Preview

Medical Visualization

Advanced search

Application of AR technology as a method of proctoring and navigation during surgical interventions: an experimental study

https://doi.org/10.24835/1607-0763-1634

Abstract

Background. Augmented reality (AR) technologies are being actively integrated into medicine, including neurosurgery, where their application can enhance the accuracy and safety of operations and improve training effectiveness. AR navigation and teleproctoring have the potential to minimize risks, reduce intervention time, and improve access to specialized care in remote regions.

Objective. To evaluate the effectiveness of AR technologies for neuronavigation, teleproctoring, and training inexperienced surgeons using animal models, as well as simulating basic neurosurgical procedures (lumbar puncture).

Materials and methods. A prospective study was conducted on laboratory animals: 10 rats and 1 sheep. Microsoft Hololens 2 AR glasses and the Medgital Vision application were used. Access to the aorta and carotid arteries was performed on 10 rats (5 with AR navigation, 5 without). An extracranial-intracranial anastomosis was performed on the sheep under AR-guided teleproctoring via Google Meet. Additionally, a lumbar puncture simulation was conducted by projecting patient CT data onto a participant’s body.

Results. The use of AR reduced operation time and incision size. Remote teleproctoring proved effective for intraoperative training and consultation. In the lumbar puncture simulation, anatomical landmarks were accurately projected onto the participant’s body.

Conclusion. AR technologies demonstrated high efficacy for neuronavigation, teleproctoring, and training. Their implementation in clinical practice could enhance surgical safety, reduce intervention time, and expand opportunities for remote collaboration among specialists.

About the Authors

A. N. Konovalov
N.N. Burdenko National Medical Research Center of Neurosurgery of the Ministry of Healthcare of the Russian Federation; I.M. Sechenov First Moscow State Medical University (Sechenov University)
Russian Federation

Anton N. Konovalov – Cand. of Sci. (Med.), neurosurgeon, research fellow, N.N. Burdenko National Medical Research Center of Neurosurgery;
senior research fellow at the laboratory of wearable biocompatible devices and bionic Prostheses, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow
https://orcid.org/0000-0002-0932-4752
E-mail: ANKonovalov@nsi.ru



D. N. Okishev
N.N. Burdenko National Medical Research Center of Neurosurgery of the Ministry of Healthcare of the Russian Federation
Russian Federation

Dmitry N. Okishev – Cand. of Sci. (Med.), neurosurgeon, research fellow, N.N. Burdenko National Medical Research Center of Neurosurgery, Moscow
https://orcid.org/0000-0003-0815-5624
E-mail: dokishev@nsi.ru



F. V. Grebenev
N.N. Burdenko National Medical Research Center of Neurosurgery of the Ministry of Healthcare of the Russian Federation
Russian Federation

Fyodor V. Grebenev – neurosurgeon, N.N. Burdenko National Medical Research Center of Neurosurgery, Moscow
https://orcid.org/0000-0003-2622-7804
e-mail: FGrebenev@nsi.ru



A. A. Artemyev
N.N. Burdenko National Medical Research Center of Neurosurgery of the Ministry of Healthcare of the Russian Federation
Russian Federation

Anton A. Artemyev – resident, N.N. Burdenko National Medical Research Center of Neurosurgery, Moscow
https://orcid.org/0000-0002-3537-7997
E-mail: antonartemev13@yandex.ru



T. Y. Abzalov
I.M. Sechenov First Moscow State Medical University (Sechenov University)
Russian Federation

Timur Yu. Abzalov – student, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow
https://orcid.org/0009-0008-1321-563X
E-mail: timurabzalov2002@mail.ru



I. A. Erokhin
I.M. Sechenov First Moscow State Medical University (Sechenov University)
Russian Federation

Ivan A. Erokhin – student, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow
https://orcid.org/0009-0003-9584-5865
e-mail: iaerokhin.03@mail.ru



S. D. Sergeeva
I.M. Sechenov First Moscow State Medical University (Sechenov University)
Russian Federation

Sofia S. Sergeeva – student, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow
https://orcid.org/0009-0007-4784-5640
e-mail: sophisergeeva@yandex.ru



I. F. Vilkovyskii
I.M. Sechenov First Moscow State Medical University (Sechenov University)
Russian Federation

Iurii F. Vilkovyskii – student, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow
https://orcid.org/0009-0009-2024-7936
e-mail: yuven204@gmail.com



E. Y. Timofeeva
N.N. Blokhin National Medical Research Center of Oncology of the Ministry of Healthcare of the Russian Federation
Russian Federation

Ekaterina Yu. Timofeeva – resident, N.N. Blokhin National Medical Research Center of Oncology, Moscow
https://orcid.org/0009-0002-0387-0768
E-mail: Katetimofeeva_04@mail.ru



A. A. Kormilitsyna
I.M. Sechenov First Moscow State Medical University (Sechenov University)
Russian Federation

Anastasia A. Kormilitsyna – student, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow
https://orcid.org/0009-0006-5375-7404
E-mail: anastasiakor02@mail.ru



V. M. Ivanov
Peter the Great St. Petersburg Polytechnic University
Russian Federation

Vladimir M. Ivanov – Dr. of Sci. (Phys.-Math.), Prof., Professor, Higher School of Theoretical Mechanics and Mathematical Physics, Peter the Great St. Petersburg Polytechnic University, St. Petersburg
https://orcid.org/0000-0001-8194-2718
E-mail: voliva@rambler.ru



References

1. References:

2. Olexa J. [et al.] Case Report: Use of novel AR registration system for presurgical planning during vestibular schwannoma resection surgery // Frontiers in Surgery. 2024. № 11. P. 1304039. https://doi.org/10.3389/fsurg.2024.1304039

3. Park BJ [et al.] Augmented reality improves procedural efficiency and reduces radiation dose for CT-guided lesion targeting: a phantom study using HoloLens 2 // Scientific Reports. 2020. № 10(1). P. 18620. https://doi.org/10.1038/s41598-020-75676-4

4. Konovalov A.N., Okishev D.N., Pilipenko Y.V., [et al.] Augmented reality as a method of neuronavigation in microsurgical treatment of cerebrovascular pathology: method description and application experience // Journal «Burdenko's Journal of Neurosurgery». 2025. Vol. 89, No. 1. P. 37–45.

5. Hassan A.E. [et al.] Augmented reality enhanced tele-proctoring platform to intraoperatively support a neuro-endovascular surgery fellow // Interventional Neuroradiology. 2022. № 28(3). P. 277–282. https://doi.org/10.1177/15910199211035304

6. Tokunaga T. [et al.] The introduction of surgical telementoring systems in rural hospitals // World Journal of Surgery. 2025. № 49(1). P. 84–88. https://doi.org/10.1002/wjs.12418

7. Percie du Sert N. [et al.] The ARRIVE guidelines 2.0: Updated guidelines for reporting animal research // PLoS Biology. 2020. № 18. P. e3000410. https://doi.org/10.1371/journal.pbio.3000410

8. Felinska E.A. [et al.] Telestration with augmented reality improves surgical performance through gaze guidance // Surgical Endoscopy. 2023. № 37(5). P. 3557–3566. https://doi.org/10.1007/s00464-022-09859-7

9. Cizmic A. [et al.] Telestration with augmented reality improves the performance of the first ten ex vivo porcine laparoscopic cholecystectomies: a randomized controlled study // Surgical Endoscopy. 2023. № 37(10). P. 7839–7848. https://doi.org/10.1007/s00464-023-10360-y

10. Wild C. [et al.] Telestration with augmented reality for visual presentation of intraoperative target structures in minimally invasive surgery: a randomized controlled study // Surgical Endoscopy. 2022. № 36(10). P. 7453–7461. https://doi.org/10.1007/s00464-022-09158-1

11. Lysenko A. [et al.] The use of augmented reality navigation technology in combination with endoscopic surgery for the treatment of an odontogenic cyst of the upper jaw: A technical report // Imaging Science in Dentistry. 2022. № 52(2). P. 225–230. https://doi.org/10.5624/isd.20210256

12. Ma L. [et al.] Augmented reality surgical navigation with accurate CBCT-patient registration for dental implant placement // Medical & Biological Engineering & Computing. 2019. № 57(1). P. 47–57. https://doi.org/10.1007/s11517-018-1861-9

13. Ivanov V.M. [et al.] Practical Application of Augmented/Mixed Reality Technologies in Surgery of Abdominal Cancer Patients // Journal of Imaging. 2022. № 8(7). P. 183. https://doi.org/10.3390/jimaging8070183

14. Ochandiano S. [et al.] Computer-Assisted Dental Implant Placement Following Free Flap Reconstruction: Virtual Planning, CAD/CAM Templates, Dynamic Navigation and Augmented Reality // Frontiers in Oncology. 2022. № 11. P. 754943. https://doi.org/10.3389/fonc.2021.754943

15. Grebenkov V.G. [et al.] Perioperative application of augmented reality technology in surgical treatment of locally advanced recurrent rectal cancer [Периоперационное применение технологии дополненной реальности в хирургическом лечении местнораспространенного рецидива рака прямой кишки] // Khirurgiia (Mosk). 2022. № 12(2). P. 44–53. https://doi.org/10.17116/hirurgia202212244

16. Ivanov V.M., Mamaev I.R., Knyazev A.V., [et al.] Overview of methods for imposition of a 3D model on a patient using augmented reality in surgery // Bulletin of Neurology, Psychiatry and Neurosurgery. — 2024. — No. 12. — P. 1534–1541.

17. Ivan M.E. [et al.] Augmented reality head-mounted display-based incision planning in cranial neurosurgery: a prospective pilot study // Neurosurgical Focus. 2021. № 51(2). P. E3. https://doi.org/10.3171/2021.5.FOCUS20735


Review

For citations:


Konovalov A.N., Okishev D.N., Grebenev F.V., Artemyev A.A., Abzalov T.Y., Erokhin I.A., Sergeeva S.D., Vilkovyskii I.F., Timofeeva E.Y., Kormilitsyna A.A., Ivanov V.M. Application of AR technology as a method of proctoring and navigation during surgical interventions: an experimental study. Medical Visualization. (In Russ.) https://doi.org/10.24835/1607-0763-1634

Views: 34

JATS XML


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 1607-0763 (Print)
ISSN 2408-9516 (Online)