Quantitative analysis of diffusion-weighted magnetic resonance imaging in malignant breast lesions using different b value combinations.
Line B Nilsen, Anne Fangberget, Oliver Geier, Therese Seierstad
Author Information
Line B Nilsen: Department of Radiation Biology, Norwegian Radium Hospital, Oslo University Hospital, P.O. Box 4959, Nydalen 0424, Oslo, Norway. line.nilsen2@rr-research.no
OBJECTIVES: To explore how apparent diffusion coefficients (ADCs) in malignant breast lesions are affected by selection of b values in the monoexponential model and to compare ADCs with diffusion coefficients (Ds) obtained from the biexponential model. METHODS: Twenty-four women (mean age 51.3 years) with locally advanced breast cancer were included in this study. Pre-treatment diffusion-weighted magnetic resonance imaging was performed using a 1.5-T system with b values of 0, 50, 100, 250 and 800 s/mm(2). Thirteen different b value combinations were used to derive individual monoexponential ADC maps. All b values were used in the biexponential model. RESULTS: Median ADC (including all b values) and D were 1.04 × 10(-3) mm(2)/s (range 0.82-1.61 × 10(-3) mm(2)/s) and 0.84 × 10(-3) mm(2)/s (range 0.17-1.56 × 10(-3) mm(2)/s), respectively. There was a strong positive correlation between ADCs and Ds. For clinically relevant b value combinations, maximum deviation between ADCs including and excluding low b values (<100 s/mm(2)) was 11.8 %. CONCLUSION: Selection of b values strongly affects ADCs of malignant breast lesions. However, by excluding low b values, ADCs approach biexponential Ds, demonstrating that microperfusion influences the diffusion signal. Thus, care should be taken when ADC calculation includes low b values.
