Development of survival predictors for high-grade serous ovarian cancer based on stable radiomic features from computed tomography images

Less than 35% of advanced patients with high-grade serous ovarian cancer (HGSOC) survive for 5 years after diagnosis. Here, we developed radiomics-based models to predict HGSOC clinical outcomes using preoperative contrast-enhanced computed tomography (CECT) images. 891 radiomics features were extra...

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Detalles Bibliográficos
Autores principales: Hu, Jiaqi, Wang, Zhiwu, Zuo, Ruocheng, Zheng, Chengcai, Lu, Bingjian, Cheng, Xiaodong, Lu, Weiguo, Zhao, Chunhui, Liu, Pengyuan, Lu, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9254345/
https://www.ncbi.nlm.nih.gov/pubmed/35800777
http://dx.doi.org/10.1016/j.isci.2022.104628

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9254345/
https://www.ncbi.nlm.nih.gov/pubmed/35800777
http://dx.doi.org/10.1016/j.isci.2022.104628

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