An exploratory study of CT radiomics using differential network feature selection for WHO/ISUP grading and progression-free survival prediction of clear cell renal cell carcinoma

OBJECTIVES: To explore the feasibility of predicting the World Health Organization/International Society of Urological Pathology (WHO/ISUP) grade and progression-free survival (PFS) of clear cell renal cell cancer (ccRCC) using the radiomics features (RFs) based on the differential network feature s...

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Detalles Bibliográficos
Autores principales: Yin, Fu, Zhang, Haijie, Qi, Anqi, Zhu, Zexuan, Yang, Liyang, Wen, Ge, Xie, Weixin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9648858/
https://www.ncbi.nlm.nih.gov/pubmed/36387121
http://dx.doi.org/10.3389/fonc.2022.979613

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9648858/
https://www.ncbi.nlm.nih.gov/pubmed/36387121
http://dx.doi.org/10.3389/fonc.2022.979613

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