Abstract
Neurovascular compression (NVC) syndromes such as trigeminal neuralgia (TN) are causally treated with microvascular decompression (MVD). Semiautomatic segmentation of high-resolution magnetic resonance imaging (MRI) data and constructive interference in steady state (CISS)/time-of-flight (TOF) sequences are utilized for the three-dimensional (3D) visualization of underlying causative vessels at the root entry zones of the relevant cranial nerves. Augmented reality (AR) of neurovascular structures was introduced especially in the resection of brain tumors or aneurysmatic operations. In this report, the potential feasibility of the implementation of microscope-based AR into the intraoperative microsurgical set-up of MVD was investigated. This article recommends the preoperative evaluation of 3D visualization besides the microscopical view of the surgeon. The implementation of multiple imaging data by AR into the operating microscope may afflict the experienced surgeon's view, which should be examined prospectively.
Keywords: neuronavigation, augmented reality, 3d visualization, microvascular decompression, neurovascular compression
Introduction
Microvascular decompression (MVD) is the most effective microsurgical treatment option in patients with intractable trigeminal neuralgia, hemifacial spasm, and glossopharyngeal neuralgia [1-7]. These neurovascular compression (NVC) syndromes are caused by aberrant arterial and/or venous vessel loops at the root entry zones [1-7].
With the routine diagnostic application of high-resolution magnetic resonance imaging (MRI) sequences such as constructive interference in steady state (CISS), T2-weighted single slab three-dimensional (3D) turbo spin echo (SPACE), and time-of-flight (TOF) angiography, the underlying causative vasculature can be segmented by image processing methods, and individual 3D visualization representations can be generated and presented during the preoperative and intraoperative set-up of MVD [1-2].
Neuronavigation and augmented reality (AR) have been introduced to several neurosurgical procedures, especially in tumor resections and spinal and vascular procedures [8-13]. AR is technically enabled by introducing optical information of segmented anatomical objects into the optical image of the operating microscope [14-17]. Several studies dealt with imaging and image postprocessing of NVC syndromes, while intraoperative AR has not been thoroughly examined in MVD. This article deals with the feasibility and potential implementation of AR into the intraoperative procedure of MVD.
Technical report
In this study, a 63-year-old female patient with intractable left-sided trigeminal neuralgia in the maxillary and mandibular divisions underwent MVD. The preoperative high-resolution MRI data were segmented semiautomatically (manual segmentation of cranial nerves and vessels, automatic segmentation of the cerebrospinal fluid space) to highlight the cranial nerves, brainstem, and corresponding vascular structures for the application of neuronavigation and AR (Figure 1). After image fusion of the essential data sets, the interesting neurovascular regions (vessels, nerves, brainstem) were outlined manually (Brainlab Cranial Navigation, Munich, Germany) for the potential use of AR to enhance the surgeon's visual field during MVD.
Figure 1. Segmentation of transverse axial MRI-CISS sequence of a 63-year-old female patient with left-sided trigeminal neuralgia. In this image, the brainstem is marked in green color, the left trigeminal nerve in brown color, and the causative venous vessel in blue color.
MRI: magnetic resonance imaging; CISS: constructive interference in steady state
The patient was positioned supine with the head fixed in a head holder clamp and the head turned to the contralateral side [7].
A reference array was attached on the right side for left-sided MVD. Head-up displays, showing the AR data, were integrated into the surgical microscope (Kinevo 900, Zeiss, Oberkochen, Germany). The registration array, which was attached to the surgical microscope, was tracked by optical navigation, which took about seven minutes. All microsurgically relevant structures (cranial nerves, vessel loops, brainstem parenchyma) were delineated using the AR display in the microscope.
The causative vessel in the treated patient was a venous branch of the superior petrosal vein, which was successfully mobilized from the trigeminal root entry zone. Teflon was used as interponation material. The intraoperative neuromonitoring values including brainstem evoked potentials were regular. The patient was pain-free in the postoperative period, the pain medication was immediately tapered after surgery, and the patient was discharged symptom-free on postoperative day 5.
Discussion
The educative aspect of preoperative surgical planning by virtual reality certainly represents a sensible tool [1-2]. 3D visualization in MVD may alleviate complex microsurgical orientation at the ventral and ventrolateral surface of the brainstem. AR especially can assist in the education and training of young surgeons allowing for practice outside the operating room.
With the multiple picture-in-picture fade-in, the clear anatomical, microsurgical view can get affected. However, the fading of intraoperative AR into the surgical microscope requires additional time and personal assistance, although the amount and selection of visualized objects can be adjusted [14].
MVD is an anatomically clear microsurgical procedure, where neuronavigation from a personal point of view might support a better estimation of the courses of the transverse and sigmoid sinuses for minimizing the craniotomy site.
In the classical approach, a thorough planning of the surgical procedure is highly recommended.
The implementation of a prospective study dealing with microscope-based AR in MVD is needed, in which this technique still will remain questionable in this procedure.
Conclusions
AR assistance in MVD may alleviate complex microsurgical orientation at the ventral and ventrolateral surface of the brainstem in the preoperative surgical planning. The intraoperative integration into the microscope is a time-consuming factor and should be well-considered in non-tumorous and non-aneurysmatic vascular operations such as MVD.
Disclosures
Human subjects: Consent was obtained or waived by all participants in this study. Ethics Committee of the University of Marburg issued approval Az.: 23-32-RS.
Animal subjects: All authors have confirmed that this study did not involve animal subjects or tissue.
Conflicts of interest: In compliance with the ICMJE uniform disclosure form, all authors declare the following:
Payment/services info: All authors have declared that no financial support was received from any organization for the submitted work.
Financial relationships: All authors have declared that they have no financial relationships at present or within the previous three years with any organizations that might have an interest in the submitted work.
Other relationships: All authors have declared that there are no other relationships or activities that could appear to have influenced the submitted work.
Author Contributions
Concept and design: Levent Tanrikulu
Acquisition, analysis, or interpretation of data: Levent Tanrikulu
Drafting of the manuscript: Levent Tanrikulu
Supervision: Levent Tanrikulu
References
- 1.Intraoperative three-dimensional visualization in microvascular decompression. Tanrikulu L, Hastreiter P, Troescher-Weber R, Buchfelder M, Naraghi R. J Neurosurg. 2007;107:1137–1143. doi: 10.3171/JNS-07/12/1137. [DOI] [PubMed] [Google Scholar]
- 2.Virtual neuroendoscopy: MRI-based three-dimensional visualization of the cranial nerves in the posterior cranial fossa. Tanrikulu L, Hastreiter P, Richter G, Doerfler A, Naraghi R. Br J Neurosurg. 2008;22:207–212. doi: 10.1080/02688690701632807. [DOI] [PubMed] [Google Scholar]
- 3.Etiology and definitive microsurgical treatment of hemifacial spasm. Operative techniques and results in 47 patients. Jannetta PJ, Abbasy M, Maroon JC, Ramos FM, Albin MS. J Neurosurg. 1977;47:321–328. doi: 10.3171/jns.1977.47.3.0321. [DOI] [PubMed] [Google Scholar]
- 4.Neurovascular compression in cranial nerve and systemic disease. Jannetta PJ. Ann Surg. 1980;192:518–525. doi: 10.1097/00000658-198010000-00010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Jannetta PJ. The Cranial Nerves. Berlin, Heidelberg: Springer; 1981. Hemifacial spasm; pp. 484–493. [Google Scholar]
- 6.Trigeminal neuralgia. Jannetta PJ. Neurosurgery. 1986;18:677. doi: 10.1097/00006123-198605000-00028. [DOI] [PubMed] [Google Scholar]
- 7.Microvascular decompression of cranial nerves: lessons learned after 4400 operations. McLaughlin MR, Jannetta PJ, Clyde BL, Subach BR, Comey CH, Resnick DK. J Neurosurg. 1999;90:1–8. doi: 10.3171/jns.1999.90.1.0001. [DOI] [PubMed] [Google Scholar]
- 8.Computer-assisted stereotactic microsurgery for the treatment of intracranial neoplasms. Kelly PJ, Alker GJ Jr, Goerss S. Neurosurgery. 1982;10:324–331. doi: 10.1227/00006123-198203000-00005. [DOI] [PubMed] [Google Scholar]
- 9.A frameless stereotaxic integration of computerized tomographic imaging and the operating microscope. Roberts DW, Strohbehn JW, Hatch JF, Murray W, Kettenberger H. J Neurosurg. 1986;65:545–549. doi: 10.3171/jns.1986.65.4.0545. [DOI] [PubMed] [Google Scholar]
- 10.Augmented reality in the surgery of cerebral aneurysms: a technical report. Cabrilo I, Bijlenga P, Schaller K. Neurosurgery. 2014;10 Suppl 2:252–260. doi: 10.1227/NEU.0000000000000328. [DOI] [PubMed] [Google Scholar]
- 11.Augmented reality in the surgery of cerebral arteriovenous malformations: technique assessment and considerations. Cabrilo I, Bijlenga P, Schaller K. Acta Neurochir (Wien) 2014;156:1769–1774. doi: 10.1007/s00701-014-2183-9. [DOI] [PubMed] [Google Scholar]
- 12.Augmented reality-assisted bypass surgery: embracing minimal invasiveness. Cabrilo I, Schaller K, Bijlenga P. World Neurosurg. 2015;83:596–602. doi: 10.1016/j.wneu.2014.12.020. [DOI] [PubMed] [Google Scholar]
- 13.Augmented reality in neurosurgery, state of art and future projections. A systematic review. Cannizzaro D, Zaed I, Safa A, et al. Front Surg. 2022;9:864792. doi: 10.3389/fsurg.2022.864792. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Preoperative 3-dimensional angiography data and intraoperative real-time vascular data integrated in microscope-based navigation by automatic patient registration applying intraoperative computed tomography. Carl B, Bopp M, Chehab S, Bien S, Nimsky C. World Neurosurg. 2018;113:0–25. doi: 10.1016/j.wneu.2018.02.045. [DOI] [PubMed] [Google Scholar]
- 15.Augmented reality visualization for guidance in neurovascular surgery. Kersten-Oertel M, Chen SS, Drouin S, Sinclair DS, Collins DL. https://pubmed.ncbi.nlm.nih.gov/22356991/ Stud Health Technol Inform. 2012;173:225–229. [PubMed] [Google Scholar]
- 16.Navigation-linked heads-up display in intracranial surgery: early experience. Mascitelli JR, Schlachter L, Chartrain AG, et al. Oper Neurosurg (Hagerstown) 2018;15:184–193. doi: 10.1093/ons/opx205. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Impact of virtual and augmented reality based on intraoperative magnetic resonance imaging and functional neuronavigation in glioma surgery involving eloquent areas. Sun GC, Wang F, Chen XL, et al. World Neurosurg. 2016;96:375–382. doi: 10.1016/j.wneu.2016.07.107. [DOI] [PubMed] [Google Scholar]

