Prediction models of breast cancer molecular subtypes based on multimodal ultrasound and clinical features
Abstract Background and Aims Breast cancer classify into four molecular subtypes: Luminal A, Luminal B, HER2-overexpressing (HER2), and triple-negative (TNBC) based on immunohistochemical assessments. The multimodal ultrasound features correlate with biological biomarkers and molecular subtypes, fac...
Saved in:
| Main Authors: | Hui Li, Chang-tao Zhang, Hua-guo Shao, Lin Pan, Zhongyun Li, Min Wang, Shi-hao Xu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-05-01
|
| Series: | BMC Cancer |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12885-025-14233-6 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Molecular Subtypes of Breast Carcinoma and Their Association with Clinicopathological Features
by: Ambreen Bari, et al.
Published: (2025-01-01) -
Ultrasonography: an aid in molecular subtyping of breast carcinoma
by: Thakur Shruti, et al.
Published: (2025-01-01) -
Ultrasonography: an aid in molecular subtyping of breast carcinoma
by: Thakur Shruti, et al.
Published: (2025-01-01) -
A Multimodal Deep Learning Model for the Classification of Breast Cancer Subtypes
by: Chaima Ben Rabah, et al.
Published: (2025-04-01) -
A study on the impact of neoadjuvant therapy on molecular subtype conversion in breast cancer
by: Run-Ze Zhang, et al.
Published: (2025-04-01)