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Efficacy of 3D-printed simulation models of unruptured intracranial aneurysms in patient education and surgical simulation

  • Seung-Bin Woo (Department of Neurosurgery, Dongsan Medical Center, Keimyung University School of Medicine) ;
  • Chang-Young Lee (Department of Neurosurgery, Dongsan Medical Center, Keimyung University School of Medicine) ;
  • Chang-Hyun Kim (Department of Neurosurgery, Dongsan Medical Center, Keimyung University School of Medicine) ;
  • Min-Yong Kwon (Department of Neurosurgery, Dongsan Medical Center, Keimyung University School of Medicine) ;
  • Young San Ko (Department of Neurosurgery, Dongsan Medical Center, Keimyung University School of Medicine) ;
  • Jong-Ha Lee (Department of Biomedical Engineering, School of Medicine, Keimyung University) ;
  • Jin-Chul Heo (Department of Biomedical Engineering, School of Medicine, Keimyung University) ;
  • Sae Min Kwon (Department of Neurosurgery, Dongsan Medical Center, Keimyung University School of Medicine)
  • Received : 2022.09.02
  • Accepted : 2022.09.23
  • Published : 2023.03.31

Abstract

Objective: The purpose of this study was to determine the efficacy of a 3D-printed aneurysm simulation model (3DPM) in educating patients and improving physicians' comprehension and performance. Methods: This prospective study involved 40 patients who were diagnosed with unruptured intracranial aneurysms (UIAs) and scheduled for surgical clipping or endovascular coiling and randomly divided into two groups (the 3DPM group and the non-3DPM group). The 3DPM was used in preoperative consultation with patients and intraoperatively referenced by surgeons. The patients, 7 neurosurgical residents, and 10 surgeons completed questionnaires (5-point Likert scale) to determine the usefulness of the 3DPM. Results: Patients in the 3DPM group had significantly higher scores in terms of their understanding of the disease (mean 4.85 vs. 3.95, p<0.001) and the treatment plan (mean 4.85 vs. 4.20, p=0.005) and reported higher satisfaction during consultation (5.0 vs. 4.60, p=0.036) than patients in the non-3DPM group. During patient consultation, 3DPMs were most useful in improving doctor-patient communication (mean 4.57, range 4-5). During clipping surgery, the models were most useful in assessing adjacent arteries (mean 4.9, range 4-5); during endovascular coiling, they were especially helpful in microcatheter shaping (mean 4.7, range 4-5). Conclusions: In general, 3DPMs are beneficial in educating patients and improving the physician's performance in terms of surgical clipping and endovascular coiling of UIAs.

Keywords

Acknowledgement

This work was supported by a National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (No. 2020R1G1A1013289).

References

  1. Blaszczyk M, Jabbar R, Szmyd B, Radek M. 3D printing of rapid, low-cost and patient-specific models of brain vasculature for use in preoperative planning in clipping of intracranial aneurysms. J Clin Med. 2021 Mar;10(6):1201. 
  2. Brown RD, Broderick JP. Unruptured intracranial aneurysms: epidemiology, natural history, management options, and familial screening. Lancet Neurol 2014 Apr;13(4):393-404. 
  3. Chawla S, Devi S, Calvachi P, Gormley WB, Rueda-Esteban R. Evaluation of simulation models in neurosurgical training according to face, content, and construct validity: a systematic review. Acta Neurochir (Wien). 2022 Apr;164(4):947-66. 
  4. Chen C, Cai L, Zheng W, Wang J, Guo X, Chen H. The efficacy of using 3D printing models in the treatment of fractures: a randomised clinical trial. BMC Musculoskelet Disord. 2019 Feb;20(1):65. 
  5. Cogswell PM, Rischall MA, Alexander AE, Dickens HJ, Lanzino G, Morris JM. Intracranial vasculature 3D printing: review of techniques and manufacturing processes to inform clinical practice. 3D Print Med. 2020 Aug;6(1):18. 
  6. Damon A, Clifton W, Valero-Moreno F, Quinones-Hinojosa A. Cost-effective method for 3-dimensional printing dynamic multiobject and patient-specific brain tumor models: technical note. World Neurosurg. 2020 Aug;140:173-9. 
  7. Dho Y-S, Lee D, Ha T, Ji SY, Kim KM, Kang H, et al. Clinical application of patient-specific 3D printing brain tumor model production system for neurosurgery. Sci Rep. 2021 Mar; 11(1):7005. 
  8. Faraj MK, Hoz SS, Mohammad AJ. The use of three-dimensional anatomical patient-specific printed models in surgical clipping of intracranial aneurysm: a pilot study. Surg Neurol Int. 2020 Nov;11:381. 
  9. Gabriel RA, Kim H, Sidney S, McCulloch CE, Singh V, Johnston SC, et al. Ten-year detection rate of brain arteriovenous malformations in a large, multiethnic, defined population. Stroke. 2010 Jan;41(1):21-6. 
  10. Heinrich MA, Bansal R, Lammers T, Zhang YS, Michel Schiffelers R, Prakash J. 3D-bioprinted mini-brain: a glioblastoma model to study cellular interactions and therapeutics. Adv Mater. 2019 Apr;31(14):e1806590. 
  11. Ishibashi T, Takao H, Suzuki T, Yuki I, Kaku S, Kan I, et al. Tailor-made shaping of microcatheters using three-dimensional printed vessel models for endovascular coil embolization. Comput Biol Med. 2016 Oct;77:59-63. 
  12. Janes D, Boone D, Dubrowski A. "It's only brain surgery": using 3D printing and simulation to prepare rural physicians for the management of acute epidural hematoma. Cureus. 2020 Oct;12(10):e11236. 
  13. Kim PS, Choi CH, Han IH, Lee JH, Choi HJ, Lee JI. Obtaining informed consent using patient specific 3D printing cerebral aneurysm model. J Korean Neurosurg Soc. 2019 Jul;62(4):398-404. 
  14. Kimura T, Morita A, Nishimura K, Aiyama H, Itoh H, Fukaya S, et al. Simulation of and training for cerebral aneurysm clipping with 3-dimensional models. Neurosurgery. 2009 Oct;65(4):719-25; discussion 725-6. 
  15. Kosterhon M, Neufurth M, Neulen A, Schafer L, Conrad J, Kantelhardt SR, et al. Multicolor 3D printing of complex intracranial tumors in neurosurgery. J Vis Exp. 2020 Jan;(155). 
  16. Mashiko T, Otani K, Kawano R, Konno T, Kaneko N, Ito Y, et al. Development of three-dimensional hollow elastic model for cerebral aneurysm clipping simulation enabling rapid and low cost prototyping. World Neurosurg. 2015 Mar;83(3):351-61. 
  17. Nagassa RG, McMenamin PG, Adams JW, Quayle MR, Rosenfeld JV. Advanced 3D printed model of middle cerebral artery aneurysms for neurosurgery simulation. 3D Print Med. 2019 Aug;5(1):11. 
  18. Namba K, Higaki A, Kaneko N, Mashiko T, Nemoto S, Watanabe E. Microcatheter shaping for intracranial aneurysm coiling using the 3-dimensional printing rapid prototyping technology: preliminary result in the first 10 consecutive cases. World Neurosurg. 2015 Jul;84(1):178-86. 
  19. Ploch CC, Mansi CSSA, Jayamohan J, Kuhl E. Using 3D printing to create personalized brain models for neurosurgical training and preoperative planning. World Neurosurg. 2016 Jun;90:668-74. 
  20. Randazzo M, Pisapia JM, Singh N, Thawani JP. 3D printing in neurosurgery: a systematic review. Surg Neurol Int. 2016 Nov;7(Suppl 33):S801-9. 
  21. Rengier F, Mehndiratta A, von Tengg-Kobligk H, Zechmann CM, Unterhinninghofen R, Kauczor H-U, et al. 3D printing based on imaging data: review of medical applications. Int J Comput Assist Radiol Surg. 2010 Jul;5(4):335-41. 
  22. Ryan JR, Almefty KK, Nakaji P, Frakes DH. Cerebral aneurysm clipping surgery simulation using patient-specific 3D printing and silicone casting. World Neurosurg. 2016 Apr;88:175-81. 
  23. Vlak MH, Algra A, Brandenburg R, Rinkel GJ. Prevalence of unruptured intracranial aneurysms, with emphasis on sex, age, comorbidity, country, and time period: a systematic review and meta-analysis. Lancet Neurol. 2011 Jul;10(7):626-36 
  24. Wang L, Ye X, Hao Q, Ma L, Chen X, Wang H, et al. Three-dimensional intracranial middle cerebral artery aneurysm models for aneurysm surgery and training. J Clin Neurosci. 2018 Apr;50:77-82.