2017
DOI: 10.1016/j.jbi.2017.04.011
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Automated annotation and classification of BI-RADS assessment from radiology reports

Abstract: The Breast Imaging Reporting and Data System (BI-RADS) was developed to reduce variation in the descriptions of findings. Manual analysis of breast radiology report data is challenging but is necessary for clinical and healthcare quality assurance activities. The objective of this study is to develop a natural language processing (NLP) system for automated BI-RADS categories extraction from breast radiology reports. We evaluated an existing rule-based NLP algorithm, and then we developed and evaluated our own … Show more

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Cited by 70 publications
(64 citation statements)
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“…In clinical practice, however, two-dimensional ultrasound manifestations of benign and malignant nodules sometimes share overlapping characteristics, especially in patients with small breast tumors. The BI-RADS classi cation system, which standardizes breast ultrasonography reporting worldwide [13], has been shown to improve the sensitivity of identifying malignant masses; however, the false-positive rate remains high [14].…”
Section: Discussionmentioning
confidence: 99%
“…In clinical practice, however, two-dimensional ultrasound manifestations of benign and malignant nodules sometimes share overlapping characteristics, especially in patients with small breast tumors. The BI-RADS classi cation system, which standardizes breast ultrasonography reporting worldwide [13], has been shown to improve the sensitivity of identifying malignant masses; however, the false-positive rate remains high [14].…”
Section: Discussionmentioning
confidence: 99%
“…However, in clinical practice, 2D US manifestations of benign and malignant nodules sometimes share overlapping characteristics, especially in patients with small breast tumors. The BI-RADS classi cation, which standardizes breast ultrasonography reporting worldwide [13], has been shown to improve the sensitivity of identifying malignant masses; however, the false-positive rate remains high [14].…”
Section: Discussionmentioning
confidence: 99%
“…In clinical practice, however, two-dimensional ultrasound manifestations of benign and malignant nodules sometimes share overlapping characteristics, especially in patients with small breast tumors. The BI-RADS classi cation system, which standardizes breast ultrasonography reporting worldwide [8], has been shown to improve the sensitivity of identifying malignant masses; however, the false-positive rate remains high [9].…”
Section: Discussionmentioning
confidence: 99%