Assessing PD-L1 Expression Status Using Radiomic Features from Contrast-Enhanced Breast MRI in Breast Cancer Patients: Initial Results

SIMPLE SUMMARY: To our knowledge, this is the first study assessing radiomics coupled with machine learning from MRI-derived features to predict PD-L1 expression status in biopsy-proven triple negative breast cancers and comparing the performance of this approach with the performance of qualitative...

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Detalles Bibliográficos
Autores principales: Lo Gullo, Roberto, Wen, Hannah, Reiner, Jeffrey S., Hoda, Raza, Sevilimedu, Varadan, Martinez, Danny F., Thakur, Sunitha B., Jochelson, Maxine S., Gibbs, Peter, Pinker, Katja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8699819/
https://www.ncbi.nlm.nih.gov/pubmed/34944898
http://dx.doi.org/10.3390/cancers13246273

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8699819/
https://www.ncbi.nlm.nih.gov/pubmed/34944898
http://dx.doi.org/10.3390/cancers13246273

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