Validated prediction model for positive resection margins in breast-conserving surgery based exclusively on preoperative data.

ABSTRACT: Positive margins after breast-conserving surgery (BCS) and subsequent second surgery are associated with increased costs and patient discomfort. The aim of this study was to develop a prediction model for positive margins based on risk factors available before surgery. Patients undergoing BCS for in situ or invasive cancer between 2015 and 2016 at site A formed a development cohort; those operated during 2017 in site A and B formed two validation cohorts. MRI was not used routinely. Preoperative radiographic and tumour characteristics and method of operation were collected from patient charts. Multivariable logistic regression was used to develop a prediction model for positive margins including variables with discriminatory capacity identified in a univariable model. The discrimination an

SUBMITTER: Ellbrant J 

PROVIDER: S-EPMC8493005 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature