Intracranial vasculature 3D printing: review of techniques and manufacturing processes to inform clinical practice

Background In recent years, three-dimensional (3D) printing has been increasingly applied to the intracranial vasculature for patient-specific surgical planning, training, education, and research. Unfortunately, though, much of the prior literature regarding 3D printing has focused on the end-product and not the process. In addition, for 3D printing/manufacturing to occur on a large scale, challenges and bottlenecks specific to each modeled anatomy must be overcome. Main body In this review article, limitations and considerations of each 3D printing processing step, as they relate to printing individual intracranial vasculature models and providing an active clinical service for a quaternary care center, are discussed. Relevant advantages and disadvantages of the available acquisition techniques (computed tomography, magnetic resonance, and digital subtraction angiography) are reviewed. Specific steps in segmentation, processing, and creation of a printable file may impede the workflow or degrade the fidelity of the printed model and are, therefore, given added attention. The various available printing techniques are compared with respect to printing the intracranial vasculature. Finally, applications are discussed, and a variety of example models are shown. Conclusion In this review we provide insight into the manufacturing of 3D models of the intracranial vasculature that may facilitate incorporation into or improve utility of 3D vascular models in clinical practice.

[1]  Guo-liang Jin,et al.  3D printing of intracranial aneurysm based on intracranial digital subtraction angiography and its clinical application , 2018, Medicine.

[2]  J-H Buhk,et al.  3D Printing of Intracranial Aneurysms Using Fused Deposition Modeling Offers Highly Accurate Replications , 2016, American Journal of Neuroradiology.

[3]  N. Kaneko,et al.  Microcatheter Shaping for Intracranial Aneurysm Coiling Using the 3-Dimensional Printing Rapid Prototyping Technology: Preliminary Result in the First 10 Consecutive Cases. , 2015, World neurosurgery.

[4]  Thomas M Grist,et al.  Magnetic resonance angiography: current status and future directions , 2011, Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance.

[5]  Ernst Klotz,et al.  New techniques in CT angiography. , 2006, Radiographics : a review publication of the Radiological Society of North America, Inc.

[6]  M. Sluzewski,et al.  3D Rotational Angiography: The New Gold Standard in the Detection of Additional Intracranial Aneurysms , 2008, American Journal of Neuroradiology.

[7]  Zhao-yong Sun,et al.  3D printing of intracranial artery stenosis based on the source images of magnetic resonance angiograph. , 2014, Annals of translational medicine.

[8]  Y. Fujii,et al.  Interactive presurgical simulation applying advanced 3D imaging and modeling techniques for skull base and deep tumors. , 2013, Journal of neurosurgery.

[9]  J. Pisapia,et al.  3D printing in neurosurgery: A systematic review , 2016, Surgical neurology international.

[10]  Shigeo Sora,et al.  SIMULATION OF AND TRAINING FOR CEREBRAL ANEURYSM CLIPPING WITH 3‐DIMENSIONAL MODELS , 2009, Neurosurgery.

[11]  Stephen Rudin,et al.  Challenges and limitations of patient-specific vascular phantom fabrication using 3D Polyjet printing , 2014, Medical Imaging.

[12]  P. Hofman,et al.  Dual-energy CT of the brain and intracranial vessels. , 2012, AJR. American journal of roentgenology.

[13]  Xue Jianbin,et al.  Comparison of Different Types of 3D Printing Technologies , 2018 .

[14]  F. Rybicki,et al.  Medical 3D Printing for the Radiologist. , 2015, Radiographics : a review publication of the Radiological Society of North America, Inc.

[15]  Imad S. Khan,et al.  Prototyping of cerebral vasculature physical models , 2014, Surgical neurology international.

[16]  B. Tomancok,et al.  Cerebrovascular stereolithographic biomodeling for aneurysm surgery. Technical note. , 2004, Journal of neurosurgery.

[17]  Hilde van der Togt,et al.  Publisher's Note , 2003, J. Netw. Comput. Appl..

[18]  Dimitrios Mitsouras,et al.  Medical 3D printing: methods to standardize terminology and report trends , 2017, 3D Printing in Medicine.

[19]  N. Harada,et al.  Anatomical Reproducibility of a Head Model Molded by a Three-dimensional Printer , 2015, Neurologia medico-chirurgica.

[20]  Liang Zhong,et al.  Coronary Artery Segmentation by Deep Learning Neural Networks on Computed Tomographic Coronary Angiographic Images , 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[21]  Vijanth Sagayan Asirvadam,et al.  A Review on Segmentation and Modeling of Cerebral Vasculature for Surgical Planning , 2017, IEEE Access.

[22]  S. Ahn,et al.  Basic neuroangiography: review of technique and perioperative patient care. , 2013, Seminars in interventional radiology.

[23]  Peter Weinstock,et al.  Optimizing cerebrovascular surgical and endovascular procedures in children via personalized 3D printing. , 2015, Journal of neurosurgery. Pediatrics.

[24]  Peter Nakaji,et al.  Cerebral Aneurysm Clipping Surgery Simulation Using Patient-Specific 3D Printing and Silicone Casting. , 2016, World neurosurgery.

[25]  N. Kaneko,et al.  Development of three-dimensional hollow elastic model for cerebral aneurysm clipping simulation enabling rapid and low cost prototyping. , 2015, World neurosurgery.

[26]  Walter Heindel,et al.  Dual-energy CTA with bone removal for transcranial arteries: intraindividual comparison with standard CTA without bone removal and TOF-MRA. , 2009, Academic radiology.

[27]  K. Jenpanich,et al.  [Drug administration]. , 1976, Thai journal of nursing.

[28]  Shuai Leng,et al.  Implementation of iterative metal artifact reduction in the pre-planning-procedure of three-dimensional physical modeling , 2017, 3D Printing in Medicine.

[29]  Shuai Leng,et al.  Three-dimensional Physical Modeling: Applications and Experience at Mayo Clinic. , 2015, Radiographics : a review publication of the Radiological Society of North America, Inc.

[30]  K. Lovblad,et al.  From patient to model: stereolithographic modeling of the cerebral vasculature based on rotational angiography. , 2005, AJNR. American journal of neuroradiology.

[31]  Christof Karmonik,et al.  Three-dimensional printing of anatomically accurate, patient specific intracranial aneurysm models , 2015, Journal of NeuroInterventional Surgery.

[32]  Paul M. Parizel,et al.  MR angiography of the intracranial vessels: technical aspects and clinical applications , 2004, Neuroradiology.