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Importance: Fragility fractures result in significant morbidity.
Objective: To review evidence on osteoporosis screening to inform the US Preventive Services Task Force.
Data Sources: PubMed, Embase, Cochrane Library, and trial registries through January 9, 2024; references, experts, and literature surveillance through July 31, 2024.
High detection rate of parasitic load by qPCR targeting 18S rDNA in blood of patients with active leishmaniasis lesions.
Eur J Clin Microbiol Infect Dis
January 2025
Faculdade de Medicina, Laboratório de Parasitologia, Instituto de Medicina Tropical, Universidade de São Paulo, São Paulo, Brazil.
This study aimed to standardize qPCR techniques using these molecular markers kDNA and 18S rDNA across three sample types: peripheral blood, guanidine-treated blood, and tissue. The secondary objective is to evaluate the performance of 18S rDNA target in samples from 46 patients with confirmed tegumentary leishmaniasis. After obtaining the standard curve from reference strains with Leishmania, qPCR curves were standardizations and the Cts results of the patient samples were described using abstract measures.
View Article and Find Full Text PDFCharacterization of adrenal glands on computed tomography with a 3D V-Net-based model.
Insights Imaging
January 2025
Department of Radiology, Peking University First Hospital, Beijing, 100034, China.
Objectives: To evaluate the performance of a 3D V-Net-based segmentation model of adrenal lesions in characterizing adrenal glands as normal or abnormal.
Methods: A total of 1086 CT image series with focal adrenal lesions were retrospectively collected, annotated, and used for the training of the adrenal lesion segmentation model. The dice similarity coefficient (DSC) of the test set was used to evaluate the segmentation performance.
Machine learning prediction model for oral mucositis risk in head and neck radiotherapy: a preliminary study.
Support Care Cancer
January 2025
Oral Diagnosis Department, Faculdade de Odontolodia de Piracicaba, Universidade de Campinas (UNICAMP), Piracicaba, São Paulo, Brazil.
Purpose: Oral mucositis (OM) reflects a complex interplay of several risk factors. Machine learning (ML) is a promising frontier in science, capable of processing dense information. This study aims to assess the performance of ML in predicting OM risk in patients undergoing head and neck radiotherapy.
View Article and Find Full Text PDFDevelopment and validation of a preoperative nomogram for predicting gallbladder adenoma.
Surg Endosc
January 2025
Department of Hepatopancreatobiliary Surgery, The Second Affiliated Hospital of Kunming Medical University, 374 Dianmian Avenue, Wuhua District, Kunming, 650106, Yunnan, People's Republic of China.
Background: Gallbladder cholesterol polyp (GCP) and gallbladder adenoma (GA) are easily confused in clinical diagnosis. This study aims to establish a nomogram prediction model for preoperative prediction of the risk of GA patients.
Study Design: We retrospectively collected clinical data of GCP or GA patients who underwent laparoscopic cholecystectomy (LC) between January 2020 and April 2023.
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