Breast MRI: False-Negative Results and Missed Opportunities.
Katrina Esther KorhonenSamantha P ZuckermanSusan P WeinsteinJennifer TobeyJulia A BirnbaumElizabeth S McDonaldSally D HerschornPublished in: Radiographics : a review publication of the Radiological Society of North America, Inc (2021)
Breast MRI is the most sensitive modality for the detection of breast cancer. However, false-negative cases may occur, in which the cancer is not visualized at MRI and is instead diagnosed with another imaging modality. The authors describe the causes of false-negative breast MRI results, which can be categorized broadly as secondary to perceptual errors or cognitive errors, or nonvisualization secondary to nonenhancement of the tumor. Tips and strategies to avoid these errors are discussed. Perceptual errors occur when an abnormality is not prospectively identified, yet the examination is technically adequate. Careful development of thorough search patterns is critical to avoid these errors. Cognitive errors occur when an abnormality is identified but misinterpreted or mischaracterized as benign. The radiologist may avoid these errors by utilizing all available prior examinations for comparison, viewing images in all planes to better assess the margins and shapes of abnormalities, and appropriately integrating all available information from the contrast-enhanced, T2-weighted, and T1-weighted images as well as the clinical history. Despite this, false-negative cases are inevitable, as certain subtypes of breast cancer, including ductal carcinoma in situ, invasive lobular carcinoma, and certain well-differentiated invasive cancers, may demonstrate little to no enhancement at MRI, owing to differences in angiogenesis and neovascularity. MRI is a valuable diagnostic tool in breast imaging. However, MRI should continue to be used as a complementary modality, with mammography and US, in the detection of breast cancer. ©RSNA, 2021.
Keyphrases
- contrast enhanced
- magnetic resonance imaging
- diffusion weighted
- magnetic resonance
- computed tomography
- diffusion weighted imaging
- patient safety
- adverse drug
- high resolution
- emergency department
- deep learning
- photodynamic therapy
- working memory
- optical coherence tomography
- machine learning
- squamous cell carcinoma
- quality improvement
- dual energy
- endothelial cells
- loop mediated isothermal amplification
- network analysis
- fluorescence imaging