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)
• Aberrant Splicing of SDHC in Families With Unexplained Succinate Dehydrogenase-Deficient Paragangliomas.
  De Sousa Sunita M C et al. Journal of the Endocrine Society 2020 Dec 4(12) bvaa071
• 8q24 clear cell renal cell carcinoma germline variant is associated with VHL mutation status and clinical aggressiveness.
  Eckel-Passow Jeanette E et al. BMC urology 2020 Oct 20(1) 173
• Classification of renal tumour using convolutional neural networks to detect oncocytoma.
  Pedersen Mikkel et al. European journal of radiology 2020 Oct 133109343
• LINC02738 Participates in the Development of Kidney Cancer Through the miR-20b/Sox4 Axis.
  Han Chao et al. OncoTargets and therapy 2020 1310185-10196
• Deep learning-based and hybrid-type iterative reconstructions for CT: comparison of capability for quantitative and qualitative image quality improvements and small vessel evaluation at dynamic CE-abdominal CT with ultra-high and standard resolutions.
  Matsukiyo Ryo et al. Japanese journal of radiology 2020 Oct
• Analysis of Bone Scans in Various Tumor Entities Using a Deep-Learning-Based Artificial Neural Network Algorithm-Evaluation of Diagnostic Performance.
  Wuestemann Jan et al. Cancers 2020 Sep 12(9)
• Renal Cell Tumors: Molecular Findings Reshaping Clinico-pathological Practice.
  Tretiakova Maria S et al. Archives of medical research 2020 Aug
• Sharing the initial experience of pan-cancer panel analysis in high-risk renal cell carcinoma in the Korean population.
  Suh Jungyo et al. BMC urology 2020 Aug 20(1) 125
• An optimal prognostic model based on gene expression for clear cell renal cell carcinoma.
  Xu Dan et al. Oncology letters 2020 Sep 20(3) 2420-2434
• Profiles of overall survival-related gene expression-based risk signature and their prognostic implications in clear cell renal cell carcinoma.
  He Zihao et al. Bioscience reports 2020 Aug
• Radiomics and Artificial Intelligence for Renal Mass Characterization.
  Lubner Meghan G et al. Radiologic clinics of North America 2020 Sep 58(5) 995-1008
• Identification of a Glucose Metabolism-related Signature for prediction of Clinical Prognosis in Clear Cell Renal Cell Carcinoma.
  Wang Sheng et al. Journal of Cancer 2020 11(17) 4996-5006
• Prognostic Value of DNA Methylation-Driven Genes in Clear Cell Renal Cell Carcinoma: A Study Based on Methylation and Transcriptome Analyses.
  Hu Maolin et al. Disease markers 2020 20208817652
• Identification and Comprehensive Validation of a DNA Methylation-Driven Gene-Based Prognostic Model for Clear Cell Renal Cell Carcinoma.
  Zhang Di et al. DNA and cell biology 2020 Jul
• Clinical and Immunological Implications of Frameshift Mutations in Lung Cancer.
  Chae Young Kwang et al. Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer 2019 14(10) 1807-1817
• Immunogenomics of Metastatic Clear-Cell Renal Cell Carcinoma: Remarkable Response to Nivolumab in a Patient With a Pathogenic Germ Line BRCA1 Mutation.
  Beulque Yana et al. Clinical genitourinary cancer 2019 17(5) e909-e912
• A new survival model based on ferroptosis-related genes for prognostic prediction in clear cell renal cell carcinoma.
  Wu Guangzhen et al. Aging 2020 Jul 12
• A CT-based deep learning model for predicting the nuclear grade of clear cell renal cell carcinoma.
  Lin Fan et al. European journal of radiology 2020 May 129109079
• Assessing Genomic Copy Number Alterations as Best Practice for Renal Cell Neoplasia: An Evidence-Based Review from the Cancer Genomics Consortium Workgroup.
  Liu Yajuan J et al. Cancer genetics 2020 May 24440-54
• Automated classification of solid renal masses on contrast-enhanced computed tomography images using convolutional neural network with decision fusion.
  Zabihollahy Fatemeh et al. European radiology 2020 Apr

More