Virtual reality-based evaluation of neurovascular conflict for the surgical planning of microvascular decompression in trigeminal neuralgia patients

Neurosurgical Review (2021)Cite this article

Abstract

Objective

Trigeminal neuralgia (TN) is a lightning bolt of violent, electrifying, and stinging pain, often secondary to the neurovascular conflict (NVC). The vessels involved in NVC are mostly arteries and rarely veins. Evaluation of NVC in the deep infratentorial region is inseparably connected with cranial imaging. We retrospectively analyzed the potential influence of three-dimensional (3D) virtual reality (VR) reconstructions compared to conventional magnetic resonance imaging (MRI) scans on the evaluation of NVC for the surgical planning of microvascular decompression in patients with TN.

Methods

Medical files were retrospectively analyzed regarding patient- and disease-related data. Preoperative MRI scans were retrospectively visualized via VR software to detect the characteristics of NVC. A questionnaire of experienced neurosurgeons evaluated the influence of VR visualization technique on identification of anatomical structures involved in NVC and on surgical strategy.

Results

Twenty-four patients were included and 480 answer sheets were evaluated. Compared to conventional MRI, image presentation using 3D-VR modality significantly influenced the identification of the affected trigeminal nerve (p = 0.004), the vascular structure involved in the NVC (p = 0.0002), and the affected side of the trigeminal nerve (p = 0.005).

Conclusions

In patients with TN caused by NVC, the reconstruction of conventional preoperative MRI scans and the spatial and anatomical presentation in 3D-VR models offers the possibility of increased understanding of the anatomy and even more the underlying pathology, and thus influences operation planning and strategy.

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Data, material, and/or code availability

Not applicable.

References

  1. 1.

    Alaraj A, Luciano CJ, Bailey DP, Elsenousi A, Roitberg BZ, Bernardo A, Banerjee PP, Charbel FT (2015) Virtual reality cerebral aneurysm clipping simulation with real-time haptic feedback. Neurosurgery 11(Suppl 2):52–58. https://doi.org/10.1227/NEU.0000000000000583

    Article  PubMed  PubMed Central  Google Scholar 

  2. 2.

    Alshukry A, Salburgo F, Jaloux L, Lavieille J-P, Montava M (2017) Trigeminal neuralgia (TN): A descriptive literature analysis on the diagnosis and management modalities. J Stomatol Oral Maxillofac Surg 118(4):251–254. https://doi.org/10.1016/j.jormas.2017.06.010

    CAS  Article  PubMed  Google Scholar 

  3. 3.

    Barker FG, Jannetta PJ, Bissonette DJ, Larkins MV, Jho HD (1996) The long-term outcome of microvascular decompression for trigeminal neuralgia. N Engl J Med 334(17):1077–1083. https://doi.org/10.1056/NEJM199604253341701

    Article  PubMed  Google Scholar 

  4. 4.

    Besta R, Shankar YU, Kumar A, Rajasekhar E, Prakash SB (2016) MRI 3D CISS-a novel imaging modality in diagnosing trigeminal neuralgia - a review. J Clin Diagn Res 10(3):ZE01–ZE03. https://doi.org/10.7860/JCDR/2016/14011.7348

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  5. 5.

    Burtscher J, Kremser C, Seiwald M, Obwegeser A, Wagner M, Aichner F, Twerdy K, Felber S (1998) Three-dimensional computer assisted magnetic resonance imaging for neurosurgical planning in parasagittal and parafalcine central region tumors. Comput. Aided Surg. 3(1):27–32. https://doi.org/10.1002/(SICI)1097-0150(1998)3:1<27:AID-IGS4>3.0.CO;2-N

    CAS  Article  PubMed  Google Scholar 

  6. 6.

    Christiano LD, Singh R, Sukul V, Prestigiacomo CJ, Gandhi CD (2011) Microvascular decompression for trigeminal neuralgia: visualization of results in a 3D stereoscopic virtual reality environment. Minim Invasive Neurosurg 54(1):12–15. https://doi.org/10.1055/s-0031-1273731

    CAS  Article  PubMed  Google Scholar 

  7. 7.

    Cohen-Gadol AA (2011) Microvascular decompression surgery for trigeminal neuralgia and hemifacial spasm: naunces of the technique based on experiences with 100 patients and review of the literature. Clin Neurol Neurosurg 113(10):844–853. https://doi.org/10.1016/j.clineuro.2011.06.003

    Article  PubMed  Google Scholar 

  8. 8.

    Cole CD, Liu JK, Apfelbaum RI (2005) Historical perspectives on the diagnosis and treatment of trigeminal neuralgia. Neurosurg Focus 18(5):E4. https://doi.org/10.3171/foc.2005.18.5.5

    Article  PubMed  Google Scholar 

  9. 9.

    Cruccu G (2017) Trigeminal neuralgia. Continuum (Minneap Minn) 23(2, Selected Topics in Outpatient Neurology):396–420. https://doi.org/10.1212/CON.0000000000000451

    Article  Google Scholar 

  10. 10.

    de Ribaupierre S, Eagleson R (2017) Editorial: Challenges for the usability of AR and VR for clinical neurosurgical procedures. Healthc Technol Lett 4(5):151. https://doi.org/10.1049/htl.2017.0077

    Article  PubMed  PubMed Central  Google Scholar 

  11. 11.

    Donahue JH, Ornan DA, Mukherjee S (2017) Imaging of vascular compression syndromes. Radiol Clin North Am 55(1):123–138. https://doi.org/10.1016/j.rcl.2016.08.001

    Article  PubMed  Google Scholar 

  12. 12.

    Du Z-Y, Gao X, Zhang X-L, Wang Z-Q, Tang W-J (2010) Preoperative evaluation of neurovascular relationships for microvascular decompression in the cerebellopontine angle in a virtual reality environment. J Neurosurg 113(3):479–485. https://doi.org/10.3171/2009.9.JNS091012

    Article  PubMed  Google Scholar 

  13. 13.

    Dumot C, Sindou M (2018) Veins of the cerebellopontine angle and specific complications of sacrifice, with special emphasis on microvascular decompression surgery. A review. World Neurosurg 117:422–432. https://doi.org/10.1016/j.wneu.2018.06.160

    Article  PubMed  Google Scholar 

  14. 14.

    Fedorov A, Beichel R, Kalpathy-Cramer J, Finet J, Fillion-Robin J-C, Pujol S, Bauer C, Jennings D, Fennessy F, Sonka M, Buatti J, Aylward S, Miller JV, Pieper S, Kikinis R (2012) 3D slicer as an image computing platform for the Quantitative Imaging Network. Magn Reson Imaging 30(9):1323–1341. https://doi.org/10.1016/j.mri.2012.05.001

    Article  PubMed  PubMed Central  Google Scholar 

  15. 15.

    Fisher RA (1922) On the interpretation of χ2 from contingency tables, and the calculation of P. J Royal Statistical Soc 85(1):87–94

    Article  Google Scholar 

  16. 16.

    González Sánchez JJ, Enseñat Nora J, Candela Canto S, Rumià Arboix J, Caral Pons LA, Oliver D, Ferrer Rodríguez E (2010) New stereoscopic virtual reality system application to cranial nerve microvascular decompression. Acta Neurochir (Wien) 152(2):355–360. https://doi.org/10.1007/s00701-009-0569-x

    Article  Google Scholar 

  17. 17.

    Gubian A, Rosahl SK (2017) Meta-analysis on safety and efficacy of microsurgical and radiosurgical treatment of trigeminal neuralgia. World Neurosurg 103:757–767. https://doi.org/10.1016/j.wneu.2017.04.085

    Article  PubMed  Google Scholar 

  18. 18.

    Han K-W, Zhang D-F, Chen J-G, Hou L-J (2016) Presurgical visualization of the neurovascular relationship in trigeminal neuralgia with 3D modeling using free Slicer software. Acta Neurochir (Wien) 158(11):2195–2201. https://doi.org/10.1007/s00701-016-2936-8

    Article  Google Scholar 

  19. 19.

    Ibrahim TF, Garst JR, Burkett DJ, Toia GV, Braca JA, Hill JP, Anderson DE (2015) Microsurgical pontine descending tractotomy in cases of intractable trigeminal neuralgia. Oper Neurosurg (Hagerstown) 11(4):518–529. https://doi.org/10.1227/NEU.0000000000000926

    Article  Google Scholar 

  20. 20.

    Jannetta PJ, Rand RW (1966) Transtentorial retrogasserian rhizotomy in trigeminal neuralgia by microneurosurgical technique. Bull Los Angeles Neurol Soc 31(3):93–99

    CAS  PubMed  Google Scholar 

  21. 21.

    Jannetta PJ, McLaughlin MR, Casey KF (2005) Technique of microvascular decompression. Technical note. Neurosurg Focus 18(5):E5

    PubMed  Google Scholar 

  22. 22.

    Jie H, Xuanchen Z, Deheng L, Kun G, Fengyang X, Xiang C, Xiaoting W, Guangxin Z, Yiqing L (2013) The long-term outcome of nerve combing for trigeminal neuralgia. Acta Neurochir (Wien) 155(9):1703–1708; discussion 1707. https://doi.org/10.1007/s00701-013-1804-z

    Article  Google Scholar 

  23. 23.

    Kabatas S, Karasu A, Civelek E, Sabanci AP, Hepgul KT, Teng YD (2009) Microvascular decompression as a surgical management for trigeminal neuralgia: long-term follow-up and review of the literature. Neurosurg Rev 32(1):87–93; discussion 93-4. https://doi.org/10.1007/s10143-008-0171-3

    Article  PubMed  Google Scholar 

  24. 24.

    Kaufmann AM, Price AV (2019) A history of the Jannetta procedure. J Neurosurg 132:1–8. https://doi.org/10.3171/2018.10.JNS181983

    Article  Google Scholar 

  25. 25.

    Kersten-Oertel M, Jannin P, Collins DL (2013) The state of the art of visualization in mixed reality image guided surgery. Comput Med Imaging Graph 37(2):98–112. https://doi.org/10.1016/j.compmedimag.2013.01.009

    Article  PubMed  Google Scholar 

  26. 26.

    Kin T, Nakatomi H, Shono N, Nomura S, Saito T, Oyama H, Saito N (2017) Neurosurgical virtual reality simulation for brain tumor using high-definition computer graphics: a review of the literature. Neurol Med Chir (Tokyo) 57(10):513–520. https://doi.org/10.2176/nmc.ra.2016-0320

    Article  Google Scholar 

  27. 27.

    Kockro RA, Stadie A, Schwandt E, Reisch R, Charalampaki C, Ng I, Yeo TT, Hwang P, Serra L, Perneczky A (2007) A collaborative virtual reality environment for neurosurgical planning and training. Neurosurgery 61(5 Suppl 2):379–391; discussion 391. https://doi.org/10.1227/01.neu.0000303997.12645.26

    Article  PubMed  Google Scholar 

  28. 28.

    Kontzialis M, Kocak M (2017) Imaging evaluation of trigeminal neuralgia. J Istanb Univ Fac Dent 51(3 Suppl 1):S62–S68. https://doi.org/10.17096/jiufd.27242

    Article  PubMed  PubMed Central  Google Scholar 

  29. 29.

    Landis JR, Koch GG (1977) The measurement of observer agreement for categorical data. Biometrics 33(1):159–174. https://doi.org/10.2307/2529310

    CAS  Article  PubMed  Google Scholar 

  30. 30.

    Lang E, Naraghi R, Tanrikulu L, Hastreiter P, Fahlbusch R, Neundörfer B, Tröscher-Weber R (2005) Neurovascular relationship at the trigeminal root entry zone in persistent idiopathic facial pain: findings from MRI 3D visualisation. J Neurol Neurosurg Psychiatry 76(11):1506–1509. https://doi.org/10.1136/jnnp.2005.066084

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  31. 31.

    Leidinger A, Muñoz-Hernandez F, Molet-Teixidó J (2018) Ausencia de conflicto neurovascular durante la microdescompresión vascular en el manejo de la neuralgia trigeminal esencial: ¿qué hacer? Revisión sistemática de la literatura (Absence of neurovascular conflict during microvascular decompression while treating essential trigeminal neuralgia. How to proceed? Systematic review of literature). Neurocirugia (Astur) 29(3):131–137. https://doi.org/10.1016/j.neucir.2018.02.001

    Article  Google Scholar 

  32. 32.

    Lovely TJ, Jannetta PJ (1997) Microvascular decompression for trigeminal neuralgia. Surgical technique and long-term results. Neurosurg Clin N Am 8(1):11–29

    CAS  Article  Google Scholar 

  33. 33.

    Lutz J, Thon N, Stahl R, Lummel N, Tonn J-C, Linn J, Mehrkens J-H (2016) Microstructural alterations in trigeminal neuralgia determined by diffusion tensor imaging are independent of symptom duration, severity, and type of neurovascular conflict. J Neurosurg 124(3):823–830. https://doi.org/10.3171/2015.2.JNS142587

    Article  PubMed  Google Scholar 

  34. 34.

    Merskey H (2002) Clarifying definition of neuropathic pain. Pain 96(3):408–409. https://doi.org/10.1016/S0304-3959(01)00423-7

    Article  PubMed  Google Scholar 

  35. 35.

    Ohtani K, Mashiko T, Oguro K, Takemura A, Hatayama T, Sasaki T, Watanabe E (2016) Preoperative three-dimensional diagnosis of neurovascular relationships at the root exit zones during microvascular decompression for hemifacial spasm. World Neurosurg 92:171–178. https://doi.org/10.1016/j.wneu.2016.05.005

    Article  PubMed  Google Scholar 

  36. 36.

    Oishi M, Fukuda M, Ishida G, Saito A, Hiraishi T, Fujii Y (2011) Presurgical simulation with advanced 3-dimensional multifusion volumetric imaging in patients with skull base tumors. Neurosurgery 68(1 Suppl Operative):188–199; discussion 199. https://doi.org/10.1227/NEU.0b013e318207b3ad

    Article  PubMed  Google Scholar 

  37. 37.

    Ong CS, Deib G, Yesantharao P, Qiao Y, Pakpoor J, Hibino N, Hui F, Garcia JR (2018) Virtual reality in neurointervention. J Vasc Interv Neurol 10(1):17–22

    PubMed  PubMed Central  Google Scholar 

  38. 38.

    Sandhu SK, Lee JYK (2016) Measurement of trigeminal neuralgia pain: Penn Facial Pain Scale. Neurosurg Clin N Am 27(3):327–336. https://doi.org/10.1016/j.nec.2016.02.003

    Article  PubMed  Google Scholar 

  39. 39.

    Stadie AT, Kockro RA, Reisch R, Tropine A, Boor S, Stoeter P, Perneczky A (2008) Virtual reality system for planning minimally invasive neurosurgery. Technical note. J Neurosurg 108(2):382–394. https://doi.org/10.3171/JNS/2008/108/2/0382

    Article  PubMed  Google Scholar 

  40. 40.

    Yao S, Zhang J, Zhao Y, Hou Y, Xu X, Zhang Z, Kikinis R, Chen X (2018) Multimodal image-based virtual reality presurgical simulation and evaluation for trigeminal neuralgia and hemifacial spasm. World Neurosurg 113:e499–e507. https://doi.org/10.1016/j.wneu.2018.02.069

    Article  PubMed  Google Scholar 

  41. 41.

    Zanier ER, Zoerle T, Di Lernia D, Riva G (2018) Virtual reality for traumatic brain injury. Front Neurol 9:345. https://doi.org/10.3389/fneur.2018.00345

    Article  PubMed  PubMed Central  Google Scholar 

  42. 42.

    Zawy Alsofy S, Sakellaropoulou I, Stroop R (2020) 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 31(7):1865–1869. https://doi.org/10.1097/SCS.0000000000006525

    Article  PubMed  Google Scholar 

  43. 43.

    Zeng Q, Zhou Q, Liu Z, Li C, Ni S, Xue F (2013) Preoperative detection of the neurovascular relationship in trigeminal neuralgia using three-dimensional fast imaging employing steady-state acquisition (FIESTA) and magnetic resonance angiography (MRA). J Clin Neurosci 20(1):107–111. https://doi.org/10.1016/j.jocn.2012.01.046

    Article  PubMed  Google Scholar 

  44. 44.

    Zhong J, Zhu J, Sun H, Dou N-N, Wang Y-N, Ying T-T, Xia L, Liu M-X, Tao B-B, Li S-T (2014) Microvascular decompression surgery: surgical principles and technical nuances based on 4000 cases. Neurol Res 36(10):882–893. https://doi.org/10.1179/1743132814Y.0000000344

    Article  PubMed  Google Scholar 

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Acknowledgements

We thank Dr. Lidmila Fuskova for assistance with statistical analysis. The manuscript was proofread for English language by Deborah Nock (Medical WriteAway, Norwich, UK).

Funding

No funding was received for this research.

Author information

Affiliations

  1. Department of Medicine, Faculty of Health, Witten/Herdecke University, Witten, Germany

    Samer Zawy Alsofy & Ralf Stroop

  2. Department of Neurosurgery, St. Barbara-Hospital, Academic Hospital of Westfälische Wilhelms-University Münster, Hamm, Germany

    Samer Zawy Alsofy, Heinz Welzel Saravia, Christian Ewelt, Marc Lewitz, Ioanna Sakellaropoulou, Hraq Mourad Sarkis, Thomas Fortmann & Antonio Santacroce

  3. Department of Neurosurgery, Academic Hospital Köln-Merheim, Witten/Herdecke University, Köln, Germany

    Makoto Nakamura

  4. Department of Neurosurgery, University Hospital Münster, Münster, Germany

    Stephanie Schipmann & Eric Suero Molina

  5. Department of Neurosurgery, Eberhard-Karls-University, Tübingen, Germany

    Antonio Santacroce

  6. Department of Neurosurgery, St. Rita’s Neuroscience Institute, Lima, Ohio, USA

    Asem Salma

Authors
  1. Samer Zawy Alsofy
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  2. Heinz Welzel Saravia
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  3. Makoto Nakamura
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  4. Christian Ewelt
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  5. Marc Lewitz
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  6. Ioanna Sakellaropoulou
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  8. Thomas Fortmann
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  9. Stephanie Schipmann
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  10. Eric Suero Molina
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  11. Antonio Santacroce
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  12. Asem Salma
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  13. Ralf Stroop
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Contributions

All authors contributed to the study conception and design. Material preparation, data collection, and analysis were performed by Samer Zawy Alsofy, Heinz Welzel Saravia, and Ioanna Sakellaropoulou. The first draft of the manuscript was written by Samer Zawy Alsofy, and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Samer Zawy Alsofy.

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Ethics approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. This study was approved by the ethics commission of the Medical Faculty, Witten/Herdecke University (Ref-Nr. 201/2018).

Human and animal experiments

This article does not contain any studies with humans or animals performed by any of the authors.

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The ethics commission of the Medical Faculty, Witten/Herdecke University (Ref-Nr. 201/2018) confirmed that formal consent is not required for this retrospective study.

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Zawy Alsofy, S., Welzel Saravia, H., Nakamura, M. et al. Virtual reality-based evaluation of neurovascular conflict for the surgical planning of microvascular decompression in trigeminal neuralgia patients. Neurosurg Rev (2021). https://doi.org/10.1007/s10143-021-01500-w

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Keywords

  • Microvascular decompression
  • Neurovascular conflict
  • Surgical planning
  • Trigeminal neuralgia
  • Three-dimensional reconstruction
  • Virtual reality