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Exploring the influence of medical staffing and birth volume on observed-to-expected cesarean deliveries: a panel data analysis of integrated obstetric and gynecological departments in Germany.
Eur J Health Econ
January 2025
Department of Business Administration and Health Care Management, Faculty of Management, Economics and Social Sciences, University of Cologne, Cologne, Germany.
Introduction: Cesarean deliveries account for approximately one-third of all births in Germany, prompting ongoing discussions on cesarean section rates and their connection to medical staffing and birth volume. In Germany, the majority of departments integrate obstetric and gynecological care within a single department.
Methods: The analysis utilized quality reports from German hospitals spanning 2015 to 2019.
Comparative outcomes of ultrasound-guided radiofrequency ablation vs. microwave ablation for patients with T1N0M0 papillary thyroid carcinoma: a retrospective cohort study.
Eur Radiol
January 2025
Department of Ultrasound, First Medical Center, Chinese PLA General Hospital, No. 28 Fuxing Road, Haidian District, 100853, Beijing, China.
Objective: To compare the clinical outcomes between radiofrequency ablation (RFA) and microwave ablation (MWA) for the treatment of T1N0M0 papillary thyroid carcinoma (PTC) in a large cohort.
Materials And Methods: This retrospective study included 1111 patients with solitary T1N0M0 PTC treated with RFA (n = 894) or MWA (n = 215) by experienced physicians. A propensity score matching was used to compare disease progression, including lymph node metastases (LNM), recurrent tumors and persistent tumors, recurrence-free survival (RFS), volume reduction ratio (VRR), and complications between the RFA and MWA groups.
Automated Deep Learning-Based Detection and Segmentation of Lung Tumors at CT.
Radiology
January 2025
Stanford University School of Medicine, Department of Radiation Oncology, Stanford, CA, US.
Background Detection and segmentation of lung tumors on CT scans are critical for monitoring cancer progression, evaluating treatment responses, and planning radiation therapy; however, manual delineation is labor-intensive and subject to physician variability. Purpose To develop and evaluate an ensemble deep learning model for automating identification and segmentation of lung tumors on CT scans. Materials and Methods A retrospective study was conducted between July 2019 and November 2024 using a large dataset of CT simulation scans and clinical lung tumor segmentations from radiotherapy plans.
View Article and Find Full Text PDFA comprehensive assessment of headache characteristics, management, and burden of migraine in comparison with tension-type headache in Türkiye: Results of a cross-sectional survey of adult patients.
Agri
January 2025
Department of Neurology, İstanbul University, Cerrahpaşa Faculty of Medicine, Cerrahpaşa, İstanbul, Türkiye.
Objectives: Migraine is a common cause of headache and a leading cause of morbidity in Türkiye. This study aimed to describe the clinical characteristics and management of migraine and to compare migraine with tension-type headache (TTH) regarding the burden of disease and healthcare resource utilization.
Methods: A total of 1368 patients (aged 18-65 years) with migraine or TTH were surveyed regarding sociodemographics, headache characteristics, clinical management, disease burden, quality of life, and healthcare resource utilization within the previous 12 months.
Navigating Copyright Law and Fair Use in the Age of Digital Education.
J Physician Assist Educ
January 2025
Diana T. Noller, DHSc, MMS, MSPT, PA-C, is a founding director, Austin College PA Program, Austin College, Denison, Texas. Legal review of this article was provided by Gregg Shalan, MD, JD, LL.M, Medical Director, Neurocritical Unit, Methodist Dallas Medical Center.
Intellectual property laws were not originally designed to address digital classrooms and shared online learning environments, but these concerns are now relevant to many educational institutions. The recent expansion of technology utilization in health professions education presents educators with the challenges to accurately interpret copyright law and implement best practices under the tenets of fair use. Discerning legal and ethical parameters relevant to copyright law will encourage the implementation of best practices in disseminating information and creating appropriate learning activities in the age of digital education.
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