Background: Image-guided microwave ablation (MWA) is a technically demanding procedure, involving advanced visual-spatial perception skills. This study sought to create and evaluate a low-cost model and training curriculum for open ultrasound-guided liver tumor MWA.
Methods: Simulated tumors were created, implanted into bovine livers, and visualized by ultrasound. A high-fidelity abdominal model was constructed, with a total cost of $30. Experienced physicians in MWA performed simulated ablations and evaluated the model. Expert performance metrics were established and served as targets for our training curriculum. These included time, number of passes, number of repositionings, and percentage of tumor ablated. Next, 8 novice trainees completed our deliberate practice curriculum. Participants' performances were recorded throughout.
Results: Physicians completed a structured feedback questionnaire rating the model's realism and training utility at 8/10 and 10/10, respectively. Tumors appeared hyperechoic and were clearly visualized on ultrasound. Trainees performed a total of 32 ablations. Our trainees' performance improved significantly in all outcomes of interest in the postcurriculum ablations compared to precurriculum ablations.
Conclusion: We have created a cost-effective, high-fidelity model of MWA, with a deliberate practice curriculum. Trainees can practice to proficiency with clear target metrics prior to participating in clinical cas.
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http://dx.doi.org/10.1016/j.jsurg.2018.07.015 | DOI Listing |
Int J Med Inform
January 2025
School of Geography and the Environment, University of Oxford, South Parks Road, Oxford OX1 3QY, United Kingdom. Electronic address:
Background: Coronavirus Disease 2019 (COVID-19), caused by the SARS-CoV-2 virus, emerged as a global health crisis in 2019, resulting in widespread morbidity and mortality. A persistent challenge during the pandemic has been the accuracy of reported epidemic data, particularly in underdeveloped regions with limited access to COVID-19 test kits and healthcare infrastructure. In the post-COVID era, this issue remains crucial.
View Article and Find Full Text PDFInt J Med Inform
January 2025
Rheumatology and Allergy Clinical Epidemiology Research Center and Division of Rheumatology, Allergy, and Immunology, and Mongan Institute, Department of Medicine, Massachusetts General Hospital Boston MA USA. Electronic address:
Background: ANCA-associated vasculitis (AAV) is a rare but serious disease. Traditional case-identification methods using claims data can be time-intensive and may miss important subgroups. We hypothesized that a deep learning model analyzing electronic health records (EHR) can more accurately identify AAV cases.
View Article and Find Full Text PDFNurse Educ Today
January 2025
School of Nursing, Xuzhou Medical University, Xuzhou, Jiangsu, China. Electronic address:
Background: Clinical practice is key in the development and enhancement of the professional competencies for Master of Nursing Specialist postgraduates in anesthesia; however, there is a lack of unified and standardized clinical practice training programs in China, failing to guarantee teaching quality among institutions.
Objective: To understand perceptions of the clinical practice training program setting for Master of Nursing Specialist postgraduates in anesthesia from the dual perspectives of faculty and students.
Design: A qualitative descriptive study.
JMIR Form Res
January 2025
Department of Medical and Clinical Psychology, Center of Research on Psychological Disorders and Somatic Diseases (CoRPS), Tilburg University, Tilburg, the Netherlands, 31 134662142.
Background: Health-related data from technological devices are increasingly obtained through smartphone apps and wearable devices. These data could enable physicians and other care providers to monitor patients outside the clinic or assist individuals in improving lifestyle factors. However, the use of health technology data might be hampered by the reluctance of patients to share personal health technology data because of the privacy sensitivity of this information.
View Article and Find Full Text PDFCell Rep
January 2025
Ministry of Education Key Laboratory of Biosystems Homeostasis & Protection, College of Life Sciences, Zhejiang University, Hangzhou, China; Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital, Zhejiang Provincial Key Laboratory of Pancreatic Disease, School of Medicine, Zhejiang University, Hangzhou, China; Cancer Center, Zhejiang University, Hangzhou, China. Electronic address:
Arginine methylation is a common post-translational modification that plays critical roles in many biological processes. However, the existence of arginine demethylases that remove the modification has not been fully established. Here, we report that Myc-induced nuclear antigen 53 (Mina53), a member of the jumonji C (JmjC) protein family, is an arginine demethylase.
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