Various imaging methods assist in diagnosing periprosthetic joint infection (PJI). These include radiological techniques such as radiography, computed tomography (CT), magnetic resonance imaging (MRI), and ultrasound (US); as well as advanced nuclear medicine techniques including bone scintigraphy (BS), anti-granulocyte antibody imaging (AGS), leukocyte scintigraphy (LS), and fluorodeoxyglucose positron emission tomography (FDG-PET and FDG-PET/CT). Each imaging technique and radiopharmaceutical has been extensively studied, with unique diagnostic accuracy, limitations, and benefits for PJI diagnosis.
View Article and Find Full Text PDFHypertensive heart disease and hypertrophic cardiomyopathy both lead to left ventricular hypertrophy despite differing in aetiology. Elucidating the correct aetiology of the presenting hypertrophy can be a challenge for clinicians, especially in patients with overlapping risk factors. Furthermore, drugs typically used to combat hypertensive heart disease may be contraindicated for the treatment of hypertrophic cardiomyopathy, making the correct diagnosis imperative.
View Article and Find Full Text PDFBackground: Co-location and integration of services within a psychologically-informed environment is recommended for people experiencing homeless but there are few examples of this in the UK. Such a centre opened in Scotland in November 2021.
Aim: To evaluate progress of the new centre.
Background: The Advanced Cardiac Therapies Improving Outcomes Network (ACTION) began in 2018 as a collaborative learning health system committed to improving outcomes in pediatric heart failure, including children and adults with congenital heart disease, supported with ventricular assist devices (VADs). This report describes patient and device characteristics, and outcomes through 1-year post-implant.
Methods: The ACTION VAD registry report was created from data submitted to the ACTION learning network from April 2018 to June 2023.
The development of optical sensors for label-free quantification of cell parameters has numerous uses in the biomedical arena. However, using current optical probes requires the laborious collection of sufficiently large datasets that can be used to calibrate optical probe signals to true metabolite concentrations. Further, most practitioners find it difficult to confidently adapt black box chemometric models that are difficult to troubleshoot in high-stakes applications such as biopharmaceutical manufacturing.
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