Using baseline MRI radiomics to predict the tumor shrinkage patterns in HR-Positive, HER2-Negative Breast Cancer
IntroductionThis study aimed to develop and validate a predictive model for tumor shrinkage patterns in hormone receptor-positive, HER2-negative (HR+/HER2-) breast cancer patients undergoing neoadjuvant chemotherapy (NAC).MethodsA retrospective analysis was conducted on 227 HR+/HER2- breast cancer p...
Saved in:
Main Authors: | Lijia Wang, Yongchen Wang, Li Yang, Jialiang Ren, Qian Xu, Yingmin Zhai, Tao Zhou |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2025-07-01
|
Series: | Frontiers in Oncology |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2025.1539644/full |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Development and validation of MRI-based radiomics model for clinical symptom stratification of extrinsic adenomyosis
by: Man Sun, et al.
Published: (2025-12-01) -
Baseline MRI habitat imaging for predicting treatment response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer
by: Muzhen He, et al.
Published: (2025-07-01) -
Radiomics of magnetic resonance imaging for assessment of pathological complete response to neoadjuvant therapy and long-term survival in breast cancer
by: N. V. Petrova, et al.
Published: (2023-09-01) -
MRI-Based Machine Learning and Radiomics Methods for Assessing Spinal Cord Function in Patients with Mild Cervical Spondylotic Myelopathy
by: He Wang, et al.
Published: (2025-06-01) -
Normalization Strategies in Multi-Center Radiomics Abdominal MRI: Systematic Review and Meta-Analyses
by: Jovana Panic, et al.
Published: (2023-01-01)