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33 results on '"Fernandez, Mario I."'

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1. PD30-03 PREDICTING RESPONSE TO INTRAVESICAL BCG IN HIGH RISK NON-MUSCLE INVASIVE BLADDER CANCER USING AN ARTIFICIAL INTELLIGENCE-POWERED PATHOLOGY ASSAY: DEVELOPMENT AND VALIDATION IN AN INTERNATIONAL 12 CENTER COHORT

2. PD27-12 DEVELOPMENT AND VALIDATION OF GENERALIZABLE INTERPRETABLE AI BIOMARKERS TO PREDICT CLINICAL OUTCOMES IN BCG-TREATED PATIENTS WITH NON-MUSCLE INVASIVE BLADDER CANCER

14. Evidence-based Sex-related Outcomes After Radical Nephroureterectomy for Upper Tract Urothelial Carcinoma: Results of Large Multicenter Study

15. Impact of Lymph Node Dissection on Cancer Specific Survival in Patients With Upper Tract Urothelial Carcinoma Treated With Radical Nephroureterectomy

19. REMOVAL OF AT LEAST 8 NODES IMPROVES CANCER-SPECIFIC SURVIVAL IN NON METASTATIC PATIENTS WITH UPPER TRACT UROTHELIAL CARCINOMA: 341

20. REMOVAL OF AT LEAST 8 NODES IMPROVES CANCERSPECIFIC SURVIVAL IN NON METASTATIC PATIENTS WITH UPPER TRACT UROTHELIAL CARCINOMA: 341

23. Upper Urinary Tract Carcinoma In Situ: Current Knowledge, Future Direction

26. PROPOSAL FOR SUBCLASSIFICATION OF PT3 UROTHELIAL CANCER OF THE RENAL PELVIS

27. Comparison of Oncologic Outcomes for Open and Laparoscopic Nephroureterectomy: A Multi-Institutional Analysis of 1249 Cases

28. Tumour Necrosis Is an Indicator of Aggressive Biology in Patients with Urothelial Carcinoma of the Upper Urinary Tract

29. Risk stratification of patients with nodal involvement in upper tract urothelial carcinoma: value of lymph-node density

30. Impact of Lymph Node Dissection on Cancer Specific Survival in Patients With Upper Tract Urothelial Carcinoma Treated With Radical Nephroureterectomy

31. Evidence-based Sex-related Outcomes After Radical Nephroureterectomy for Upper Tract Urothelial Carcinoma: Results of Large Multicenter Study

32. Lymphovascular Invasion Predicts Clinical Outcomes in Patients With Node-Negative Upper Tract Urothelial Carcinoma

33. Predicting Response to Intravesical BCG in High-Risk NMIBC Using an Artificial Intelligence-Powered Pathology Assay: Development and Validation in an International 12-Center Cohort.

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