What's New

Last Posted: Apr 09, 2024

• Incremental value of automatically segmented perirenal adipose tissue for pathological grading of clear cell renal cell carcinoma: a multicenter cohort study.
  Shichao Li et al. Int J Surg 2024
• UroPredict: Machine learning model on real-world data for prediction of kidney cancer recurrence (UroCCR-120).
  Gaëlle Margue et al. NPJ Precis Oncol 2024 8(1) 45
• Referral patterns and genetic testing outcomes in a contemporary hereditary renal cancer clinic.
  J McFadden et al. Urol Oncol 2024
• Family History and Risk of Renal Cell Carcinoma: A National Multi-Register Case-Control Study.
  Rasmus G Jakobsson et al. J Urol 2023 101097JU0000000000003765
• Incremental value of radiomics with machine learning to the existing prognostic models for predicting outcome in renal cell carcinoma.
  Jiajun Xing et al. Front Oncol 2023 131036734
• Using machine learning to predict lymph node metastasis in patients with renal cell carcinoma: A population-based study.
  Yuhan Zhang et al. Front Public Health 2023 111104931
• Artificial intelligence-based multi-class histopathologic classification of kidney neoplasms.
  Dibson D Gondim et al. Journal of pathology informatics 2023 14100299
• Artificial intelligence-based prediction of overall survival in metastatic renal cell carcinoma.
  Ella Barkan et al. Frontiers in oncology 2023 131021684
• ANO4 Expression Is a Potential Prognostic Biomarker in Non-Metastasized Clear Cell Renal Cell Carcinoma.
  Ahmed H Al Sharie et al. Journal of personalized medicine 2023 13(2)
• A clinical prediction model for predicting the risk of liver metastasis from renal cell carcinoma based on machine learning.
  Ziye Wang et al. Frontiers in endocrinology 2023 131083569
• Relative Risk of Bladder and Kidney Cancer in Lynch Syndrome: Systematic Review and Meta-Analysis.
  Nassour Anthony-Joe et al. Cancers 2023 15(2)
• Machine learning approach for prediction of pT3a upstaging and outcomes of localized RCC (UroCCR-15).
  Boulenger de Hauteclocque A et al. BJU international 2023
• Differentiation of clear cell and non-clear-cell renal cell carcinoma through CT-based Radiomics models and nomogram.
  Cheng Delu et al. Current medical imaging 2022
• Genitourinary manifestations of Lynch syndrome in the urological practice.
  Lonati Chiara et al. Asian journal of urology 2022 9(4) 443-450
• Differentiation of benign from malignant solid renal lesions using CT-based radiomics and machine learning: comparison with radiologist interpretation.
  Wentland Andrew L et al. Abdominal radiology (New York) 2022
• Machine learning to improve prognosis prediction of metastatic clear-cell renal cell carcinoma treated with cytoreductive nephrectomy and systemic therapy.
  Yang Wenjie et al. Bosnian journal of basic medical sciences 2022
• Family History of Cancers Increases Risk of Renal Cell Carcinoma in a Chinese Population.
  Xing Siwei et al. Cancer management and research 2022 142561-2568
• Deep learning can predict survival directly from histology in clear cell renal cell carcinoma.
  Wessels Frederik et al. PloS one 2022 17(8) e0272656
• Using machine learning for mortality prediction and risk stratification in atezolizumab-treated cancer patients: Integrative analysis of eight clinical trials.
  Wu Yougen et al. Cancer medicine 2022
• A Novel Machine Learning 13-Gene Signature: Improving Risk Analysis and Survival Prediction for Clear Cell Renal Cell Carcinoma Patients.
  Terrematte Patrick et al. Cancers 2022 14(9)
• Belzutifan for Renal Cell Carcinoma in von Hippel-Lindau Disease.
  Jonasch Eric et al. The New England journal of medicine 2021 11 (22) 2036-2046
• A comprehensive texture feature analysis framework of renal cell carcinoma: pathological, prognostic, and genomic evaluation based on CT images.
  Wu Kai et al. European radiology 2021
• Comprehensive Analysis of mC RNA Methylation Regulator Genes in Clear Cell Renal Cell Carcinoma.
  Wu Jiajin et al. International journal of genomics 2021 20213803724
• Birt-Hogg-Dubé Syndrome and Hereditary Leiomyomatosis and Renal Cell Carcinoma Syndrome: An Effective Multidisciplinary Approach to Hereditary Renal Cancer Predisposing Syndromes.
  Al-Shinnag Mohammad et al. Frontiers in oncology 2021 11738822
• Predicting cardiac adverse events in patients receiving immune checkpoint inhibitors: a machine learning approach.
  Heilbroner Samuel Peter et al. Journal for immunotherapy of cancer 2021 9(10)
• A Radiomic-based Machine Learning Algorithm to Reliably Differentiate Benign Renal Masses from Renal Cell Carcinoma.
  Nassiri Nima et al. European urology focus 2021
• Genetic risk assessment for hereditary renal cell carcinoma: Clinical consensus statement.
  Bratslavsky Gennady et al. Cancer 2021
• Application of the ACMG/NSGC genetic referral guidelines for hereditary renal cell carcinoma at the University of Miami, from 2014 to 2017.
  Leuchter Jessica D et al. American journal of medical genetics. Part A 2021
• Evaluation of radiomics and machine learning in identification of aggressive tumor features in renal cell carcinoma (RCC).
  Gurbani Sidharth et al. Abdominal radiology (New York) 2021
• Validation of prognostic scoring systems for patients with metastatic renal cell carcinoma enrolled in phase I clinical trials.
  Hahn Andrew W et al. ESMO open 2020 Nov 5(6)

More