BACKGROUND AND OBJECTIVE: Given the large numbers of open breast biopsies performed in @entity1 who have benign breast masses, we developed a clinical decision rule (CDR), called BREASTAID, to triage @entity1 into open biopsy or follow-up. METHODS: A prospective cohort design was used to obtain data on 452 palpable breast masses evaluated at a referral clinic. @entity0 was @entity513 in situ or invasive @entity5 at open biopsy. Separate logistic regression models were developed at three logical stages of the clinical workup. Bayes' theorem was applied in a stepwise fashion to revise model probabilities to generate a final probability of @entity5 . Receiver operator characteristics curves were generated to determine the optimum cut-point. Results derived from the CDR were compared with actual clinical practice. RESULTS: A total of 452 masses in 380 @entity1 were included. Clinical practice resulted in 180 masses (39.8%) undergoing open biopsy, 41 (22.8%) of which were @entity5 . Age, history of @entity0 in the mother, mass size, mammography findings, and fine needle aspiration biopsy results were included in the final models. When applied to the derivation dataset, BREASTAID successfully identified 40 of 41 @entity5 masses (sensitivity 97.6%, 95% confidence interval [CI] 94.1-99.9), and 350 of 411 noncancer masses (specificity 85.2%, 95% CI 81.8-88.5). BREASTAID would have reduced the number of biopsies performed on the 411 benign masses from 139 to 61. CONCLUSIONS: This study demonstrated that a CDR based on routinely collected clinical variables has the potential to accurately triage @entity1 with palpable breast masses. Further validation of the rule is required before its clinical use can be considered.

Development of a clinical decision rule for triage of XXXX with palpable breast masses.

@entity1 :: ('9606', 'Species') :: ['women'] @entity513 :: ('MESH:D044584', 'Disease') :: ['defined as ductal carcinoma'] @entity0 :: ('MESH:D001943', 'Disease') :: ['Breast cancer', 'breast cancer'] @entity5 :: ('MESH:D009369', 'Disease') :: ['cancers', 'cancer']
@entity1 :: (9606,Species) :: ['women']
