Prediction of pathologic complete response to neoadjuvant systemic therapy in triple negative breast cancer using deep learning on multiparametric MRI

Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer. Neoadjuvant systemic therapy (NAST) followed by surgery are currently standard of care for TNBC with 50-60% of patients achieving pathologic complete response (pCR). We investigated ability of deep learning (DL) on dynam...

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Detalles Bibliográficos
Autores principales: Zhou, Zijian, Adrada, Beatriz E., Candelaria, Rosalind P., Elshafeey, Nabil A., Boge, Medine, Mohamed, Rania M., Pashapoor, Sanaz, Sun, Jia, Xu, Zhan, Panthi, Bikash, Son, Jong Bum, Guirguis, Mary S., Patel, Miral M., Whitman, Gary J., Moseley, Tanya W., Scoggins, Marion E., White, Jason B., Litton, Jennifer K., Valero, Vicente, Hunt, Kelly K., Tripathy, Debu, Yang, Wei, Wei, Peng, Yam, Clinton, Pagel, Mark D., Rauch, Gaiane M., Ma, Jingfei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9859781/
https://www.ncbi.nlm.nih.gov/pubmed/36670144
http://dx.doi.org/10.1038/s41598-023-27518-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9859781/
https://www.ncbi.nlm.nih.gov/pubmed/36670144
http://dx.doi.org/10.1038/s41598-023-27518-2

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