Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Assessment of Response to Neoadjuvant Systemic Treatment in Triple-Negative Breast Cancer Using Functional Tumor Volumes from Longitudinal Dynamic Contrast-Enhanced MRI
por: Panthi, Bikash, et al.
Publicado: (2023) -
Longitudinal dynamic contrast-enhanced MRI radiomic models for early prediction of response to neoadjuvant systemic therapy in triple-negative breast cancer
por: Panthi, Bikash, et al.
Publicado: (2023) -
Imaging of Noncalcified Ductal Carcinoma In Situ
por: Bragg, Ashley, et al.
Publicado: (2021) -
Deep Learning for Fully Automatic Tumor Segmentation on Serially Acquired Dynamic Contrast-Enhanced MRI Images of Triple-Negative Breast Cancer
por: Xu, Zhan, et al.
Publicado: (2023) -
Mimickers of breast malignancy: imaging findings, pathologic concordance and clinical management
por: Guirguis, Mary S., et al.
Publicado: (2021)