ecancermedicalscience

Research

Creating a sustainable and inexpensive dry animal training model for liver surgery in low- and middle-income countries

27 May 2025
Jeanine Justiniano, Ally H Mwanga, Daniel W Kitua, Nashivai E Kivuyo, Seif Wibonela, Cameron E Gaskill

Background: The growing global demand for surgical simulation training is particularly challenging in low- and middle-income countries (LMICs), where access to advanced technology is limited. Despite increasing demand for these services, hepatobiliary surgical training in LMICs is constrained by a need for more training facilities and experts. We, therefore, designed a feasible, cost-effective liver surgery training model using bovine liver. We hypothesise that this sustainable model can significantly enhance surgical training in LMICs.

Methods: A bovine liver was procured from a local slaughterhouse, with careful preservation of its vascular structures. The specimen was transported to the Muhimbili University of Health and Allied Sciences’ Laboratory and prepared using a back-table technique. Major vessels were connected to a water flow system, simulating near-physiological central venous and arterial pressures. These parameters were adjusted to mimic real-time effects, creating a training environment similar to that of an actual surgical candidate.

Findings: A partial hepatectomy was successfully performed using the crush-clamping technique. Hydrodynamic alterations and simulated bleeding were effectively managed through the Pringle maneuver, suture ligation and stick-tying techniques. The procedure was completed in approximately 1 hour, with an estimated blood loss of 700 mL.

Conclusion: An inexpensive, ethical and sustainable bovine liver model was designed for surgical training. This simulation can be easily replicated in training facilities across LMICs to enhance surgical education, particularly in hepatobiliary surgery.

Related Articles

Tooba Ali, Nasir Ali, Syed Aun Hasan, Nawazish Zehra, Laraib Khan, Maham Khan, Mariam Hina, Bilal Ahmed, Fabiha Shakeel, Ahmed Nadeem Abbasi, Bilal Mazhar Qureshi, Asim Hafiz, Maria Tariq, Sehrish Abrar
Panzardi Nicolás, Fernández-Alberti Joaquin, Schinoni Juan Pablo, Ares Jorge Hugo, Iotti Alejandro, Featherston Marcelo
Manuel Bazan, Claudia Gutiérrez-Villamil, Amalia Peix, Saurabh Malhotra, Fernando Dettori, Roberto N Agüero, Belén Flores, Claudio Tinoco Mesquita, Enrique Hiplan, Teresa Massardo, Isabel Berrocal, José A Coss, Verónica Gómez, María C Fonseca, Karla Abadí, Adriana Puente, Víctor Rosales, Luis F Chen, Yariela Herrera, Marina Arnal, Aurelio Mendoza, Omar Alonso, Jorge E Aguiar, Carla Cueva, Enrique Estrada, Diana Páez