Purpose: To determine the nature and relative frequency of operator-dependent data analysis errors in dual x-ray absorptiometry.
Materials And Methods: Over 40 months, 2,528 dual x-ray absorptiometric examinations of the forearm, femoral neck, and lumbar spine were performed by 11 technologists by using standard techniques and software. Each analysis was reviewed by a radiologist; errors were recorded and corrected.
Results: There were no forearm analysis errors. There were 24 (0.9%) femoral neck analysis errors, of which 23 resulted from misplacement of the analysis region. There were 33 (1.3%) spinal analysis errors, of which 24 resulted from misplacement of intervertebral disk space markers. Analysis errors of the femur and spine resulted in six misdiagnoses (0.2%).
Conclusion: Misdiagnosis due to analysis errors is rare. Femoral neck analysis errors were easily detectable, but accurate spinal analyses depended on accurate identification of vertebral end plates and posterior elements. Nonetheless, these potentially serious errors can be detected and corrected if the analyses are reviewed and interpreted by a supervising physician who is familiar with the relevant anatomy, proper analysis techniques, and factors--such as artifacts--that adversely affect the accuracy of the analysis.
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Data Brief
February 2025
Department of Horticulture, College of Agriculture and Environmental Sciences, Debre Markos University. Po Box: 269, Ethiopia.
Carrot ( L.) is one of the most important root crops grown worldwide and in Ethiopia. However, its production and productivity are low due to a lack of improved varieties and unbalanced fertilizer rates, among other factors.
View Article and Find Full Text PDFFront Neurosci
January 2025
Department of Technical Physics, University of Eastern Finland, Kuopio, Finland.
Motor evoked potentials (MEPs) are an important measure in transcranial magnetic stimulation (TMS) when assessing neuronal excitability in clinical diagnostics related to motor function, as well as in neuroscience research. However, manual feature extraction from large datasets can be time-consuming and prone to human error, and valuable features, such as MEP polyphasia and duration, are often neglected. Several packages have been developed to simplify the process; however, they are often tailored to specific studies or are not accessible.
View Article and Find Full Text PDFMethodsX
June 2025
Symbiosis Institute of Technology, Pune Campus, Symbiosis International (Deemed University), Pune, Maharashtra, India.
Integrated Circuits are made of various transistors that are embedded on a silicon wafer, these wafers are difficult to process and hence are prone to defects. Defecting these defects manually is a time consuming and labour-intensive task and hence automation is necessary. Deep Learning approach is better suited in this case as it is able to generalize defects if trained properly and can be a solution to segmentation and classification of defects automatically.
View Article and Find Full Text PDFFront Med (Lausanne)
January 2025
Department of Ophthalmology, Emory University, Atlanta, GA, United States.
Objective: Myopia prevalence is increasing at alarming rates, yet the underlying mechanistic causes are not understood. Several studies have employed experimental animal models of myopia and transcriptome profiling to identify genes and pathways contributing to myopia. In this study, we determined the retinal transcriptome changes in response to form deprivation in mouse retinas.
View Article and Find Full Text PDFExpert Rev Pharmacoecon Outcomes Res
January 2025
Merck & Co. Inc, Rahway, NJ, USA.
Background: We evaluated UK nurses' preferences for pediatric hexavalent vaccine attributes.
Research Design And Methods: In a discrete-choice experiment study, 150 nurses chose between 2 hypothetical pediatric hexavalent vaccines with varying attribute levels (device type, plastic in packaging, time on the market, and time the vaccine can stay safely at room temperature) in a series of choice questions. Using random-parameters logit-model estimates, conditional relative attribute importance (CRAI) and odds ratios (ORs) were calculated.
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