Liver Phantoms Cast in 3D-Printed Mold for Image-Guided Procedures

Diagnostics (Basel). 2024 Jul 15;14(14):1521. doi: 10.3390/diagnostics14141521.

Abstract

Introduction: Image-guided invasive procedures on the liver require a steep learning curve to acquire the necessary skills. The best and safest way to achieve these skills is through hands-on courses that include simulations and phantoms of different complications, without any risks for patients. There are many liver phantoms on the market made of various materials; however, there are few multimodal liver phantoms, and only two are cast in a 3D-printed mold.

Methods: We created a virtual liver and 3D-printed mold by segmenting a CT scan. The InVesalius and Autodesk Fusion 360 software packages were used for segmentation and 3D modeling. Using this modular mold, we cast and tested silicone- and gelatin-based liver phantoms with tumor and vascular formations inside. We tested the gelatin liver phantoms for several procedures, including ultrasound diagnosis, elastography, fibroscan, ultrasound-guided biopsy, ultrasound-guided drainage, ultrasound-guided radio-frequency ablation, CT scan diagnosis, CT-ultrasound fusion, CT-guided biopsy, and MRI diagnosis. The phantoms were also used in hands-on ultrasound courses at four international congresses.

Results: We evaluated the feedback of 33 doctors regarding their experiences in using and learning on liver phantoms to validate our model for training in ultrasound procedures.

Conclusions: We validated our liver phantom solution, demonstrating its positive impact on the education of young doctors who can safely learn new procedures thus improving the outcomes of patients with different liver pathologies.

Keywords: diagnostic training; gelatin-based phantom; image guided; liver biopsy; liver mold; liver surgery; training; ultrasound guided.

Grants and funding

This research was supported by the project “New smart and adaptive robotics solutions for personalized minimally invasive surgery in cancer treatment”, ATHENA, funded by the European Union, NextGenerationEU, and the Romanian Government, under the National Recovery and Resilience Plan for Romania, contract no. 760072/23 May 2023, code CF 16/15 November 2022, and through the Romanian Ministry of Research, Innovation and Digitalization, within Component 9, investment I8.