Echocardiography-A Journal of Cardiovascular Ultrasound and Allied Techniques最新文献

A 15-year-old male patient presented with a 3-year history of recurrent dizziness and headaches and was initially diagnosed with patent foramen ovale. A transcatheter closure procedure was planned and conducted under general anesthesia, utilizing ultrasound guidance through the femoral vein. Preadmission echocardiography confirmed the presence of a patent foramen ovale. However, further investigation with transesophageal echocardiography (TEE) performed under general anesthesia, revealed that the observed atrial septal anomaly was not a patent foramen ovale. Instead, real-time TEE identified it as the left atrial opening of the coronary vein. Subsequent detailed TEE tracking confirmed a rare case of coronary sinus ostium atresia with left atrial reflux of the coronary vein, leading to a significant revision of the initial diagnosis and planned treatment.

Background

Point-of-care cardiovascular left ventricle ejection fraction (LVEF) quantification is established, but automatic tablet-based stroke volume (SV) quantification with handheld ultrasound (HAND) devices is unexplored. We evaluated a tablet-based monoplane LVEF and LV volume quantification tool (AutoEF) against a computer-based tool (Tomtec) for LVEF and SV quantification.

Methods

Patients underwent HAND scans, and LVEF and SV were quantified using AutoEF and computer-based software that utilized either apical four-chamber views (Auto Strain-monoplane [AS-mono]) or both apical four-chamber and apical two-chamber views (Auto Strain-biplane [AS-bi]). Correlation and Bland–Altman analysis were used to compare AutoEF with AS-mono and AS-bi.

Results

Out of 43 participants, eight were excluded. AutoEF showed a correlation of .83 [.69:.91] with AS-mono for LVEF and .68 [.44:.82] for SV. The correlation with AS-bi was .79 [.62:.89] for LVEF and .66 [.42:.81] for SV. The bias between AutoEF and AS-mono was 4.88% [3.15:6.61] for LVEF and 17.46 mL [12.99:21.92] for SV. The limits of agreement (LOA) were [−5.50:15.26]% for LVEF and [−8.02:42.94] mL for SV. The bias between AutoEF and AS-bi was 6.63% [5.31:7.94] for LVEF and 20.62 mL [16.18:25.05] for SV, with LOA of [−1.20:14.47]% for LVEF and [−4.71:45.94] mL for SV.

Conclusion

LVEF quantification with AutoEF software was accurate and reliable, but SV quantification showed limitations, indicating non-interchangeability with neither AS-mono nor AS-bi. Further refinement of AutoEF is needed for reliable SV quantification at the point of care.

Purpose

We sought to assess the feasibility, reproducibility, and accuracy of conventional and newer echocardiographic measures of right ventricular (RV) systolic function in adolescent and young adult childhood cancer survivors treated with anthracyclines.

Methods

Echocardiography and cardiac magnetic resonance imaging (CMR) were acquired ≤60 days apart in prospectively recruited survivors and RV functional measures were quantitated by blinded observers. Repeat quantitation was performed in a subset to evaluate reproducibility. For each echocardiographic measure, Spearman correlations with CMR measures were calculated, and values in participants with CMR RV ejection fraction (RVEF) ≥48% and RVEF <48% were compared using two sample Wilcoxon rank-sum tests.

Results

Among 58 participants, mean age was 18.2 years (range 13.1–25.2) and five participants had CMR RVEF <48%. Intra- and inter-observer coefficients of variation were 8.2%–10.1% and 10.5%–12.0% for adjusted automated strain measures, and 5.2%–8.7% and 2.7% for 3D RVEF, respectively. No echocardiographic measures were significantly correlated with CMR RVEF; only tricuspid annular plane systolic excursion was correlated with CMR RV stroke volume (r = .392, p = .003). Participants with RV dysfunction had worse automated global longitudinal strain (−20.3% vs. −23.9%, p = .007) and free wall longitudinal strain (−23.7% vs. −26.7%, p = .09).

Conclusions

Echocardiographic strain and 3D RV function measurements were feasible and reproducible in at-risk childhood cancer survivors. Although not associated with CMR RVEF in this population with predominantly normal RV function, automated strain measurements were more abnormal in participants with RV dysfunction, suggesting potential clinical utility of these measures.

Objective

Exploring the performance of ultrasound-based radiomics in forecasting major adverse cardiovascular events (MACE) within 1 year following percutaneous coronary intervention (PCI) of acute coronary syndrome (ACS) patients.

Methods

In this research, 161 ACS patients who underwent PCI were included (114 patients were randomly assigned to the training set and 47 patients to the validation set). Every patient received echocardiography 3–7 days after PCI and followed up for 1 year. The radiomics features related to MACE occurrence were extracted and selected to formulate the RAD score. Building ultrasound personalized model by incorporating RAD score, LVEF, LVGLS, and NT-ProBNP. The model's capacity to predict was tested using ROC curves.

Results

Multifactorial logistic regression analysis of RAD score with clinical data and echocardiographic parameters indicated RAD score and LVGLS as independent risk factors for the occurrence of MACE. The RAD score predicted MACE, with AUC values of 0.85 and 0.86 in the training and validation sets. The ultrasound personalized model had a superior ability to predict the occurrence of MACE, with AUC values of 0.88 and 0.92, which were higher than those of the clinical model (with AUC of 0.72 and 0.80) without RAD score (Z = 3.711, 2.043, P < .001, P = .041). Furthermore, DCA indicated that the ultrasound personalization model presented a more favorable net clinical benefit.

Conclusions

Ultrasound radiomics can be a reliable tool to predict the incidence of MACE after PCI in patients with ACS and provides quantifiable data for personalized clinical treatment.

Purpose

Cardiogenic shock still has a high mortality. In order to correctly manage these patients, it is useful to have available haemodynamic parameters, invasive and non-invasive. The aim of this review is to show the current evidence on the use of echocardiographic aortic flow assessment by left ventricular outflow tract - velocity time integral.

Methods

Publications relevant to the discussion of echocardiographic aortic flow assessment by left ventricular outflow tract - velocity time integral and cardiogenic shock, were retrieved from PubMed®.

Results

Left ventricular outflow tract - velocity time integral is an easily sampled and reproducible parameter that has already been shown to have prognostic value in various cardiovascular pathologies, including myocardial infarction and heart failure. Although there are still few data available in the literature, the LVOT-VTI also seems to have an important role in CS from prognosis to guidance in the escalation/de-escalation of vasoactive therapy and to support devices by allowing an estimate of patient’s probability of response to fluid administration.

Conclusion

Aortic flow assessment can become a very useful invasive parameter in the management of cardiogenic shock.