The microsurgical clipping of intracranial aneurysms is a crucial part of vascular neurosurgery. The release of the results of the International Subarachnoid Aneurysm Trial in 2003 caused a shift in the paradigm of the management of ruptured intracranial aneurysms (17,18). Although this study suffered from a number of weaknesses in methodology and criticism in applicability, the management of ruptured and unruptured intracranial aneurysm has swung from microsurgical clipping to endovascular embolization as the preferred mode of treatment in many neurosurgical centers (6,15). The aneurysm patients who are referred for microsurgical clipping are usually those with aneurysms that are not suitable for embolization, which are sometimes complex and difficult. Neurosurgical training for microsurgical clipping becomes a great challenge.
Virtual reality simulation has long been used for training in military and civilian arenas, such as pilot training. The advantage of training in a no-risk virtual reality environment is appreciated by the surgical community. Recently, simulators have been developed for laparoscopic surgery, endoscopy, and interventional radiology. A similar application in neurosurgery (Dextroscope; Volume Interactions Pte. Ltd., Singapore, Singapore) is also available. This system uses patient-specific, coregistered, fused radiology data sets that may be viewed stereoscopically and can be manipulated in a virtual reality environment. It allows some degree of rehearsal of bone drilling and brain retraction using the erase function. The use of the Dextroscope in intracranial tumor cases was demonstrated previously (10). The application of the Dextroscope to operative planning and training for craniotomy and the microsurgical clipping of intracranial aneurysm has not been tested and described. We have developed a means to provide instruments and implants for preoperative planning and rehearsal of microsurgical clipping of intracranial aneurysms using the Dextroscope-based virtual reality environment.
MATERIALS AND METHODS
The details of the Dextroscope have been described previously (10). Briefly, a computer-generated stereoscopic image is displayed on a monitor (1024 × 768 pixels) and is reflected into the user's eyes via a mirror. The user works from a seated position, with his or her forearms positioned on comfortable armrests. Wearing liquid crystal display shutter glasses (Crystal Eyes; Sterographics Inc., San Rafael, CA), which are synchronized with the time-split display, the user looks into the mirror and sees a stereoscopic image that seems to float behind the mirror. The positions of the virtual holder and stylus in the user's hands are calibrated so that the user perceives them in the same spatial position and orientation.
Patient-specific radiology data sets were processed as described. A Standard 16-row multislice computed tomographic (CT) scanner (GE LightSpeed 16; GE Healthcare, Waukesha, WI) was used to obtain three-dimensional CT angiography data sets. Contrast solution (Omnipaque 300 [GE Healthcare], 100ml, 3.5-4m l/s) was given with a delay of 20 to 25 seconds. Data was acquired with a thickness of 0.625 mm from the foramen magnum to the vertex. Digital Imaging and Communications in Medicine data using patient-specific CT scans of the cranial bone and CT angiography of intracranial circulation were loaded into the Dextroscope workstation. Three-dimensional volume rendering was followed by data coregistration and fusion. A three-dimensional color-adjustment table allowed individual color and transparency adjustments for the cranial bone and cerebral arteries. Structures, such as aneurysms, could be selected, shaped, and colored. The process was straightforward because all data were CT-based.
Aneurysm clips and clip applicators were scanned using a standard 16-row multislice CT (GE LightSpeed 16). Using the Dextroscope, the data were processed by cropping out the empty space and useless information. Further coloring could then be performed. The data sets were saved as the aneurysm clip database. The aneurysm clip database could then be loaded into an individual patient data set.
RESULTS
The patient-specific data set was transferred, colored, and highlighted. The user could then visualize the anatomy with various available functions, including zoom, rotate, move, crop, and cut plane. The measurement function could be activated to measure the dimension of aneurysm.
Using the crop function for the cranial bone, the best angle and position could be selected with respect to clip placement at this juncture (Fig. 1A). The selected angles of positioning could be visualized from the left-sided logo, and that position would be the ideal position for the microscope.
The user then returned to the complete cranial view using the uncrop feature and positioned the head in accordance with the selected angles of positioning. Craniotomy can then be performed using the drill function. In the case of a right middle cerebral artery aneurysm, a pterional craniotomy was performed (Fig. 1B). The user could then provide feedback regarding the adequacy of different extension of the craniotomy and the effect of drilling of the sphenoidal ridge and temporal bone with respect to the visualization of the aneurysm, internal carotid artery, and middle cerebral artery.
The method used to bring in the clip and clip applicator is described here. In the registration session, the user could use freehand registration for the CT angiography and the suitable clips. One can then move the clip to the neck of aneurysm as appropriate (Fig. 1C). The same principle of freehand registration could be performed to the clip and clip applicator beforehand. In that case, the subsequent visualization of the aneurysm clip applicator could tell the user whether or not the clip applicator would be obstructing the working microscopic view in reality (Fig. 1D). By repeating the procedures in different angles and degrees of zoom, the user could gain a better understanding of the best approach for microsurgical clipping for the patient.
As in the above case of a middle cerebral artery aneurysm, we performed similar work in other data sets, including patients with internal carotid artery aneurysms (Fig. 2), anterior communicating artery aneurysms (Fig. 3), and vertebral artery aneurysms, amounting to a total of 13 cases. Difficult cases, such as a giant internal carotid artery aneurysm, were useful to obtain a better appreciation of the anatomy and neurosurgical approach.
DISCUSSION
Technology has improved our methods of understanding neurosurgical anatomy and approaches. With the advance of three-dimensional angiography technology, one can easily manipulate three-dimensional intracranial vasculature in the computer console, whether from CT angiography, magnetic resonance angiography, or catheter angiography (2,16,20,23). Advances in neuronavigation technology allow neurosurgeons to look at anatomic structures and lesions in a different plane, which allows better decision making for neurosurgical approaches (7,26). Neurosurgeons can now manipulate a two-dimensional projection of a three-dimensional cerebral vasculature with a different degree of rotation and magnification. This has certainly improved the neurosurgeon's preoperative anatomic understanding of the cerebral vasculature and pathology. The projected views, however, are still significantly inferior, in terms of visual quality, to the intraoperative binocular microscopic views. Traditional training methods for microsurgical clipping involve training of microsurgical techniques in animals, case observations, and a step-by-step increase in participation during the operation. This tradition of training has raised concern among professionals and the public. The problem is further complicated by a decrease in case load, which reduces the frequency of opportunities for neurosurgical trainees to observe and participate in the operation. Worse still is that the aneurysms now faced by the neurosurgeons would be the aneurysms that are not suitable for coiling, which may be large, wide-necked, and partially thrombosed aneurysms associated with intracranial stenosis or with important vessels coming out from the aneurysm complex. Virtual reality simulation has long been used for training in military and civilian arenas, such as air pilot training. The advantage of training in a no-risk virtual reality environment is appreciated by the surgical community. Recently, simulators have been developed for laparoscopic surgery, endoscopy, and interventional radiology (3-5,9,19,21,22). A similar application, the Dextroscope, is also available in neurosurgery. Virtual reality simulation seems to have come at the right time to provide a good solution for the appropriate training of the microsurgical clipping of aneurysms.
The Dextroscope allows real-time manipulation of the three-dimensional data set and provides a suite of registration, segmentation, and planning tools, including tools for simulating bone drilling. The three-dimensional views obtained from the stereoscopic virtual reality environment are in keeping with what one attained with the binocular microscopic views, as compared with the two-dimensional projections of the three-dimensional CT angiography. We further enhance its applicability by incorporating aneurysm clips and aneurysm clip applicators to the data set, in which movement in relationship to the three-dimensional CT angiography data (and, thus, the aneurysm) is feasible. It allows the option of preoperative rehearsal and training for microsurgical clipping.
The use of virtual reality simulation for the training of microsurgical clipping allows for the development of a pretrained novice so that basic psychomotor and visual-spatial skills, with reference to positioning, craniotomy, and clip application, have been developed and become reasonably automatic before proceeding to the operating room. In conjunction with cadaveric dissection training for microsurgical skills, this allows for more efficient and safer use of operating room training time, such that intraoperative training can be focused on avoidance of errors and other technical perils. However, when one considers the implementation of virtual reality simulation into the training program, it is important to realize that virtual reality simulation is most effective when incorporated into a well-designed training program of vascular neurosurgery with close supervision and participation of vascular neurosurgeons. A high fidelity laparoscopic training model has been shown to improve resident performance of basic skills in the animate operating room environment and provides evidence that virtual reality simulation training may lead to improved operating room performance (1). The next stage would be to develop a validated assessment tool for operative performance of microsurgical clipping and to assess the results of microsurgical clipping training with or without the availability of the stereoscopic virtual reality environment. Effectiveness, in terms of operative time and clinical outcome, would be another important aspect to be explored in the next stage of study.
The other spectrum of utilization would be for the vascular neurosurgeons to understand complex vascular cases. This virtual reality system allows the appreciation of the anatomy from different angles. It can highlight different areas of interest, such as the aneurysm, main trunk, important branches, and the relationship to bony structures. It allows better preoperative planning, better decisions regarding operative approaches, and a preoperative rehearsal. It may be used for the training and decision to use the keyhole approach. The system can also be used in the clinic and ward settings to facilitate the acquisition of informed consent for the operative procedures, allowing patients a view to help relieve anxiety and build confidence.
The same principle could be applied to other vascular cases, including cerebral arteriovenous malformations. It provides better appreciation of the arterial and venous anatomy and better pre-operative planning. However, the current hardware and software cannot account for the many intraoperative variations that can change management, including brain swelling, brain retraction, movement of structures on manipulation, and calcification of the aneurysm neck, that could alter clip application and aneurysm rupture. Future development would involve the simulation of brain retraction, clip opening and closure with the associated aneurysm deformation, haptics, simulation of intraoperative aneurysmal rupture, and so on (11-14,24,25). We believe that it will ultimately become an indispensable tool for neurosurgical training and planning in every major vascular neurosurgery center (8).
CONCLUSION
The virtual microsurgical clipping application enhances the understanding of the surgical anatomy and simulates the operative environment encountered in microsurgical clipping. It provides an opportunity for preoperative rehearsal, microsurgical training, and assessment.
Disclosure
George K.C. Wong and W.S. Poon are honorary key opinion leaders for Volume Interactions Pte. Ltd. and provide input for future research and development. None of the authors have received any direct funding from Volume Interactions Pte. Ltd.
REFERENCES
1. Andreatta PB, Woodrum DT, Birkmeyer JP, Yellamanchilli RK, Doherty GM, Gauger PG, Minter RM: Laparoscopic skills are improved with LapMentor training: Results of a randomized, double-blinded study. Ann Surg 243:854-863, 2006.
2. Benvenuti L, Chibbaro S, Carnesecchi S, Pulera F, Gagliardi R: Automated three-dimensional volume rendering of helical computed tomographic angiography for aneurysms: An advanced application of neuronavigation technology. Neurosurgery 57 [Suppl 1]:69-77, 2005.
3. Chou DS, Abdelshehid C, Clayman RV, McDougall EM: Comparison of results of virtual-reality simulator and training model for basic ureteroscopy training. J Endourol 20:266-271, 2006.
4. Colt HG, Crawford SW, Galbraith O 3rd: Virtual reality bronchoscopy simulation: A revolution in procedural training. Chest 120:1333-1339, 2001.
5. Dayal R, Faries PL, Lin SC, Bernheim J, Hollenbeck S, DeRubertis B, Trocciola S, Rhee J, Mckinsey J, Morrissey NJ, Kent KC: Computer simulation as a component of catheter-based training. J Vasc Surg 40:1112-1117, 2004.
6. Gnanalingham KK, Apostolopoulos V, Barazi S, O'Neill K: The impact of the international subarachnoid aneurysm trial (ISAT) on the management of aneurysmal subarachnoid hemorrhage in a neurosurgical unit in the UK. Clin Neurol Neurosurg 108:117-123, 2006.
7. Gumprecht HK, Widenka DC, Lumenta BC: BrainLab VectorVision neuronavigation system: Technology and clinical experiences in 131 cases. Neurosurgery 44:97-105, 1999.
8. Henn JS, Lemole GM Jr, Ferreira MA, Gonzalez LF, Schornak M, Preul MC, Spetzler RF: Interactive stereoscopic virtual reality: A new tool for neurosurgical education. J Neurosurg 96:144-149, 2002.
9. Jacomides L, Ogan K, Cadeddu JA, Pearle MS: Use of a virtual reality simulator for ureteroscopy training. J Urol 171:320-323, 2004.
10. Kockro RA, Serra L, Tseng-Tsai Y, Chan C, Yih-Yian S, Gim-Guan C, Lee E, Hoe LY, Hern N, Nowinski WL: Planning and simulation of neurosurgery in a virtual reality environment. Neurosurgery 46:118-137, 2000.
11. Koyama T, Gibo H, Okudera H, Kobayashi S: Computer generated microsurgical anatomy of the supraclinoid portion of the internal carotid artery. J Clin Neurosci 7:52-56, 2000.
12. Koyama T, Hongo K, Tanaka Y, Kobayashi S: Simulation of the surgical manipulation involved in clipping a basilar artery aneurysm: concepts of virtual clipping. Technical note. J Neurosurg 93:355-360, 2000.
13. Koyama T, Okudera H, Gibo H, Kobayashi S: Computer-generated microsurgical anatomy of the basilar artery bifurcation. Technical note. J Neurosurg 91:145-152, 1999.
14. Koyama T, Okudera H, Kobayashi S: Computer-generated surgical simulation of morphological changes in microstructures: Concepts of virtual retractor. Technical note. J Neurosurg 90:780-785, 1999.
15. Leung CH, Poon WS, Yu LM; International Subarachnoid Aneurysmal Trial: The ISAT trial. Lancet 361:430-432, 2003.
16. Matsumoto M, Sato M, Nakano M, Endo Y, Watanabe Y, Sasaki T, Suzuki K, Kodama N: Three-dimensional computerized tomography angiography-guided surgery of acutely ruptured cerebral aneurysms. J Neurosurg 94:718-727, 2001.
17. Molyneux AJ, Kerr RS, Yu LM, Clarke M, Sneade M, Yarnold JA, Sandercock P; International Subarachnoid Aneurysm Trial (ISAT) Collaborative Group: International subarachnoid aneurysm trial (ISAT) of neurosurgical clipping versus endovascular coiling in 2143 patients with ruptured intracranial aneurysms: A randomized comparison of effects on survival, dependency, seizures, rebleeding, subgroups, and aneurysm occlusion. Lancet 366:809-817, 2005.
18. Molyneux A, Kerr R, Stratton I, Sandercock P, Clarke M, Shrimpton J, Holman R; International Subarachnoid Aneurysm Trial (ISAT) Collaborative Group: International Subarachnoid Aneurysm Trial (ISAT) of neurosurgical clipping versus endovascular coiling in 2143 patients with ruptured intracranial aneurysms: A randomised trial. Lancet 360:1267-1274, 2002.
19. Patel AD, Gallagher AG, Nicholson WJ, Cates CU: Learning curves and reliability for virtual reality simulation in the performance assessment of carotid angiography. J Am Coll Cardiol 47:1796-1802, 2006.
20. Raabe A, Beck J, Rohde S, Berkefeld J, Seifert V: Three-dimensional rotational angiography guidance for aneurysm surgery. J Neurosurg 105:406-411, 2006.
21. Schijven MP, Jakimowicz JJ: Introducing the Xitact LS500 laparoscopy simulator: Toward a revolution in surgical education. Surg Technol Int 11:32-36, 2003.
22. Schijven MP, Jakimowicz JJ, Broeders IA, Tseng LN: The Eindhoven laparoscopic cholecystectomy training course-Improving operating room performance using virtual reality training: Results from the first E.A.E.S. accredited virtual reality trainings curriculum. Surg Endosc 19:1220-1226, 2005.
23. Schmid-Elsaesser R, Muacevic A, Holtmannspötter M, Uhl E, Steiger HJ: Neuronavigation based on CT angiography for surgery of intracranial aneurysms: Primary experience with unruptured aneurysms. Minim Invasive Neurosurg 46:269-277, 2003.
24. Spicer MA, Apuzzo ML: Virtual reality surgery: Neurosurgery and the contemporary landscape. Neurosurgery 52:489-497, 2003.
25. Wang P, Becker AA, Jones IA, Glover AT, Benford SD, Greenhalgh CM, Vloeberghs M: A virtual reality surgery simulation of cutting and retraction in neurosurgery with force-feedback. Comput Methods Programs Biomed 84:11-18, 2006.
26. Wong GK, Poon WS, Lam MK: The impact of an armless frameless neuronavigation system on routine brain tumor surgery: A prospective analysis of 51 cases. Minim Invasive Neurosurg 44:99-103, 2001.
COMMENTS
This is an interesting article that introduces us to surgical planning of the future. The authors correctly state that the numbers of surgical clipping decrease as endovascular coiling has proven to be an effective and safe technology of aneurysm occlusion in properly selected patients. Thus, neurovascular training will benefit from virtual craniotomy and microsurgical clipping application simulating the operative environment. Moreover, virtual craniotomy and clipping also provide more experienced surgeons with a unique opportunity to foresee some of the difficulties of selecting the proper clip and may even change the side or angle of approach, especially in paraclinoid and anterior communicating artery aneurysms.
Andreas Raabe
Frankfurt, Germany
The authors present an eloquent array of three-dimensional images that help recreate operative findings in patients with intracranial aneurysms. Trainees could use this technology to perform virtual craniotomies before real operative intervention. Unfortunately, previous applications of similar technologies have not proven useful for neurosurgical training, and we have no information that the virtual reality training proposed in this report will be useful. The goal of computer-generated surgical simulation is important and may be essential for future training purposes. It seems evident that the technology as presented needs further refinement and validation.
Robert A. Solomon
New York, New York
Wong et al. describe a technique by which computer-generated stereoscopic images may be used for preoperative planning and rehearsal of aneurysm clipping in a virtual reality environment. With the advances in microcatheter techniques and devices, coil embolization is increasingly used for the treatment of intracranial aneurysms. Concomitantly, the number of open operative cases being performed has decreased. This decrease is making it more difficult for young neurosurgeons to gain the operative experience needed to perform these complex procedures with confidence. Thus, the remaining aneurysms referred for operative clipping tend to be the most difficult to treat. The result is a deficit in the training needed for young neurosurgeons to develop their surgical skills.
The virtual reality technique reported by Wong et al. is one means by which neurosurgical training can be attained if operative cases are lacking. However, this technique is not a perfect simulation of the operative environment. It may help surgeons determine optimal positioning of patients, the bony removal needed for an operative approach, and the angle of clip application. Nonetheless, a virtual environment will never exactly reproduce the unpredictability associated with actual surgery. In the future, most complex aneurysms in need of operative clipping will likely be referred to large centers that perform enough cases each year for the attending surgeons to gain and maintain the necessary experience to treat such cases appropriately.
Elisa Beres
Robert F. Spetzler
Phoenix, Arizona
The authors have described the training of surgical trainees in the microsurgical clipping of cerebral aneurysms using virtual reality. This is unfortunately going to have to be part of the future as the training of surgeons is evolving. Firstly, with the restriction of work hours to 80 hours a week for residents in the United States, and fewer abroad, this will result in a decrease in the hours spent in the operating room. Secondly, as the authors state, with the endovascular treatment of aneurysms rapidly becoming the first line treatment, the surgical training of trainees in aneurysm surgery will be difficult. This may result in a new generation of microvascular surgeons with less skills and worse results than the surgeons of today and provide a self-fulfilling prophecy that endovascular treatment is better for the patient. This will be a disadvantage to the patients as some cases will always require surgical treatment. Therefore, virtual reality may be what is needed to keep surgeons somewhat experienced in the surgical management of aneurysms. However, virtual reality is just that, and no amount of time behind the computer can replace the tactile and emotional training required when treating aneurysms surgically, particularly with an intraoperative rupture.
Gavin W. Britz
Seattle, Washington
Recent clinical data has shown that treatment-related morbidity is smaller with endovascular treatment when compared with open surgery with aneurysms that are amenable to both modalities. This has resulted in a decrease in the number of surgically treated aneurysms in many centers across the world. Aneurysms that are not amenable to endovascular treatment tend to be surgically challenging, and this raises a very real problem among training programs: how will the next generation of neurovascular surgeons achieve the level of expertise required to successfully treat these difficult lesions in the face of a declining surgical case load?
This article is quite timely in this regard. Using a three-dimensional database generated from computed tomographic angiography slice data, the reconstructed cranium, blood vessels, clips, and instruments are placed in a virtual reality environment to simulate the experience of exposing and treating aneurysms. Ideally, time spent with the simulation would provide trainees the case volume required to become proficient at aneurysm surgery.
Unfortunately, the software in its current incarnation seems relatively primitive in truly replicating the surgical experience. Choice of trajectory is clearly important. However, positioning and removal of bone is only the first step in achieving adequate exposure. In real life, the brain is in the way, and visualization of important structures is a dynamic process, looking around corners and moving brain tissue and vessels to provide adequate visualization of the aneurysm and surrounding important structures. There is no tactile feedback to teach the user how to handle tissue, how to open the fissure and cisterns in the setting of acute subarachnoid blood, or how to safely dissect around the neck and dome of an aneurysm.
The system described in this article is clearly an important first step, and I encourage the authors to continue to develop and refine their system. However, it is unclear to me whether or not time spent with these simulations in their present form translates into increased proficiency in the clinical setting compared with other teaching methods. Perhaps some more objective measures would make this a stronger article. One simple idea would be to measure the amount of time it would take for three groups of residents to expose the anterior communicating artery on a cadaver through a pterional approach. The first group would perform the exposure five times on a cadaver. The second group would perform the exposure four times using the software and then the fifth time on a cadaver. The third group would watch the exposure on a cadaver four times and then perform the cadaveric exposure the fifth time. A comparison of the three groups would be quite enlightening.
Paul P. Huang
Patrick J. Kelly
New York, New York
TABLE. No caption av...Image Tools