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http://dx.doi.org/10.1001/jama.283.15.2015 | DOI Listing |
J Comp Eff Res
January 2025
Boston Scientific Corporation; 100 Boston Scientific Way, Marlborough, MA, USA.
This study assessed the economic impact of reducing one postoperative visit following inflatable penile prosthesis (IPP) implantation. Scenario analyses were used to model the effects of eliminating one 30-min IPP postoperative visit from the expected 2.5 visits accounted for by the American Medical Association resource-based relative value scale data.
View Article and Find Full Text PDFCancer Med
January 2025
Department of Pediatric Surgery, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Background: Medical images play an important role in diagnosis and treatment of pediatric solid tumors. The field of radiology, pathology, and other image-based diagnostics are getting increasingly important and advanced. This indicates a need for advanced image processing technology such as Deep Learning (DL).
View Article and Find Full Text PDFJ Med Virol
January 2025
Radiology department, Tianjin Fifth Central Hospital, Tianjin, China.
To evaluate the performance of three rapid influenza diagnostic tests (RIDTs) for detecting influenza A and B viruses compared to RT-PCR. A total of 291 subjects with acute respiratory infections were enrolled. Respiratory specimens were collected and tested for influenza A and B viruses using three RIDTs.
View Article and Find Full Text PDFEndocr Metab Immune Disord Drug Targets
January 2025
Department of Stomatology, The Affiliated Huaian No.1 People's Hospital, Nanjing Medical University, No.1 Huanghe West Road, Huaian, 223300, Jiangsu Province, China.
Background: Crohn's Disease (CD) is a chronic inflammatory gastrointestinal disease. Ustekinumab (UST) has been utilized as a therapeutic option for CD patients. However, approximately 40-60% of patients exhibit an inadequate response to UST.
View Article and Find Full Text PDFCurr Med Imaging
January 2025
Department of Radiology, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China.
Objective: The aim of this study was to develop and validate predictive models for perineural invasion (PNI) in gastric cancer (GC) using clinical factors and radiomics features derived from contrast-enhanced computed tomography (CE-CT) scans and to compare the performance of these models.
Methods: This study included 205 GC patients, who were randomly divided into a training set (n=143) and a validation set (n=62) in a 7:3 ratio. Optimal radiomics features were selected using the least absolute shrinkage and selection operator (LASSO) algorithm.
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