Using computer-extracted image phenotypes from tumors on breast magnetic resonance imaging to predict breast cancer pathologic stage
出版年份 2015 全文链接
标题
Using computer-extracted image phenotypes from tumors on breast magnetic resonance imaging to predict breast cancer pathologic stage
作者
关键词
-
出版物
CANCER
Volume 122, Issue 5, Pages 748-757
出版商
Wiley
发表日期
2015-11-30
DOI
10.1002/cncr.29791
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- MRI phenotype of breast cancer: Kinetic assessment for molecular subtypes
- (2015) Eric Blaschke et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Breast Cancer: Radiogenomic Biomarker Reveals Associations among Dynamic Contrast-enhanced MR Imaging, Long Noncoding RNA, and Metastasis
- (2015) Shota Yamamoto et al. RADIOLOGY
- TCGA-Assembler: open-source software for retrieving and processing TCGA data
- (2014) Yitan Zhu et al. NATURE METHODS
- Radiologist’s Role in Breast Cancer Staging: Providing Key Information for Clinicians
- (2014) Sandy C. Lee et al. RADIOGRAPHICS
- Molecular Classification of Infiltrating Breast Cancer: Toward Personalized Therapy
- (2014) Isabelle Trop et al. RADIOGRAPHICS
- Computerized Image Analysis for Identifying Triple-Negative Breast Cancers and Differentiating Them from Other Molecular Subtypes of Breast Cancer on Dynamic Contrast-enhanced MR Images: A Feasibility Study
- (2014) Shannon C. Agner et al. RADIOLOGY
- Radiogenomic Analysis of Breast Cancer: Luminal B Molecular Subtype Is Associated with Enhancement Dynamics at MR Imaging
- (2014) Maciej A. Mazurowski et al. RADIOLOGY
- Identification of Intrinsic Imaging Phenotypes for Breast Cancer Tumors: Preliminary Associations with Gene Expression Profiles
- (2014) Ahmed Bilal Ashraf et al. RADIOLOGY
- Preoperative MRI Improves Prediction of Extensive Occult Axillary Lymph Node Metastases in Breast Cancer Patients with a Positive Sentinel Lymph Node Biopsy
- (2013) Christopher Loiselle et al. ACADEMIC RADIOLOGY
- Identification and use of biomarkers in treatment strategies for triple-negative breast cancer subtypes
- (2013) Brian D Lehmann et al. JOURNAL OF PATHOLOGY
- Dynamic contrast-enhanced MRI-based biomarkers of therapeutic response in triple-negative breast cancer
- (2013) Daniel I Golden et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Personalizing Breast Cancer Staging by the Inclusion of ER, PR, and HER2
- (2013) Sanjay P. Bagaria et al. JAMA Surgery
- Triple-negative invasive breast cancer on dynamic contrast-enhanced and diffusion-weighted MR imaging: comparison with other breast cancer subtypes
- (2012) Ji Hyun Youk et al. EUROPEAN RADIOLOGY
- Novel Staging System for Predicting Disease-Specific Survival in Patients With Breast Cancer Treated With Surgery As the First Intervention: Time to Modify the Current American Joint Committee on Cancer Staging System
- (2011) Min Yi et al. JOURNAL OF CLINICAL ONCOLOGY
- Computerized three-class classification of MRI-based prognostic markers for breast cancer
- (2011) Neha Bhooshan et al. PHYSICS IN MEDICINE AND BIOLOGY
- Computerized Assessment of Breast Lesion Malignancy using DCE-MRI
- (2010) Weijie Chen et al. ACADEMIC RADIOLOGY
- Can Breast MRI Predict Axillary Lymph Node Metastasis in Women Undergoing Neoadjuvant Chemotherapy
- (2010) Sara Javid et al. ANNALS OF SURGICAL ONCOLOGY
- Cancerous Breast Lesions on Dynamic Contrast-enhanced MR Images: Computerized Characterization for Image-based Prognostic Markers
- (2010) Neha Bhooshan et al. RADIOLOGY
- Magnetic resonance imaging for axillary staging in patients with breast cancer
- (2009) Vincent E. Mortellaro et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started