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Development of a CT radiomics prognostic model for post renal tumor resection overall survival based on transformer enhanced K-means clustering.
Med Phys
January 2025
Department of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou, China.
Background: Kidney tumors, common in the urinary system, have widely varying survival rates post-surgery. Current prognostic methods rely on invasive biopsies, highlighting the need for non-invasive, accurate prediction models to assist in clinical decision-making.
Purpose: This study aimed to construct a K-means clustering algorithm enhanced by Transformer-based feature transformation to predict the overall survival rate of patients after kidney tumor resection and provide an interpretability analysis of the model to assist in clinical decision-making.
Where does the tether break in vertebral body tethering cases? Clinical insights from revision cases after tether breakage.
Spine Deform
January 2025
Department of Spine Surgery, Eifelklinik St Brigida, St. Brigida Eifelklinik, Kammerbruchst. 8, 52152, Simmerath, Germany.
Purpose: To evaluate the sites where the tether breaks in vertebral body tethering (VBT) cases.
Methods: Intraoperative evaluation of broken tethers in patients who had anterior revision.
Inclusion Criteria: anterior revision of VBT cases with explantation of the full implant and photo documentation.
Impact of adherence to quality indicators and effects of targeted treatment with cefazolin or flucloxacillin on in-hospital mortality in patients with methicillin-susceptible Staphylococcus aureus (MSSA) bloodstream infections: a retrospective observational study.
Infection
January 2025
Department of Infectious Diseases and Tropical Medicine, Hospital St. Georg, Leipzig, Germany.
Purpose: To analyze the associations between adherence to quality indicators (QIs) in the treatment of bloodstream infections caused by methicillin-susceptible Staphylococcus (S.) aureus (MSSA) and in-hospital mortality.
Methods: A retrospective observational study was conducted in patients admitted between 2019 and 2023 to Hospital St.
In Vivo Confocal Microscopy for Automated Detection of Meibomian Gland Dysfunction: A Study Based on Deep Convolutional Neural Networks.
J Imaging Inform Med
January 2025
Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Eye Disease, Shanghai, 200080, China.
The objectives of this study are to construct a deep convolutional neural network (DCNN) model to diagnose and classify meibomian gland dysfunction (MGD) based on the in vivo confocal microscope (IVCM) images and to evaluate the performance of the DCNN model and its auxiliary significance for clinical diagnosis and treatment. We extracted 6643 IVCM images from the three hospitals' IVCM database as the training set for the DCNN model and 1661 IVCM images from the other two hospitals' IVCM database as the test set to examine the performance of the model. Construction of the DCNN model was performed using DenseNet-169.
View Article and Find Full Text PDFSocial Network Types in Autistic Adults and Its Associations with Mastery, Quality of Life, and Autism Characteristics.
J Autism Dev Disord
January 2025
Leo Kannerhuis, Youz (Parnassia Group), Arnhem/Amsterdam, The Netherlands.
Research shows heterogeneity in experiences of social contact and social networks in autistic adults. In this study, we aim to identify clusters of social support networks and investigate associations of clusters with mastery, quality of life, and autism characteristics. Autistic adults (N = 381; 45.
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