Differentiation of benign from malignant solid renal lesions using CT-based radiomics and machine learning: comparison with radiologist interpretation

被引：0
作者：
Andrew L. Wentland
Rikiya Yamashita
Aya Kino
Prachi Pandit
Luyao Shen
R. Brooke Jeffrey
Daniel Rubin
Aya Kamaya
机构：
[1] University of Wisconsin School of Medicine & Public Health,Department of Radiology
[2] University of Wisconsin School of Medicine & Public Health,Department of Medical Physics
[3] University of Wisconsin School of Medicine & Public Health,Department of Biomedical Engineering
[4] Stanford University School of Medicine,Department of Biomedical Data Science
[5] Stanford University School of Medicine,Department of Radiology
[6] Siemens Medical Solutions USA Inc.,undefined
来源：
Abdominal Radiology | 2023年 / 48卷
关键词：
Radiomics; Machine learning; Renal cell carcinoma; Artificial intelligence; Solid renal masses;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：642 / 648
页数：6
相关论文
共 32 条
[1]  
O’Connor SD(2011)Incidental finding of renal masses at unenhanced CT: prevalence and analysis of features for guiding management AJR Am J Roentgenol 197 139-145
[2]  
Collins S(2006)Update on the epidemiology and biology of renal cortical neoplasms J Endourol 20 975-985
[3]  
McKiernan J(2000)Contemporary approach to the classification of renal epithelial tumors Semin Oncol 27 124-137
[4]  
Landman J(2014)Solid renal masses: what the numbers tell us AJR Am J Roentgenol 202 1196-1206
[5]  
Reuter VE(2007)Percutaneous core biopsy for renal masses: indications, accuracy and results J Urol 178 1184-8
[6]  
Presti JC(2018)Percutaneous image-guided core biopsy of solid renal masses: analysis of safety, efficacy, pathologic interpretation, and clinical significance Abdom Radiol (NY) 43 1813-1819
[7]  
Kang SK(2009)Guideline for management of the clinical T1 renal mass J Urol 182 1271-1279
[8]  
Lebret T(2003)Solid renal tumors: an analysis of pathological features related to tumor size J Urol 170 2217-2220
[9]  
Alle N(2019)Radiomics in Kidney Cancer: MR Imaging Magn Reson Imaging Clin N Am 27 1-13
[10]  
Campbell SC(2016)Radiomics: Images Are More than Pictures They Are Data. Radiology 278 563-577
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