Radiomics Model for Predicting TP53 Status Using CT and Machine Learning Approach in Laryngeal Squamous Cell Carcinoma

OBJECTIVE: We aim to establish and validate computed tomography (CT)-based radiomics model for predicting TP53 status in patients with laryngeal squamous cell carcinoma (LSCC). METHODS: We divided all patients into a training set 1 (n=66) and a testing set 1 (n=30) to establish and validate radiomic...

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Detalles Bibliográficos
Autores principales: Tian, Ruxian, Li, Yumei, Jia, Chuanliang, Mou, Yakui, Zhang, Haicheng, Wu, Xinxin, Li, Jingjing, Yu, Guohua, Mao, Ning, Song, Xicheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9095903/
https://www.ncbi.nlm.nih.gov/pubmed/35574352
http://dx.doi.org/10.3389/fonc.2022.823428

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9095903/
https://www.ncbi.nlm.nih.gov/pubmed/35574352
http://dx.doi.org/10.3389/fonc.2022.823428

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