BlueCross BlueShield of Tennessee Medical Policy Manual

Computer-Aided Detection of Malignancy with Magnetic Resonance Imaging of the Breast


The use of computer-aided detection (CAD), including computer algorithm analysis of MRI data for lesion detection/characterization, is proposed as a supplement to a radiologist’s interpretation of contrast-enhanced magnetic resonance imaging (MRI) of the breast.  CAD systems for MRI are intended to improve the specificity of MRI in detecting or measuring malignant tissue, while maintaining the generally high sensitivity of MRI.




Published well-designed, randomized, controlled trials are lacking; therefore, the evidence is insufficient to determine whether the use of computer-aided detection with MRI of the breast improves net health outcomes.


Dorrius, M.D., Weide, MJ-v, Ooijen, P.A., Pijnappel, R.M., & Oudkerk, M. (2011). Computer-aided detection in breast MRI: a systematic review and meta-analysis. European Radiology, 21 (8), 1600-1608. (Level 1 evidence)

eviCore healthcare® (2018, May) Breast imaging guidelines1.0.2018. Retrieved July 12, 2018 from (36 articles and/or guidelines reviewed)

Lehman C., Blume J., DeMartini W., Hylton, N., Herman, B., and Schnall, M. (2013) Accuracy and interpretation time of computer-aided detection among novice and experienced breast MRI readers. American Journal of Roentgenology, 200 (6), 683–689. (Level 2 evidence)

National Comprehensive Cancer Network (2017) NCCN Clinical Practice Guidelines in Oncology (NCCN Guidelines ®) Breast cancer V2.2017. Retrieved November 21, 2017 from




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