18+

 

Number №2, 2025 - page 54-57

Robot-assisted radical prostatectomy: comparative analysis of the movements of instruments DOI: 10.29188/2222-8543-2025-18-2-54-57

For citation: Pavlov V.N., Urmantsev M.F., Papoyan A.O., Bilyalov A.R., Avzaletdinov A.M., Efremova O.A., Deneyko A.S., Musakaeva K.R., Kashapova A.R., Korelov Yu.A. Robot-assisted radical prostatectomy: comparative analysis of the instruments movements. Experimental and Clinical Urology 2025;18(2):54-57; https://doi.org/10.29188/2222-8543-2025-18-2-54-57
Pavlov V.N., Urmantsev M.F., Papoyan A.O., Bilyalov A.R., Avzaletdinov A.M., Efremova O.A., Deneyko A.S., Musakaeva K.R., Kashapova A.R., Korelov Yu.A.
Information about authors:
  • Pavlov V.N. – Dr. Sci., Academician of the Russian Academy of Sciences, Professor, Rector of the Bashkir State Medical University, Ministry of Health of the Russian Federation; Ufa, Russia; RSCI Author ID 666803,https://orcid.org/0000-0003-2125-4897
  • Urmantsev M.F. – PhD, Associate Professor of the Department of Urology and Associate Professor of the Department of Oncology, Head of the Oncology Department of the Clinic of the Bashkir State Medical University of the Ministry of Health of the Russian Federation; Ufa, Russia; RSCI Author ID 666803, https://orcid.org/0000-0002-4657-6625
  • Papoyan A.O. – urologist, Head of the Urological Department of the Clinic of the Bashkir State Medical University of the Ministry of Health of the Russian Federation; Ufa, Russia; RSCI Author ID 1239671, https://orcid.org/0000-0002-2302-3315
  • Bilyalov A.R. – PhD, head of the Information Technology Department of the Bashkir State Medical University of the Ministry of Health of the Russian Federation, Associate Professor; Ufa, Russia; RSCI Author ID 204938, https://orcid.org/0000-0002-1273-9430
  • Avzaletdinov A.M. – Dr. Sci., head of the Department of Thoracic Surgery, thoracic surgeon, oncologist of the BSMU Clinic, Professor of the Department of Hospital and Cardiovascular Surgery of BSMU, Honored Physician of the Republic of Bashkortostan; Ufa, Russia; RSCI Author ID 254342, https://orcid.org/0000-0002-2435-8141
  • Efremova O.A. – PhD, Deputy Chief Physician for the medical part of the BSMU Clinic; Ufa, Russia; https://orcid.org/0009-0009-6533-8401
  • Deneyko A.S. – urologist of the Bashkir State Medical University Clinic of the Ministry of Health of the Russian Federation; Ufa, Russia; RSCI Author ID 1237921, https://orcid.org/0009-0005-3818-5252
  • Musakaeva K.R. – thoracic surgeon, Assistant of the Department of Hospital and Cardiovascular Surgery at the BSMU Clinic; Ufa, Russia; https://orcid.org/0009-0003-0804-0373
  • Kashapova A.R. – coloproctologist of the Bashkir State Medical University Clinic of the Ministry of Health of the Russian Federation; Ufa, Russia; https://orcid.org/0009-0008-0062-8160
  • Korelov Yu.A. – urologist of the Bashkir State Medical University Clinic of the Ministry of Health of the Russian Federation; Ufa, Russia; RSCI Author ID 918777, https://orcid.org/0000-0003-1524-5628
338

Introduction. Prostate cancer (PCa) is one of the most common oncological diseases, the tactics of its treatment directly depends on the stage. According to statistics, prostate cancer (prostate cancer) accounts for more than 1.4 million new cases annually. The «gold» standard at the moment for localized prostate cancer is surgical intervention in the volume of radical robot-assisted prostatectomy.

The aim was to development technologies for calculating the trajectory of movements of the traveled path of surgical instruments during robot-assisted radical prostatectomy; devalopment and implementation of an «active» robot system into the learning process, and later into the workflow; devalopment of a self-monitoring system for a surgeon in self-study.

Materials and methods. On the basis of the Bashkir State Medical University clinic, 30 surgical robot-assisted radical prostatectomies performed by two surgeons were analyzed, of which surgeon 1 performed 14 surgical interventions and surgeon 2 performed 16 surgical interventions.

Results. During the analysis, data were obtained on the average duration of the operation of robot-assisted radical prostatectomies, the movement time of robotic instruments.

Conclusion. The study of the analysis of the time of movement of instruments is an important step towards optimizing resources and improving the efficiency of the medical process.

AttachmentSize
Download861.31 KB
рrostate cancer; robot-assisted prostatectomy; learning curve; analysis of movements of surgical instruments; Da Vinci Xi system

Readera - Социальная платформа публикаций

Crossref makes research outputs easy to find, cite, link, and assess