Abstract
Background
Treatment of complex intracranial aneurysms requires strategic pre-interventional or preoperative planning. In addition to modern three-dimensional (3D) rotational angiography, computed tomography angiography (CTA) or magnetic resonance angiogram (MRA), a solid, tangible 3D model may improve anatomical comprehension and treatment planning. A 3D rapid prototy** (RP) technique based on multimodal imaging data was evaluated for use in planning of treatment for complex aneurysmal configurations.
Methods
Six patients with complex aneurysms were selected for 3D RP based on CTA and 3D rotational angiography data. Images were segmented using image-processing software to create virtual 3D models. Three-dimensional rapid prototy** techniques transformed the imaging data into physical 3D models, which were used and evaluated for interdisciplinary treatment planning.
Results
In all cases, the model provided a comprehensive 3D representation of relevant anatomical structures and improved understanding of related vessels. Based on the 3D model, primary bypass surgery with subsequent reconstruction of the aneurysm was then considered advantageous in all but one patient after simulation of multiple approaches.
Conclusions
Preoperative prediction of intraoperative anatomy using the 3D model was considered helpful for treatment planning. The use of 3D rapid prototy** may enhance understanding of complex configurations in selected large or giant aneurysms, especially those pretreated with clips or coils.
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Abbreviations
- 3D RA:
-
3D rotational angiography
- 3D RP:
-
3D rapid prototy**
- CTA:
-
Computed tomography angiography
- MCA:
-
Middle carotid artery
- MRA:
-
Magnetic resonance angiogram
- PCA:
-
Posterior cerebral artery
- SRA:
-
Superficial temporal artery
References
Winder J, Bibb R (2005) Medical rapid prototy** technologies: state of the art and current limitations for application in oral and maxillofacial surgery. J Oral Maxillofac Surg 63:1006–1015
Wurm G, Tomancok B, Pogady P, Holl K, Trenkler J (2004) Cerebrovascularstereolithographic biomodeling for aneurysm surgery. Technical note. J Neurosurg 100:139–145
Kondo K, Harada N, Masuda H, Sugo N, Terazono S, Okonogi S, Sakaeyama Y, Fuchinoue Y, Ando S, Fukushima D, Nomoto J, Nemoto M (2016) A neurosurgical simulation of skull base tumors using a 3D printed rapid prototy** model containing mesh structures. Acta Neurochir (Wein) 158:1213-1219
Thawani JP, Pisapia JM, Singh N, Petrov D, Schuster JM, Hurst RW, Zager EL, Pukenas BA (2016) 3D-printed modeling of an arteriovenous malformation including blood flow. World Neurosurg 90:675-683.e2
Schuknecht B (2007) High-concentration contrast media (HCCM) in CT angiography of the carotid system: impact on therapeutic decision making. Neuroradiology 49(Suppl 1):S15–26
Hanel RA, Spetzler RF (2008) Surgical treatment of complex intracranial aneurysms. Neurosurgery 62:1289–1297, discussion 1297–1289
Mordasini P, Kraehenbuehl AK, Byrne JV, Vandenberghe S, Reinert M, Hoppe H, Gralla J (2013) In vitro and in vivo imaging characteristics assessment of polymeric coils compared with standard platinum coils for the treatment of intracranial aneurysms. AJNR Am J Neuroradiol 34:2177–2183
Patel NV, Gounis MJ, Wakhloo AK, Noordhoek N, Blijd J, Babic D, Takhtani D, Lee SK, Norbash A (2011) Contrast-enhanced angiographic cone-beam CT of cerebrovascular stents: experimental optimization and clinical application. AJNR Am J Neuroradiol 32:137–144
Hoit DA, Malek AM (2006) Fusion of three-dimensional calcium rendering with rotational angiography to guide the treatment of a giant intracranial aneurysm: technical case report. Neurosurgery 58:ONS-E173, discussion ONS-E173
Jansen IG, Schneiders JJ, Potters WV, van Ooij P, van den Berg R, van Bavel E, Marquering HA, Majoie CB (2014) Generalized versus patient-specific inflowboundary conditions in computational fluid dynamics simulations of cerebral aneurysmal hemodynamics. AJNR Am J Neuroradiol 35:1543-1548
Piotin M, Gailloud P, Bidaut L, Mandai S, Muster M, Moret J, Rufenacht DA (2003) CT angiography, MR angiography and rotational digital subtraction angiography forvolumetric assessment of intracranial aneurysms. An experimental study. Neuroradiology 45:404–409
D’Urso PS, Williamson OD, Thompson RG (2005) Biomodeling as an aid to spinal instrumentation. Spine (Phila Pa 1976) 30:2841–2845
Izatt MT, Thorpe PL, Thompson RG, D’Urso PS, Adam CJ, Earwaker JW, Labrom RD, Askin GN (2007) The use of physical biomodelling in complex spinal surgery. Eur Spine J 16:1507–1518
Kimura T, Morita A, Nishimura K, Aiyama H, Itoh H, Fukaya S, Sora S, Ochiai C (2009) Simulation of and training for cerebral aneurysm clip** with 3-dimensional models. Neurosurgery 65:719–725, discussion 725–716
Sodian R, Weber S, Markert M, Loeff M, Lueth T, Weis FC, Daebritz S, Malec E, Schmitz C, Reichart B (2008) Pediatric cardiac transplantation: three-dimensional printing of anatomic models for surgical planning of heart transplantation in patients with univentricular heart. J Thorac Cardiovasc Surg 136:1098–1099
D’Urso PS, Thompson RG, Atkinson RL, Weidmann MJ, Redmond MJ, Hall BI, Jeavons SJ, Benson MD, Earwaker WJ (1999) Cerebrovascular biomodelling: a technical note. Surg Neurol 52:490–500
Mashiko T, Otani K, Kawano R, Konno T, Kaneko N, Ito Y, Watanabe E (2015) Development of three-dimensional hollow elastic model for cerebral aneurysm clip** simulation enabling rapid and low cost prototy**. World Neurosurg 83:351–361
Perez-Arjona E, Dujovny M, Park H, Kulyanov D, Galaniuk A, Agner C, Michael D, Diaz FG (2003) Stereolithography: neurosurgical and medical implications. Neurol Res 25:227–236
Ryan JR, Almefty KK, Nakaji P, Frakes DH (2016) Cerebral aneurysm clip** surgery simulation using patient-specific 3D printing and silicone casting. World Neurosurg 88:175–181
Wurm G, Lehner M, Tomancok B, Kleiser R, Nussbaumer K (2011) Cerebrovascular biomodeling for aneurysm surgery: simulation-based training by means of rapid prototy** technologies. Surg Innov 18:294–306
Russin J, Babiker H, Ryan J, Rangel-Castilla L, Frakes D, Nakaji P (2015) Computational fluid dynamics to evaluate the management of a giant internal carotid artery aneurysm. World neurosurg 83:1057–1065
Arriaga AF, Bader AM, Wong JM, Lipsitz SR, Berry WR, Ziewacz JE, Hepner DL, Boorman DJ, Pozner CN, Smink DS, Gawande AA (2013) Simulation-based trial of surgical-crisis checklists. N Engl J Med 368:246–253
Arriaga AF, Gawande AA, Raemer DB, Jones DB, Smink DS, Weinstock P, Dwyer K, Lipsitz SR, Peyre S, Pawlowski JB, Muret-Wagstaff S, Gee D, Gordon JA, Cooper JB, Berry WR (2014) Pilot testing of a model for insurer-driven, large-scale multicenter simulation training for operating room teams. Ann Surg 259:403–410
Khan IS, Kelly PD, Singer RJ (2014) Prototy** of cerebral vasculature physical models. Surg Neurol Int 5:11
Waran V, Narayanan V, Karuppiah R, Owen SL, Aziz T (2014) Utility of multimaterial 3D printers in creating models with pathological entities to enhance the training experience of neurosurgeons. J Neurosurg 120:489–492
Agarwal N, Chaudhari A, Hansberry DR, Tomei KL, Prestigiacomo CJ (2013) A comparative analysis of neurosurgical online education materials to assess patient comprehension. J Clin Neurosci 20:1357–1361
King JT Jr, Yonas H, Horowitz MB, Kassam AB, Roberts MS (2005) A failure to communicate: patients with cerebral aneurysms and vascular neurosurgeons. J Neurol Neurosurg Psychiatry 76:550–554
Weinstock P, Prabhu SP, Flynn K, Orbach DB, Smith E (2015) Optimizingcerebrovascular surgical and endovascular procedures in children via personalized 3D printing. J Neurosurg Pediatr 31:1–6
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The assistance of Ms. Susan Kaplan in editing the manuscript is acknowledged.
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This work or part of this work has not been previously published. The authors report no conflict of interest concerning the materials or methods used in this study or the findings specified in this paper.
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This study fulfilled the requirements of the local Ethical Committees of Bern, Switzerland.
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Andereggen, L., Gralla, J., Andres, R.H. et al. Stereolithographic models in the interdisciplinary planning of treatment for complex intracranial aneurysms. Acta Neurochir 158, 1711–1720 (2016). https://doi.org/10.1007/s00701-016-2892-3
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DOI: https://doi.org/10.1007/s00701-016-2892-3