Multiphase Contrast-Enhanced CT-Based Machine Learning Models to Predict the Fuhrman Nuclear Grade of Clear Cell Renal Cell Carcinoma

OBJECTIVE: To investigate the predictive performance of different machine learning models for the discrimination of low and high nuclear grade clear cell renal cell carcinoma (ccRCC) by using multiphase computed tomography (CT)-based radiomic features. MATERIALS AND METHODS: A total of 137 consecuti...

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Detalles Bibliográficos
Autores principales: Lai, Shengsheng, Sun, Lei, Wu, Jialiang, Wei, Ruili, Luo, Shiwei, Ding, Wenshuang, Liu, Xilong, Yang, Ruimeng, Zhen, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7869703/
https://www.ncbi.nlm.nih.gov/pubmed/33568946
http://dx.doi.org/10.2147/CMAR.S290327

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7869703/
https://www.ncbi.nlm.nih.gov/pubmed/33568946
http://dx.doi.org/10.2147/CMAR.S290327

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