Value of Radiomics Based on DCE-MRI in distinguishing benign and malignant breast lesions: Predicting Histological Grade and Lymph Node Metastasis of Breast Cancer

DCE-MRI-based radiomics can effectively differentiate benign and malignant breast lesions and has a predictive value for assessing histological grade and axillary lymph node status. Radiomic features may therefore serve as noninvasive imaging biomarkers to support breast cancer diagnosis, grading, and staging.

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Publication Details

Journal
Pakistan Journal of Medical Sciences
Published
2026-01-05
DOI
https://doi.org/10.12669/pjms.42.1.13121
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
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article

Value of Radiomics Based on DCE-MRI in distinguishing benign and malignant breast lesions: Predicting Histological Grade and Lymph Node Metastasis of Breast Cancer

Hui Xu, Peiru Li
Pakistan Journal of Medical Sciences
Radiomics and Machine Learning in Medical Imaging
article

Value of Radiomics Based on DCE-MRI in distinguishing benign and malignant breast lesions: Predicting Histological Grade and Lymph Node Metastasis of Breast Cancer

Hui Xu, Peiru Li
article en

Abstract

DCE-MRI-based radiomics can effectively differentiate benign and malignant breast lesions and has a predictive value for assessing histological grade and axillary lymph node status. Radiomic features may therefore serve as noninvasive imaging biomarkers to support breast cancer diagnosis, grading, and staging.

Pakistan Journal of Medical SciencesVol. 42(1)
Zigong First People's Hospital (CN), Anyang Hospital of Traditional Chinese Medicine (CN)
Good health and well-being
Openalex Percentile: Top 95%
Radiomics and Machine Learning in Medical Imaging
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