Quantitative MRI radiomics in the prediction of molecular classifications of breast cancer subtypes in the TCGA/TCIA data set

Using quantitative radiomics, we demonstrate that computer-extracted magnetic resonance (MR) image-based tumor phenotypes can be predictive of the molecular classification of invasive breast cancers. Radiomics analysis was performed on 91 MRIs of biopsy-proven invasive breast cancers from National C...

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Detalles Bibliográficos
Autores principales: Li, Hui, Zhu, Yitan, Burnside, Elizabeth S, Huang, Erich, Drukker, Karen, Hoadley, Katherine A, Fan, Cheng, Conzen, Suzanne D, Zuley, Margarita, Net, Jose M, Sutton, Elizabeth, Whitman, Gary J, Morris, Elizabeth, Perou, Charles M, Ji, Yuan, Giger, Maryellen L
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5108580/
https://www.ncbi.nlm.nih.gov/pubmed/27853751
http://dx.doi.org/10.1038/npjbcancer.2016.12

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5108580/
https://www.ncbi.nlm.nih.gov/pubmed/27853751
http://dx.doi.org/10.1038/npjbcancer.2016.12

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