A Risk Prediction Model by LASSO for Radiation-Induced Xerostomia in Patients With Nasopharyngeal Carcinoma Treated With Comprehensive Salivary Gland–Sparing Helical Tomotherapy Technique

OBJECTIVE: This study aimed to develop a least absolute shrinkage and selection operator (LASSO)-based multivariable normal tissue complication probability (NTCP) model to predict radiation-induced xerostomia in patients with nasopharyngeal carcinoma (NPC) treated with comprehensive salivary gland–s...

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Detalles Bibliográficos
Autores principales: Teng, Feng, Fan, Wenjun, Luo, Yanrong, Xu, Shouping, Gong, Hanshun, Ge, Ruigang, Zhang, Xinxin, Wang, Xiaoning, Ma, Lin
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/PMC7953987/
https://www.ncbi.nlm.nih.gov/pubmed/33718219
http://dx.doi.org/10.3389/fonc.2021.633556

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7953987/
https://www.ncbi.nlm.nih.gov/pubmed/33718219
http://dx.doi.org/10.3389/fonc.2021.633556

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