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...

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Dades bibliogràfiques
Publicat a:Front Oncol
Autors principals: 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
Format: Artigo
Idioma:Inglês
Publicat: Frontiers Media S.A. 2021
Matèries:
Oncology
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC7905226/
https://ncbi.nlm.nih.gov/pubmed/33643908
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fonc.2020.606741
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