Noninvasive Fuhrman grading of clear cell renal cell carcinoma using computed tomography radiomic features and machine learning

被引：0
|
作者：
Mostafa Nazari
Isaac Shiri
Ghasem Hajianfar
Niki Oveisi
Hamid Abdollahi
Mohammad Reza Deevband
Mehrdad Oveisi
Habib Zaidi
机构：
[1] Shahid Beheshti University of Medical Sciences,Department of Biomedical Engineering and Medical Physics, School of Medicine
[2] Geneva University Hospital,Division of Nuclear Medicine and Molecular Imaging
[3] Iran University of Medical Science,Rajaie Cardiovascular Medical and Research Center
[4] The University of British Columbia,School of Population and Public Health
[5] Kerman University,Department of Radiologic Sciences and Medical Physics, Faculty of Allied Medicine
[6] University of British Columbia,Department of Computer Science
[7] Geneva University,Geneva University Neurocenter
[8] University Medical Center Groningen,Department of Nuclear Medicine and Molecular Imaging, University of Groningen
[9] University of Southern Denmark,Department of Nuclear Medicine
来源：
La radiologia medica | 2020年 / 125卷
关键词：
Computed tomography (CT); Radiomics; Machine learning; Renal cell carcinoma; Fuhrman grading;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：754 / 762
页数：8
相关论文
共 50 条
  • [1] Noninvasive Fuhrman grading of clear cell renal cell carcinoma using computed tomography radiomic features and machine learning
    Nazari, Mostafa
    Shiri, Isaac
    Hajianfar, Ghasem
    Oveisi, Niki
    Abdollahi, Hamid
    Deevband, Mohammad Reza
    Oveisi, Mehrdad
    Zaidi, Habib
    RADIOLOGIA MEDICA, 2020, 125 (08): : 754 - 762
  • [2] Refining Fuhrman Nuclear Grading for Clear Cell Renal Cell Carcinoma
    Aydin, H.
    Elson, P.
    Sercia, L.
    Baehner, R.
    Rini, B.
    Zhou, M.
    LABORATORY INVESTIGATION, 2010, 90 : 177A - 177A
  • [3] Refining Fuhrman Nuclear Grading for Clear Cell Renal Cell Carcinoma
    Aydin, H.
    Elson, P.
    Sercia, L.
    Baehner, R.
    Rini, B.
    Zhou, M.
    MODERN PATHOLOGY, 2010, 23 : 177A - 177A
  • [4] SIMPLIFIED FUHRMAN GRADING SYSTEM IN CLEAR CELL RENAL CELL CARCINOMA
    Hong, Sung Kyu
    Jeong, Chang Wook
    Oh, Jong Jin
    Nam, Jung Soo
    Cho, In Rae
    Na, Woong
    Byun, Seok-Soo
    Choe, Gheeyoung
    Kwak, Cheol
    Kim, Hyeon Hoe
    Lee, Sang Eun
    JOURNAL OF UROLOGY, 2011, 185 (04): : E213 - E213
  • [5] Fuhrman Grade Classification of Clear-Cell Renal Cell Carcinoma Using Computed Tomography Image Analysis
    Meng, Fei
    Li, Xiao
    Zhou, Guohui
    Wang, Yuanyuan
    JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS, 2017, 7 (07) : 1671 - 1676
  • [6] Clear Cell Renal Cell Carcinoma: Machine Learning-Based Quantitative Computed Tomography Texture Analysis for Prediction of Fuhrman Nuclear Grade
    Ceyda Turan Bektas
    Burak Kocak
    Aytul Hande Yardimci
    Mehmet Hamza Turkcanoglu
    Ugur Yucetas
    Sevim Baykal Koca
    Cagri Erdim
    Ozgur Kilickesmez
    European Radiology, 2019, 29 : 1153 - 1163
  • [7] Clear Cell Renal Cell Carcinoma: Machine Learning-Based Quantitative Computed Tomography Texture Analysis for Prediction of Fuhrman Nuclear Grade
    Bektas, Ceyda Turan
    Kocak, Burak
    Yardimci, Aytul Hande
    Turkcanoglu, Mehmet Hamza
    Yucetas, Ugur
    Koca, Sevim Baykal
    Erdim, Cagri
    Kilickesmez, Ozgur
    EUROPEAN RADIOLOGY, 2019, 29 (03) : 1153 - 1163
  • [8] Grading of Clear Cell Renal Cell Carcinomas by Using Machine Learning Based on Artificial Neural Networks and Radiomic Signatures Extracted From Multidetector Computed Tomography Images
    He, Xiaopeng
    Wei, Yi
    Zhang, Hanmei
    Zhang, Tong
    Yuan, Fang
    Huang, Zixing
    Han, Fugang
    Song, Bin
    ACADEMIC RADIOLOGY, 2020, 27 (02) : 157 - 168
  • [9] ASSOCIATION OF COMPUTED TOMOGRAPHY-BASED RADIOMIC FEATURES WITH EPIGENETIC VARIATION OF CLEAR CELL RENAL CELL CARCINOMA USING DNA METHYLATION
    Duddalwar, Vinay
    Liang, Gangning
    Siegmund, Kim
    Cen, Steven
    Varghese, Bino
    Hwang, Darryl
    Desai, Bhushan
    Desai, Mihir
    Aron, Manju
    Gill, Inderbir
    JOURNAL OF UROLOGY, 2018, 199 (04): : E959 - E959
  • [10] Enhanced computed tomography radiomics-based machine-learning methods for predicting the Fuhrman grades of renal clear cell carcinoma
    Yin, Ruo-Han
    Yang, You-Chang
    Tang, Xiao-Qiang
    Shi, Hai-Feng
    Duan, Shao-Feng
    Pan, Chang-Jie
    JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY, 2021, 29 (06) : 1149 - 1160
12345