A Radiomics Nomogram for Non-Invasive Prediction of Progression-Free Survival in Esophageal Squamous Cell Carcinoma

To construct a prognostic model for preoperative prediction on computed tomography (CT) images of esophageal squamous cell carcinoma (ESCC), we created radiomics signature with high throughput radiomics features extracted from CT images of 272 patients (204 in training and 68 in validation cohort)....

Descripción completa

Detalles Bibliográficos
Autores principales: Yan, Ting, Liu, Lili, Yan, Zhenpeng, Peng, Meilan, Wang, Qingyu, Zhang, Shan, Wang, Lu, Zhuang, Xiaofei, Liu, Huijuan, Ma, Yanchun, Wang, Bin, Cui, Yongping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9149002/
https://www.ncbi.nlm.nih.gov/pubmed/35651590
http://dx.doi.org/10.3389/fncom.2022.885091

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9149002/
https://www.ncbi.nlm.nih.gov/pubmed/35651590
http://dx.doi.org/10.3389/fncom.2022.885091

Ejemplares similares