Abstract
At present, a vast amount and wide variety of medical images are used for surgical assessment. Before surgery, neurosurgeons must carefully read a vast amount of such image data and generate three-dimensional images by fusing the data in their heads to evaluate the applicability of surgery. In association with these tasks, the recent advances in computer technology have led to many studies on virtual reality surgical simulation using medical fusion three-dimensional computer graphics (medical fusion 3DCG), which fuses multiple medical image data to visualize them as three-dimensional images (Fig. 1). This article reviews the technology, clinical usefulness, and issues of virtual reality surgical simulation using medical fusion 3DCG. Meanwhile, the scope of this article is restricted to the clinical application of virtual reality surgical simulation. The educational objectives and basic research of this procedure are not discussed.
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References
Mitsuru S, Kensuke T, Hidetoshi M, et al. Three-dimensional multimodality fusion imaging as an educational and planning tool for deep-seated meningiomas. Br J Neurosurg. 2018;32(5):509–15.
So F, Keisuke T, Taichi K, et al. Three-dimensional angioarchitecture and microsurgical treatment of arteriovenous fistulas at the craniocervical junction. J Clin Neurosci. 2018;53:140–6.
Tae-Bin W, Peter H, Hyun LJ, et al. Early experience with a patient-specific virtual surgical simulation for rehearsal of endoscopic skull-base surgery. Int Forum Allergy Rhinol. 2017;8(1):54–63.
Rotariu DI, Ziyad F, Budu A, Poeata I, et al. The role of OsiriX based virtual endoscopy in planning endoscopic Transsphenoidal surgery for pituitary adenoma. Turk Neurosurg. 2017;27(3):339–45.
Lukas G, Christoph K, Jan B, et al. Microsurgery simulator of cerebral aneurysm clip** with interactive cerebral deformation featuring a virtual arachnoid. World Neurosurg. 2018;120:1163–70.
Shu**g Y, Jiashu Z, Yining Z, et al. Multimodal image-based virtual reality Presurgical simulation and evaluation for trigeminal neuralgia and Hemifacial spasm. World Neurosurg. 2018;113:499–507.
Mark N, Roman R, Gergely Z, et al. A pipeline for 3D multimodality image integration and computer-assisted planning in epilepsy surgery. J Visualized Exp. 2016;111:e53450.
Keisuke O, Toshihiro M, Keiji O, et al. Preoperative three-dimensional diagnosis of neurovascular relationships at the root exit zones during microvascular decompression for Hemifacial spasm. World Neurosurg. 2016;92:171–8.
Yoshino M, Kin T, Hara T. Usefulness of high-resolution three-dimensional multi-fusion medical imaging for preoperative planning in patients with cerebral arteriovenous malformation. World Neurosurg. 2019;124:e755–63.
Wang B, Chen Y, Gai S, et al. Preoperative evaluation of neurovascular relationships for microvascular decompression: visualization using Brainvis in patients with idiopathic trigeminal neuralgia. Clin Neurol Neurosurg. 2021;210:106957.
Steineke TC, Barbery D. Microsurgical clip** of middle cerebral artery aneurysms: preoperative planning using virtual reality to reduce procedure time. Neurosurg Focus. 2021;51(2):E12.
Hasegawa H, Shin M, Kin T, et al. Fully endoscopic minimally invasive tumor resection for cystic cerebellar Hemangioblastoma. World Neurosurg. 2019;126:484–90.
Uchida T, Kin T, Koike T, et al. Identification of the facial colliculus in two-dimensional and three-dimensional images. Neurol Med Chir (Tokyo). 2021;61(6):376–84.
Koike T, Tanaka S, Kin T, et al. Accurate preoperative identification of motor speech area as termination of arcuate fasciculus depicted by Q-ball imaging tractography. World Neurosurg. 2022;164:S1878–8750.
de Oliveira F, Bruno S, da Costa S, Devanir M, Silva CR, et al. Clinical application of an open-source 3D volume rendering software to neurosurgical approaches. World Neurosurg. 2017;110:864–72.
Ye L, Yining Z, Jiashu Z, et al. Low-cost interactive image-based virtual endoscopy for the diagnosis and surgical planning of Suprasellar arachnoid cysts. World Neurosurg. 2016;88:76–82.
Lukas A, Jan G, Andres Robert H, et al. Stereolithographic models in the interdisciplinary planning of treatment for complex intracranial aneurysms. Acta Neurochir. 2016;158:1711–20.
Eleftherios A, Eike S, Michael K, et al. A modified microsurgical endoscopic-assisted Transpedicular Corpectomy of the thoracic spine based on virtual 3-dimensional planning. World Neurosurg. 2016;91:424–33.
Liang W, Xun Y, Qiang H, et al. Three-dimensional intracranial middle cerebral artery aneurysm models for aneurysm surgery and training. J Clin Neurosci. 2018;50:77–82.
Liang W, Xun Y, Qiang H, et al. Comparison of two three-dimensional printed models of complex intracranial aneurysms for surgical simulation. World Neurosurg. 2017;103:671–9.
**ang L, Wanchun Z, **tao H, et al. Application of computer assisted three-dimensional simulation operation and biomechanics analysis in the treatment of sagittal craniosynostosis. J Clin Neurosci. 2017;44:323–9.
Makoto I, Takafumi N, Norio I, et al. A surgical strategy using a fusion image constructed from 11C-methionine PET, 18F-FDG-PET and MRI for glioma with no or minimum contrast enhancement. J Neuro-Oncol. 2018;138(3):537–48.
Eastwood Kyle W, Bodani Vivek P, Drade JM. Three-dimensional simulation of collision-free paths for combined endoscopic third Ventriculostomy and pineal region tumor biopsy: implications for the design specifications of future flexible endoscopic instruments. Oper Neurosurg. 2016;12:231–8.
Naoyuki S, Taichi K, Seiji N. et al, Microsurgery simulator of cerebral aneurysm clip** with interactive cerebral deformation featuring a virtual arachnoid. Oper Neurosurg. 14(5):579–89.
Tel A, Bagatto D, Tuniz F, et al. The evolution of craniofacial resection: a new workflow for virtual planning in complex craniofacial procedures. J Craniomaxillofac Surg. 2019;47(9):1475–83.
Kin T(correspondence), Nakatomi H, Shono N, Nomura S, Saito T, Oyama H, Saito N. Neurosurgical virtual reality simulation for brain tumor using high-definition computer graphics: a review of the literature. Neurol Med Chir (Tokyo). 2017;57(10):513–20.
Gosal JS, Tiwari S, Sharma T, et al. Simulation of surgery for supratentorial gliomas in virtual reality using a 3D volume rendering technique: a poor man’s neuronavigation. Neurosurg Focus. 2021;51(2):E23.
Alsofy SZ, Sakellaropoulou I. Stroop Ralf: evaluation of surgical approaches for tumor resection in the deep Infratentorial region and impact of virtual reality technique for the surgical planning and strategy. J Craniofac Surg. 2020;31(7):1865–9.
Sugiyama T, Clapp T, Nelson J, et al. Immersive 3-dimensional virtual reality modeling for case-specific Presurgical discussions in cerebrovascular neurosurgery. Oper Neurosurg. 2021;20(3):289–99.
Perin A, Galbiati TF, Roberta A, et al. Informed consent through 3D virtual reality: a randomized clinical trial. Acta Neurochir. 2020;163(2):301–8.
Alsofy SZ, Sakellaropoulou I, Nakamura M, et al. Impact of virtual reality in arterial anatomy detection and surgical planning in patients with Unruptured anterior communicating artery aneurysms. Brain Sci. 2020;10(12):963.
Uzunoglu I, Kizmazoglu C, Husemoglu RB, et al. Three-dimensional printing assisted preoperative surgical planning for cerebral arteriovenous malformation. J Korean Neurosurg Soc. 2021;64(6):882–90.
Alsofy SZ, Nakamura M, Suleiman A, et al. Cerebral anatomy detection and surgical planning in patients with anterior Skull Base Meningiomas using a virtual reality technique. J Clin Med. 2021;10(10):681–95.
Filimonov A, Zeiger J, Goldrich D, et al. Virtual reality surgical planning for endoscopic endonasal approaches to the craniovertebral junction. Am J Otolaryngol. 2022;43(1):103219.
Yoshino M, Nakatomi H, Kin T, Saito T, Shono N, Nomura S, Nakagawa D, Takayanagi S, Imai H, Oyama H, Saito N. Usefulness of high-resolution 3D multifusion medical imaging for preoperative planning in patients with posterior fossa hemangioblastoma: technical note. J Neurosurg. 2017;127:139–47.
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Kin, T. (2023). Virtual Reality Surgical Simulation and Planning. In: Shah, A., Goel, A., Kato, Y. (eds) Functional Anatomy of the Brain: A View from the Surgeon’s Eye. Springer, Singapore. https://doi.org/10.1007/978-981-99-3412-6_20
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DOI: https://doi.org/10.1007/978-981-99-3412-6_20
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