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Background: To compare the effect of minimally invasive and open transforaminal lumbar interbody fusion (TLIF) approaches in fusing the L4-L5 segment and predicting the potential risk of adjacent segment degeneration (ASD).
Methods: A computed tomography scan image was processed and the three-dimensional model of the L1-L5 spine was reconstructed. The minimally invasive and Open TLIF finite element models were constructed.
Unlabelled: Macroeconomic conditions significantly affect consumer spending patterns, including aesthetic surgery expenditures. This study examines the longitudinal relationship between unemployment rates, disposable income, stock indices, and aesthetic surgery spending from 2006 to 2019. Data on aesthetic surgery expenditures were collected from the American Society of Plastic Surgeons, whereas unemployment data were obtained from the US Bureau of Labor Statistics, disposable income from the US Bureau of Economic Analysis, and stock indices from the Federal Reserve Economic Data.
View Article and Find Full Text PDFCT Texture Analysis in Breast Cancer Patients Undergoing CT-Guided Bone Biopsy: Correlations With Histopathology.
Breast Cancer (Auckl)
January 2025
Department of Diagnostic and Interventional Radiology, University of Leipzig, Leipzig, Germany.
Background: Texture analysis has the potential to deliver quantitative imaging markers. Patients receiving computed tomography (CT)-guided percutaneous bone biopsies could be characterized using texture analysis derived from CT. Especially for breast cancer (BC) patients, it could be crucial to better predict the outcome of the biopsy to better reflect the immunohistochemistry status of the tumor.
View Article and Find Full Text PDFRanking Surgeon Performance After ACL Reconstruction Using the Knee Injury and Osteoarthritis Outcome Score (KOOS) Subscales.
Orthop J Sports Med
January 2025
Center for Effectiveness Research in Orthopaedics, Greenville, South Carolina, USA.
Background: Patient-reported outcomes (PROs) are considered the gold standard for evaluating value-based care in orthopaedics. However, there is little evidence to guide implementation of PROs for surgeon performance evaluation.
Purpose: To develop a risk-adjusted surgeon performance measure using the Knee injury and Osteoarthritis Outcome Score (KOOS) for patients undergoing anterior cruciate ligament reconstruction (ACLR).
Artificial intelligence-enhanced electrocardiography improves the detection of coronary artery disease.
Comput Struct Biotechnol J
December 2024
Institute of Molecular and Genomic Medicine, National Health Research Institutes, Miaoli 350, Taiwan.
An AI-assisted algorithm has been developed to improve the detection of significant coronary artery disease (CAD) in high-risk individuals who have normal electrocardiograms (ECGs). This retrospective study analyzed ECGs from patients aged ≥ 18 years who were undergoing coronary angiography to obtain a clinical diagnosis at Chang Gung Memorial Hospital in Taiwan. Utilizing 12-lead ECG datasets, the algorithm integrated features like time intervals, amplitudes, and slope between peaks, a total of 561 features, with the XGBoost model yielding the best performance.
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