Prediction of prostate tumour hypoxia using pre-treatment MRI-derived radiomics: preliminary findings

PURPOSE: To develop a machine learning (ML) model based on radiomic features (RF) extracted from whole prostate gland magnetic resonance imaging (MRI) for prediction of tumour hypoxia pre-radiotherapy. MATERIAL AND METHODS: Consecutive patients with high-grade prostate cancer and pre-treatment MRI t...

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Detalles Bibliográficos
Autores principales: Zhong, Jim, Frood, Russell, McWilliam, Alan, Davey, Angela, Shortall, Jane, Swinton, Martin, Hulson, Oliver, West, Catharine M., Buckley, David, Brown, Sarah, Choudhury, Ananya, Hoskin, Peter, Henry, Ann, Scarsbrook, Andrew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Milan 2023
Materias:
Diagnostic Imaging in Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10264289/
https://www.ncbi.nlm.nih.gov/pubmed/37198374
http://dx.doi.org/10.1007/s11547-023-01644-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10264289/
https://www.ncbi.nlm.nih.gov/pubmed/37198374
http://dx.doi.org/10.1007/s11547-023-01644-3

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