Improving Breast MRI Diagnosis with Diffusion Weighted Imaging
Author Information
Author(s): Biswas Debosmita, Hippe Daniel S., Winter Andrea M., Li Isabella, Rahbar Habib, Partridge Savannah C.
Primary Institution: University of Washington
Hypothesis
Different lesion ADC measurement approaches and ADC cutoffs will affect the diagnostic performance of breast DWI in a high-risk MRI screening cohort.
Conclusion
The study found that various ADC measurement techniques can significantly distinguish between benign and malignant breast lesions and reduce unnecessary biopsies.
Supporting Evidence
- Hotspot ADC measures were significantly lower than ADCs from both 2D and 3D ROI techniques.
- Applying the optimal data-derived ADC cutoffs resulted in comparable reduction in benign biopsies across ROI techniques.
- Applying prespecified ADC cutoffs resulted in benign biopsy reduction rates of 11.2-51.4%.
Takeaway
This study shows that using special imaging techniques can help doctors tell if a breast lump is cancerous or not, which can prevent unnecessary surgeries.
Methodology
The study retrospectively evaluated consecutive screening breast MRI examinations that prompted a biopsy for suspicious lesions, comparing different ADC measurement techniques.
Potential Biases
Potential bias due to the retrospective nature of the study and the use of custom software for measurements.
Limitations
The study did not explore alternate b-value schemas and focused primarily on mean ADC values without considering noise effects.
Participant Demographics
121 women with a median age of 44 years (range, 20-75 years); 86.2% White, 6.0% Asian, 1.7% Black.
Statistical Information
P-Value
p<0.001
Confidence Interval
95% CI: 0.55-0.79
Statistical Significance
p<0.001
Digital Object Identifier (DOI)
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