Breast Imaging Reporting and Data System (BI-RADS)

Author:

D’Orsi Carl

Abstract

This chapter, devoted to the Breast Imaging Reporting and Data System (BI-RADS), describes the standardized language applied to findings in mammography, breast ultrasound, and breast MRI. BI-RADS terms most frequently used are described, and most are illustrated by figures. In addition, the rules for a facility and radiologist audit are described, with definitions of true positive (TP), false positive (FP), true negative (TN), and false negative (FN) findings. Sensitivity (Se), specificity (Sp), positive predictive values 1, 2, and 3 (PPV1, 2, 3), and cancer detection rate are defined. An example of an audit is provided to clarify the use of these metrics.

Publisher

Oxford University Press

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Tissue-Specific Color Encoding and GAN Synthesis for Enhanced Medical Image Generation;2023 IEEE International Conference on Big Data (BigData);2023-12-15

2. TR-BI-RADS: a novel dataset for BI-RADS based mammography classification;Neural Computing and Applications;2023-12-07

3. Breast-Density Semantic Segmentation with Probability Scaling for BI-RADS Assessment using DeepLabV3;Proceedings of the 14th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics;2023-09-03

4. Evaluation of two-year follow-up of patients with BI-RADS 3 breast ultrasound lesions in a single private ultrasound study;Advanced Biomedical Research;2023

5. Impact of Concatenation of Digital Craniocaudal Mammography Images on a Deep-Learning Breast-Density Classifier Using Inception-V3 and ViT;2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2022-12-06

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