Radiomics for prediction of radiation-induced lung injury and oncologic outcome after robotic stereotactic body radiotherapy of lung cancer: results from two independent institutions

OBJECTIVES: To generate and validate state-of-the-art radiomics models for prediction of radiation-induced lung injury and oncologic outcome in non-small cell lung cancer (NSCLC) patients treated with robotic stereotactic body radiation therapy (SBRT). METHODS: Radiomics models were generated from t...

Descripción completa

Detalles Bibliográficos
Autores principales: Bousabarah, Khaled, Blanck, Oliver, Temming, Susanne, Wilhelm, Maria-Lisa, Hoevels, Mauritius, Baus, Wolfgang W., Ruess, Daniel, Visser-Vandewalle, Veerle, Ruge, Maximilian I., Treuer, Harald, Kocher, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8052812/
https://www.ncbi.nlm.nih.gov/pubmed/33863358
http://dx.doi.org/10.1186/s13014-021-01805-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8052812/
https://www.ncbi.nlm.nih.gov/pubmed/33863358
http://dx.doi.org/10.1186/s13014-021-01805-6

Ejemplares similares