Three-Dimensional Liver Model Application for Liver Transplantation

Abstract

Background. Children are removed from the liver transplant waitlist because of death or progressive illness. Size mismatch accounts for 30% of organ refusal. This study aimed to demonstrate that 3-dimensional (3D) technology is a feasible and accurate adjunct to organ allocation and living donor selection process. Methods. This prospective multicenter study included pediatric liver transplant candidates and living donors from January 2020 to February 2023. Patient-specific, 3D-printed liver models were used for anatomic planning, real-time evaluation during organ procurement, and surgical navigation. The primary outcome was to determine model accuracy. The secondary outcome was to determine the impact of outcomes in living donor hepatectomy. Study groups were analyzed using propensity score matching with a retrospective cohort. Results. Twenty-eight recipients were included. The median percentage error was –0.6% for 3D models and had the highest correlation to the actual liver explant (Pearson’s R = 0.96, P < 0.001) compared with other volume calculation methods. Patient and graft survival were comparable. From 41 living donors, the median percentage error of the allograft was 12.4%. The donor-matched study group had lower central line utilization (21.4% versus 75%, P = 0.045), shorter length of stay (4 versus 7 d, P = 0.003), and lower mean comprehensive complication index (3 versus 21, P = 0.014). Conclusions. Three-dimensional volume is highly correlated with actual liver explant volume and may vary across different allografts for living donation. The addition of 3D-printed liver models during the transplant evaluation and organ procurement process is a feasible and safe adjunct to the perioperative decision-making process.

Training the Next Generation of Transplant Surgeons With a 3-Dimensional Trainer: A Pilot Study

“…The digital creation of this model is similar to prior reports of resin-based liver models. 22 Finally, the costs of these models were similar to those reported in other specialties, ranging between USD 2000 and 3000. 4 Although this may seem expensive at this moment, the delivery of healthcare value and the impact on the healthcare system are still unknown, and it may have a potential cost-saving if it can reduce surgical complications after implementation of these standardized simulations.…”