Feasibility of real-time 3D echocardiography in weightlessness during parabolic flight

Aim of the study was to test the feasibility of transthoracic real-time 3D (Philips) echocardiography (RT3D) during parabolic flight, to allow direct measurement of heart chambers volumes modifications during the parabola. One RT3D dataset corresponding to one cardiac cycle was acquired at each gravity phase (1 Gz, 1.8 Gz, 0 Gz, 1.8 Gz) during breath-hold in 8 unmedicated normal subjects (41 +/- 8 years old) in standing upright position. Preliminary results, obtained by semi-automatically tracing left ventricular (LV) and left atrial (LA) endocardial contours in multiple views (Tomtec), showed a significant (p<0.05) reduction, compared to 1 Gz, of LV and LA volumes with 1.8 Gz, and a significant increase with 0 Gz. Further analysis will focus on the right heart.

Roadmap to the Mechanisms of Aortic Regurgitation on Echocardiography

The purpose of this series was to improve assessment of the aortic valve by echocardiography and to encourage echocardiographers to assess the cause of aortic regurgitation. The study illustrates the use of the Carpentier classification system for classifying the causes of regurgitation with a case series. (Level of Difficulty: Intermediate.)

Added value of 3D echocardiography in the diagnosis and prognostication of patients with right ventricular dysfunction

Recent inroads into percutaneous-based options for the treatment of tricuspid valve disease has brought to light how little we know about the behavior of the right ventricle in both health and disease and how incomplete our assessment of right ventricular (RV) physiology and function is using current non-invasive technology, in particular echocardiography. The purpose of this review is to provide an overview of what three-dimensional echocardiography (3DE) can offer currently to enhance RV evaluation and what the future may hold if we continue to improve the 3D evaluation of the right heart.

Doppler Echocardiographic Phenotypes in Suspected 'Severe' Aortic Stenosis: Matrix-Based Approach to Diagnosis and Management

BACKGROUND

Among patients with suspected severe aortic stenosis (AS), Doppler echocardiographic (DE) data are often discordant, and further analysis is required for accurate diagnosis and optimal management. In this study, an automated matrix-based approach was applied to an echocardiographic database of patients with AS that identified 5 discrete echocardiographic data patterns, 1 concordant and 4 discordant, each reflecting a particular pathophysiology/measurement error that guides further workup and management.

METHODS

A primary/discovery cohort of consecutive echocardiographic studies with at least 1 DE parameter of severe AS and analogous data from an independent secondary/validation cohort were retrospectively analyzed. Parameter thresholds for inclusion were aortic valve area (AVA) <1.0 cm2, transaortic mean gradient (MG) ≥ 40 mmHg, and/or transaortic peak velocity (PV) ≥ 4.0 m/sec. Doppler velocity index (DVI) was also determined. Logic provided by an in-line SQL query embedded within the database was used to assign each patient to 1 of 5 discrete matrix patterns, each reflecting 1 or more specific pathophysiologies. Feasibility of automated pattern-driven triage of discordant cases was also evaluated.

RESULTS

In both cohorts, data from each patient fitted only 1 data pattern. Of the 4,643 primary cohort patients, 39% had concordant parameters for severe AS and DVI <0.30 (pattern 1); 35% had AVA < 1.0 cm2, MG < 40 mm Hg, PV < 4 m/sec, DVI < 0.30 (pattern 2); 9% had MG ≥ 40 mmHg and/or PV ≥ 4 m/sec, DVI > 0.30 (pattern 3); 10% had AVA < 1.0 cm2, MG < 40 mmHg, PV < 4 m/sec, DVI >0.30 (pattern 4); and 7% had MG > 40 mmHg and/or PV ≥ 4 m/sec, AVA > 1.0 cm2, DVI < 0.30 (pattern 5). Findings were validated among the 387 secondary cohort patients in whom pattern distribution was remarkably similar.

CONCLUSIONS

Matrix-based pattern recognition permits automated in-line identification of specific pathophysiology and/or measurement error among patients with suspected severe AS and discordant DE data.

Percutaneous Transapical Left Ventricular Access to Treat Paravalvular Leak and Ventricular Septal Defect

BACKGROUND

Surgical transapical (TA) access is an established technique for structural heart (SH) procedures, but is associated with considerable morbidity. Percutaneous TA puncture provides direct access for SH procedures and may overcome the disadvantages of surgical access. This study sought to evaluate the safety of percutaneous TA left ventricular access for SH interventions.

METHODS

We performed a retrospective analysis at a university hospital. Thirteen percutaneous TA procedures were performed on consecutive patients between January 2013 and July 2017 to provide LV access for transcatheter therapies. All procedures were performed under general anesthesia with three-dimensional transesophageal echocardiography guidance.

RESULTS

All TA punctures were successful. Delivery sheath sizes ranged from 5 Fr to 7 Fr. Eleven of the 13 TA sites were closed with a device. Total median procedural and fluoroscopy times were 106 minutes (interquartile range, 39-117 minutes) and 26.5 minutes (interquartile range, 8.3-43.8 minutes), respectively. The planned procedure was completed successfully in all cases. One access-site complication occurred, involving embolism of a duct occluder into the pleural space and extravasation from the apical puncture site. Hemostasis of the apex site was achieved immediately with placement of three vascular plugs from a femoral approach. Two patients died prior to discharge and neither death was related to a procedural complication. There were no significant pericardial effusions.

CONCLUSION

Percutaneous TA access can be achieved safely in most cases to provide access for transcatheter procedures with short procedure times. Device closure of the TA access site is reliable, with a low complication rate and no procedure-related mortality.

Milrinone versus dobutamine: contribution of altered myocardial mechanics and augmented inotropic state to improved left ventricular performance

Milrinone and dobutamine are positive inotropic agents with complex mechanisms of action. Traditional indexes of left ventricular function are unable to determine how much of the improvement in cardiac performance induced by these drugs is due to augmented inotropy and how much is the result of afterload reduction. Recently, the end-systolic wall stress (sigma es)-rate corrected velocity of fiber shortening (Vcfc) relationship has been shown to be a sensitive measure of contractility that is independent of preload while incorporating afterload. This index was measured in two groups of normal subjects (n = 8 per group) over a wide range of aortic pressures generated by administration of methoxamine before and during (1) milrinone or (2) dobutamine infusion. Studies were performed with the use of echocardiographic and calibrated carotid pulse tracings. Milrinone and dobutamine produced similar increases in overall left ventricular performance. Milrinone decrease end-systolic dimension (Des) by 15% and end-systolic pressure (Pes) by 22%, while increasing end-systolic wall thickness (hes) by 14%. This resulted in a 43% decline in left ventricular afterload as measured by sigma es. In contrast, dobutamine decreased Des by 11% while increasing hes by 14% and Pes by 22%. Despite the increase in left ventricular pressure, sigma es fell by 20%. Since afterload reduction alone results in increased left ventricular shortening, analysis of left ventricular performance was performed for both drugs at matched levels of sigma es under control and positive inotropic conditions. Twenty-nine percent of the improvement in Vcfc produced by milrinone was due to a decrease in afterload as compared with 18% of that produced by dobutamine.(ABSTRACT TRUNCATED AT 250 WORDS)

Muscle recession with a suture loop in rabbits

We recessed extraocular muscles in rabbits using loops of silk sutures. The effectiveness of the pseudotendons produced depended on their relation to the functional equator of the eye and on the length adherent to the sclera. Loops about 5 mm long inserted at or near the functional equator produced effective pseudotendons. If the loops were inserted in front of the functional equator they adhered to the sclera and the advantage of using them was negated.

Deep learning assisted measurement of echocardiographic left heart parameters: improvement in interobserver variability and workflow efficiency

Machine learning techniques designed to recognize views and perform measurements are increasingly used to address the need for automation of the interpretation of echocardiographic images. The current study was designed to determine whether a recently developed and validated deep learning (DL) algorithm for automated measurements of echocardiographic parameters of left heart chamber size and function can improve the reproducibility and shorten the analysis time, compared to the conventional methodology. The DL algorithm trained to identify standard views and provide automated measurements of 20 standard parameters, was applied to images obtained in 12 randomly selected echocardiographic studies. The resultant measurements were reviewed and revised as necessary by 10 independent expert readers. The same readers also performed conventional manual measurements, which were averaged and used as the reference standard for the DL-assisted approach with and without the manual revisions. Inter-reader variability was quantified using coefficients of variation, which together with analysis times, were compared between the conventional reads and the DL-assisted approach. The fully automated DL measurements showed good agreement with the reference technique: Bland-Altman biases 0-14% of the measured values. Manual revisions resulted in only minor improvement in accuracy: biases 0-11%. This DL-assisted approach resulted in a 43% decrease in analysis time and less inter-reader variability than the conventional methodology: 2-3 times smaller coefficients of variation. In conclusion, DL-assisted approach to analysis of echocardiographic images can provide accurate left heart measurements with the added benefits of improved reproducibility and time savings, compared to conventional methodology.

Why Do Cardiologists Fail to Follow the Surgical Guidelines for Severe Aortic Stenosis?

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P4347Automated echocardiographic quantification of left ventricular ejection fraction without volume measurements using a machine learning algorithm mimicking a human expert

Background

Echocardiographic quantification of left ventricular (LV) ejection fraction (EF) relies on either manual or automated identification of endocardial boundaries followed by standard calculation of model-based end-systolic and end-diastolic LV volumes. Recent developments in artificial intelligence resulted in computer algorithms that allow near automated detection of endocardial boundaries and measurement of LV volumes and function. However, boundary identification is still prone to errors limiting accuracy in certain patients. We hypothesized that a fully automated machine learning algorithm could be developed, which circumvents border detection and instead estimates the degree of ventricular contraction, similar to a human expert trained on tens of thousands of images.

Purpose

This study was designed to test the feasibility and accuracy of this approach.

Methods

Machine learning algorithm was developed and trained on a database of >50,000 echocardiographic studies, including multiple apical 2- and 4-chamber views, to automatically estimate LVEF (AutoEF, BayLabs). Testing was performed on an independent group of 99 unselected patients, whose automated EF values were compared to reference values obtained by averaging measurements by 3 experts using conventional volume-based technique. Inter-technique agreement was assessed using linear regression and Bland-Altman analysis of bias and limits of agreement (LOA). Consistency was assessed by mean absolute deviation (MAD) among automated estimates based on different combinations of apical views. Finally, sensitivity and specificity of detecting of EF≤35% was calculated. These metrics were compared side-by-side against the same reference standard to those obtained from conventional EF measurements by clinical readers.

Results

Automated estimation of LVEF was feasible in all 99 patients. AutoEF values showed high consistency (MAD=2.9%) and excellent agreement with the reference values: r=0.95, bias=1.0%, LOA=±11.8%, with sensitivity 0.90 and specificity 0.92 for detection of EF≤35%. This was similar to clinicians' measurements: r=0.94, bias=1.4%, LOA=±13.4%,sensitivity 0.93, specificity 0.87.

Conclusions

Machine learning algorithm for volume-independent LVEF estimation is highly feasible and similar in accuracy to conventional volume-based measurements, when compared to reference values provided by an expert panel.

Acknowledgement/Funding

Bay Labs, Inc.

Transcatheter Therapy for a Large Mobile Right Atrial Thrombus and Massive Pulmonary Embolism

A variety of interventional management approaches exist for the treatment of acute pulmonary embolism (PE). However, when PE is accompanied by residual right heart thrombus, the best therapeutic options are less clear. We describe a novel combined technique of percutaneous aspiration of unstable right atrial thrombus followed by ultrasound-directed thrombolysis of massive PE.

A Novel Approach for Semi Automated 3D Quantification of Mitral Regurgitant Volume Reflects a More Physiologic Approach to MR

BACKGROUND

Quantification of mitral regurgitation (MR) by echocardiography is an integral to assessing lesion severity, and entails integration of multiple Doppler-based parameters. These methods are primarily founded upon the principle of PISA (proximal isovelocity surface area), a 2D method known to employ several assumptions regarding MR jet characteristics. We analyzed the results of a semi-automated method of 3D-based RV estimation which accounts for jet behavior throughout the cardiac cycle, and compared it to conventional 2D PISA methods for MR.

METHODS

A total of 50 patients referred for transesophageal echocardiogram (TEE) for evaluation of primary (n= 25) and secondary MR (n=25) were included for analysis. 3D full volume color data sets were acquired, along with standard 2D methods for PISA calculation. 3D semi-automated MR flow quantification algorithm was applied offline to calculate 3D regurgitant volume (RVol), with simultaneous temporal curves generated from the 3D dataset. 3DRvol was compared to 2DRVol. 3D vena contracta area was also performed in all cases.

RESULTS

There was a modest correlation between 2DRVol and 3DRVol (r = 0.60). The semi-automated 3D approach resulted in significantly lower RV values compared to 2D PISA. Real-time and dynamic flow curve patterns were used for integral estimates of 3DRVol over the cardiac cycle, with a distinct bimodal pattern in functional MR, and brief and solitary peak in primary.

CONCLUSIONS

Using a semi-automated 3D software for quantification of mitral regurgitation allows for simultaneous calculation of 3D RVol with an automated generation of dynamic flow curves characteristic of the underlying MR mechanism. Our flow curve pattern results highlight well-known differences between MR flow dynamics in degenerative MR compared to functional MR.

Multiple Intracardiac Masses Involving 3 Chambers of the Heart

•A 42-year-old man presented with multiple cardiac masses. •Metastatic disease is far more prevalent than primary cardiac tumors. •Multimodality imaging aids in the diagnostic and management strategy. •Optimal treatment of large, chronic intracardiac thrombi needs to be refined.