We wanted to evaluate the feasibility and effect of a hands-on loop electrosurgical excision procedure (LEEP) 2.5-day intensive surgical skills workshop, using a novel training model on porcine tissue. Hands-on simulation-based training was conducted to emphasize colposcopy, local anesthesia, uterine cervix and vulva punch biopsy, LEEP, and complication management. Performance of 51 participants' technical skills was assessed before and after training completion. LEEP performance was significantly better after completion of the training (P < .001). Before and after training mean scores (SD) of 18.0 (3.5) and 23.4 (2.1) were assessed. Multivariate analysis revealed that the training effects were independent of previous surgical expertise. The LEEP workshop was feasible and effective and we recommend implementing hands-on LEEP training into gynecology training programs.
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http://dx.doi.org/10.1016/j.ajog.2012.01.016 | DOI Listing |
J Food Sci
January 2025
Digital Agriculture, Food and Wine Research Group, School of Agriculture, Food and Ecosystem Science, Faculty of Science, The University of Melbourne, Melbourne, Victoria, Australia.
Fraud in alcoholic beverages through counterfeiting and adulteration is rising, significantly impacting companies economically. This study aimed to develop a method using near-infrared (NIR) spectroscopy (1596-2396 nm) through the bottle, along with machine learning (ML) modeling for beer authentication, quality traits, and control assessment. For this study, 25 commercial beers from different brands, styles, and three types of fermentation were used.
View Article and Find Full Text PDFMol Divers
January 2025
School of Pharmacy, Shandong Second Medical University, Weifang, 261053, Shandong, People's Republic of China.
Non-small cell lung cancer (NSCLC) is the most common type of lung cancer, often linked to overexpression or abnormal activation of the epidermal growth factor receptor (EGFR). The issue of developing resistance to third-generation EGFR kinase inhibitors, such as osimertinib, underscores the urgent need for new therapies to overcome this resistance. Our findings revealed that compound A8 exhibits 88.
View Article and Find Full Text PDFInt J Comput Assist Radiol Surg
January 2025
Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA.
Purpose: Pulmonary perfusion imaging is a key lung health indicator with clinical utility as a diagnostic and treatment planning tool. However, current nuclear medicine modalities face challenges like low spatial resolution and long acquisition times which limit clinical utility to non-emergency settings and often placing extra financial burden on the patient. This study introduces a novel deep learning approach to predict perfusion imaging from non-contrast inhale and exhale computed tomography scans (IE-CT).
View Article and Find Full Text PDFRadiol Med
January 2025
Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Background: Accurate differentiation between benign and malignant pancreatic lesions is critical for effective patient management. This study aimed to develop and validate a novel deep learning network using baseline computed tomography (CT) images to predict the classification of pancreatic lesions.
Methods: This retrospective study included 864 patients (422 men, 442 women) with confirmed histopathological results across three medical centers, forming a training cohort, internal testing cohort, and external validation cohort.
Ultrasound J
January 2025
Physiotherapy Department, Blackpool Teaching Hospitals NHS Foundation Trust, Whinney Heys Road, Blackpool, FY3 8PY, UK.
Background: The adoption of diaphragm and lung ultrasound (DLUS) by physiotherapists, physical therapists, and respiratory therapists ("therapists") to examine and assess the diaphragm and lungs continues to grow. The aim of this updated scoping review is to re-explore and re-collate the evidence around the adoption of DLUS by therapists.
Methods: This scoping review followed the PRISMA-ScR guidelines.
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