Probability of malignancy for lesions detected on breast MRI: a predictive model incorporating BI-RADS imaging features and patient characteristics

@article{Demartini2011ProbabilityOM,
  title={Probability of malignancy for lesions detected on breast MRI: a predictive model incorporating BI-RADS imaging features and patient characteristics},
  author={Wendy B Demartini and Brenda F. Kurland and Robert L. Gutierrez and Craig C. Blackmore and Sue Peacock and Constance D. Lehman},
  journal={European Radiology},
  year={2011},
  volume={21},
  pages={1609-1617}
}
To predict the probability of malignancy for MRI-detected breast lesions with a multivariate model incorporating patient and lesion characteristics. Retrospective review of 2565 breast MR examinations from 1/03–11/06. BI-RADS 3, 4 and 5 lesions initially detected on MRI for new cancer or high-risk screening were included and outcomes determined by imaging, biopsy or tumor registry linkage. Variables were indication for MRI, age, lesion size, BI-RADS lesion type and kinetics. Associations with… CONTINUE READING
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