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Multi-slice computed tomography radiomics combined with serum alpha-L-fucosidase: a potential biomarker for precise identification of pleomorphic adenoma and Warthin tumor.
Transl Cancer Res
December 2024
Department of Stomatology, The First Hospital of Lanzhou University, Lanzhou, China.
Background: The rising incidence of parotid gland tumors, with a focus on pleomorphic adenomas (PMA) and Warthin tumors (WT), necessitates accurate preoperative distinction due to their treatment variability and PMA's malignant potential. Traditional imaging, while valuable, has limited accuracy. This study employs multi-slice computed tomography (MSCT) radiomics coupled with serum alpha-L-fucosidase (AFU) levels to develop a diagnostic model aimed at elevating clinical discernment and precision therapy delivery.
View Article and Find Full Text PDFPatch-based feature mapping with generative adversarial networks for auxiliary hip fracture detection.
Comput Biol Med
January 2025
Institute of Biomedical Informatics, National Yang Ming Chiao Tung University, Taipei, Taiwan. Electronic address:
Background: Hip fractures are a significant public health issue, particularly among the elderly population. Pelvic radiographs (PXRs) play a crucial role in diagnosing hip fractures and are commonly used for their evaluation. Previous research has demonstrated promising performance in classification models for hip fracture detection.
View Article and Find Full Text PDFMulti-scale region selection network in deep features for full-field mammogram classification.
Med Image Anal
February 2025
Breast Cancer Center, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan 250117, China. Electronic address:
Article Synopsis
- Early detection of breast cancer through mammograms significantly decreases mortality rates, making image classification a crucial task for computer-aided diagnosis (CAD) systems.
- The reliance on region of interest (ROI) annotations in traditional CNN-based mammogram classification can be limiting due to the high costs and challenges in obtaining reliable annotations.
- The proposed deep multi-scale region selection network (MRSN) allows end-to-end training of full-field mammography images without needing ROI, effectively focusing on tumor regions and improving classification performance through selective feature representation.
Spatial Transcriptomic Profiling to Characterize the Nature of Peripheral- Versus Transition-zone Prostate Cancer.
Eur Urol Focus
November 2024
Department of Urology, Michigan Medicine, Ann Arbor, MI, USA; University of Michigan Rogel Cancer Center, Ann Arbor, MI, USA; Michigan Center for Translational Pathology, Michigan Medicine, Ann Arbor, MI, USA. Electronic address:
Background And Objective: Prostate cancer (PC) in the transition zone (TZ) has better prognosis than peripheral-zone (PZ) PC despite higher prostate-specific antigen (PSA) in patients with TZ tumors. Our aim was to characterize molecular differences between TZ and PZ tumors and their clinical implications.
Methods: We performed spatial whole-transcriptome analyses of 50 regions of interest (ROIs) from three patients with PZ and/or TZ PC.
This technical report explores the potential of including silicone bile duct simulators for the purpose of completing a bile duct anastomosis (BDA) in medical conferences. The purpose is to target the need for exposure to more surgical skills and to contribute to the Canadian Medical Education Directives for Specialists (CanMEDS) requirements, as per the Royal College of Physicians and Surgeons of Canada. Data collection was completed at the 2023 Canadian Conference for the Advancement of Surgical Education (C-CASE) in Montreal, Canada.
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