Application of 3D printing in individualized treatment of intracranial aneurysms
Sen Wang1, Qing Huang1, Jing Yuan2, HongBing Zhang1, Nan Yang3, Zhicheng Pang3
1 Department of Neurosurgery, Beijing Luhe Hospital Affiliated to Capital Medical University, Beijing, China
2 Department of Radiotherapy, Beijing Luhe Hospital Affiliated to Capital Medical University, Beijing, China
3 Capital Medical University, Beijing, China
Correspondence Address:
Qing Huang
Department of Neurosurgery, Beijing Luhe Hospital Affiliated to Capital Medical University, Beijing
China
Source of Support: None, Conflict of Interest: None
CheckDOI: 10.4103/aian.aian_133_22
It is well known that intracranial aneurysm is a very dangerous cerebrovascular disease,[1] which can cause recurrent subarachnoid hemorrhage, and the rates of death and disability are high.[2] Currently, clipping surgery and endovascular embolization are used to treat intracranial aneurysms.[3] Aneurysm clipping surgery is very difficult due to the ever-changing aneurysm morphology, complex peripheral vascular structure, and extremely irregular surrounding skull base bone.[4] Therefore, the success of aneurysm clipping surgery depends on if we can get the information as much as possible.[5]
With the development of digital medicine, three-dimensional (3D) printing technology applications have been paid more and more attention in the medical field,[6] the technology has been widely used in bone,[7] oral surgery,[8] and blood vessels.[9],[10] Studies have shown that 3D printing has significant application value in intracranial aneurysm models of clinical teaching, operation simulation, and accurate operation scheme of the path of the formulation.[11],[12],[13],[14],[15],[16] In this study, 3D printing technology was used to construct the craniocerebral anatomy model of patients with a cerebral aneurysm, and the model was simulated before the operation by surgeons.[17] By comparing the operative time, hospitalization time, and postoperative neurological function recovery of patients with intraoperative aneurysms,[18] the application effect of preoperative simulation using a 3D printing model in aneurysm clipping surgery was evaluated.
Materials and MethodsFrom February 2017 to February 2019, 72 patients with cerebral aneurysms received in our neurosurgery department were randomly divided into the 3D printing simulation group and the conventional aneurysm clipping surgery group. Simulation group: A 3D model simulation group of aneurysm patients was used to simulate the operation of the aneurysm using the craniocerebral holistic 3D printing model [Figure 1].
Figure 1: 1. Aneurysm; 2. anterior communicating artery; 3. vertebral artery; 4. posterior communicating artery; 5. middle cerebral artery; 6. anterior cerebral artery; 7. basilar artery; 8. skullPreoperative preparation and surgical simulation
Preoperative according to 3D print model, evaluation of aneurysm and adjacent to the bone, arteries and veins, the nerves and brain anatomical relationships occlusion, aneurysm dome head, design of the optimal surgical approach, the simulation of the separation of the aneurysm neck operation, choosing the best-placed aneurysm clip, and applies the model to the intraoperative reference for the performer; [Figure 2].
Figure 2: (a) 3D-printed brain model containing brain tissue; (b) select the left side according to the location of the aneurysm. The frontal, temporal key point approach was used to open the bone window. (c) Expose the aneurysm and select an appropriate aneurysm clip for clipping (aneurysm clip shown in blue arrow); (d) the aneurysmal neck is clearly visible after clipping (blue). The aneurysm neck (arrow) is completely clipped ResultsThe 3D-printed craniocerebral models were used to design the surgical route. The actual surgery was based on the results of the simulated surgery. The intraoperative exposure time of the simulation group ([132.75 ± 73.05] min) was significantly shorter than that of the control group ([221.67 ± 113.36] min, P < 0.05). There was no significant difference in the length of hospital stay between the two groups (P > 0.05). The Glasgow Outcome Scale score ([5.00] points), the National Institutes of Health Stroke Scale score (0), and the Barthel index difference (100.00) in the simulation group six months after surgery were significantly higher than those in the control group ([3.5], [4.5], and (82.5) points, respectively; P < 0.05). There was no significant difference in the incidence of postoperative complications between the two groups (P > 0.05) [Table 1].
DiscussionGenerally, cerebral aneurysm clipping surgery needs long-term training and lots of experience. Experienced neurosurgeons can grasp and understand the size of the aneurysm, its shape, and its surrounding structures, and the relationship between the surrounding bone, blood vessels, and nerves; they can individualize design approaches, adopt accurate security strategies to clip aneurysms according to the circumstance of the aneurysm, but the process indeed needs a lot of training of clinical surgery. They require comprehensive intracranial anatomy knowledge and a powerful ability of space imagination, and growth is also accompanied by mistakes and patient losses.[19]
After the preoperative use of the 3D printing model, we made the operation plan, designed approaches, and simulated clip strategies, the simulation undoubtedly can cut unnecessary time to expedite the operation process.[20] According to statistics comparing two patient groups who underwent surgery, the simulation group's exposure time was shorter than the conventional surgery group's, averaging 89 minutes on average. This resulted in a shorter operating time and a decrease in surgical blood loss and postoperative infection. Compared with the 22 days in the conventional surgery group, the 18 days in the simulation group were slightly shorter than that in the conventional surgery group.
ConclusionThe 3D-printed aneurysm model is characterized by convenience, high simulation, practicability, and individualized production, which has high application value in making detailed surgical plans and can effectively shorten the operation time, reduce postoperative complications and reduce postoperative neurological dysfunction.
SPSS software was used for statistical analysis. Independent sample t-test was used for measurement data of normal distribution, the Mann-Whitney U test was used for measurement data of non-normal distribution, and the Chi-square test was used for counting data. P < 0.05 was considered statistically significant.
Abbreviations
3D = Three dimensions
CTA = Computed tomography angiography
STL format = Standard Tessellation Language format
NIHSS = The National Institutes of Health Stroke Scale
DSA = Digital subtraction angiography
GOS = Glasgow Outcome Scale
SLA = Stereolithography, light curing forming
Financial support and sponsorship
This work (Z171100001017044) was supported by the Capital Clinical Characteristic Application Research and Achievement Promotion Project of Beijing.
Conflict of interest
There are no conflicts of interest.
References
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