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| http://dx.doi.org/10.1177/014107689909200327 | DOI Listing |
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Fully automated segmentation and classification of renal tumors on CT scans via machine learning.
BMC Cancer
January 2025
Department of Urology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, South Korea.
Background: To develop and test the performance of a fully automated system for classifying renal tumor subtypes via deep machine learning for automated segmentation and classification.
Materials And Methods: The model was developed using computed tomography (CT) images of pathologically proven renal tumors collected from a prospective cohort at a medical center between March 2016 and December 2020. A total of 561 renal tumors were included: 233 clear cell renal cell carcinomas (RCCs), 82 papillary RCCs, 74 chromophobe RCCs, and 172 angiomyolipomas.
Hallmark discoveries in the biology of non-Wilms tumour childhood kidney cancers.
Nat Rev Urol
January 2025
Department of Pediatrics, Emory University School of Medicine, Atlanta, GA, USA.
Approximately 20% of paediatric and adolescent/young adult patients with renal tumours are diagnosed with non-Wilms tumour, a broad heterogeneous group of tumours that includes clear-cell sarcoma of the kidney, congenital mesoblastic nephroma, malignant rhabdoid tumour of the kidney, renal-cell carcinoma, renal medullary carcinoma and other rare histologies. The differential diagnosis of these tumours dates back many decades, when these pathologies were identified initially through clinicopathological observation of entities with outcomes that diverged from Wilms tumour, corroborated with immunohistochemistry and molecular cytogenetics and, subsequently, through next-generation sequencing. These advances enabled near-definitive recognition of different tumours and risk stratification of patients.
View Article and Find Full Text PDFPrognostic scores for predicting overall survival in patients with metastatic renal and urothelial cancer undergoing immunotherapy - which one to use?
World J Urol
January 2025
Department of Urology, University of Kiel (UKSH), Arnold-Heller-Strasse 1-3, 24105, Kiel, Germany.
Purpose: Evaluation of the prognostic significance of four different scoring systems in a real-world cohort of patients with metastatic urothelial carcinoma (mUC) or renal cell carcinoma (mRCC) undergoing immunotherapy (IO).
Methods: For 120 patients with mUC (n = 67) and mRCC (n = 53) who received IO between July 2016 and December 2020 at the tertiary Urological University Medical Centre Mannheim, the following scores were recorded at pre-treatment baseline: modified Glasgow prognostic score (mGPS), systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), neutrophil-to-eosinophil ratio (NER). Overall survival (time between the beginning of IO until the patients' death or last contact) was determined for every patient.
Recurrence after surgery for clear cell and papillary renal cell carcinoma: Head-to head comparison of validated risk scores.
Urol Oncol
January 2025
Division of Experimental Oncology/Unit of Urology, URI, IRCCS Ospedale San Raffaele, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy.
Introduction: The American Urology Association (AUA) recently introduced in their guidelines a subtype-agnostic, 4-tiered risk classification score to assess oncologic outcomes after surgery in patients with localized renal cell carcinoma (RCC). We provide a head-to-head comparison of the AUA score with 3, internationally validated and EAU recommended, histological-specific models.
Materials And Methods: We retrieved from a prospectively-maintained database 2,560 surgically-treated patients with localized RCC in a single high-volume European center (1987-2023).
Author Correction: Identification of KIFC1 as an independent prognostic marker in renal clear cell carcinoma correlates with tumor proliferation and immune infiltration.
Sci Rep
January 2025
Center of Healthy Aging, Changzhi Medical College, Changzhi, 047500, China.
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