A Simultaneous Multiparametric (18)F-FDG PET/MRI Radiomics Model for the Diagnosis of Triple Negative Breast Cancer

SIMPLE SUMMARY: In this study, we aimed to build a machine-learning predictive model for the identification of triple negative breast cancer, the most aggressive subtype, using quantitative parameters and radiomics features extracted from tumor lesions on hybrid PET/MRI. The good performance of the...

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Detalles Bibliográficos
Autores principales: Romeo, Valeria, Kapetas, Panagiotis, Clauser, Paola, Baltzer, Pascal A. T., Rasul, Sazan, Gibbs, Peter, Hacker, Marcus, Woitek, Ramona, Pinker, Katja, Helbich, Thomas H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9406327/
https://www.ncbi.nlm.nih.gov/pubmed/36010936
http://dx.doi.org/10.3390/cancers14163944

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9406327/
https://www.ncbi.nlm.nih.gov/pubmed/36010936
http://dx.doi.org/10.3390/cancers14163944

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