The Diffusion Tensor Imaging Properties of the Normal Testicles at 3 Tesla Magnetic Resonance Imaging

Publication date: Available online 13 October 2018

Source: Academic Radiology

Author(s): Noam Nissan, Debbie Anaby, Ido Tavor, Yeruham Kleinbaum, Zohar Dotan, Eli Konen, Orith Portnoy

Rationale and Objectives

The testicles are structured in a well-defined microtubular network formation, which is expected to be reflected in high anisotropic diffusivity. However, preliminary studies reported on low values of fractional-anisotropy (FA) in the normal testicles. Our aim was to design and apply a diffusion-tensor imaging (DTI) protocol in order to elucidate the diffusivity properties of the testicles and their determining factors.

Materials and Methods

16 healthy volunteers were prospectively scanned at 3T. The protocol included T₂-weighted and DTI sequences, the latter using 24 directional diffusion gradients and 3 b-values (0, 100, and 700 s/mm²) that were separated for analysis based on the reference b-value of 0 or 100 s/mm². Image processing of the two DTI datasets yielded the diffusion vector maps and parametric maps of their corresponding principal diffusion coefficients λ₁, λ₂, λ₃, mean diffusivity and FA.

Results

The results demonstrated the feasibility of DTI to provide parametric maps of the testicles. The diffusion tensor parameters obtained using the pair of 0 and 700 s/mm² b-values, exhibited relatively low diffusivity, with mean λ₁ values of 1.36 ± 0.21 × 10⁻³ mm²/s and low anisotropy, with mean FA values of 0.13 ± 0.05. Analysis of DTI using the 100 and 700 s/mm² b-values yielded a slight decrease in the diffusivity of 4%–5%, whereas FA remained similar.

Conclusion

The diffusivity of the normal testicles is relatively slow, closed-to isotropic and hardly affected by the low b-values regime exclusion. Thus, DTI parameters of the normal testicles are neither dictated by the underlying architectural anisotropy nor microperfusion effects.

from #Head and Neck by Sfakianakis via simeraentaxei on Inoreader https://ift.tt/2NFb5Ua