Quantitative MRI radiomics in the prediction of molecular classifications of breast cancer subtypes in the TCGA/TCIA data set-Reference-Cited by-同舟云学术

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

Published:2016-05-11 Issue:1 Volume:2 Page:
ISSN:2374-4677
Container-title:npj Breast Cancer
language:en
Short-container-title:npj Breast Cancer

Author:

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

Publisher

Springer Science and Business Media LLC

Subject

Pharmacology (medical),Radiology, Nuclear Medicine and imaging,Oncology

Link

http://www.nature.com/articles/npjbcancer201612.pdf

Reference59 articles.

1. Siegel, R., Ma, J., Zou, Z. & Jemal, A. Cancer statistics, 2014. CA Cancer J. Clin. 64, 9–29 (2014).

2. Carey, L. A. et al. Race, breast cancer subtypes, and survival in the Carolina Breast cancer study. JAMA 295, 2492–2502 (2006).

3. Voduc, K. D. et al. Breast cancer subtypes and the risk of local and regional relapse. J. Clin. Oncol. 28, 1684–1691 (2010).

4. Metzger-Filho, O. et al. Patterns of recurrence and outcome according to breast cancer subtypes in lymph node-negative disease: results from international breast cancer study group trials VIII and IX. J. Clin. Oncol. 31, 3083–3090 (2013).

5. Arvold, N. D. et al. Age, breast cancer subtype approximation, and local recurrence after breast-conserving therapy. J. Clin. Oncol. 29, 3885–3891 (2011).

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