Multilayered Artificial Dura-Mater Models for a Minimally Invasive Brain Surgery Simulator

Mechanical Characterization and Standardization of Silicon Scalp and Dura Surrogates for Neurosurgical Simulation

BACKGROUND

Simulation-based neurosurgical training allows the development of surgical skills outside the operating room. However, the use of nonstandardized materials and poor haptic feedback remain the primary limitations of the surgical simulators. Therefore, this work proposes a comprehensive scheme for scalp and dura surrogate synthesis and their standardization for neurosurgical training.

METHODS

Eight different variants of silicone-based scalp (S1-S8) and dura (D1-D8) surrogates were synthesized. The samples were evaluated by 26 neurosurgeons. They provided their feedback in a Likert scale questionnaire. Kruskal-Wallis test with Dunn multiple comparisons was used for statistical analysis of surgeons' scores. The samples were mechanically characterized using Shore A hardness and dynamic nanoindentation testing.

RESULTS

The highest mean Likert score values were obtained for S3 scalp and D8 dura variants. The comparison of S3 and D8 with the rest of the variants in the respective groups was statistically significant in 21 of 28 instances. The average Shore A hardness and storage modulus of the S3 variant were 21.9 DU and 505.3 kPa, respectively. The corresponding values for the D8 variant were 32.5 DU and 632 kPa, respectively.

CONCLUSIONS

This study proposes a method for the synthesis, evaluation, and standardization of scalp and dura surrogates. The study achieved standardized silicone compositions along with a recommendable range of Shore hardness and viscoelastic moduli values for the scalp and dura surrogates. This work can be extended for the standardization of surrogates for other tissues involved in neurosurgical simulators.

Confocal Raman Micro-Spectroscopy for Discrimination of Glycerol Diffusivity in Ex Vivo Porcine Dura Mater

Dura mater (DM) is a connective tissue with dense collagen, which is a protective membrane surrounding the human brain. The optical clearing (OC) method was used to make DM more transparent, thereby allowing to increase in-depth investigation by confocal Raman micro-spectroscopy and estimate the diffusivity of 50% glycerol and water migration. Glycerol concentration was obtained, and the diffusion coefficient was calculated, which ranged from 9.6 × 10-6 to 3.0 × 10-5 cm2/s. Collagen-related Raman band intensities were significantly increased for all depths from 50 to 200 µm after treatment. In addition, the changes in water content during OC showed that 50% glycerol induces tissue dehydration. Weakly and strongly bound water types were found to be most concentrated, playing a major role in the glycerol-induced water flux and OC. Results show that OC is an efficient method for controlling the DM optical properties, thereby enhancing the in-depth probing for laser therapy and diagnostics of the brain. DM is a comparable to various collagen-containing tissues and organs, such as sclera of eyes and skin dermis.

Biomechanics of vascular areas of the human cranial dura mater

Accurate biomechanical properties of the human cranial dura mater are paramount for computational head models, artificial graft developments and biomechanical basic research. Yet, it is unclear whether areas of the dura containing meningeal vessels biomechanically differ from avascular areas. Here, 244 dura mater samples with or without vessels from 32 cadavers were tested in a quasi-static uniaxial tensile testing setup. The thicknesses of the meningeal and periosteal dura in vascular and avascular areas were histologically investigated in 36 samples using van Gieson staining. The elastic modulus of 112 MPa from dura samples containing vessels running transversely was significantly lower than samples with vessels running longitudinally (151 MPa; p < 0.001). The ultimate tensile strength of dura samples with transversely running vessels (11.1 MPa) was significantly lower in comparison to both avascular samples (14.9 MPa; p < 0.001) and samples with a longitudinally running vessel (15.0 MPa; p < 0.001). The maximum force of dura samples with longitudinally running vessels was 37 N (p < 0.001), this was significantly higher compared to the other groups which were 23 N (p < 0.001). The meningeal and periosteal dura layer thicknesses were not statistically different in avascular areas (p > 0.222). However, around the vessels, the meningeal dura layer was significantly thicker compared to the periosteal layer (p ≤ 0.019). The sum of the meningeal and periosteal layers was similar between vascular and avascular areas (p ≥ 0.071). Vascular areas of the human cranial dura mater withstand the same forces as avascular areas when being stretched. When stretched along the vessel, the dura-vessel composite can withstand even higher tensile forces compared to avascular areas. Vascular areas of the cranial dura mater seem to be similar when compared to avascular areas making their separate simulation in computational models non-essential.