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http://dx.doi.org/10.1016/j.eururo.2016.03.008 | DOI Listing |
Abdom Radiol (NY)
October 2024
National Institutes of Health, Bethesda, USA.
Current surgical approaches for renal malignancies primarily rely on qualitative factors such as patient preferences, surgeon experience, and hospital capabilities. Applying a quantitative method for consistent and reliable assessment of renal lesions would significantly enhance surgical decision-making and facilitate data comparison. Nephrometry scoring (NS) systems systematically evaluate and describe renal tumors based on their anatomical features.
View Article and Find Full Text PDFJ Med Genet
October 2024
Urologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
von Hippel-Lindau (VHL) is an autosomal-dominant hereditary tumour susceptibility disease associated with pathogenic germline variants in the tumour suppressor gene. VHL patients are at increased risk of developing multiple benign and malignant tumours. Current CLIA-based genetic tests demonstrate a very high detection rate of germline variants in patients with clinical manifestations of VHL.
View Article and Find Full Text PDFClin Imaging
November 2024
Radiology and Imaging Sciences, Warren Grant Magnuson Clinical Center, National Institutes of Health, 10 Center Drive, Bethesda, MD 20892, USA. Electronic address:
Purpose: Succinate dehydrogenase (SDH)-deficient renal cell carcinoma (RCC) is a newly defined, rare subtype of renal cancer, associated with pathogenic variations in the Succinate Dehydrogenase Subunit B (SDHB) gene. Our aim is to investigate the imaging findings of SDHB-associated renal tumors, utilizing cross-sectional and FDG-PET imaging in patients with pathogenic variations in SDHB gene, to facilitate accurate tumor characterization.
Methods: Twenty SDH-deficient tumors from 16 patients with pathogenic variations in SDHB gene were retrospectively evaluated using cross-sectional and FDG-PET imaging.
JCO Precis Oncol
July 2024
Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Urol Pract
September 2024
Urologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Introduction: GPT-4 is a large language model with potential for multiple applications in urology. Our study sought to evaluate GPT-4's performance in data extraction from renal surgery operative notes.
Methods: GPT-4 was queried to extract information on laterality, surgery, approach, estimated blood loss, and ischemia time from deidentified operative notes.
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