Rhodri Davies
A5066064530- Cardiac Imaging and Diagnostics
- Cardiovascular Function and Risk Factors
- Cardiomyopathy and Myosin Studies
- Advanced MRI Techniques and Applications
- Cardiac Valve Diseases and Treatments
- Image Retrieval and Classification Techniques
- Medical Image Segmentation Techniques
- COVID-19 Clinical Research Studies
- Image Processing and 3D Reconstruction
- Advanced X-ray and CT Imaging
- Morphological variations and asymmetry
- Radiomics and Machine Learning in Medical Imaging
- Cardiovascular Disease and Adiposity
- 3D Shape Modeling and Analysis
- Cardiovascular Effects of Exercise
- Coronary Interventions and Diagnostics
- SARS-CoV-2 and COVID-19 Research
- Artificial Intelligence in Healthcare and Education
- Otolaryngology and Infectious Diseases
- Medical Imaging Techniques and Applications
- Infectious Diseases and Tuberculosis
- Long-Term Effects of COVID-19
- Medical Imaging and Analysis
- Aortic Disease and Treatment Approaches
- Thermal Regulation in Medicine
University College London
1970-2025
British Heart Foundation
2019-2025
St Bartholomew's Hospital
2020-2025
Barts Health NHS Trust
2018-2025
MRC Unit for Lifelong Health and Ageing
2022-2024
Medical Research Council
2023-2024
University Hospital of Wales
2019-2024
Transnational Press London
2023
King's College Hospital
2022
National Heart Lung and Blood Institute
2021
We describe a method for automatically building statistical shape models from training set of example boundaries/surfaces. These show considerable promise as basis segmenting and interpreting images. One the drawbacks approach is, however, need to establish dense correspondences between all members shapes. Often this is achieved by locating "landmarks" manually on each image, which time consuming subjective in two dimensions almost impossible three dimensions. how can be built posing...
Abstract Individuals with potential exposure to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) do not necessarily develop PCR or antibody positivity, suggesting that some individuals may clear subclinical infection before seroconversion. T cells can contribute the rapid clearance of SARS-CoV-2 and other infections 1–3 . Here we hypothesize pre-existing memory cell responses, cross-protective against (refs. 4–11 ), would expand in vivo support viral control, aborting infection....
A boost from infection During clinical trials of severe acute respiratory syndrome coronavirus 2 vaccines, no one who had survived with the virus was tested. year after pandemic declared, vaccination previously infected persons is a reality. Reynolds et al. address knowledge gap in cohort UK health care workers given Pfizer/BioNTech vaccine which half participants experienced natural infections early (see Perspective by Crotty). Genotyping indicated that genetic component underlies...
The Omicron, or Pango lineage B.1.1.529, variant of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) carries multiple spike mutations with high transmissibility and partial neutralizing antibody (nAb) escape. Vaccinated individuals show protection against disease, often attributed to primed cellular immunity. We investigated T B cell immunity B.1.1.529 in triple BioNTech BNT162b2 messenger RNA-vaccinated health care workers (HCWs) different SARS-CoV-2 infection histories....
Background: Myocardial perfusion reflects the macro- and microvascular coronary circulation. Recent quantitation developments using cardiovascular magnetic resonance (CMR) permit automated measurement clinically. We explored prognostic significance of stress myocardial blood flow (MBF) reserve (MPR, ratio to rest MBF). Methods: A two center study patients with both suspected known artery disease referred clinically for assessment. Image analysis was performed automatically a novel artificial...
The purpose of this study was to detect cardiovascular changes after mild severe acute respiratory syndrome-coronavirus-2 infection.
Acute myocardial injury in hospitalized patients with coronavirus disease 2019 (COVID-19) has a poor prognosis. Its associations and pathogenesis are unclear. Our aim was to assess the presence, nature, extent of damage troponin elevation.Across 25 hospitals United Kingdom, 342 COVID-19 an elevated level (COVID+/troponin+) were enrolled between June 2020 March 2021 had magnetic resonance imaging scan within 28 days discharge. Two prospective control groups recruited, comprising 64 normal...
Background: Automated analysis of cardiac structure and function using machine learning (ML) has great potential, but is currently hindered by poor generalizability. Comparison traditionally against clinicians as a reference, ignoring inherent human inter- intraobserver error, ensuring that ML cannot demonstrate superiority. Measuring precision (scan:rescan reproducibility) addresses this. We compared humans multicenter, multi-disease, scan:rescan cardiovascular magnetic resonance data set....
Left ventricular maximum wall thickness (MWT) is central to diagnosis and risk stratification of hypertrophic cardiomyopathy, but human measurement prone variability. We developed an automated machine learning algorithm for MWT compared precision (reproducibility) with that 11 international experts, using a dataset patients cardiomyopathy.60 adult including those carrying cardiomyopathy gene mutations, were recruited at three institutes in the UK from August, 2018, September, 2019: Barts...
BackgroundWe hypothesised that host-response biomarkers of viral infections might contribute to early identification individuals infected with SARS-CoV-2, which is critical breaking the chains transmission. We aimed evaluate diagnostic accuracy existing candidate whole-blood transcriptomic signatures for infection predict positivity nasopharyngeal SARS-CoV-2 PCR testing.MethodsWe did a nested case-control study among prospective cohort health-care workers (aged ≥18 years) at St Bartholomew's...
Measurement of cardiac structure and function from images (e.g. volumes, mass derived parameters such as left ventricular (LV) ejection fraction [LVEF]) guides care for millions. This is best assessed using cardiovascular magnetic resonance (CMR), but image analysis currently performed by individual clinicians, which introduces error. We sought to develop a machine learning algorithm volumetric CMR with demonstrably better precision than human analysis. A fully automated was trained on 1923...
In hypertrophic cardiomyopathy (HCM), myocyte disarray and microvascular disease (MVD) have been implicated in adverse events, recent evidence suggests that these may occur early. As novel therapy provides promise for modification, detection of phenotype development is an emerging priority. To evaluate their utility as early disease-specific biomarkers, we measured myocardial microstructure MVD 3 HCM groups-overt, either genotype-positive (G+LVH+) or genotype-negative (G-LVH+), subclinical...
Statistical shape models are powerful tools for image interpretation and analysis. A simple, yet effective, way of building such is to capture the statistics sampled point coordinates over a training set example shapes. However, major drawback this approach need establish correspondence across set. In 2-D, often defined using manually placed 'landmarks' linear interpolation sample in between. Such annotation is, however, time-consuming subjective, particularly when extended 3-D. paper, we...
Background: Convolutional neural network (CNN) based segmentation methods provide an efficient and automated way for clinicians to assess the structure function of heart in cardiac MR images. While CNNs can generally perform tasks with high accuracy when training test images come from same domain (e.g., scanner or site), their performance often degrades dramatically on different scanners clinical sites. Methods: We propose a simple yet effective improving generalization ability by carefully...
Early detection and diagnosis of coronary artery disease could reduce the risk developing a heart attack. The arteries are optimally visualised using computed tomography angiography (CTCA) imaging. These images reviewed by specialist radiologists who evaluate for potential narrowing. A lack in UK is constraint to timely disease, particularly acute accident emergency department setting. development automated methods which narrowing can be identified rapidly accurately therefore timely. Such...
Background: Apical hypertrophic cardiomyopathy (ApHCM) accounts for ≈10% of cases and is characterized by apical hypertrophy, cavity obliteration, tall ECG R waves with ischemic-looking deep T-wave inversion. These may be present even <15 mm hypertrophy (relative ApHCM). Microvascular dysfunction well described in cardiomyopathy. We hypothesized that perfusion defects would common ApHCM. Methods: A 2-center study using cardiovascular magnetic resonance short- long-axis quantitative...
Ventricular arrhythmia in hypertrophic cardiomyopathy (HCM) relates to adverse structural change and genetic status. Cardiovascular magnetic resonance (CMR)–guided electrocardiographic imaging (ECGI) noninvasively maps cardiac electrophysiological (EP) properties. The purpose of this study was establish whether subclinical HCM (genotype [G]+ left ventricular hypertrophy [LVH]−), ECGI detects early EP abnormality, overt HCM, the substrate status (G+/G−LVH+) phenotype. This a prospective...