Application of augmented reality technology in the surgical treatment of patients with primary and recurrent pelvic tumors
- Authors: Grebenkov V.G.1, Rumyantsev V.N.1, Ivanov V.M.2, Surov D.A.1, Strelkov S.V.2, Korzhuk M.S.1, Balura O.V.1, Svyatnenko A.V.1,3, Dymnikov D.A.1, Demko A.E.1,3
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Affiliations:
- Military Medical Academy of S.M. Kirov
- Peter the Great Saint Petersburg Polytechnic University
- Institute of Emergency Medicine of I.I. Dzhanelidze
- Issue: Vol 24, No 4 (2022)
- Pages: 697-706
- Section: Research paper
- URL: https://journals.eco-vector.com/1682-7392/article/view/112505
- DOI: https://doi.org/10.17816/brmma112505
- ID: 112505
Cite item
Abstract
Surgical treatment of locally spread tumors of pelvic organs remains an urgent and complicated oncological problem. The recurrence rate after radical treatment ranges from 15.1% to 45.2%. The key to a successful and safe surgical intervention is careful planning and intraoperative navigation, including the use of augmented reality technology. The study presents the experience in the clinical testing of augmented reality technology in the surgical treatment of 11 patients. The paper also described the main stages of the algorithm. Radical operations with intraoperative application of augmented reality technology were performed in eight patients with favorable outcomes. One patient underwent palliative intervention, and two patients did not undergo surgery. In the eight patients who underwent surgery, the median operation time was 202.5 (117.5–282.5) min, the median volume of blood loss was 300 (187.5–625) mL, and the median duration of hospital stay was 21 (17.75––27.75) days. Three patients (37.55%) developed complications, namely, necrosis of the perineal edges of the wound, ascending pyelonephritis, and intrahospital pneumonia. No hospital fatality has been registered. In the postoperative morphological examination, a negative peripheral resection boundary (R0 resection) was achieved in all patients. Subsequently, these patients were referred for dynamic monitoring and systemic antitumor therapy. The application of an augmented reality algorithm in the surgical treatment of primary and recurrent pelvic tumors is feasible and reproducible in clinical practice. Augmented reality technology, with its innovative nature and obvious advantages, opens up certain prospects for improving the results of multivisceral resections of pelvic organs; however, further study and implementation in clinical practice are necessary.
Full Text
About the authors
Vladimir G. Grebenkov
Military Medical Academy of S.M. Kirov
Author for correspondence.
Email: grebenkov_89@mail.ru
ORCID iD: 0000-0002-7881-1714
SPIN-code: 4148-0527
аdjunct
Russian Federation, Saint PetersburgValery N. Rumyantsev
Military Medical Academy of S.M. Kirov
Email: grebenkov_89@mail.ru
ORCID iD: 0000-0001-7526-6282
SPIN-code: 8166-9820
аdjunct
Russian Federation, Saint PetersburgVladimir M. Ivanov
Peter the Great Saint Petersburg Polytechnic University
Email: voliva@rambler.ru
ORCID iD: 0000-0001-8194-2718
SPIN-code: 8738-1873
doctor of physical and mathematical sciences, professor
Russian Federation, Saint PetersburgDmitry A. Surov
Military Medical Academy of S.M. Kirov
Email: grebenkov_89@mail.ru
SPIN-code: 5346-1613
doctor of medical sciences, associate professor
Russian Federation, Saint PetersburgSergey V. Strelkov
Peter the Great Saint Petersburg Polytechnic University
Email: sergin3d2d@gmail.com
ORCID iD: 0000-0002-5901-0866
SPIN-code: 9357-0837
technical director
Russian Federation, Saint PetersburgMikhail S. Korzhuk
Military Medical Academy of S.M. Kirov
Email: gensurg@mail.ru
ORCID iD: 0000-0002-4579-2027
SPIN-code: 1031-6315
doctor of medical sciences, professor
Russian Federation, Saint PetersburgOleg V. Balura
Military Medical Academy of S.M. Kirov
Email: grebenkov_89@mail.ru
ORCID iD: 0000-0001-7826-8056
SPIN-code: 9260-9850
candidate of medical sciences
Russian Federation, Saint PetersburgAndrey V. Svyatnenko
Military Medical Academy of S.M. Kirov; Institute of Emergency Medicine of I.I. Dzhanelidze
Email: svyatnenkoandrei@mail.ru
ORCID iD: 0000-0003-2603-9854
SPIN-code: 8640-6370
doctor-surgeon
Russian Federation, Saint Petersburg; Saint PetersburgDenis A. Dymnikov
Military Medical Academy of S.M. Kirov
Email: grebenkov_89@mail.ru
ORCID iD: 0000-0003-1644-1014
SPIN-code: 6945-7148
candidate of medical sciences
Russian Federation, Saint PetersburgAndrey E. Demko
Military Medical Academy of S.M. Kirov; Institute of Emergency Medicine of I.I. Dzhanelidze
Email: demkoandrey@gmail.com
ORCID iD: 0000-0002-5606-288X
SPIN-code: 3399-8762
doctor of medical sciences, professor
Russian Federation, Saint Petersburg; Saint PetersburgReferences
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