Tools

Michael Randazzo, Jared M. Pisapia, Nickpreet Singh, Jayesh P. Thawani
  1. Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
  2. Department of Neurosurgery, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA

Correspondence Address:
Jayesh P. Thawani
Department of Neurosurgery, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA

DOI:10.4103/2152-7806.194059

Copyright: © 2016 Surgical Neurology International This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.

How to cite this article: Michael Randazzo, Jared M. Pisapia, Nickpreet Singh, Jayesh P. Thawani. 3D printing in neurosurgery: A systematic review. 14-Nov-2016;7:

How to cite this URL: Michael Randazzo, Jared M. Pisapia, Nickpreet Singh, Jayesh P. Thawani. 3D printing in neurosurgery: A systematic review. 14-Nov-2016;7:. Available from: http://surgicalneurologyint.com/surgicalint_articles/3d-printing-neurosurgery-systematic-review/

Date of Submission
18-Apr-2016

Date of Acceptance
24-Jun-2016

Date of Web Publication
14-Nov-2016

Abstract

Background:The recent expansion of three-dimensional (3D) printing technology into the field of neurosurgery has prompted a widespread investigation of its utility. In this article, we review the current body of literature describing rapid prototyping techniques with applications to the practice of neurosurgery.

Methods:An extensive and systematic search of the Compendex, Scopus, and PubMed medical databases was conducted using keywords relating to 3D printing and neurosurgery. Results were manually screened for relevance to applications within the field.

Results:Of the search results, 36 articles were identified and included in this review. The articles spanned the various subspecialties of the field including cerebrovascular, neuro-oncologic, spinal, functional, and endoscopic neurosurgery.

Conclusions:We conclude that 3D printing techniques are practical and anatomically accurate methods of producing patient-specific models for surgical planning, simulation and training, tissue-engineered implants, and secondary devices. Expansion of this technology may, therefore, contribute to advancing the neurosurgical field from several standpoints.

Keywords: Additive manufacturing, surgical planning, surgical simulation, three-dimensional printing

INTRODUCTION

Three-dimensional (3D) printing has revolutionized the practice of rapid prototyping since its initial emergence in the 1980s. This technique has enabled the fabrication of physical, 3D models from computer-aided designs through additive manufacturing, in which successive layers of material are deposited onto underlying layers to construct 3D objects.[ 13 ] Using this type of manufacturing, traditional intermediary stages of product development including tooling, supply chains, and production lines are eliminated, allowing concepts to be quickly and inexpensively translated into both prototypes and products. Several methods of printing have been developed that leverage unique material properties to selectively cure or fix specific areas on an individual layer. Most notably, fused deposition modeling utilizes a thermoplastic material that hardens after being heated during extrusion, whereas stereolithography (SLA) employs a low-power ultraviolet (UV) laser to solidify a liquid photosensitive polymer. Within the last decade, applications for 3D printing technology have expanded greatly in the manufacturing industry as a result of numerous innovations that have markedly reduced production and technology costs, improved the level of accuracy of printed objects, and increased the range of printable materials. These improvements have provided the capabilities to create a variety of products and even make this technology available to consumers for in-home use. Applications within clinical medicine are also emerging due to 3D printing's ability to produce individualized models, devices, and implants that can potentially improve patient care.

The field of neurosurgery, in particular, has experienced substantial progress as a result of the usage of 3D printing. Because most of the surgical procedures and corresponding pathology that neurosurgeons encounter involve intricate, minute anatomical structures that cannot be outwardly observed, neuroimaging has become an integral component of clinical practice.[ 10 ] This technology has enabled structures to be noninvasively visualized for both diagnosis and surgical treatment; however, most imaging methods including X-ray, computed tomography (CT), and magnetic resonance imaging (MRI) acquire images in either two-dimensions (2D) or a 3D volume in 2D slices.[ 37 ] Therefore, appreciation of the 3D relationships between these structures within a limited surgical aperture is often difficult. 3D printing could provide a practical solution to this issue. With this technology, anatomical structures can be reconstructed from 3D volumes and subsequently fabricated as physical models, which can then be used for surgical planning and education for both patients and trainees. Similarly, the capabilities of 3D printing can be applied to the design of surgical simulations. Simulations provide a realistic representation of the surgical procedure without the risk of potential harm to a patient. 3D printing has enabled the production of customizable, high-resolution simulators that can create a realistic, immersive training environment.[ 24 ]

This technology can also serve as a tool for prototyping and production of innovative surgical devices similar to its utility in the manufacturing industry. This application may enable surgeons and researchers to create instruments and implants that correspond to individual patient anatomy for a personalized approach to treatment. Because of recent advancements, biological materials can additionally be utilized as a printing medium to construct engineered, inert scaffolds that can be populated with patient cells for the purpose of transplantation.

Studies involving the incorporation of 3D printing in neurosurgery have focused upon three main areas, i.e., the creation of patient-specific anatomical models for surgical planning, training, and education, the design of neurosurgical devices for assessment and treatment of neurosurgical diseases, and the development of biological tissue-engineered implants. In this article, we will review these studies within each subspecialty area within neurosurgery to assess the progress of the field.

MATERIALS AND METHODS

A systematic review of the published literature was performed to assess the current use of 3D printing in the field of neurosurgery. Three medical databases (Compendex, Scopus, PubMed) were searched using keywords for relevant literature between database inception to December 2015. Inclusion criteria included articles referencing both “three dimensional printing” or “additive manufacturing” and “neurosurgery” in addition to common variations of those terms. Results were then manually filtered according to more specific criteria; only human studies related to the brain or spine were considered and no studies concerning craniofacial reconstruction were included. Only studies published in English were included. Table 1 summarizes the application and printing method for each included study.


Table 1

Descriptions of three-dimensional printing methods by study[ 4 25]

 

RESULTS

In total, the described search terms yielded 201 articles from the Compendex database, 288 articles from Scopus, and 265 articles from PubMed. Results were manually reviewed for clinical applications of 3D printing in the field of neurosurgery, and a subset of 36 articles was identified that fulfilled the inclusion criteria. Of the selected articles, 12 were related to cerebrovascular applications, 6 were related to neuro-oncology, 4 were related to functional neurosurgery, 5 were related to spine surgery, 6 were related to catheter and endoscopic applications, 2 were review articles, and 2 were related to other subspecialties of neurosurgery. One article discussed both spinal and endoscopic applications.

Cerebrovascular

Surgical planning and modeling

Cerebral aneurysm surgery requires a thorough understanding of the intricate 3D structure of individual aneurysms in addition to precise knowledge about associated parent vessels and surrounding anatomic structures. Importantly, diagnostic imaging has evolved in past decades from 2D angiography that force surgeons to mentally construct complicated vasculature to 3D computed tomographic angiography (3D-CTA) and digital subtraction angiography (DSA) that provide computationally reconstructed 3D visualizations.[ 14 ] However, while surgeons are able to better comprehend the anatomical details with these current techniques, aneurysms are paradoxically viewed on a flat 2D computer screen during image review or angiography, making interpretations related to depth difficult. Therefore, physical models, which can be viewed from any angle, represent a potentially more advantageous method of visualization. With the advent of 3D printing, this approach has become a feasible option, enabling physical 3D representations of vascular networks of an individual patient to be produced [ Figure 1 ].[ 1 26 ]


Figure 1

(a) Arteriovenous malformation. Using stereolithography (.STL) files created from DICOM images, the authors have generated models of a patient's vascular malformation. Using specialized software, arterial and venous phases can be segmented within the model. (b, c): Low-grade glioma and white matter tracts. Using diffusion tractography data, a patient's white matter anatomy (corpus callosum, arcute fasciculus, corticospinal tract) and tumor were similarly generated. In the composite model (c), a scaffold has been printed to support the structure during prototyping. Using an alkaline solution, the scaffold is dissolved

 

Numerous studies have demonstrated that complex vasculature obtained from patient scans can be printed using this technology and have additionally assessed the accuracy of the resulting models.[ 2 7 9 11 14 19 33 36 37 ] One study in particular performed a more comprehensive evaluation across 22 patients with unruptured aneurysms, comparing the reproducibility of the length and thickness of the main arteries and the size of the aneurysm between a 3D-CTA and the printed model.[ 11 ] In all studies comprising both qualitative and quantitative assessments, significant differences between preoperative imaging and printed models were only observed in a few minute areas, indicating that these models accurately represent patient anatomy. Table 2 summarizes the findings from these studies. Notably, one report found that most inconsistencies were a result of residual support material within the lumen of the vessels.[ 7 ] Visual comparisons to intraoperative observations of patient anatomy also supported the precise replication of anatomical structures with the models,[ 14 33 36 ] and more rigorous analysis verified millimeter-level fidelity in 4 patients.[ 33 ]


Table 2

Summary of study findings for the reproducibility of patient anatomy using three-dimensional printed cerebrovascular models

 

Using these anatomically accurate models, surgical planning can be potentially improved to produce better patient outcomes. In two cases of pediatric arteriovenous malformations, intraoperative time was reduced by 12% compared to matched control cases, suggesting that printed models may facilitate planning.[ 33 ] Additional analysis is still necessary to further validate that claim. Namba et al. were even able to successfully predetermine the shape of the microcatheter inserted for aneurysm coiling in 10 patients after first performing a validation with the printed model. Printed vascular networks have similarly been utilized to replicate hemodynamics within an aneurysm[ 2 ] and to practice clipping procedures[ 14 ] to understand the vascular pathology preoperatively. Individualized 3D printed models have created novel opportunities for surgical planning that could benefit treatment.

Surgical training and simulation

Surgical education has undergone a recent paradigm shift toward simulation-based training as opposed to the traditional experience-based training program. This change reflects the need for a safe teaching environment separated from the risk-inherent operating room, thus enabling teaching faculty to focus on training during simulations and patient care during operations. Other factors have also contributed to the shift including instituted training restrictions that have limited patient interactions, which are essential for procedural learning. The capabilities of 3D printing are well suited for the development of these physical simulators, which is evident from the literature.

One field where learning has generally been constrained to the operating room is aneurysm clipping. With the increase in the treatment of aneurysms through coil embolization and the lack of realistic cadaveric tissue, simulation-based training has become a pertinent training strategy. Mashiko et al. created hollow elastic replicas of various aneurysms within their vascular networks from a printed model and provided trainees with the opportunity to gain experience determining the clipping direction, selecting the appropriate clip, and understanding the shape of the aneurysm.[ 14 ] Results from a questionnaire following training indicate that trainees found this activity to be helpful in their understanding. Other developed simulators have involved a printed skull along with the cerebral vessels to promote further realism.[ 15 35 ] In these models, different materials were also incorporated to more accurately mimic the realistic counterparts such as pliable material for vasculature and aneurysms.

Neuro-oncology

Surgical planning and modeling

Current surgical planning for the resection of brain tumors involves using MRI technology to differentiate between tumor and surrounding brain tissue. Nonetheless, even when this distinction is clear, it can be difficult for surgeons to appreciate the relationships between adjacent anatomical landmarks during the procedure. 3D printing technology has enabled MRI data to be translated into patient-specific models depicting the associations between tumor, skull, vasculature, and surrounding nonpathologic brain tissue [ Figure 1 ].[ 20 22 ] Therefore, surgeons can recognize the location and extent of the tumor relative gyral/sulcal patterns and skull features. Models have then been further utilized to simulate realistic surgical approaches under microscopic observation.[ 20 ] Spottiswoode et al. additionally included printed regions of functional MRI (fMRI) activation determined from presurgical mapping paradigms in the model to demarcate areas of eloquent cortex that should be avoided in resection.[ 22 ]

Printed head models have also had a role in the planning and development of novel treatments for brain tumors. Phantoms that replicate the properties of the skull and cerebral tissue were produced to evaluate the potential for MRI-guided focused ultrasound to be used in the noninvasive thermocoagulation of brain tumors.[ 16 ] This method could be a unique alternative to the conventional therapies of surgery, radiotherapy, and chemotherapy.

Surgical training and simulation

Similar to the motives in the field of cerebrovascular surgery, surgical training for the excision of brain tumors has experienced the inclusion of simulation-based training methods. Critically, the use of 3D printers has lead to the development of simulators created from a multitude of materials with varying consistencies and densities.[ 30 ] This property has contributed to the reality of the simulation by replicating the handling features of various tissue types. Based on this type of simulator, the performance of trainees with varying levels of experience was evaluated during a brain biopsy procedure in terms of number of attempts and duration of time until successful.[ 31 ] Results demonstrated that less experienced trainees required both a greater number of attempts and a longer duration to complete the task, suggesting further practice may affect the learning curve.

Neurosurgical devices

Apart from producing anatomical models for surgical planning or simulation, 3D printing has also been applied to the development of functional, patient-specific devices. One such application for brain tumor treatment has been the creation of a proton range compensator, which provides a conformal dose distribution during proton therapy to protect organs near the targeted tumor tissue.[ 8 ] Traditionally, the range compensator is fabricated with a computerized milling machine; however, this machine requires a large facility, noise suppression system, and water purification system. In contrast, Ju et al. was able to print a range compensator using 3D printing technology with similar characteristics and reduced system requirements.

Functional

Surgical planning and modeling

Prior to the surgical monitoring and treatment of patients with medication-resistant epilepsy, an interdisciplinary team typically decides where intracranial electrodes will be implanted. However, often times, this planning does not involve defining specific intended locations due to a difficulty in visualizing possible electrode placements. To address this issue, Naftulin et al. have described a streamlined, cost-effective method for printing a patient-specific replica of the brain and skull. As a result, clinicians can place electrodes directly onto the model to plan surgical coverage.[ 18 ]

Neurosurgical devices

Intracranial electrode arrays used for treatment and research purposes are generally fabricated with standard electrode spacing and patterning. Therefore, patients receive the same electrode grids regardless of their gyral and sulcal patterns and intended recording area. 3D printing technology has enabled researchers to create printed molds from which personalized silicone sheets with embedded electrodes can be produced.[ 5 17 ] For instance, in one case, an electrode array was designed with electrodes more densely covering primary motor cortex for motor-based brain computer interface recordings. This method provides flexibility in terms of the location and distribution of electrodes within the grid.

Rapid prototyping with additive manufacturing has also proven to be a valuable tool in noninvasive forms of recording brain activity, as in magnetoencephalography (MEG). To maximize the signal to noise (SNR) ratio and minimize the error introduced as a result of varying head positions within the MEG scanner, a printed patient-specific head cast was developed to conform to both the patient's head and the inside of the helmet.[ 27 ] This device acts to reduce patient movement during a session and, more critically, between sessions, which can lead to improved co-registration between the sensors and the source of the brain activity. Troebinger et al. estimated that this method reduced error to the order of a millimeter and increased SNR between sessions by a factor of 5 compared to conventional strategies.

Spine

Surgical training and simulation

Identification and understanding of anatomy is a fundamental component to learning about the surgical treatment of spine fractures. Neuroimaging techniques, such as CT and MRI, have substantially advanced the capabilities to recognize these fractures, however, they can still be challenging to interpret when visualized as 2D image slices. Li et al. investigated whether printed 3D representations of such images could promote a greater understanding of pathology by medical students compared to 2D CT images and 3D virtual renderings.[ 12 ] This large-scale study revealed that students were significantly better able to identify complex fracture anatomy with the printed models as compared to the 2D CT images. While no significant difference in accuracy existed between the students using the printed model and virtual rendering, students with the printed model completed the study in a shorter duration. An additional study qualitatively assessed the effect of 3D printed models on understanding for surgical trainees.[ 13 ] Nearly all trainees responded that the physical models enhanced their spatial knowledge of patient anatomy more than viewing the 2D CT images alone.

Procedural skills for spinal surgery have similarly been addressed with 3D printing technology in the form of simulation. Analogous to their ventriculostomy simulator, Bova et al. have developed a tool that utilizes a 3D spinal construct paired via surgical instruments to a virtual interface that displays corresponding patient images.[ 3 ] This technique enables trainees to determine the correct surgical trajectory based on image-guided software, mimicking a realistic surgical environment.

Neurosurgical devices

Pedicle screw fixation is a common spinal procedure that has a potential risk of injury associated with the accuracy of implantation. Drill templates have been previously developed to combat this issue; however, significant deviations have still been recorded. Therefore, Sugawara et al. have designed a multistep, patient-specific screw guide that locks onto the lamina to prevent erroneous movement.[ 23 ] These templates were printed for individual vertebrae and evaluated using 58 pedicle thoracic screws on 10 patients. Initial findings confirm no incidences of injury and an average deviation of less than 1 mm.

Biological implants

The field of spinal surgery has additionally begun to explore tissue-engineered solutions using 3D printing for the treatment of intervertebral disk (IVD) degeneration. Efforts have currently focused on a method to regenerate the IVD as an alternative to spinal fusion and artificial disk replacement. This regeneration has been attempted with elastic scaffolds created from depositing successive substrate layers and seeding the scaffold with cells.[ 34 ] Preliminary testing has demonstrated that scaffolds have comparable properties to native tissue. Further investigation is still required to produce a clinically available implant.

Catheter and endoscopic applications

Surgical training and simulation

Another common and related neurosurgical procedure that has been the subject of interest for simulation development using rapid prototyping is ventriculostomy.[ 3 21 28 32 ] These simulators all consist of a reusable base segment that represents either the face or lower portion of the skull and a disposable segment where users execute the procedure. An important advancement in some of these devices has been the addition of a fluid-filled ventricular system that can provide variable ventricular pressures to simulate pathology.[ 21 32 ] In contrast, another simulator described in Bova et al. leveraged an electromagnetic tracking system registered to a virtual depiction of the positioning once the layers of skin, skull, and dura mater are traversed.[ 3 ] Previously designed simulators were state-of-the-art virtual haptic-based systems; however, these systems have high-associated costs that are not feasible for many institutions. The introduction of 3D printing has, thus, triggered the development of more affordable simulators that still retain realistic representations.

Transnasal sphenoid endoscopy for pituitary tumor removal has been another important area that has pioneered the integration of 3D printing in simulation development. In associated studies, skull replicas have been created to practice and assess surgical approaches guided by endoscopy.[ 6 29 ] An advantage to using a printed skull for these simulations is its ability to be registered to the surgical navigation system.[ 28 29 ] This capability more accurately reflects the surgical procedure and allows the model to be paired in real-time with the corresponding neuroimages.

DISCUSSION

Rapid prototyping 3D-printing technologies provide a practical and anatomically accurate means to produce patient-specific and disease-specific models. These models allow for surgical planning, training and simulation, tissue-engineered transplants, and devices for the assessment and treatment of neurosurgical disease. Expansion of this technology in neurosurgery will serve practitioners, trainees, and patients.

Recent publications have described a range of applications for 3D printing in the various subspecialties of neurosurgery. These fields include cerebrovascular, neuro-oncologic, spinal, functional, and endoscopic neurosurgery, and relate to the treatment of pathologic cerebral vasculature, brain tumors, spinal cord conditions, treatment-resistant neurologic disorders, and remotely located pathology, respectively. Each field has uniquely applied 3D printing to advance surgical planning, training, and treatment.

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.

References

1. Abla AA, Lawton MT. Three-dimensional hollow intracranial aneurysm models and their potential role for teaching, simulation, and training. World Neurosurg. 2015. 83: 35-6

2. Anderson JR, Thompson WL, Alkattan AK, Diaz O, Klucznik R, Zhang YJ. Three-dimensional printing of anatomically accurate, patient specific intracranial aneurysm models. J Neurointerv Surg. 2016. 8: 517-20

3. Bova FJ, Rajon DA, Friedman WA, Murad GJ, Hoh DJ, Jacob RP. Mixed-reality simulation for neurosurgical procedures. Neurosurgery. 2013. 73: 138-45

4. Gatto M, Memoli G, Shaw A, Sadhoo N, Gelat P, Harris RA. Three-Dimensional Printing (3DP) of neonatal head phantom for ultrasound: Thermocouple embedding and simulation of bone. Med Eng Phys. 2012. 34: 929-37

5. Hirata M, Morris S, Sugata H, Matsushita K, Yanagisawa T, Kishima H. Patient-specific contour-fitting sheet electrodes for electrocorticographic brain machine interfaces. Conf Proc IEEE Eng Med Biol Soc 2014. 2014. p. 5204-7

6. Inoue D, Yoshimoto K, Uemura M, Yoshida M, Ohuchida K, Kenmotsu H. Three-dimensional high-definition neuroendoscopic surgery: A controlled comparative laboratory study with two-dimensional endoscopy and clinical application. J Neurol Surg A Cent Eur Neurosurg. 2013. 74: 357-65

7. Ionita CN, Mokin M, Varble N, Bednarek DR, Xiang J, Snyder KV. Challenges and limitations of patient-specific vascular phantom fabrication using 3D Polyjet printing. Proc SPIE Int Soc Opt Eng. 2014. 9038: 90380M-

8. Ju SG, Kim MK, Hong CS, Kim JS, Han Y, Choi DH. New technique for developing a proton range compensator with use of a 3-dimensional printer. Int J Radiat Oncol Biol Phys. 2014. 88: 453-8

9. Khan IS, Kelly PD, Singer RJ. Prototyping of cerebral vasculature physical models. Surg Neurol Int. 2014. 5: 11-

10. Klein GT, Lu Y, Wang MY. 3D Printing and Neurosurgery—Ready for Prime Time?. World Neurosurg. 2013. 80: 233-5

11. Kondo K1, Nemoto M, Masuda H, Okonogi S, Nomoto J, Harada N. Anatomical Reproducibility of a Head Model Molded by a Three-dimensional Printer. Neurol Med Chir. 2015. 55: 592-8

12. Li Z, Li Z, Xu R, Li M, Li J, Liu Y. Three-dimensional printing models improve understanding of spinal fracture—A randomized controlled study in China. Sci Rep. 2015. 5: 11570-

13. Liew Y, Beveridge E, Demetriades AK, Hughes MA. 3D printing of patient-specific anatomy: A tool to improve patient consent and enhance imaging interpretation by trainees. Br J Neurosurg. 2015. 29: 712-4

14. Mashiko T, Otani K, Kawano R, Konno T, Kaneko N, Ito Y. Development of three-dimensional hollow elastic model for cerebral aneurysm clipping simulation enabling rapid and low cost prototyping. World Neurosurg. 2015. 83: 351-61

15. Mashiko T, Konno T, Kaneko N, Watanabe E. Training in Brain Retraction Using a Self-Made Three-Dimensional Model. World Neurosurg. 2015. 84: 585-90

16. Menikou G, Dadakova T, Pavlina M, Bock M, Damianou C. MRI compatible head phantom for ultrasound surgery. Ultrasonics. 2015. 57: 144-52

17. Morris S, Hirata M, Sugata H, Goto T, Matsushita K, Yanagisawa T. Patient Specific Cortical Electrodes for Sulcal and Gyral Implantation. IEEE Trans Biomed Eng. 2014. 62: 1034-41

18. Naftulin JS, Kimchi EY, Cash SS. Streamlined, Inexpensive 3D Printing of the Brain and Skull. PLoS One. 2015. 10: e0136198-

19. 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. 84: 178-86

20. Oishi M, Fukuda M, Yajima N, Yoshida K, Takahashi M, Hiraishi T. Interactive presurgical simulation applying advanced 3D imaging and modeling techniques for skull base and deep tumors. J Neurosurg. 2013. 119: 94-105

21. Ryan JR, Chen T, Nakaji P, Frakes DH, Gonzalez LF. Ventriculostomy Simulation Using Patient-specific ventricular anatomy, 3D Printing, and Hydrogel Casting. World Neurosurg. 2015. 84: 1333-9

22. Spottiswoode BS, Van Den Heever DJ, Chang Y, Engelhardt S, Du Plessis S, Nicolls F. Preoperative three-dimensional model creation of magnetic resonance brain images as a tool to assist neurosurgical planning. Stereotact Funct Neurosurg. 2013. 91: 162-9

23. Sugawara T, Higashiyama N, Kaneyama S, Takabatake M, Watanabe N, Uchida F. Multistep pedicle screw insertion procedure with patient-specific lamina fit-and-lock templates for the thoracic spine. J Neurosurg Spine. 2013. 19: 185-90

24. Tai BL, Rooney D, Stephenson F, Liao P, Sagher O, Shih AJ. Development of a 3D-printed external ventricular drain placement simulator: Technical note. J Neurosurg. 2015. 123: 1-7

25. Tan ET, Ling JM, Dinesh SK. The feasibility of producing patient-specific acrylic cranioplasty implants with a low-cost 3D printer. J Neurosurg. 2016. 124: 1531-7

26. Thawani JP, Pisapia JM, Singh N, Petrov D, Schuster JM, Hurst RW. 3D-Printed Modeling of an Arteriovenous Malformation Including Blood Flow. World Neurosurg. 2016. 90: 675-83

27. Troebinger L, López JD, Lutti A, Bradbury D, Bestmann S, Barnes G. High precision anatomy for MEG. Neuroimage. 2014. 86: 583-91

28. Waran V, Pancharatnam D, Thambinayagam HC, Raman R, Rathinam AK, Balakrishnan YK. The utilization of cranial models created using rapid prototyping techniques in the development of models for navigation training. J Neurol Surg A Cent Eur Neurosurg. 2013. 75: 12-5

29. Waran V, Menon R, Pancharatnam D, Rathinam AK, Balakrishnan YK, Tung TS. The creation and verification of cranial models using three-dimensional rapid prototyping technology in field of transnasal sphenoid endoscopy. Am J Rhinol Allergy. 2012. 26: 132-6

30. Waran V, Narayanan V, Karuppiah R, Owen SL, Aziz T. Utility of multimaterial 3D printers in creating models with pathological entities to enhance the training experience of neurosurgeons. J Neurosurg. 2014. 120: 489-92

31. Waran V, Narayanan V, Karuppiah R, Pancharatnam D, Chandran H, Raman R. Injecting Realism in Surgical Training—Initial Simulation Experience With Custom 3D Models. J Surg Educ. 2014. 71: 193-7

32. Waran V, Narayanan V, Karuppiah R, Thambynayagam HC, Muthusamy KA, Rahman ZAA. Neurosurgical Endoscopic Training via a Realistic 3-Dimensional Model With Pathology. Simul Healthc. 2015. 10: 43-8

33. Weinstock P, Prabhu SP, Flynn K, Orbach DB, Smith E. Optimizing cerebrovascular surgical and endovascular procedures in children via personalized 3D printing. Neurosurgery. 2015. 16: 1-6

34. Whatley BR, Kuo J, Shuai C, Damon BJ, Wen X. Fabrication of a biomimetic elastic intervertebral disk scaffold using additive manufacturing. Biofabrication. 2011. 3: 015004-

35. Wurm G, Lehner M, Tomancok B, Kleiser R, Nussbaumer K. Cerebrovascular biomodeling for aneurysm surgery: Simulation-based training by means of rapid prototyping technologies. Surg Innov. 2011. 18: 294-306

36. Wurm G, Tomancok B, Pogady P, Holl K, Trenkler J. Cerebrovascular stereolithographic biomodeling for aneurysm surgery. Technical note. J Neurosurg. 2004. 100: 139-45

37. Xu WH, Liu J, Li ML, Sun ZY, Chen J, Wu JH. 3D printing of intracranial artery stenosis based on the source images of magnetic resonance angiograph. Ann Transl Med. 2014. 2: 74-

Leave a Reply

Your email address will not be published.