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3D Printing of Preoperative Simulation Models of a Splenic Artery Aneurysm

Rationale and Objectives

Three-dimensional (3D) printing is attracting increasing attention in the medical field. This study aimed to apply 3D printing to the production of hollow splenic artery aneurysm models for use in the simulation of endovascular treatment, and to evaluate the precision and accuracy of the simulation model.

Materials and Methods

From 3D computed tomography (CT) angiography data of a splenic artery aneurysm, 10 hollow models reproducing the vascular lumen were created using a fused deposition modeling-type desktop 3D printer. After filling with water, each model was scanned using T2-weighted magnetic resonance imaging for the evaluation of the lumen. All images were coregistered, binarized, and then combined to create an overlap map. The cross-sectional area of the splenic artery aneurysm and its standard deviation (SD) were calculated perpendicular to the x - and y -axes.

Results

Most voxels overlapped among the models. The cross-sectional areas were similar among the models, with SDs <0.05 cm 2 . The mean cross-sectional areas of the splenic artery aneurysm were slightly smaller than those calculated from the original mask images. The maximum mean cross-sectional areas calculated perpendicular to the x - and y -axes were 3.90 cm 2 (SD, 0.02) and 4.33 cm 2 (SD, 0.02), whereas those calculated from the original mask images were 4.14 cm 2 and 4.66 cm 2 , respectively. The mean cross-sectional areas of the afferent artery were, however, almost the same as those calculated from the original mask images.

Conclusion

The results suggest that 3D simulation modeling of a visceral artery aneurysm using a fused deposition modeling-type desktop 3D printer and computed tomography angiography data is highly precise and accurate.

Introduction

Three-dimensional (3D) printing, also known as additive manufacturing or rapid prototyping, is a technology in which a 3D object is synthesized from digital data. 3D printing is attracting increasing attention in the medical field. Although a range of 3D printing techniques, including stereolithography (STL), selective laser sintering, inkjet printing, and fused deposition modeling (FDM), have been developed for industrial use, cost and speed are important considerations for the clinical “bedside” application of the technique. In FDM, one of the most widely used and least costly techniques, a 3D model is built on a layer-by-layer basis by extruding a melted filament of thermoplastic material from a nozzle.

The safety and effectiveness of interventional radiology procedures depend on the operator’s experience and the extent of understanding of the patient’s anatomy. In this regard, it would be useful if 3D printing could be applied to the preoperative simulation of the anatomy relevant to interventional radiology procedures. Previous studies have investigated the application of 3D printing to the production of hollow intracranial aneurysm models for the simulation of surgical and endovascular treatments . However, its application to visceral artery aneurysms has been extremely limited . Because of the way it works, it is difficult to construct complex structures such as hollow vascular models compared to simpler structures. For success in pre-procedure simulation and subsequent treatment, the model must precisely and accurately resemble the anatomic feature; however, to our knowledge, no study has evaluated the precision of aneurysm models.

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Materials and Methods

Model Fabrication

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Figure 1, A 66-year-old man with a 2-cm splenic artery aneurysm. Maximum intensity projection (MIP) images created from the original computed tomography (CT) angiography data (left) and from T2-weighted magnetic resonance (MR) data of a 3D-printed hollow aneurysm model filled with water (right).

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Figure 2, Summary of the steps for producing hollow splenic artery aneurysm models.

Figure 3, (Right) Hollow model of the splenic artery aneurysm reproducing the vascular lumen inside. (Middle) Partly created hollow splenic artery aneurysm model. (Left) Solid model of the splenic artery aneurysm lumen created for reference.

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Model Evaluation

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Results

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Figure 4, Overlap maps demonstrate the extent to which the models overlap. The color bar represents the percentage of overlapping models at each voxel. (Color version of figure is available online.)

Figure 5, Cross-sectional area of the splenic artery aneurysm perpendicular to the x - and y -axes (top and right, respectively). Each solid line represents the cross-sectional area calculated for each model. Each dotted line represents the cross-sectional area calculated from the original mask images.

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Discussion

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Acknowledgments

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References

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