Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7656359 | PMC |
| http://dx.doi.org/10.21037/jtd-20-1733 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Association with Outcome of the Regurgitant-Volume Adjusted Right Ventricular Ejection Fraction in Secondary Tricuspid Regurgitation.
J Am Soc Echocardiogr
January 2025
Department of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy; Department of Cardiology, Istituto Auxologico Italiano, IRCCS, Milan, Italy.
Background: In patients with secondary tricuspid regurgitation (STR), right ventricular ejection fraction (RVEF) may not accurately reflect the actual RV systolic performance since a considerable amount of the RV stroke volume (SV) is regurgitated back into the right atrium. To overcome this limitation, we explored the association with the outcome of the effective RVEF (eRVEF), which accounts for the tricuspid regurgitant volume (RegVol).
Methods: 513 patients with STR (mean age 75±13 years, 39% atrial STR, 58% severe) underwent complete two-, three-dimensional, and Doppler echocardiography.
Evaluating the Acceptance and Usability of an Independent, Noncommercial Search Engine for Medical Information: Cross-Sectional Questionnaire Study and User Behavior Tracking Analysis.
JMIR Hum Factors
January 2025
Institute of General Practice, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
Background: The internet is a key source of health information, but the quality of content from popular search engines varies, posing challenges for users-especially those with low health or digital health literacy. To address this, the "tala-med" search engine was developed in 2020 to provide access to high-quality, evidence-based content. It prioritizes German health websites based on trustworthiness, recency, user-friendliness, and comprehensibility, offering category-based filters while ensuring privacy by avoiding data collection and advertisements.
View Article and Find Full Text PDFThorium ore dust research applicable to mineral sands industry workers.
J Radiol Prot
January 2025
School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, AUSTRALIA.
Historically, radiation exposure to mineral sands workers arose primarily from intake of thorium associated with monazite dust generated in mineral separation plants. Research investigations in the 1990s provided greater insight into the characteristics of inhaled thorium ore dust and bioassay studies inferred that some workers had accumulated significant lung burdens of thorium. Recent changes to biokinetic models have increased the radiation dose assessed to arise from thorium intake, raising questions on the appropriateness of current assumptions used in exposure assessment and feasibility of further bioassay research.
View Article and Find Full Text PDFCombination of Biological Aging and Genetic Susceptibility Helps Identifying At-Risk Population of Venous Thromboembolism: A Prospective Cohort Study of 394 041 Participants.
Am J Hematol
January 2025
Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China.
Phenotypic age acceleration (PhenoAgeAccel) is a novel clinical aging indicator. This study was carried out to investigate the relationship between PhenoAgeAccel and the incidence of VTE, as well as to integrate PhenoAgeAccel with genetic susceptibility to improve risk stratification of VTE. The study included 394 041 individuals from the UK Biobank.
View Article and Find Full Text PDFMixed reality infrastructure based on deep learning medical image segmentation and 3D visualization for bone tumors using DCU-Net.
J Bone Oncol
February 2025
School of Mathematics and Computer Science, Quanzhou Normal University, Quanzhou, 362001, China.
Objective: Segmenting and reconstructing 3D models of bone tumors from 2D image data is of great significance for assisting disease diagnosis and treatment. However, due to the low distinguishability of tumors and surrounding tissues in images, existing methods lack accuracy and stability. This study proposes a U-Net model based on double dimensionality reduction and channel attention gating mechanism, namely the DCU-Net model for oncological image segmentation.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!