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Updated: May 27, 2026

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
Published on: December 15, 2014
Pearls and pitfalls in breast MRI
Abstract:
At our academic institution, we have noticed repeated examples of both false-positive and false-negative MR diagnoses in breast cancer. The most common diagnostic errors in interpreting MRI of the breast are discussed in this review and experience-based advice is provided to avoid similar mistakes. The most common reasons for false-positive diagnoses are misinterpretation of artefacts, confusion between normal enhancing structures and tumours and, above all, insufficient use of the American College of Radiology breast imaging reporting and data system lexicon, whereas false-negative diagnoses are made as a result of missed tiny enhancement, a background-enhancing breast, or enhancement interpreted as benign rather than malignant.
Insights
This review highlights common MRI errors in breast cancer diagnosis, offering advice to reduce false positives and negatives. Key issues include artifact misinterpretation and insufficient use of the Breast Imaging Reporting and Data System lexicon.
Area of Science:
- Radiology
- Oncology
- Medical Imaging
Background:
- Magnetic Resonance Imaging (MRI) is crucial for breast cancer diagnosis.
- Diagnostic errors, including false positives and false negatives, occur in breast MRI interpretation.
- These errors can lead to patient anxiety, unnecessary procedures, or delayed treatment.
Purpose of the Study:
- To review common causes of diagnostic errors in breast MRI.
- To provide practical advice for avoiding false-positive and false-negative interpretations.
- To improve the accuracy of breast cancer diagnosis using MRI.
Main Methods:
- Review of academic institution's experience with breast MRI diagnoses.
- Analysis of common patterns leading to misinterpretation.
- Discussion of diagnostic pitfalls and their avoidance.
Main Results:
- Common causes of false-positive breast MRI diagnoses include artifact misinterpretation, confusion with normal enhancing structures, and inadequate use of the American College of Radiology Breast Imaging Reporting and Data System (BI-RADS) lexicon.
- Common causes of false-negative breast MRI diagnoses involve missing subtle enhancement, misinterpreting background parenchymal enhancement, or incorrectly classifying enhancing lesions as benign.
- Experience-based recommendations are provided to mitigate these errors.
Conclusions:
- Accurate breast MRI interpretation requires careful attention to potential pitfalls.
- Adherence to standardized reporting systems like BI-RADS is essential.
- Implementing targeted strategies can significantly reduce diagnostic errors in breast MRI, improving patient outcomes.
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