Cargando…
A whole slide image-based machine learning approach to predict ductal carcinoma in situ (DCIS) recurrence risk
BACKGROUND: Breast ductal carcinoma in situ (DCIS) represent approximately 20% of screen-detected breast cancers. The overall risk for DCIS patients treated with breast-conserving surgery stems almost exclusively from local recurrence. Although a mastectomy or adjuvant radiation can reduce recurrenc...
Autores principales: | Klimov, Sergey, Miligy, Islam M., Gertych, Arkadiusz, Jiang, Yi, Toss, Michael S., Rida, Padmashree, Ellis, Ian O., Green, Andrew, Krishnamurti, Uma, Rakha, Emad A., Aneja, Ritu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6664779/ https://www.ncbi.nlm.nih.gov/pubmed/31358020 http://dx.doi.org/10.1186/s13058-019-1165-5 |
Ejemplares similares
-
The frequency and clinical significance of DNA polymerase beta (POLβ) expression in breast ductal carcinoma in situ (DCIS)
por: Al-Kawaz, Abdulbaqi, et al.
Publicado: (2021) -
Prolyl-4-hydroxylase Α subunit 2 (P4HA2) expression is a predictor of poor outcome in breast ductal carcinoma in situ (DCIS)
por: Toss, Michael S., et al.
Publicado: (2018) -
The prognostic significance of Flap Endonuclease 1 (FEN1) in breast ductal carcinoma in situ
por: Al-Kawaz, Abdulbaqi, et al.
Publicado: (2021) -
Novel immunohistochemistry-based signatures to predict metastatic site of triple-negative breast cancers
por: Klimov, Sergey, et al.
Publicado: (2017) -
The clinical and biological significance of HER2 over-expression in breast ductal carcinoma in situ: a large study from a single institution
por: Miligy, Islam M., et al.
Publicado: (2019)