Quantitative MRI radiomics in the prediction of molecular classifications of breast cancer subtypes in the TCGA/TCIA data set
Hui Li(NorthShore University HealthSystem), Maryellen L. Giger(University of Chicago Medical Center), Gary J. Whitman(The University of Texas MD Anderson Cancer Center), Erich P. Huang(NorthShore University HealthSystem), Elizabeth J. Sutton(Memorial Sloan Kettering Cancer Center), Karen Drukker(NorthShore University HealthSystem), Elizabeth A. Morris(University of California Davis Medical Center), Margarita L. Zuley(University of Pittsburgh), Charles M. Perou(University of North Carolina at Chapel Hill), Jose Net(NorthShore University HealthSystem), Yuan Ji(Chicago Department of Public Health), Elizabeth S. Burnside(University of Wisconsin–Madison), Katherine A. Hoadley(University of North Carolina at Chapel Hill), Yitan Zhu(NorthShore University HealthSystem), Suzanne D. Conzen(Southwestern Medical Center)
Cited by 359
Related Papers
Pathological complete response and long-term clinical benefit in breast cancer: the CTNeoBC pooled analysis
|The Lancet|2014|4.7k
Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer
|Cell|2018|2.7k
Immunohistochemical and Clinical Characterization of the Basal-Like Subtype of Invasive Breast Carcinoma
|Clinical Cancer Research|2004|2.7k
American Cancer Society Guidelines for Breast Screening with MRI as an Adjunct to Mammography
|CA A Cancer Journal for Clinicians|2007|2.6k
Phenotypic and molecular characterization of the claudin-low intrinsic subtype of breast cancer
|Breast Cancer Research|2010|2.1k