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Adil Ouzzane

Researcher at Lille University of Science and Technology

Publications -  83
Citations -  3269

Adil Ouzzane is an academic researcher from Lille University of Science and Technology. The author has contributed to research in topics: Prostate cancer & Prostatectomy. The author has an hindex of 29, co-authored 83 publications receiving 2850 citations. Previous affiliations of Adil Ouzzane include Nord University & university of lille.

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Environmental factors involved in carcinogenesis of urothelial cell carcinomas of the upper urinary tract.

TL;DR: There is variability in interindividual susceptibility to the development of UUT carcinoma when exposed to the aforementioned risk factors Cytosolic sulfotransferases (SULTs) catalyse the detoxification of many environmental chemicals but also in the bioactivation of dietary and other mutagens, is thought to confer susceptibility to upper tract tumours.
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A novel robotic system for single-port urologic surgery: first clinical investigation.

TL;DR: A novel purpose-built robotic system enables surgeons to perform safely and effectively a variety of major urologic procedures through a single small abdominal incision and is described as the first clinical application of a novel robotic platform specifically designed for single-port Urologic surgery.
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Reporting Magnetic Resonance Imaging in Men on Active Surveillance for Prostate Cancer: The PRECISE Recommendations—A Report of a European School of Oncology Task Force

TL;DR: PRECISE recommendations are designed to facilitate the development of a robust evidence database for documenting changes in prostate MRI findings over time of men on active surveillance and to distinguish measurement error and natural variability in MRI appearances from true radiologic progression.
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Prediction of Cancer Specific Survival After Radical Nephroureterectomy for Upper Tract Urothelial Carcinoma: Development of an Optimized Postoperative Nomogram Using Decision Curve Analysis

TL;DR: Using standard pathological features obtained from the largest data set of upper tract urothelial carcinomas worldwide, an accurate and ultimate nomogram is devised and validated, superior to any single clinical variable, for predicting cancer specific survival after radical nephroureterectomy.