Interobserver Variation in Echocardiographic Measurements and Grading of Tricuspid Regurgitation Based on a Novel Web-Based Assessment Environment.

OBJECTIVES: The primary aim of this study was to assess interobserver variability in grading tricuspid regurgitation (TR) severity. The authors' secondary goals were to delineate which transesophageal echocardiographic (TEE) parameters best correlate with severity and how consistent the participants were at grading severity. DESIGN: This was a prospective cohort study of how clinicians evaluated previously acquired TEE images and videos. SETTING: The 19 TEE studies of patients with TR were recorded by 4 senior echocardiographers across 4 US academic institutions. The participants evaluated these cases on a novel, web-based, assessment environment designed specifically for this study. PARTICIPANTS: Twenty-nine fellowship-trained and board-certified cardiologists and cardiothoracic anesthesiologists volunteered to participate in the study as observers from 19 different institutions. INTERVENTIONS: No interventions were performed on the participants. MEASUREMENTS AND MAIN RESULTS: For each case, participants measured the vena contracta (VC), proximal isovelocity surface area (PISA), and jet area before giving a final classification on the severity of TR. Variation was highest for effective regurgitant orifice area and lowest for VC and PISA. The coefficient of variation, defined as the standard deviation from the mean divided by the mean, for all cases of trace, mild, moderate and severe TR were as follows: Jet Area-111%, 46%, 48%, 76%; VC-67%, 44%, 43%, 36%; PISA-52%, 48%, 31%, 35%; and effective regurgitant orifice area-127%, 95%, 66%, 58%. CONCLUSIONS: The interobserver variation in quantifying TEE parameters for TR is high, suggesting these may be difficult to measure reliably in a busy perioperative setting. Of the parameters assessed, VC and PISA radius had the highest interobserver agreement and the highest correlation with severity.

Automated Spectral Doppler Profile Tracing.

OBJECTIVE: The authors hypothesized that automated tracings of both pulsed wave (PW) and continuous wave (CW) Doppler correlate well with manual measurements performed by an experienced echocardiographer. DESIGN: The authors performed a retrospective analysis of spectral Doppler profile measurements performed by automated software and an echocardiographer. SETTING: University hospital, single institution. PARTICIPANTS: The authors reviewed transesophageal echocardiographic examinations from patients undergoing transcatheter aortic valve (AV) replacement procedures at their institution. INTERVENTIONS: No interventions were performed solely for research purposes. MEASUREMENTS AND MAIN RESULTS: PW and CW spectral envelopes at the left ventricular outflow tract (LVOT) and AV were analyzed. Blinded, a board-certified echocardiographer performed manual measurements of the identical spectral envelopes. Peak velocities, mean gradients, and velocity time integrals (VTI) were collected. A total of 33 PW as well as 33 CW Doppler spectral envelopes were evaluated. There was no significant difference between the measurements provided by the automated software and manual tracings. LVOT PW VTI automated versus manual: 18.2 cm versus 15.9 cm, p = 0.11. AV CW VTI automated versus manual: 65.8 cm versus 64.8 cm, p = 0.90. AV CW mean gradient automated versus manual: 24.3 mmHg versus 23.4 mmHg, p = 0.84. AV CW peak velocity automated versus manual: 3.00 m/s versus 2.98 m/s, p = 0.93. Correlation coefficients were all above 0.9. CONCLUSIONS: Automated measurements of peak velocities, mean gradients, and VTI of spectral Doppler correlate closely with manual measurements performed by an experienced echocardiographer.

Artificial Intelligence for the Measurement of the Aortic Valve Annulus.

OBJECTIVE: The authors aim to evaluate an automated echocardiography software as compared with computed tomography in measurement of the aortic valve annulus in patients with aortic stenosis. The authors hypothesize that aortic annular measurements by this software and computed tomography will show acceptable correlation. DESIGN: This study is an Institutional Review Board-approved, retrospective data collection of patients with aortic stenosis who underwent implantation of a transcatheter heart valve with intraprocedural transesophageal echocardiography, multidetector computed tomography, and use of the Siemens eSie Valves automated aortic valve software. SETTING: Intraprocedural in a single hospital institution. PARTICIPANTS: The participants are 47 patients who underwent implantation of an Edwards SAPIEN 3 transcatheter heart valve. INTERVENTIONS: The authors compared aortic valve annulus measurements by two-dimensional transesophageal echocardiography, computed tomography, and the automated software. MEASUREMENTS AND MAIN RESULTS: Aortic annulus measurements by the software correlated more closely to the computed tomography measurements than two-dimensional measurements. Bland-Altman analysis showed qualitative comparability of measurements performed by the automated software to computed tomography (95% limits of agreement between -4.62 mm and 1.26 mm for area-derived and -4.51 mm and 1.45 mm for perimeter-derived methods). Similarly, there was significant linear correlation with automated software use (r = 0.84, p < 0.0001 and r = 0.85, p < 0.0001). CONCLUSIONS: Periprocedural aortic valve measurement by automated echocardiographic software correlates with computed tomography in patients with severe aortic stenosis. This technology is helpful and accurate, but has limitations.