Application of the diffusion kurtosis model for the study of breast lesions

Abstract

Diffusion in breast lesions follows a non-Gaussian distribution. MK enables differentiation and characterisation of breast lesions, providing new insights into microstructural complexity. To confirm these results, further investigation in a broader sample should be performed.

Assessment of chemotherapy response in non-Hodgkin lymphoma involving the neck utilizing diffusion kurtosis imaging: a preliminary study

“…It is considered that this new imaging analysis method is more sensitive to reflect the complexity of tissue microstructure than the conventional monoexponential model (16,17). DKI has been demonstrated to be of great value when estimating the grading of many diseases, such as brain disorders (18,19), head and neck cancers (20), bladder cancers (21), prostate cancer (22), hepatocellular carcinoma (23), and breast lesions (24). Considering the microstructure of lymphoma, it is proposed that the non-Gaussian model could be a better predictor for the chemotherapy response in lesions.…”

Breast DWI at 3 T: influence of the fat-suppression technique on image quality and diagnostic performance

“…These were used to explore the non-Gaussian distribution of diffusion. 19 Considering that at 3 T a transverse relaxation time T2 of 71 AE 6 ms has been reported for normal fibroglandular tissue, 20 extending the TE from 78 to 106 and 108 ms, respectively for SPAIR and STIR, resulted in a signal loss of 34%. This was compensated for by increasing the number of excitations (NEX) to 3, resulting in a final SNR improvement of 17% and 14%, for SPAIR and STIR, respectively.…”

Improving malignancy prediction in breast lesions with the combination of apparent diffusion coefficient and dynamic contrast-enhanced kinetic descriptors

“…34 The higher b-values were used to investigate non-Gaussian diffusion of water in lesions. 35 Including higher b-values (2000 and 3000 s/mm 2 ) in the protocol resulted in prolonging the echo time (TE) from 78 to 106 ms. As the T2 relaxation time for normal glandular tissue is 71AE6 ms, 36 the predicted signal loss from using a longer TE is of 33%. To compensate for this, the number of excitations was increased to 3.…”