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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.
Pericapsular nerve group cryoneurolysis as an option for palliative nonoperative management of hip fracture in a patient with end-stage medical comorbidities.
Can J Anaesth
January 2025
Department of Anesthesiology, Perioperative and Pain Medicine, Alberta Health Services and Cumming School of Medicine, University of Calgary, South Health Campus, 4448 Front St. SE, Calgary, AB, T3M 1M4, Canada.
Purpose: We report the use of a pericapsular nerve group (PENG) cryoneurolysis for longer-term analgesia in a patient with a hip fracture and severe medical comorbidities as an alternative to hip fracture surgery.
Clinical Features: A frail but lucid and fully autonomous 97-yr-old female from an assisted living facility sustained a subcapital fracture of her right proximal femur following a ground level fall. She had significant comorbidities including end-stage respiratory disease.
Assessing the Image Quality of Digitally Reconstructed Radiographs from Chest CT.
J Imaging Inform Med
January 2025
Leiden University Medical Center (LUMC), Leiden, the Netherlands.
Rising computed tomography (CT) workloads require more efficient image interpretation methods. Digitally reconstructed radiographs (DRRs), generated from CT data, may enhance workflow efficiency by enabling faster radiological assessments. Various techniques exist for generating DRRs.
View Article and Find Full Text PDFAutomated Integration of AI Results into Radiology Reports Using Common Data Elements.
J Imaging Inform Med
January 2025
Department of Radiology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St., Philadelphia, PA, 19104, USA.
Integration of artificial intelligence (AI) into radiology practice can create opportunities to improve diagnostic accuracy, workflow efficiency, and patient outcomes. Integration demands the ability to seamlessly incorporate AI-derived measurements into radiology reports. Common data elements (CDEs) define standardized, interoperable units of information.
View Article and Find Full Text PDFEfficacy and safety of teriparatide in kidney transplant recipients with osteoporosis and low bone turnover: a real-world experience.
Int Urol Nephrol
January 2025
Nephrology, Dialysis and Kidney Transplant Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Introduction: Kidney transplantation is the preferred treatment for end-stage kidney disease (ESKD), enhancing survival and quality of life. However, kidney transplant recipients (KTRs) are at high risk for bone disorders, particularly low bone turnover disease, which increases fracture risk. Teriparatide, an anabolic agent, may provide a beneficial treatment option for these patients.
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