Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Machine learning-based CT radiomics approach for predicting WHO/ISUP nuclear grade of clear cell renal cell carcinoma: an exploratory and comparative study
por: Xv, Yingjie, et al.
Publicado: (2021) -
Predicting the WHO/ISUP Grade of Clear Cell Renal Cell Carcinoma Through CT-Based Tumoral and Peritumoral Radiomics
por: Ma, Yanqing, et al.
Publicado: (2022) -
A CT-Based Radiomics Nomogram Integrated With Clinic-Radiological Features for Preoperatively Predicting WHO/ISUP Grade of Clear Cell Renal Cell Carcinoma
por: Xv, Yingjie, et al.
Publicado: (2021) -
Preoperative Predicting the WHO/ISUP Nuclear Grade of Clear Cell Renal Cell Carcinoma by Computed Tomography-Based Radiomics Features
por: Moldovanu, Claudia-Gabriela, et al.
Publicado: (2020) -
Multiphase CT radiomics nomogram for preoperatively predicting the WHO/ISUP nuclear grade of small (< 4 cm) clear cell renal cell carcinoma
por: Gao, Yankun, et al.
Publicado: (2023)