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A Deep Learning-Based Decision Support Tool for Precision Risk Assessment of Breast Cancer.

著者 He T , Puppala M , Ezeana CF , Huang YS , Chou PH , Yu X , Chen S , Wang L , Yin Z , Danforth RL , Ensor J , Chang J , Patel T , Wong STC
JCO Clin Cancer Inform.2019 May ; (3):1-12.
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The Breast Imaging Reporting and Data System (BI-RADS) lexicon was developed to standardize mammographic reporting to assess cancer risk and facilitate the decision to biopsy. Because of substantial interobserver variability in the application of the BI-RADS lexicon, the decision to biopsy varies greatly and results in overdiagnosis and excessive biopsies. The false-positive rate from mammograms is estimated to be 7% to approximately 10% overall, but within the BI-RADS 4 category, it is greater than 70%. Therefore, we developed the Breast Cancer Risk Calculator (BRISK) to target a well-characterized and specific patient subgroup (BI-RADS 4) rather than a broad heterogeneous group in assessing breast cancer risk.
PMID: 31141423 [PubMed - in process]
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