Feasibility of Differential Dose—Volume Histogram Features in Multivariate Prediction Model for Radiation Pneumonitis Occurrence

The purpose of this study is to introduce differential dose–volume histogram (dDVH) features into machine learning for radiation pneumonitis (RP) prediction and to demonstrate the predictive performance of the developed model based on integrated cumulative dose–volume histogram (cDVH) and dDVH featu...

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Detalles Bibliográficos
Autores principales: Katsuta, Yoshiyuki, Kadoya, Noriyuki, Sugai, Yuto, Katagiri, Yu, Yamamoto, Takaya, Takeda, Kazuya, Tanaka, Shohei, Jingu, Keiichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9221601/
https://www.ncbi.nlm.nih.gov/pubmed/35741164
http://dx.doi.org/10.3390/diagnostics12061354

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9221601/
https://www.ncbi.nlm.nih.gov/pubmed/35741164
http://dx.doi.org/10.3390/diagnostics12061354

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