Assessment of androgen receptor expression in breast cancer patients using 18 F-FDG PET/CT radiomics and clinicopathological characteristics

OBJECTIVE: In the present study, we mainly aimed to predict the expression of androgen receptor (AR) in breast cancer (BC) patients by combing radiomic features and clinicopathological factors in a non-invasive machine learning way. MATERIALS AND METHODS: A total of 48 BC patients, who were initiall...

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Detalles Bibliográficos
Autores principales: Jia, Tongtong, Lv, Qingfu, Zhang, Bin, Yu, Chunjing, Sang, Shibiao, Deng, Shengming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10353086/
https://www.ncbi.nlm.nih.gov/pubmed/37460990
http://dx.doi.org/10.1186/s12880-023-01052-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10353086/
https://www.ncbi.nlm.nih.gov/pubmed/37460990
http://dx.doi.org/10.1186/s12880-023-01052-z

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