Radiomics Features Predict Telomerase Reverse Transcriptase Promoter Mutations in World Health Organization Grade II Gliomas via a Machine-Learning Approach

The detection of mutations in telomerase reverse transcriptase promoter (pTERT) is important since preoperative diagnosis of pTERT status helps with evaluating prognosis and determining the surgical strategy. Here, we aimed to establish a radiomics-based machine-learning algorithm and evaluated its...

Descripción completa

Detalles Bibliográficos
Autores principales: Fang, Shengyu, Fan, Ziwen, Sun, Zhiyan, Li, Yiming, Liu, Xing, Liang, Yuchao, Liu, Yukun, Zhou, Chunyao, Zhu, Qiang, Zhang, Hong, Li, Tianshi, Li, Shaowu, Jiang, Tao, Wang, Yinyan, Wang, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7905226/
https://www.ncbi.nlm.nih.gov/pubmed/33643908
http://dx.doi.org/10.3389/fonc.2020.606741

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7905226/
https://www.ncbi.nlm.nih.gov/pubmed/33643908
http://dx.doi.org/10.3389/fonc.2020.606741

Ejemplares similares