Dedicated Axillary MRI-Based Radiomics Analysis for the Prediction of Axillary Lymph Node Metastasis in Breast Cancer
Radiomics features may contribute to increased diagnostic performance of MRI in the prediction of axillary lymph node metastasis. The objective of the study was to predict preoperative axillary lymph node metastasis in breast cancer using clinical models and radiomics models based on T2-weighted (T2...
Main Authors: | Sanaz Samiei, Renée W. Y. Granzier, Abdalla Ibrahim, Sergey Primakov, Marc B. I. Lobbes, Regina G. H. Beets-Tan, Thiemo J. A. van Nijnatten, Sanne M. E. Engelen, Henry C. Woodruff, Marjolein L. Smidt |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-02-01
|
Series: | Cancers |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-6694/13/4/757 |
Similar Items
-
Development of High-Resolution Dedicated PET-Based Radiomics Machine Learning Model to Predict Axillary Lymph Node Status in Early-Stage Breast Cancer
by: Jingyi Cheng, et al.
Published: (2022-02-01) -
De-escalating axillary surgery in early-stage breast cancer
by: Eliza H. Hersh, et al.
Published: (2022-03-01) -
Reevaluating Axillary Lymph Node Dissection in Total Mastectomy for Low Axillary Burden Breast Cancer: Insights from a Meta-Analysis including the SINODAR-ONE Trial
by: Munaser Alamoodi, et al.
Published: (2024-02-01) -
Dynamic contrast-enhanced MRI radiomics nomogram for predicting axillary lymph node metastasis in breast cancer
by: Deling Song, et al.
Published: (2022-04-01) -
Diagnosis and Treatment of Axillary Web Syndrome: An Overview
by: Elan YANG, et al.
Published: (2020-06-01)