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International Journal of Bioprinting                            Multifunctional hydrogel surgical training model

































                          Figure 1. Schematic illustration of (a) computer extraction of organ files and (b) models preparation process.

            the internal situation of the model more clearly and   organ structures and training functions, we can choose the
            accurately.                                        direct one-step casting or dip coating hydrogel materials
                                                               to construct the organ models, or we can select the two-
            2.12. Statistical analysis                         step method of first printing and then casting to prepare
            Software of Microsoft Excel 2016 was used to implement   relatively more complex organ models. Regarding this
            the statistical analysis. All the data were expressed as the   method, the internal structure of the organ model is first
            mean or means ± standard deviations (SD). The statistical   printed using water-soluble PVA filament, then embedded
            analysis was performed with a Student’s t-test. If the P value   in a mold with a slot and cured by injecting hydrogel pre-
            is lower than 0.05, the difference is considered significant.   polymer to get the final model. This solution is mainly used
            The number of samples is three in each test.       for  ultrasonic  inspection  of  the  training  model  because
                                                               the dissolved PVA filament and the hydrogel matrix part
            3. Results and discussion                          will have interface differences. The internal structure

            3.1. Preparation of hydrogel training models       distinction can be seen under ultrasonic. The model
            As shown in Figure 1a, anonymous medical digital image   preparation scheme is shown in Figure 1b.
            files were obtained using the MIMICS 23.0 system from
            3D computed tomography scans of the human abdomen,   3.2. Physicochemical and mechanical properties’
            and anatomical models of the liver, kidney, and pancreas   characterization of hydrogel training models
            were extracted and reconstructed. The extracted STL files   In this paper, we propose a DN elastomeric hydrogel with
            were imported  into  Magic 24,  where  the  models were   tissue softness to achieve target tissue-matched mechanical
            repaired  to  obtain  a  finer  structure.  Then,  the  OBJ  files   properties whose mechanical properties can be modulated
            were exported from Magic 24 and imported into Z Bush   in a wide range by adjusting the hydrogel composition
            for further modifications. Finally, mold naming was done   concentration and immersion time in ionic solutions.
            through NX 1899, and the positive and negative molds   Typically, pristine polyvinyl alcohol/polyacrylamide
            were designed according to the shape of the organ. The   (PVA/PAM) hydrogels are soft and have low strength.
            STL file of the designed mold was imported into Magic 24   The gel strength of PVA/PAM hydrogels was increased
            for further design of the support structure and positioning.   by immersion in a saturated NaCl aqueous solution.
            Next, the FDM 3D printer was used to print the molds   The effects of immersion time and PVA component
            based on the slice data, and after printing, the molds were   concentration on the mechanical properties of PVA/
            surface treated, and the support structures were removed.   PAM hydrogels were studied. The tested hydrogel samples
            Ultimately, according to the requirements of different   were named as X% PVA/PAM-Y h. X indicates the mass


            Volume 9 Issue 5 (2023)                        359                         https://doi.org/10.18063/ijb.766
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