Multiparametric MR Imaging Radiomics Signatures for Assessing the Recurrence Risk of ER +/ HER2 − Breast Cancer Quantified With 21‐Gene Recurrence Score
Author:
Affiliation:
1. Department of Radiology Fudan University Shanghai Cancer Center Shanghai China
2. Department of Oncology, Shanghai Medical College Fudan University Shanghai China
3. Department of Pathology Fudan University Shanghai Cancer Center Shanghai China
Funder
National Natural Science Foundation of China
Shanghai Science and Technology Development Foundation
Publisher
Wiley
Subject
Radiology, Nuclear Medicine and imaging
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/jmri.28547
Reference40 articles.
1. Molecular portraits of human breast tumours
2. Gene-Expression Signatures in Breast Cancer
3. Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications
4. A Multigene Assay to Predict Recurrence of Tamoxifen-Treated, Node-Negative Breast Cancer
5. Adjuvant Chemotherapy Guided by a 21-Gene Expression Assay in Breast Cancer
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1. A Comprehensive Model Outperformed the Single Radiomics Model in Noninvasively Predicting the HER2 Status in Patients with Breast Cancer;Academic Radiology;2024-08
2. The added value of ultrasound imaging biomarkers to clinicopathological factors for the prediction of high-risk Oncotype DX recurrence scores in patients with breast cancer;Quantitative Imaging in Medicine and Surgery;2024-05
3. Artificial intelligence in breast imaging: potentials and challenges;Physics in Medicine & Biology;2023-11-28
4. MRI-Based Radiomics Approach Predicts Tumor Recurrence in ER + /HER2 − Early Breast Cancer Patients;Journal of Digital Imaging;2023-01-25
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