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Understanding BI-RADS for Breast MR | UCSF Radiology
Role of Clinical and Imaging Risk Factors in Predicting Breast Cancer Diagnosis Among BI-RADS 4 Cases - ScienceDirect
Tomography | Free Full-Text | 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
Role of BI‐RADS Ultrasound Subcategories 4A to 4C in Predicting Breast Cancer | Semantic Scholar
BI-RADS 4 breast lesions: could multi-mode ultrasound be helpful for their diagnosis? - Liu - Gland Surgery
The Radiology Assistant : Bi-RADS for Mammography and Ultrasound 2013
Can Contrast-Enhanced Spectral Mammography (CESM) Reduce Benign Breast Biopsy?
BIR Publications
Guide to Mammography Reports: BI-RADS Terminology | AAFP
Sensors | Free Full-Text | A High-Performance Deep Neural Network Model for BI-RADS Classification of Screening Mammography
MRI for the assessment of malignancy in BI-RADS 4 mammographic microcalcifications | PLOS ONE
BI-RADS 4 subcategories | Download Table
BI-RADS 4 and 5 lesions included in the final analysis. In 213... | Download Scientific Diagram
Simple rules for ultrasonographic subcategorization of BI-RADS®-US 4 breast masses - ScienceDirect
Revista Médica
TNM Staging and BI-RADS Grading for Breast Cancer
US of Breast Masses Categorized as BI-RADS 3, 4, and 5: Pictorial Review of Factors Influencing Clinical Management | RadioGraphics
Accuracy of subcategories A, B, C in BI-RADS 4 lesions by combined mammography and breast ultrasound findings | Semantic Scholar
BIRADS, Breast Ultrasound, mamography
Clinical Implications of Subcategorizing BI‐RADS 4 Breast Lesions associated with Microcalcification: A Radiology–Pathology Correlation Study - Sanders - 2010 - The Breast Journal - Wiley Online Library
Frontiers | Downgrade BI-RADS 4A Patients Using Nomogram Based on Breast Magnetic Resonance Imaging, Ultrasound, and Mammography
Predicting Breast Cancer in Breast Imaging Reporting and Data System (BI- RADS) Ultrasound Category 4 or 5 Lesions: A Nomogram Combining Radiomics and BI-RADS | Scientific Reports