A nomogram for diagnosis of BI-RADS 4 breast nodules based on three-dimensional volume ultrasound
Abstract Objectives The classification of malignant breast nodules into four categories according to the Breast Imaging Reporting and Data System (BI-RADS) presents significant variability, posing challenges in clinical diagnosis. This study investigates whether a nomogram prediction model incorpora...
Saved in:
| Main Authors: | Xianping Jiang, Chen Chen, Jincao Yao, Liping Wang, Chen Yang, Wei Li, Di Ou, Zhiyan Jin, Yuanzhen Liu, Chanjuan Peng, Yifan Wang, Dong Xu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-02-01
|
| Series: | BMC Medical Imaging |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12880-025-01580-w |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
BI-RADS 4 and 5 breast lesions: correlation between sonographic findings and histopathological results following ultrasound-guided FNAC
by: Abdullateef Aliasghar Mustafa
Published: (2014-08-01) -
Building radiomics models based on ACR TI-RADS combining clinical features for discriminating benign and malignant thyroid nodules
by: Xingxing Chen, et al.
Published: (2025-07-01) -
Diagnostic value of BI-RADS categories in the management of patients with benign breast pathology
by: G. P. Korzhenkova
Published: (2017-02-01) -
Analysis of Mammography BI-RADS Distribution and Follow-up Ultrasound Assessment: A Single-Center Study
by: Kankaya B, et al.
Published: (2025-02-01) -
Stratifying Breast Lesion Risk Using BI-RADS: A Correlative Study of Imaging and Histopathology
by: Sebastian Ciurescu, et al.
Published: (2025-07-01)