Research graph
References from Radiomic model versus R.E.N.A.L. nephrometry score for predicting the likelihood of undergoing partial nephrectomy in clear cell renal cell carcinoma. Local targets link to admitted publications; unresolved targets remain external evidence.
Renal cancer
10.1016/s0140-6736(15)00046-x · 2016 · External reference
Exploratory subgroup analyses of renal function and overall survival in European Organization for Research and Treatment of Cancer randomized trial of nephron-sparing surgery versus radical nephrectomy
10.1016/j.euf.2017.02.015 · 2017 · External reference
European Association of Urology guidelines on renal cell carcinoma: The 2025 update
10.1016/j.eururo.2025.02.020 · 2025 · External reference
Renal tumor anatomic complexity: Clinical implications for urologists
10.1016/j.ucl.2016.12.004 · 2017 · External reference
The R.E.N.A.L. nephrometry score: A comprehensive standardized system for quantitating renal tumor size, location and depth
10.1016/j.juro.2009.05.035 · 2009 · External reference
Radiomics and artificial intelligence: Renal cell carcinoma
10.1016/j.ucl.2023.06.007 · 2024 · External reference
Pathologic analysis of non-neoplastic parenchyma in renal cell carcinoma: A comprehensive observation in radical nephrectomy specimens
10.1186/s12885-017-3849-5 · 2017 · External reference
Re: Percutaneous kidney biopsy for a small renal mass: A critical appraisal of results
10.1016/j.juro.2016.05.084 · 2016 · External reference
Percutaneous kidney biopsy for a small renal mass: A critical appraisal of results
10.1016/j.juro.2015.09.073 · 2016 · External reference
Percutaneous biopsy of renal cell carcinoma underestimates nuclear grade
10.1016/j.urology.2009.09.095 · 2010 · External reference
Radiomics: Images are more than pictures, they are data
10.1148/radiol.2015151169 · 2016 · External reference
Texture analysis as a radiomic marker for differentiating renal tumors
10.1007/s00261-017-1144-1 · 2017 · External reference
Radiomics in renal cell carcinoma–A systematic review and meta-analysis
10.3390/cancers13061348 · 2021 · External reference
CT texture analysis: A potential tool for predicting the Fuhrman grade of clear-cell renal carcinoma
10.1186/s40644-019-0195-7 · 2019 · External reference
Prediction of Fuhrman pathological grade of renal clear cell carcinoma based on CT texture analysis
10.62347/guwv5636 · 2024 · External reference
CT-based machine learning model to predict the Fuhrman nuclear grade of clear cell renal cell carcinoma
10.1007/s00261-019-01992-7 · 2019 · External reference
Imaging tool for predicting renal clear cell carcinoma Fuhrman grade: Comparing R.E.N.A.L. nephrometry score and CT texture analysis
10.1155/2021/1821876 · 2021 · External reference
Renal cell carcinoma subtype differentiation using single-phase corticomedullary contrast-enhanced CT
10.1016/j.clinimag.2014.09.007 · 2015 · External reference
Angiomyolipoma with minimal fat: Differentiation from clear cell renal cell carcinoma and papillary renal cell carcinoma by texture analysis on CT images
10.1016/j.acra.2015.04.004 · 2015 · External reference
The Image Biomarker Standardization Initiative: Standardized quantitative radiomics for high-throughput image-based phenotyping
10.1148/radiol.2020191145 · 2020 · External reference
Unenhanced CT texture analysis of clear cell renal cell carcinomas: A machine learning–based study for predicting histopathologic nuclear grade
10.2214/ajr.18.20742 · 2019 · External reference
A guideline of selecting and reporting intraclass correlation coefficients for reliability research
10.1016/j.jcm.2016.02.012 · 2016 · External reference
Regression shrinkage and selection via the lasso
10.1111/j.2517-6161.1996.tb02080.x · 1996 · External reference
Decision curve analysis: A novel method for evaluating prediction models
10.1177/0272989x06295361 · 2006 · External reference
A unified approach to interpreting model predictions
2017 · External reference
Symptoms as well as tumor size provide prognostic information on patients with localized renal tumors
10.1097/01.ju.0000141137.61330.4d · 2004 · External reference
CT textural analysis of large primary renal cell carcinomas: Pretreatment tumor heterogeneity correlates with histologic findings and clinical outcomes
10.2214/ajr.15.15451 · 2016 · External reference
Quantifying tumour heterogeneity with CT
10.1102/1470-7330.2013.0015 · 2013 · External reference
Intratumor heterogeneity and branched evolution revealed by multiregion sequencing
10.1056/nejmoa1113205 · 2012 · External reference
Tumor heterogeneity: Causes and consequences
10.1016/j.bbcan.2009.11.002 · 2010 · External reference
CT-based radiomic model predicts high grade of clear cell renal cell carcinoma
10.1016/j.ejrad.2018.04.013 · 2018 · External reference
Clear cell renal cell carcinoma: Machine learning-based quantitative computed tomography texture analysis for prediction of Fuhrman nuclear grade
10.1007/s00330-018-5698-2 · 2019 · External reference
Texture analysis as a radiomic marker for differentiating renal tumors
10.1007/s00261-017-1144-1 · ExternalCitation · doi-reference
CT-based machine learning model to predict the Fuhrman nuclear grade of clear cell renal cell carcinoma
10.1007/s00261-019-01992-7 · ExternalCitation · doi-reference
Clear cell renal cell carcinoma: Machine learning-based quantitative computed tomography texture analysis for prediction of Fuhrman nuclear grade
10.1007/s00330-018-5698-2 · ExternalCitation · doi-reference
Angiomyolipoma with minimal fat: Differentiation from clear cell renal cell carcinoma and papillary renal cell carcinoma by texture analysis on CT images
10.1016/j.acra.2015.04.004 · ExternalCitation · doi-reference
Tumor heterogeneity: Causes and consequences
10.1016/j.bbcan.2009.11.002 · ExternalCitation · doi-reference
Renal cell carcinoma subtype differentiation using single-phase corticomedullary contrast-enhanced CT
10.1016/j.clinimag.2014.09.007 · ExternalCitation · doi-reference
CT-based radiomic model predicts high grade of clear cell renal cell carcinoma
10.1016/j.ejrad.2018.04.013 · ExternalCitation · doi-reference
Exploratory subgroup analyses of renal function and overall survival in European Organization for Research and Treatment of Cancer randomized trial of nephron-sparing surgery versus radical nephrectomy
10.1016/j.euf.2017.02.015 · ExternalCitation · doi-reference
European Association of Urology guidelines on renal cell carcinoma: The 2025 update
10.1016/j.eururo.2025.02.020 · ExternalCitation · doi-reference
A guideline of selecting and reporting intraclass correlation coefficients for reliability research
10.1016/j.jcm.2016.02.012 · ExternalCitation · doi-reference
The R.E.N.A.L. nephrometry score: A comprehensive standardized system for quantitating renal tumor size, location and depth
10.1016/j.juro.2009.05.035 · ExternalCitation · doi-reference
Percutaneous kidney biopsy for a small renal mass: A critical appraisal of results
10.1016/j.juro.2015.09.073 · ExternalCitation · doi-reference
Re: Percutaneous kidney biopsy for a small renal mass: A critical appraisal of results
10.1016/j.juro.2016.05.084 · ExternalCitation · doi-reference
Renal tumor anatomic complexity: Clinical implications for urologists
10.1016/j.ucl.2016.12.004 · ExternalCitation · doi-reference
Radiomics and artificial intelligence: Renal cell carcinoma
10.1016/j.ucl.2023.06.007 · ExternalCitation · doi-reference
Percutaneous biopsy of renal cell carcinoma underestimates nuclear grade
10.1016/j.urology.2009.09.095 · ExternalCitation · doi-reference
Renal cancer
10.1016/s0140-6736(15)00046-x · ExternalCitation · doi-reference
Intratumor heterogeneity and branched evolution revealed by multiregion sequencing
10.1056/nejmoa1113205 · ExternalCitation · doi-reference
Symptoms as well as tumor size provide prognostic information on patients with localized renal tumors
10.1097/01.ju.0000141137.61330.4d · ExternalCitation · doi-reference
Quantifying tumour heterogeneity with CT
10.1102/1470-7330.2013.0015 · ExternalCitation · doi-reference
Regression shrinkage and selection via the lasso
10.1111/j.2517-6161.1996.tb02080.x · ExternalCitation · doi-reference
Radiomics: Images are more than pictures, they are data
10.1148/radiol.2015151169 · ExternalCitation · doi-reference
The Image Biomarker Standardization Initiative: Standardized quantitative radiomics for high-throughput image-based phenotyping
10.1148/radiol.2020191145 · ExternalCitation · doi-reference
Imaging tool for predicting renal clear cell carcinoma Fuhrman grade: Comparing R.E.N.A.L. nephrometry score and CT texture analysis
10.1155/2021/1821876 · ExternalCitation · doi-reference
Decision curve analysis: A novel method for evaluating prediction models
10.1177/0272989x06295361 · ExternalCitation · doi-reference
Pathologic analysis of non-neoplastic parenchyma in renal cell carcinoma: A comprehensive observation in radical nephrectomy specimens
10.1186/s12885-017-3849-5 · ExternalCitation · doi-reference
CT texture analysis: A potential tool for predicting the Fuhrman grade of clear-cell renal carcinoma
10.1186/s40644-019-0195-7 · ExternalCitation · doi-reference
CT textural analysis of large primary renal cell carcinomas: Pretreatment tumor heterogeneity correlates with histologic findings and clinical outcomes
10.2214/ajr.15.15451 · ExternalCitation · doi-reference
Unenhanced CT texture analysis of clear cell renal cell carcinomas: A machine learning–based study for predicting histopathologic nuclear grade
10.2214/ajr.18.20742 · ExternalCitation · doi-reference
Radiomics in renal cell carcinoma–A systematic review and meta-analysis
10.3390/cancers13061348 · ExternalCitation · doi-reference
Prediction of Fuhrman pathological grade of renal clear cell carcinoma based on CT texture analysis
10.62347/guwv5636 · ExternalCitation · doi-reference
