This new resectoscope is the result of over 30 years experience of T.U.R. Its principle is a double flow running through the resectoscope: inflow and outflow under succion. The advantages are: 1. T.U.R. can be performed continuously, quicker than with conventional resectoscopes and theoretically with no limit of time. 2. T.U.R. is done under intra-vesical pressure, avoiding the T.U.R. syndrome. 3. T.U.R. is done more confortably: better vision bleeding control by watching the suction bottle, no more wet surgeon.
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Brain Commun
December 2024
Department of Health Sciences (DISSAL), Università di Genova, 16132 Genoa, Italy.
This study applies the Gaussian process progression model, a Bayesian data-driven disease progression model, to analyse the evolution of primary progressive multiple sclerosis. Utilizing data from 1521 primary progressive multiple sclerosis participants collected within the International Progressive Multiple Sclerosis Alliance Project, the analysis includes 18 581 longitudinal time-points (average follow-up time: 28.2 months) of disability assessments including the expanded disability status scale, symbol digit modalities, timed 25-foot-walk, 9-hole-peg test and of MRI metrics such as T1 and T2 lesion volume and normalized brain volume.
View Article and Find Full Text PDFMedicina (Kaunas)
November 2024
Division of Medical Oncology, Department of Internal Medicine, Ankara University Faculty of Medicine, Ankara 06620, Türkiye.
: Primary prostatic stromal sarcoma is an exceptionally rare urological malignancy, constituting less than 0.1% of all prostatic cancers. It poses a significant clinical challenge due to its aggressive behavior and poor prognosis.
View Article and Find Full Text PDFDiagnostics (Basel)
December 2024
Internal Medicine Department, Faculty of Medicine, Ahi Evran University, Kirsehir 40200, Turkey.
: Accurate and rapid detection of COVID-19 remains critical for clinical management, especially in resource-limited settings. Current diagnostic methods face challenges in terms of speed and reliability, creating a need for complementary AI-based models that integrate diverse data sources. : This study aimed to develop and evaluate a multi-modal machine learning model that combines clinical biomarkers and chest X-ray images to enhance diagnostic accuracy and provide interpretable insights.
View Article and Find Full Text PDFCureus
December 2024
Department of Obstetrics and Gynecology, Kastamonu Training and Research Hospital, Kastamonu, TUR.
Cureus
December 2024
Pathology Department, Istanbul University-Cerrahpasa, Cerrahpasa Medical Faculty, Istanbul, TUR.
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