{Reference Type}: Journal Article
{Title}: Advancement of 3D printing technology for the development of a training model in US-guided vesicoamniotic shunting for early LUTO therapy.
{Author}: Recker F;Schremmer T;Berg C;Schäfer VS;Strizek B;Jimenez-Cruz J;
{Journal}: Acta Obstet Gynecol Scand
{Volume}: 103
{Issue}: 8
{Year}: 2024 Aug 23
{Factor}: 4.544
{DOI}: 10.1111/aogs.14879
{Abstract}: BACKGROUND: Prenatal lower urinary tract obstruction (LUTO) is a rare and challenging condition with potential severe morbidity and mortality. Prenatal shunting methods, specifically vesicoamniotic shunting (VAS) and fetal cystoscopy, aim to manage this condition. However, comprehensive education and training are hindered by the rarity of LUTO. To address this gap, we present a low-cost 3D-printed ultrasound training model for VAS in LUTO fetuses. The aim of the study was to evaluate ultrasound and haptic fidelity of the model.
METHODS: Ultrasound images of three LUTO fetuses at 12-14 weeks were utilized to create detailed 3D-printed models. Fusion360TM software generated stereo-lithography files, and the Formlabs Form3® printer, using Flexible 80A resin, produced the models. A simulation box mimicking uterine conditions and fetal anatomy was developed for testing. Ultrasound assessments determined model accuracy, and expert evaluations gauged fidelity for VAS placement.
RESULTS: The 3D-printed model accurately replicated LUTO fetal anatomy, demonstrating structural integrity and realistic sonographic and haptic feedback during 20 punctures. Macroscopic visualization confirmed the model's durability and authenticity.
CONCLUSIONS: This innovative 3D-printed model addresses the scarcity of LUTO cases and the lack of realistic training tools. Simulation models enhance skills, providing a controlled learning environment that bridges theoretical knowledge and clinical application, potentially improving patient outcomes.
CONCLUSIONS: The 3D-printed training model for VAS in LUTO represents a significant advancement in surgical education, offering realistic anatomical simulation and tactile feedback. Future studies should assess its effectiveness in enhancing surgical skills and impacting patient outcomes in clinical practice.