Standardized Process for Fabricating a Physical Trainer for Neonatal Pericardiocentesis and Thoracentesis and an Introduction to a Surgical Simulation Assistant Platform (1090-002178) (Technical Proceedings Manuscript Oral Presentations: Simulators, Task Trainers, Modifications)
Start time: Thursday, January 21, 2021, 3:00 PM End time: Thursday, January 21, 2021, 4:00 PM Session Type: Technical Proceedings
Neonatal pericardiocentesis and thoracentesis are low-volume, high-risk procedures, performed due to the presence of pleural effusion, cardiac tamponade and pneumothorax. Challenging diagnosis of these condition causes delayed intervention, hence superior skills are required to perform the procedures. There is a lack of neonatal simulators that can provide realistic complete anatomy and tactile experience. This paper presents a standardized process for fabricating a neonatal mannequin and an introduction to a virtual simulation training assistance platform (STAP). The paper describes the process and technology of converting virtual neonatal meshes obtained from segmentation of CT and MRI images to 3D printable models and molds to make realistic anatomy that can be assembled to a physical mannequin. Further, the step-by-step development of STAP to display, track, store and playback surgical actions performed on the physical mannequin is also explained. Experienced neonatologists gave a highly positive response during the preliminary testing of the mannequin in regards of tactile feedback, anatomical accuracy, realism and, the possibility to perform all the steps of the procedure. STAP’s ability to visualize surgical motions in 3D with respect to the virtual anatomy shows potential in enhancing simulation training and performance assessment. Compared to the existing research, this work successfully created operable 3D printed anatomy that could work for needle insertion. However, improvements need to be done on the mannequin to make it ultrasound compatible. STAP in the future will be given the ability to provide autonomous performance assessment developed based on the surgical action data collected.