Can diffusion tensor anisotropy indices assist in breast cancer detection?
To evaluate whether the various anisotropy indices derived from breast diffusion tensor imaging (DTI) can characterize the healthy breast structure and differentiate cancer from normal breast tissue.



Six healthy volunteers and retrospectively selected 24 breast cancer patients were imaged at 3T. DTI included two b-values 0 and 700 sec/mm2with 20-64 gradient directions and TE of 120 or 90 msec. The normalized anisotropy indices: fractional anisotropy (FA), relative anisotropy (RA), and 1-volume ratio (1-VR), as well as the absolute maximal anisotropy index (λ1-λ3) were compared.



The spatial distribution of the various anisotropy indices in healthy volunteers exhibited a high congruence (Pearson correlation coefficients range: 0.79-1.0). All indices showed a statistically significant reduction (P < 0.001) following shortening of the diffusion time. Significantly lower λ1-λ3values were found in cancers as compared to normal breast tissue (P < 6.0 × 10-7), while the values of the normalized indices in cancers were not significantly different from those in normal breast tissue (P < 0.65 for FA, P < 0.6 for RA, and P < 0.2 for 1-VR). The contrast-to-noise ratio of λ1-λ3was significantly higher (P < 0.001) than those of the normalized anisotropy indices, and the area under the curve in a receiver operating characteristic analysis exhibited the highest value for λ1-λ3(0.89 ± 0.04 vs. 0.51-0.54 for the other anisotropy indices).



Water diffusion anisotropy in the healthy breast can be similarly mapped by the normalized indices and by λ1-λ3. However, the normalized anisotropy indices fail to differentiate cancer from normal breast tissue, whereas λ1-λ3can assist in differentiating cancer from normal breast tissue. J. Magn. Reson. Imaging 2016;44:1624-1632.
Departmentof Biological Services, Weizmann Institute of Science, Rehovot, Israel.
Edna
E
Furman-Haran
Department of Biological Regulation, Weizmann Institute of Science, Rehovot, Israel.
Dov
D
Grobgeld
Department of Biological Regulation, Weizmann Institute of Science, Rehovot, Israel.
Noam
N
Nissan
Department of Radiology, Meir Medical Center, Kfar Saba, Israel.
Myra
M
Shapiro-Feinberg
Department of Biological Regulation, Weizmann Institute of Science, Rehovot, Israel.
Hadassa
H
Degani
D000328:Adult; D000368:Aged; D016880:Anisotropy; D001943:Breast Neoplasms / Q000000981:diagnostic imaging* / Q000473:pathology*; D056324:Diffusion Tensor Imaging / Q000379:methods*; D005260:Female; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008875:Middle Aged; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity
breast cancer detection; breast diffusion tensor imaging; diffusion MRI; diffusion anisotropy