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Method Article
This protocol describes a procedure for creating functional artificial neonatal heart models by utilizing a combination of magnetic resonance imaging, 3D printing, and injection molding. The purpose of these models is for integration into the next generation of neonatal patient simulators and as a tool for physiological and anatomical studies.
Neonatal patient simulators (NPS) are artificial patient surrogates used in the context of medical simulation training. Neonatologists and nursing staff practice clinical interventions such as chest compressions to ensure patient survival in the case of bradycardia or cardiac arrest. The simulators used currently are of low physical fidelity and therefore cannot provide qualitative insight into the procedure of chest compressions. The embedding of an anatomically realistic heart model in future simulators enables the detection of cardiac output generated during chest compressions; this can provide clinicians with an output parameter, which can deepen the understanding of the effect of the compressions in relation to the amount of blood flow generated. Before this monitoring can be achieved, an anatomically realistic heart model must be created containing: two atria, two ventricles, four heart valves, pulmonary veins and arteries, and systemic veins and arteries. This protocol describes the procedure for creating such a functional artificial neonatal heart model by utilizing a combination of magnetic resonance imaging (MRI), 3D printing, and casting in the form of cold injection molding. Using this method with flexible 3D printed inner molds in the injection molding process, an anatomically realistic heart model can be obtained.
Every year millions of neonates are admitted to neonatal intensive care units (NICU). In NICUs, most emergencies relate to problems in the airway, breathing, and circulation (ABC) and require interventions such as chest compressions. NPS offer a valuable teaching and training tool to practice such interventions. For some NPS, embedded sensors can detect whether performance meets the recommended clinical guidelines1 for depth and speed of chest compressions. The adherence to guidelines can be used to calculate and quantify performance, and in this regard, such state of the art NPS can be viewed as a tangible and white box metric for evaluating performance.
Adherence to the recommended guidelines aims at improving patient physiology. For example, chest compressions are delivered with the aim of generating adequate blood flow in the circulatory system. Current high fidelity NPS (e.g., PremieAnne (Laerdal, Stavanger, Norway) and Paul (SIMCharacters, Vienna, Austria)), do not contain any sensors to measure physiological parameters such as blood flow during training as they lack an integrated heart to generate this physiological parameter. Efficacy of chest compressions in current NPS can therefore not be assessed at a physiological level. For NPS to enable physiological assessment of chest compressions, an anatomically realistic artificial heart has to be integrated into the NPS. Furthermore, research2 shows that an increase in physical anatomical fidelity may lead to an increase in functional fidelity of NPS. Integrating a physically high-fidelity organ system would benefit both the functional fidelity of training and enable physiological performance assessment.
A substantial increase in the fidelity of NPS can be achieved through 3D printing. In medicine, 3D imaging and printing are mostly used for surgical preparation and creation of implants3,4,5. For example, in the field of surgical simulation, organs are produced to train surgeons on performing surgical procedures6. The possibilities of 3D printing have not yet been extensively applied in NPS. The combination of 3D imaging and 3D printing opens the possibility for NPS to reach a higher level of physical fidelity. The replication of sophisticated, flexible, neonatal organs such as the heart becomes possible due to the ever-broadening range of techniques and materials used for 3D printing7.
In this paper, we detail a protocol for creating a functional, artificial neonatal heart using a combination of MRI, 3D printing, and cold injection molding. The heart model in this paper includes two atria, two ventricles, four functional valves, and pulmonary and systemic arteries and veins all produced from a single silicone cast. The heart model can be filled with a liquid, equipped with sensors, and used as output parameter generator (i.e., blood pressure or cardiac output during chest compressions, and valve functionality).
All institutional approvals were obtained before patient imaging.
1. Image Acquisition and Segmentation
2. Processing and Mold Printing
3. Cold Injection Molding and Finishing
This study details a method to create an anatomically realistic neonatal heart model combining MRI imaging, 3D printing, and cold injection molding. The ductus arteriosus as well as foramen ovale were not included in the heart model presented in this paper. The method described in this paper can also be applied to other internal organs, such as lungs, and rib cage structures. Rib cage structures require no molds and can be printed directly using flexible materials. In (
For the model developed in this study, we identified that injection molding over a 3-min period is required to prevent air entering the cast (Figure 5, Figure 6). To ensure that silicone reaches the narrow spaces of the valves, "pre-casting" or "coating" of the valve areas in the mold is essential. Since the inner molds shaping the heart chambers have to exit the final silicone cast through 5 mm openings, multi-material 3D printing for molds is n...
The authors declare no potential conflicts of interest concerning research, authorship, and publication of this article. This research received no specific grant from any funding agency in public, commercial, or not-for-profit sectors.
This research was performed within the Dutch framework of IMPULS perinatology. The authors would like to thank the Radboud UMCN Museum for Anatomy and Pathology and the Máxima Medical Centre Veldhoven for providing the neonatal MRI scans used for this work. The authors further would like to thank Jasper Sterk, Sanne van der Linden, Frederique de Jongh, Pleun Alkemade, and the D.search lab at the faculty of Industrial Design for their significant contributions to the development of this research. Lastly the authors would like to thank Rohan Joshi for his proof reading of the manuscript.
Name | Company | Catalog Number | Comments |
Ecoflex 5 | Smooth-on | Silicon casting material | |
400ml Static mixers | Smooth-on | Mixing tubes | |
Manual dispensing gun | Smooth-on | Used for injection molding | |
5-56 PTFE spray | CRC | Release agent for the molds | |
Sodium-hydroxide | N/A | This was purchased as caustic soda at the hardware store, in dry, 99% pure form. As it is widely available, there is no company specified | |
VeroWhite | Stratasys | The hard material used in the print | |
TangoBlackPlus | Stratasys | The rubber material used in the print | |
Support Material | Stratasys | The standard support material used by stratasys | |
Magill Forceps | GIMA | Infant size. This is for removing the inner molds | |
Stratasys Connex 350 | Stratasys | If this machine is not owned, another option is to have the parts printed through a third party printing firm such as 3D-hubs to get the parts printed and shipped. | |
Balco Powerblast (Water Jet) | Stratasys | ||
Euro 8-24 Set P (Air Compressor) | iSC | 4007292 | |
Syringe with blunt needle | N/A | A 20ml syringe with a 0.5mm diameter blunt needle. | |
Mimics 17.0 software | Materialise | This software was used to segment the heart model from the MRI. There are sevaral free MRI imaging software tools available such as InVesalius, or Osirix, although they may prove to provide less functionality. | |
Magics 9.0 software | Materialise | This was used to repair and smooth the .stl files generated by mimics. This smoothing can also be done in most other 3D modeling freeware. | |
Solidworks | Software used for editting the heart model. Most other freeware CAD software can be used to perform this stage of processing. |
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