Introduction: The chest X-ray (CXR) is the most frequently performed radiographic examination. This study evaluates radiographers' ability to localise traumatic CXR pathology and provide a preliminary clinical evaluation (PCE) for these cases.
Methods: This observer study was performed in a district general hospital in the United Kingdom (UK). A 58-case image bank was used with 20 positive cases. Participants were awarded a maximum of three points, based on abnormality recognition and descriptive accuracy. Localisation data were recorded with ROCView. Training was delivered via short online recorded tutorials covering an introduction of a systematic search strategy for CXR, how to recognise the common abnormalities covered in the tests, how to structure a PCE and multiple practice cases to review at participants' own pace. Pre- and post-training data was recorded.
Results: Nine participants completed the study. Overall, pooled sensitivity remained consistent (78.9%-78.8%) following training, specificity and accuracy showed improvement of 79.0%-89.9% and 78.9%-86.0% respectively. An increase in the number of correct localisations and PCE scores were also evident. Participants performed better at correctly identifying a pneumothorax compared to skeletal abnormalities.
Conclusion: Improvements in performance were evident for most participants' abnormality localisations and PCE scores, following the training intervention. The study highlighted areas of CXR PCE that may require further training, such as detecting superimposed or subtle abnormalities.
Implications For Practice: This study provides additional support for the development of PCE systems in additional areas of imaging practice.
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http://dx.doi.org/10.1016/j.radi.2022.08.011 | DOI Listing |
J Med Syst
January 2025
Computer Science Institute, DISIT, University of Eastern Piedmont, Alessandria, Italy.
In traditional medical education, learners are mostly trained to diagnose and treat patients through supervised practice. Artificial Intelligence and simulation techniques can complement such an educational practice. In this paper, we present GLARE-Edu, an innovative system in which AI knowledge-based methodologies and simulation are exploited to train learners "how to act" on patients based on the evidence-based best practices provided by clinical practice guidelines.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Bonn-Aachen International Center for IT (b-it), Bonn, Germany.
Background: Alzheimer's Disease (AD) is associated with sleep disturbances. Moreover, individuals with sleep disturbances have been reported to have a higher risk for developing AD. The measurement of sleep behavior therefore opens the opportunity for a potential digital biomarker of AD.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Clinical Neurochemistry Laboratory Sahlgrenska University Hospital, Mölndal, Sweden.
Background: This research introduces a novel method for quantifying aggregated tau in body fluids, specifically cerebrospinal fluid (CSF), aiming to enhance the diagnosis and monitoring of neurodegenerative diseases, with a focus on Alzheimer's disease (AD).
Method: By combining tau protein amplification with a highly sensitive single-molecule array (Simoa) immunoassay using an anti-tau antibody CT19.1 in a homogenous manner, the approach enables precise measurements of tau aggregates in CSF.
Background: Alzheimer's disease (AD) impacts over 50 million individuals and imposes a substantial burden on patients, caregivers, and society at large. Recent research suggests that AD is a continuum comprising preclinical, prodromal, and dementia stages, with underlying pathology manifesting well before symptoms appear. Early and accurate diagnosis is therefore crucial for optimal clinical outcomes; yet current diagnostic methods, such as neuroimaging and cerebrospinal fluid lumbar puncture, are expensive and invasive.
View Article and Find Full Text PDFBackground: Recent advances in diagnostics have made it possible to identify early signs of the pathophysiological changes underlying Alzheimer's Disease (AD) via blood tests. However, the use of blood-based biomarkers (BBBMs) for the early detection of AD may be limited in primary care settings despite its potential for wide access and early detection of AD (PMID: 37295421) Therefore, there is a need to understand the barriers and facilitators of BBBM testing for AD in primary care.
Method: We employed a combination of qualitative research, advisory board, and quantitative survey to engage with clinical/scientific advisors and community-based physicians in primary care.
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