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Keywords:
Diagnostic procedure, MR-Diffusion/Perfusion, MR, Breast, Cancer
Authors:
I. Tsougos1, M. Vlychou1, M. Bakosis1, A. poultsidi1, D. Arvanitis1, C. Kappas1, I. Fezoulidis2, K. Vassiou2; 1Larissa/GR, 2Nikaia - Larissa/GR
DOI:
10.1594/ecr2016/C-1079
Results
ADC values of malignant lesions were significantly lower than benign lesions (benign: ADCDWI = 1,55 × 10-3 mm2/s and ADCDTI = 1,70 × 10-3 mm2/s),
(malignant: ADCDWI = 1,06 × 10-3 mm2/s and ADCDTI = 1,25 × 10-3 mm2/s,
p < 0,0001) and normal parenchyma (normal: ADCDWI = 1,78 × 10-3 mm2/s and ADCDTI = 2,01 × 10-3 mm2/s) p-values <0,0001.
The FA values showed high variation and hence moderate statistical significance.
Nevertheless the analysis of DTI vector maps and parametric maps,
revealed significantly lower values of the tumor’s orthogonal diffusion coefficients λ1,
λ2,
λ3 comparing to normal breast and benign tissue,
which might allow a more reliable differentiation of breast lesions.
As shown Table 1,
λ1 has significant difference between benign and malignant lesions (1.89±0.23 and 1.27±0.28 × 10-3 mm2/s respectively,
P<0.0001).
On the other hand,
the maximal absolute anisotropy index (λ1-λ3) had lower significance level (P = 0.607).
Figures 3 and 4 present the statistical analysis (demonstrated in box plots) for the calculated ADC and FA values of normal,
benign and malignant tissue.
The ADC values of malignant tissue were significantly lower than normal and benign tissue,
both from DWI (P<0.0001) and DTI (P<0.0001) .
Despite the significant overlap the FA values of malignant tissue were significantly higher than normal and benign tissue (p=0.002).
ROC curve analysis was also performed for every discrimination factor studied.
The ROC curves are presented in Figure 5 with the respective area under the curve for every factor.