Comparison of CT Texture Analysis Software Platforms in Renal Cell Carcinoma: Reproducibility of Numerical Values and Association With Histologic Subtype Across Platforms

Author:

Dreyfuss Leo D.12,Abel E. Jason1,Nystrom Jered2,Stabo Nicholas J.2,Pickhardt Perry J.2,Lubner Meghan G.2

Affiliation:

1. Department of Urology, University of Wisconsin School of Medicine and Public Health, Madison, WI

2. Department of Radiology, University of Wisconsin School of Medicine and Public Health, E3/311 Clinical Sciences Center, 600 Highland Ave, Madison WI 53792

Publisher

American Roentgen Ray Society

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. The role of radiomics analysis in the assessment of renal nodules on CT;Journal of Medical Imaging and Interventional Radiology;2024-09-04

2. Differentiation of Clear Cell and Non-clear-cell Renal Cell Carcinoma through CT-based Radiomics Models and Nomogram;Current Medical Imaging Formerly Current Medical Imaging Reviews;2023-08

3. Pancreatic Cystic Lesions;Gastrointestinal Endoscopy Clinics of North America;2023-07

4. Pilot Study for the Assessment of the Best Radiomic Features for Bosniak Cyst Classification Using Phantom and Radiologist Inter-Observer Selection;Diagnostics;2023-04-10

5. Editor's Notebook: June 2021;American Journal of Roentgenology;2021-06

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