSI. The inter-observer variability between the two operators was analyzed. The intra-observer analysis was performed by one observer using the same images at least 1 month after the first measurement. The agreement was analyzed using the Pearson correlation coefficient and Bland-Altman plots.
RESULTS: Inter- and intra-observer variability for PrA and PrAH were low and comparable to those for WMSI.
CONCLUSIONS: PrA and PrAH are reliable and reproducible echocardiographic methods for the evaluation of left ventricular wall motion.

UNASSIGNED: To investigate whether endocardial regional shortening computed from four-dimensional (4D) CT angiography (RSCT) can be used as a decision classifier to detect the presence of left ventricular (LV) wall motion abnormalities (WMAs).
UNASSIGNED: One hundred electrocardiographically gated cardiac 4D CT studies (mean age, 59 years ± 14 [SD]; 61 male patients) conducted between April 2018 and December 2020 were retrospectively evaluated. Three experts labeled LV wall motion in each of the 16 American Heart Association (AHA) segments as normal or abnormal; they also measured peak RSCT across one heartbeat in each segment. The data set was split evenly into training and validation groups. During training, interchangeability of RSCT thresholding with experts to detect WMA was assessed using the individual equivalence index (γ), and an optimal threshold of the peak RSCT (RSCT*) that achieved maximum agreement was identified. RSCT* was then validated using the validation group, and the effect of AHA segment-specific thresholds was evaluated. Agreement was assessed using κ statistics.
UNASSIGNED: The optimal threshold, RSCT* of -0.19, when applied to all AHA segments, led to high agreement (agreement rate = 92.17%, κ = 0.82) and interchangeability with experts (γ = -2.58%). The same RSCT* also achieved high agreement in the validation group (agreement rate = 90.29%, κ = 0.76, γ = -0.38%). The use of AHA segment-specific thresholds (range: 0.16 to -0.23 across AHA segments) slightly improved agreement (1.79% increase).
UNASSIGNED: RSCT thresholding was interchangeable with expert visual analysis in detecting segmental WMA from 4D CT and may be used as an objective decision classifier.Keywords: CT, Left Ventricle, Regional Endocardial Shortening, Wall Motion Abnormality Supplemental material is available for this article. © RSNA, 2023.

UNASSIGNED: 4D cardiac CT (cineCT) is increasingly used to evaluate cardiac dynamics. While echocardiography and CMR have demonstrated the utility of longitudinal strain (LS) measures, measuring LS from cineCT currently requires reformatting the 4D dataset into long-axis imaging planes and delineating the endocardial boundary across time. In this work, we demonstrate the ability of a recently published deep learning framework to automatically and accurately measure LS for detection of wall motion abnormalities (WMA).
UNASSIGNED: One hundred clinical cineCT studies were evaluated by three experienced cardiac CT readers to identify whether each AHA segment had a WMA. Fifty cases were used for method development and an independent group of 50 were used for testing. A previously developed convolutional neural network was used to automatically segment the LV bloodpool and to define the 2, 3, and 4 CH long-axis imaging planes. LS was measured as the perimeter of the bloodpool for each long-axis plane. Two smoothing approaches were developed to avoid artifacts due to papillary muscle insertion and texture of the endocardial surface. The impact of the smoothing was evaluated by comparison of LS estimates to LV ejection fraction and the fractional area change of the corresponding view.
UNASSIGNED: The automated, DL approach successfully analyzed 48/50 patients in the training cohort and 47/50 in the testing cohort. The optimal LS cutoff for identification of WMA was -21.8, -15.4, and -16.6% for the 2-, 3-, and 4-CH views in the training cohort. This led to correct labeling of 85, 85, and 83% of 2-, 3-, and 4-CH views, respectively, in the testing cohort. Per-study accuracy was 83% (84% sensitivity and 82% specificity). Smoothing significantly improved agreement between LS and fractional area change (R 2: 2 CH = 0.38 vs. 0.89 vs. 0.92).
UNASSIGNED: Automated LV blood pool segmentation and long-axis plane delineation via deep learning enables automatic LS assessment. LS values accurately identify regional wall motion abnormalities and may be used to complement standard visual assessments.

BACKGROUND: Electrocardiographically occult occlusive myocardial infarction (OOMI), defined as coronary artery occlusion requiring revascularization without ST-segment elevation on electrocardiogram (ECG), is associated with delayed diagnosis resulting in higher morbidity. Left ventricular (LV) wall motion abnormalities (WMA) appreciated on echocardiography can expedite OOMI diagnosis. We sought to determine whether point-of-care ultrasound (PoCUS) demonstrating WMA expedites revascularization time when performed on emergency department patients being evaluated for OOMI.
METHODS: This was a single-site retrospective cohort study over a 38-month period. All admitted adult ED patients ≥35 years of age evaluated by the emergency physician with PoCUS for LV function, an ECG, and a standard troponin I biomarker assay were included. Patients with ST-segment elevation myocardial infarction (STEMI), prior LV dysfunction, fever ≥100.4 °F, or hypotension were excluded. A structured chart abstraction was performed for relevant demographic and clinical characteristics.
RESULTS: We screened 1561 ED patients who underwent cardiac PoCUS for eligibility: 874 met exclusion criteria, 453 were discharged, and 234 were included in the analysis. Twenty-three patients had coronary interventions, of which 14 had WMA. PoCUS was performed 36 min (IQR -9-68) before troponin resulted (n = 234) and 39 min (IQR -23-96) before the first troponin elevation (n = 85). Twenty of the 23 patients diagnosed with OOMI had elevated troponins prior to catheterization with time from PoCUS to first troponin elevation of 43 min (IQR 9-263). Of these patients, 11 had WMA identified on PoCUS, and the WMA was appreciated 47 min (IQR 26-255) prior to troponin elevation. The time from ED arrival to revascularization was 673 min (IQR 251-2158); 432 min (IQR 209-1300) among patients with WMA (n = 14) compared with 2158 min (IQR 552-3390) for those without WMA (n = 9).
CONCLUSIONS: Cardiac PoCUS may identify OOMI earlier than standard evaluation and may expedite definitive management.

Echocardiography is the first-line imaging modality for assessing cardiac function and morphology. The miniaturisation of ultrasound technology has led to the development of hand-held cardiac ultrasound (HCU) devices. The increasing sophistication of available HCU devices enables clinicians to more comprehensively examine patients at the bedside. HCU can augment clinical exam findings by offering a rapid screening assessment of cardiac dysfunction in both the Emergency Department and in cardiology clinics. Possible implications of implementing HCU into clinical practice are discussed in this review paper.

OBJECTIVE: To develop an automated method for bloodpool segmentation and imaging plane re-slicing of cardiac computed tomography (CT) via deep learning (DL) for clinical use in coronary artery disease (CAD) wall motion assessment and reproducible longitudinal imaging.
RESULTS: One hundred patients who underwent clinically indicated cardiac CT scans with manually segmented left ventricle (LV) and left atrial (LA) chambers were used for training. For each patient, long-axis (LAX) and short-axis planes were manually defined by an imaging expert. A DL model was trained to predict bloodpool segmentations and imaging planes. Deep learning bloodpool segmentations showed close agreement with manual LV [median Dice: 0.91, Hausdorff distance (HD): 6.18 mm] and LA (Dice: 0.93, HD: 7.35 mm) segmentations and a strong correlation with manual ejection fraction (Pearson r: 0.95 LV, 0.92 LA). Predicted planes had low median location (6.96 mm) and angular orientation (7.96 ° ) errors which were comparable to inter-reader differences (P > 0.71). 84-97% of DL-prescribed LAX planes correctly intersected American Heart Association segments, which was comparable (P > 0.05) to manual slicing. In a test cohort of 144 patients, we evaluated the ability of the DL approach to provide diagnostic imaging planes. Visual scoring by two blinded experts determined ≥94% of DL-predicted planes to be diagnostically adequate. Further, DL-enabled visualization of LV wall motion abnormalities due to CAD and provided reproducible planes upon repeat imaging.
CONCLUSIONS: A volumetric, DL approach provides multiple chamber segmentations and can re-slice the imaging volume along standardized cardiac imaging planes for reproducible wall motion abnormality and functional assessment.

Right ventricular involvement in takotsubo cardiomyopathy is poorly understood and may be more common than previously reported. The significant hemodynamic ramification of this condition is elicited in this case report in which an 81-year-old female suffered a deadly biventricular takotsubo cardiomyopathy with subsequent resolution of left ventricular function but the persistence of right ventricular dysfunction. In this case, we highlight the importance of shifting focus to different recovery patterns within the two ventricles. Through a review of published cases, we have found an absence of attention to the right ventricle, an inconsistency in the appropriate diagnostic criteria of right ventricular takotsubo, and a lack of reporting on its recovery timing. This knowledge gap requires future studies.

OBJECTIVE: To use adenosine-induced stress CT myocardial perfusion imaging (CT-MPI) to determine normal reference values for left ventricle (LV) wall thickness (WT) and motion parameters.
METHODS: This study included 106 Korean subjects (52 men and 54 women) who underwent CT-MPI due to chest pain, but were not found to have any detectable mild or severe coronary artery disease or myocardial perfusion defect. The following quantitative parameters were assessed on the CT-MPI according to a 17-segment model: LV myocardial thickness at end-systolic (WTES) and end-diastolic (WTED) phases, systolic wall thickening (SWT), and wall motion (WM). The associations of the measured parameters with the subjects\' demographic characteristics and comorbidities were also analyzed.
RESULTS: Septal wall (7.2 mm) and basal-level (7.7 mm) LV myocardium demonstrated significantly higher WT (p < 0.001). SWT was highest in lateral (77.8%, p < 0.014) and apical (78.9%, p = 0.009) myocardium, while lateral (7.7 mm) and basal (6.7 mm) myocardium exhibited the greatest WM (p < 0.001). WT was significantly higher in men and younger (<60 years) subjects (all, p < 0.001). Hypertensive individuals presented with significantly higher SWT (79.9%, p = 0.024). LV WT exhibited statistically significant correlations (all positive, except for age) with age, height, weight, body surface area, body mass index, and systolic blood pressure (all, p < 0.010).
CONCLUSIONS: The present study provides CT-MPI reference values for LV myocardial WT, SWT, and WM measured on an adult Korean population. Knowledge of such normal reference measurements would be beneficial for the efficient interpretation of CT-MPI examinations in populations of Asian ethnicity.