An MRI-Based Radiomics Model for Predicting the Benignity and Malignancy of BI-RADS 4 Breast Lesions
ObjectivesThe probability of Breast Imaging Reporting and Data Systems (BI-RADS) 4 lesions being malignant is 2%–95%, which shows the difficulty to make a diagnosis. Radiomics models based on magnetic resonance imaging (MRI) can replace clinicopathological diagnosis with high performance. In the pre...
Main Authors: | Renzhi Zhang, Wei Wei, Rang Li, Jing Li, Zhuhuang Zhou, Menghang Ma, Rui Zhao, Xinming Zhao |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2022-01-01
|
Series: | Frontiers in Oncology |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2021.733260/full |
Similar Items
-
Classification of BI-RADS 3-5 Breast Lesions Based on MRI Radiomics
by: HAN Bing, et al.
Published: (2023-03-01) -
Nomograms for prediction of breast cancer in breast imaging reporting and data system (BI-RADS) ultrasound category 4 or 5 lesions: A single-center retrospective study based on radiomics features
by: Zhi-Liang Hong, et al.
Published: (2022-09-01) -
Radiomics Score Combined with ACR TI-RADS in Discriminating Benign and Malignant Thyroid Nodules Based on Ultrasound Images: A Retrospective Study
by: Peng Luo, et al.
Published: (2021-06-01) -
Identification of the Benignity and Malignancy of BI-RADS 4 Breast Lesions Based on a Combined Quantitative Model of Dynamic Contrast-Enhanced MRI and Intravoxel Incoherent Motion
by: Wenjuan Xu, et al.
Published: (2022-10-01) -
POSITIVE PREDICTIVE VALUES OF THE SONOGRAPHIC BI-RADS FINAL ASSESSMENT CATEGORIES FOR BREAST LESIONS
by: Betül Zengin, et al.
Published: (2013-07-01)