Unlabelled: The use of a so-called gestalt interpretation, an integration of different sets of criteria and the physician's own experience, has been advocated in the interpretation of lung scintigraphs of patients with clinically suspected pulmonary embolism. However, data on the reliability of this approach are limited. The aim of this study was to investigate the observer variability and accuracy of the gestalt interpretation of perfusion scintigraphy (combined with chest radiography) as well as the impact of adding ventilation scintigraphy and clinical pretest information.
Methods: Three experienced observers independently reviewed the chest radiograph and ventilation-perfusion scans of 101 consecutive patients with clinically suspected pulmonary embolism. All datasets were reviewed twice by each observer, using a visual analog scale to indicate the estimated probability of pulmonary embolism. The results of the gestalt interpretations were analyzed against the presence or absence of pulmonary embolism.
Results: All 3 gestalt interpretations had a good-to-excellent interobserver variability (intraclass correlation coefficient [ICC], 0.73-0.89), with similar intraobserver agreement (ICC, 0.76-0.95). The performance of all 3 readers was comparable. The areas under the curve (AUCs) of all 3 observers were high and similar (for observer 1, the AUCs were 0.96 [95% confidence interval (CI)], 0.93-1.00), 0.96 (95% CI, 0.93-1.00), and 0.95 (95% CI, 0.90-1.00), respectively, for the 3 gestalt interpretations).
Conclusion: A gestalt interpretation is a useful classification scheme with good-to-excellent intra- and interobserver variability. However, the interpretation and the consequences of this result are dependent on the observer. Unexpectedly, the addition of information on ventilation scintigraphy and clinical information did not affect the overall assessment.
Download full-text PDF |
Source |
---|
J Med Internet Res
November 2024
Dyson School of Design Engineering, Imperial College London, London, United Kingdom.
Background: With the extensive volume of information from various and diverse data sources, it is essential to present information in a way that allows for quick understanding and interpretation. This is particularly crucial in health care, where timely insights into a patient's condition can be lifesaving. Holistic visualizations that integrate multiple data variables into a single visual representation can enhance rapid situational awareness and support informed decision-making.
View Article and Find Full Text PDFSci Rep
November 2024
Technische Hochschule Ingolstadt, Ingolstadt, Germany.
The count of mitotic figures (MFs) observed in hematoxylin and eosin (H&E)-stained slides is an important prognostic marker, as it is a measure for tumor cell proliferation. However, the identification of MFs has a known low inter-rater agreement. In a computer-aided setting, deep learning algorithms can help to mitigate this, but they require large amounts of annotated data for training and validation.
View Article and Find Full Text PDFWork
October 2024
Department of Architectural Engineering, College of Engineering, Dhofar University, Salalah, Oman.
Background: Burnout is an increasingly common problem in modern work settings that significantly affects people's health and well-being. Several studies have emphasized the impact of career burnout on employees' performance and efficiency. It is unknown whether career burnout mediated by personal burnout may affect employees' perception of their workplace physical environment attributes.
View Article and Find Full Text PDFPrehosp Emerg Care
September 2024
Department of Emergency Medicine, University of Minnesota Medical School, Minneapolis, Minnesota.
Objectives: Data suggest patients suffering acute coronary occlusion myocardial infarction (OMI) benefit from prompt primary percutaneous intervention (PPCI). Many emergency medical services (EMS) activate catheterization labs to reduce time to PPCI, but suffer a high burden of inappropriate activations. Artificial intelligence (AI) algorithms show promise to improve electrocardiogram (ECG) interpretation.
View Article and Find Full Text PDFFront Sociol
July 2024
University of Konstanz, Konstanz, Germany.
The text reconstructs the concepts of practice and practicality used in ethnomethodology and conversation analysis and examines their internal similarities and differences as well as similarities and differences to other practice theories. After a description of the characteristics of practice theories, the ethnomethodological perspective on practice and practicality is presented. Then, the use of the terms in conversation analysis is examined.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!