Publications by authors named "Camelia Demetrescu"

Background: Valvular heart disease (VHD) represents a significant burden on healthcare systems worldwide, necessitating specialised care through multidisciplinary valve clinics. However, there is a lack of a standardised training and certification framework for clinical scientists and specialist physiologists (CSSPs) working within specialist valve clinics (SVCs). This study aimed to design, implement and validate a competency framework dedicated to training and certifying valve CSSPs to enhance patient outcomes and establish standardised care.

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Article Synopsis
  • * The Duke criteria, created in 1994, have evolved over the last 30 years to accommodate changes in the epidemiology of IE and advancements in imaging technology.
  • * The manuscript highlights the integration of cardiac computed tomography into current diagnostic guidelines and includes case studies demonstrating its effectiveness in treating suspected IE.
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Article Synopsis
  • The study focuses on developing and validating an open machine-learning method for calculating Global Longitudinal Strain (GLS), which is deemed more reliable than traditional measures like ejection fraction.
  • Using a neural network trained on over 6,800 echocardiogram images, researchers were able to accurately identify key cardiac landmarks and compute GLS values.
  • The open-source methodology demonstrated comparable accuracy to expert measurements and proprietary solutions, with data and resources available freely online for further research.
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Background: Work-related musculoskeletal pain (WRMSP) is increasingly recognised in cardiac ultrasound practice. WRMSP can impact workforce health, productivity and sustainability. We sought to investigate the prevalence, characteristics and clinical impact of WRMSP.

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Doppler echocardiography is a widely utilised non-invasive imaging modality for assessing the functionality of heart valves, including the mitral valve. Manual assessments of Doppler traces by clinicians introduce variability, prompting the need for automated solutions. This study introduces an innovative deep learning model for automated detection of peak velocity measurements from mitral inflow Doppler images, independent from Electrocardiogram information.

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Transthoracic echocardiography (TTE) is one of the most requested non-invasive cardiac imaging diagnostic modalities available in the National Health Service (NHS). There is persistently high demand, but nationally, activity has lagged, producing increasing numbers of breaches of the 6-week waiting time target. This delays patients' diagnosis and treatment.

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Structural valvular interventions have skyrocketed in the past decade with new devices becoming available and indications for patients who would previously have been deemed inoperable. Furthermore, while echocardiography is the main imaging tool and the first line for patient screening, cardiac magnetic resonance and CT are now essential tools in pre-planning and post-procedural follow-up. This review aims to address imaging modalities and their scope in aortic, mitral and tricuspid structural valvular interventions, including multimodality imaging.

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Purpose: Papillary muscle fibrosis may act as an arrhythmogenic substrate in patients with mitral valve prolapse (MVP). Previous studies used conventional bright-blood late gadolinium enhancement cardiovascular magnetic resonance (LGE CMR) imaging to assess papillary muscle fibrosis, although this technique suffers from poor scar-to-blood contrast which may limit its sensitivity, in contrast to dark-blood LGE. This study sought to compare bright-blood and dark-blood LGE for the detection of papillary muscle fibrosis in patients with MVP.

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Background: requires training and validation to standards expected of humans. We developed an online platform and established the Unity Collaborative to build a dataset of expertise from 17 hospitals for training, validation, and standardization of such techniques.

Methods: The training dataset consisted of 2056 individual frames drawn at random from 1265 parasternal long-axis video-loops of patients undergoing clinical echocardiography in 2015 to 2016.

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Multimodality imaging is of imperative value for the planning and guidance of transcatheter mitral valve interventions. This review employs the value of different imaging modalities and future implications for clinical practice.

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Aims: Guidelines recommend specialist valve clinics as best practice for the assessment and conservative management of patients with heart valve disease. However, there is little guidance on how to set up and organise a clinic. The aim of this study is to describe a clinic run by a multidisciplinary team consisting of cardiologists, physiologist/scientists and a nurse.

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Unlabelled: We present the case of a previously fit 84-year-old female with long-standing systemic hypertension and the echo phenotype of hypertrophic cardiomyopathy (HCM) - asymmetrical septal hypertrophy, significant resting left ventricular (LV) outflow obstruction and mitral regurgitation (MR) secondary to systolic anterior motion (SAM) of the mitral valve. Valsalva provocation caused an increase in LVOT dynamic gradient and MR severity. The patient presented with a progressive decrease in exercise capacity along with chest pain relieved by rest or sublingual GTN.

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Objective: We hypothesised that abnormal global longitudinal strain (GLS) would predict outcome in hypertrophic cardiomyopathy (HCM) better than current echocardiographic measures.

Methods: Retrospective analysis of risk markers in relation to outcomes in 472 patients with HCM at a single tertiary institution (2006-2012). Exclusion criteria were left ventricular (LV) hypertrophy of other origin, patients in atrial fibrillation, lost to follow-up and insufficient image quality to perform strain analysis.

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Objectives: We compared the frequency of a binary endocardial appearance in patients with hypertrophic cardiomyopathy (HCM) and Anderson-Fabry disease (AFD).

Background: A recent study suggested that a binary endocardial appearance is a highly sensitive and specific discriminator of AFD from other causes of hypertrophic cardiomyopathy (HCM).

Methods: Fourteen patients with AFD (55.

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