Features of Undiagnosed Breast Cancers at Screening Breast MR Imaging and Potential Utility of Computer-Aided Evaluation.
- Author:
Mirinae SEO
1
;
Nariya CHO
;
Min Sun BAE
;
Hye Ryoung KOO
;
Won Hwa KIM
;
Su Hyun LEE
;
Ajung CHU
Author Information
- Publication Type:Original Article ; Research Support, Non-U.S. Gov't
- Keywords: False negative breast cancer; Magnetic resonance imaging; Computer-aided evaluation
- MeSH: Adult; Aged; Breast/*pathology; Breast Neoplasms/*diagnosis/pathology/radiography; Diagnosis, Computer-Assisted/*methods; False Negative Reactions; Female; Humans; Magnetic Resonance Imaging/*methods; Mammography/*methods; Middle Aged; Retrospective Studies
- From:Korean Journal of Radiology 2016;17(1):59-68
- CountryRepublic of Korea
- Language:English
- Abstract: OBJECTIVE: To retrospectively evaluate the features of undiagnosed breast cancers on prior screening breast magnetic resonance (MR) images in patients who were subsequently diagnosed with breast cancer, as well as the potential utility of MR-computer-aided evaluation (CAE). MATERIALS AND METHODS: Between March 2004 and May 2013, of the 72 consecutive pairs of prior negative MR images and subsequent MR images with diagnosed cancers (median interval, 32.8 months; range, 5.4-104.6 months), 36 (50%) had visible findings (mean size, 1.0 cm; range, 0.3-5.2 cm). The visible findings were divided into either actionable or underthreshold groups by the blinded review by 5 radiologists. MR imaging features, reasons for missed cancer, and MR-CAE features according to actionability were evaluated. RESULTS: Of the 36 visible findings on prior MR images, 33.3% (12 of 36) of the lesions were determined to be actionable and 66.7% (24 of 36) were underthreshold; 85.7% (6 of 7) of masses and 31.6% (6 of 19) of non-mass enhancements were classified as actionable lesions. Mimicking physiologic enhancements (27.8%, 10 of 36) and small lesion size (27.8%, 10 of 36) were the most common reasons for missed cancer. Actionable findings tended to show more washout or plateau kinetic patterns on MR-CAE than underthreshold findings, as the 100% of actionable findings and 46.7% of underthreshold findings showed washout or plateau (p = 0.008). CONCLUSION: MR-CAE has the potential for reducing the number of undiagnosed breast cancers on screening breast MR images, the majority of which are caused by mimicking physiologic enhancements or small lesion size.
