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Akademický článek

Case presentation and review of renal autotransplantation for nutcracker syndrome

Autor: Kevin D. Li, Max S. Bowman, Heiko Yang, Wilson Sui, Chris Freise, Marshall Stoller

Publikováno v: Urology Case Reports, Vol 54, Iss , Pp 102717- (2024)

Nutcracker Syndrome (NCS) is characterized by entrapment of the left renal vein, leading hematuria, flank pain, and proteinuria. We evaluated the efficacy of renal autotransplantation as a curative treatment for NCS through a review and case report.

Externí odkaz: https://doaj.org/article/bbd9589457394c9a890539174c61b65e

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Akademický článek

Voided volume may not impact stone outcomes: Review of a large institutional nephrolithiasis cohort

Autor: Kevin Shee, Carter Chan, Heiko Yang, Wilson Sui, Max Bowman, Fadl Hamouche, Leslie Bernal Charondo, Sunita Ho, Thomas Chi, Marshall L. Stoller

Publikováno v: BJUI Compass, Vol 4, Iss 5, Pp 556-561 (2023)

Abstract Background Urologic guidelines universally recommend increasing fluid intake for kidney stone prevention. Increased voided volume is thought to help reduce stone recurrence and severity, but supporting evidence is limited. Patients and Metho

Externí odkaz: https://doaj.org/article/3e6e75302fd24fb6856c58b6f0d7db92

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Machine Learning Models to Predict 24 Hour Urinary Abnormalities for Kidney Stone Disease

Autor: Nicholas L, Kavoussi, Chase, Floyd, Abin, Abraham, Wilson, Sui, Cosmin, Bejan, John A, Capra, Ryan, Hsi

Publikováno v: Urology. 169:52-57

To help guide empiric therapy for kidney stone disease, we sought to demonstrate the feasibility of predicting 24-hour urine abnormalities using machine learning methods.We trained a machine learning model (XGBoost [XG]) to predict 24-hour urine abno

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::020a3c1785b9e2196a9a41b89e2de869
https://doi.org/10.1016/j.urology.2022.07.008

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