Current and future applications of machine and deep learning in urology: a review of the literature on urolithiasis, renal cell carcinoma, and bladder and prostate …

R Suarez-Ibarrola, S Hein, G Reis, C Gratzke… - World journal of …, 2020 - Springer
Purpose The purpose of the study was to provide a comprehensive review of recent
machine learning (ML) and deep learning (DL) applications in urological practice …

Renal tumor biopsies for evaluation of small renal tumors: why, in whom, and how?

M Remzi, M Marberger - European urology, 2009 - Elsevier
CONTEXT: Renal tumor biopsies (RTBs) gained popularity in the evaluation of small renal
tumors (SRTs) because imaging alone is insufficient to show the underlying aggressiveness …

Clear cell renal cell carcinoma: machine learning-based quantitative computed tomography texture analysis for prediction of fuhrman nuclear grade

CT Bektas, B Kocak, AH Yardimci, MH Turkcanoglu… - European …, 2019 - Springer
Objective To evaluate the performance of quantitative computed tomography (CT) texture
analysis using different machine learning (ML) classifiers for discriminating low and high …

Long-term oncologic outcomes after radiofrequency ablation for T1 renal cell carcinoma

SP Psutka, AS Feldman, WS McDougal, FJ McGovern… - European urology, 2013 - Elsevier
BACKGROUND: Radiofrequency ablation (RFA) of renal cell carcinoma (RCC) is used to
obtain local control of small renal masses. However, available long-term oncologic …

Machine learning-based CT radiomics approach for predicting WHO/ISUP nuclear grade of clear cell renal cell carcinoma: an exploratory and comparative study

Y Xv, F Lv, H Guo, X Zhou, H Tan, M Xiao, Y Zheng - Insights into imaging, 2021 - Springer
Purpose To investigate the predictive performance of machine learning-based CT radiomics
for differentiating between low-and high-nuclear grade of clear cell renal cell carcinomas …

Unenhanced CT texture analysis of clear cell renal cell carcinomas: a machine learning–based study for predicting histopathologic nuclear grade

B Kocak, ES Durmaz, E Ates, OK Kaya… - American Journal of …, 2019 - Am Roentgen Ray Soc
OBJECTIVE. The purpose of this study is to investigate the predictive performance of
machine learning (ML)–based unenhanced CT texture analysis in distinguishing low …

Utility of the apparent diffusion coefficient for distinguishing clear cell renal cell carcinoma of low and high nuclear grade

AB Rosenkrantz, BE Niver… - American Journal of …, 2010 - Am Roentgen Ray Soc
OBJECTIVE. The purpose of our study was to assess the utility of the apparent diffusion
coefficient (ADC) in distinguishing low-grade and high-grade clear cell renal cell carcinoma …

CT texture analysis: a potential tool for predicting the Fuhrman grade of clear-cell renal carcinoma

Z Feng, Q Shen, Y Li, Z Hu - Cancer Imaging, 2019 - Springer
Background The purpose of this study was to analyze the image heterogeneity of clear-cell
renal-cell carcinoma (ccRCC) by computer tomography texture analysis and to provide new …

Complexity of tumor vasculature in clear cell renal cell carcinoma

CN Qian, D Huang, B Wondergem, BT Teh - Cancer, 2009 - Wiley Online Library
Clear cell renal cell carcinoma (CCRCC) is a highly vascularized cancer resistant to
conventional chemotherapy and radiotherapy. Antiangiogenic therapy has achieved some …

Prognostic factors and selection for clinical studies of patients with kidney cancer

JS Lam, T Klatte, HL Kim, JJ Patard, A Breda… - Critical reviews in …, 2008 - Elsevier
Over the past 2 decades, a greater understanding of the basic biology and genetics of
kidney cancer has occurred. Surgical techniques have also evolved, and technological …