Deep Learning Prediction of Pathologic Complete Response in Breast Cancer Using MRI and Other Clinical Data: A Systematic Review

Breast cancer patients who have pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) are more likely to have better clinical outcomes. The ability to predict which patient will respond to NAC early in the treatment course is important because it could help to minimize unnecessary t...

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Detalles Bibliográficos
Autores principales: Khan, Nabeeha, Adam, Richard, Huang, Pauline, Maldjian, Takouhie, Duong, Tim Q.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9680498/
https://www.ncbi.nlm.nih.gov/pubmed/36412691
http://dx.doi.org/10.3390/tomography8060232

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9680498/
https://www.ncbi.nlm.nih.gov/pubmed/36412691
http://dx.doi.org/10.3390/tomography8060232

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