The advancement of echocardiography in the past two decades is more than downsizing of the machines and improvement of image quality, but introduction of new imaging modalities leading to the ability of performing quantitative analysis. This function is greatly facilitated by the integration of echo machines with high performance computers, software programming and establishment of workstation for offline analysis. Today, echo examination is more than estimation of ejection fraction (EF) and patterns of left ventricular (LV) diastolic dysfunction. Echosonographers are facing a large number of quantitative parameters for interpretation. In newer imaging modalities such as tissue Doppler imaging, speckle tracking, 3-dimensional echocardiography and 3D-transoesophageal echocardiography, quantitative echocardiographic assessment has important roles. These have brought many opportunities but also challenges in our echo practice.
Search Results
Challenges and opportunity in the era of quantitative echocardiography
Cheuk-Man Yu
An overlooked case of pacemaker-related heart failure
Hitesh C Patel and Justin A Mariani
This case describes an iatrogenic cause of heart failure: the pacemaker syndrome. The diagnosis was initially overlooked but in retrospect could have easily been made by reviewing the rhythm strip recorded during the echocardiogram. The patient eventually received the correct treatment to restore atrioventricular synchrony and experienced rapid resolution to her disabling symptoms.
Learning points:
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New-onset heart failure following a pacemaker implant should be evaluated with an echocardiogram.
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Alongside pacing-induced left ventricular systolic dysfunction and pacing wire-related cardiac valve disruption, pacemaker syndrome should be considered.
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Interpreting a good-quality (showing both P waves and QRS complexes) rhythm strip can greatly aid in the diagnosis of pacemaker syndrome.
The Echocardiography Quality Framework: a comprehensive, patient-centered approach to quality assurance and continuous service improvement
Navroz Masani
The Echocardiography Quality Framework (EQF) is a unique, comprehensive, holistic approach to improving all aspects of an echocardiography service. The EQF is a patient-centered program, combining Quality Assurance and Continuous Service Improvement. The framework encompasses measures of (i) the quality of echocardiography, (ii) reproducibility and consistency, (iii) education and training, and (iv) customer feedback. The EQF is scalable and adaptable to benefit any echocardiography service. A catalogue or library of supporting documents is being developed by the British Society of Echocardiography (BSE), to be made available to any participating department. A mechanism and online infrastructure for (optional) national registration or assessment is being developed, to be used as a standalone adjunct or linked to BSE Departmental Accreditation. The principles that underpin the EQF may be applied to other imaging disciplines and, ultimately, other medical or surgical specialties.
Evaluation of the quality of transesophageal echocardiography images and verification of proficiency
Robina Matyal, Faraz Mahmood, Ziyad Omar Knio, Stephanie B Jones, Lu Yeh, Rabia Amir, Ruma Bose, and John D Mitchell
Various metrics have been used in curriculum-based transesophageal echocardiography (TEE) training programs to evaluate acquisition of proficiency. However, the quality of task completion, that is the final image quality, was subjectively evaluated in these studies. Ideally, the endpoint metric should be an objective comparison of the trainee-acquired image with a reference ideal image. Therefore, we developed a simulator-based methodology of preclinical verification of proficiency (VOP) in trainees by tracking objective evaluation of the final acquired images. We utilized geometric data from the simulator probes to compare image acquisition of anesthesia residents who participated in our structured longitudinal simulator-based TEE educational program vs ideal image planes determined from a panel of experts. Thirty-three participants completed the study (15 experts, 7 postgraduate year (PGY)-1 and 11 PGY-4). The results of our study demonstrated a significant difference in image capture success rates between learners and experts (χ 2 = 14.716, df = 2, P < 0.001) with the difference between learners (PGY-1 and PGY-4) not being statistically significant (χ 2 = 0, df = 1, P = 1.000). Therefore, our results suggest that novices (i.e. PGY-1 residents) are capable of attaining a level of proficiency comparable to those with modest training (i.e. PGY-4 residents) after completion of a simulation-based training curriculum. However, professionals with years of clinical training (i.e. attending physicians) exhibit a superior mastery of such skills. It is hence feasible to develop a simulator-based VOP program in performance of TEE for junior anesthesia residents.