Email this article Comparative evaluation of precision of robotic and manual knee arthroplasty: clinical and X-ray analysis
- Authors: Minasov B.S.1, Yakupov R.R.1, Akbashev V.N.1, Bilyalov A.R.1, Minasov T.B.1, Karimov K.K.2, Valeev M.M.1, Mavlyutov T.R.1, Abdrafikov R.S.1, Galautdinov M.F.1, Lasynova G.K.1, Volobueva A.F.1
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Affiliations:
- Bashkir State Medical University
- Avicenna Tajik State Medical University, Ministry of Health and Social Protection of the Population of the Republic of Tajikistan
- Section: Original study articles
- Submitted: 29.11.2024
- Accepted: 01.07.2025
- Published: 30.10.2025
- URL: https://journals.eco-vector.com/0869-8678/article/view/642387
- DOI: https://doi.org/10.17816/vto642387
- ID: 642387
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Abstract
BACKGROUND: The growing number of knee arthroplasty procedures and associated complications highlights the need for advanced technologies that improve the precision of implant positioning and enhance functional outcomes.
AIM: To evaluate the precision of robotic knee arthroplasty compared to conventional manual techniques, based on clinical, radiological, and stabilometric outcomes.
MATERIALS AND METHODS: This was a cohort, controlled, interventional (experimental), single-center, prospective, selective, randomized, non-blinded study including 60 patients aged 18 to 75 years with stage III knee osteoarthritis. Participants were randomly assigned to either robotic-assisted (n=30) or manual total knee arthroplasty (n=30). Six months after surgery, clinical parameters (VAS for pain, ROM), radiological indicators (LDFA, MPTA, rotational alignment), and stabilometric data were assessed. Cement mantle distribution was analyzed using high-precision scales and 3D modeling.
RESULTS: Robotic-assisted arthroplasty demonstrated higher precision in implant positioning, with deviations of less than 1° for LDFA and MPTA observed in 93% and 66% of cases, respectively, compared to 23% and 9.4% in the manual group. Mean range of motion (ROM) reached 109° in the robotic group versus 106.2° in the manual group, while pain levels (VAS) were 3.7 and 4.2, respectively. Robotic-assisted surgery also resulted in reduced variability in cement mass and mantle thickness.
CONCLUSIONS: Robotic knee arthroplasty shows advantages over manual techniques in terms of implant positioning accuracy, cement distribution consistency, and functional recovery. Although the differences were not statistically significant (p >0.05), the observed trends suggest the potential benefits of robotic technology for broader clinical implementation.
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About the authors
Bulat Shamilovich Minasov
Bashkir State Medical University
Email: B.minasov@ya.ru
ORCID iD: 0000-0002-1733-9823
SPIN-code: 2047-8868
проф., д.м.н., заведующий кафедрой травматологии, ортопедии
Russian Federation, Russian Federation, Lenin Street, 3, Ufa, Republic of Bashkortostan, 45008, Russia.Rasul Radikovich Yakupov
Bashkir State Medical University
Email: rasulr@mail.ru
ORCID iD: 0000-0001-7650-1926
SPIN-code: 2101-3088
проф., д.м.н., профессор кафедры травматологии, ортопедии
Russian Federation, Lenin Street, 3, Ufa, Republic of Bashkortostan, 45008, Russia.Vladislav Nikolaevich Akbashev
Bashkir State Medical University
Author for correspondence.
Email: vlad-akb@mail.ru
ORCID iD: 0009-0000-7070-217X
SPIN-code: 3844-1439
Scopus Author ID: 58823456100
Ассистент кафедры травматологии, ортопедии
Russian Federation, Lenin Street, 3, Ufa, Republic of Bashkortostan, 45008, Russia.Azat Rinatovich Bilyalov
Bashkir State Medical University
Email: azat.bilyalov@gmail.com
ORCID iD: 0000-0002-1273-9430
SPIN-code: 4223-8461
Начальник УИТ
Russian Federation, Lenin Street, 3, Ufa, Republic of Bashkortostan, 45008, Russia.Timur Bulatovich Minasov
Bashkir State Medical University
Email: m004@yandex.ru
ORCID iD: 0000-0003-1916-3830
SPIN-code: 7865-6011
проф., д.м.н., профессор кафедры травматологии, ортопедии
Lenin Street, 3, Ufa, Republic of Bashkortostan, 45008, RussiaKiemiddin Kamoliddinovich Karimov
Avicenna Tajik State Medical University, Ministry of Health and Social Protection of the Population of the Republic of Tajikistan
Email: karimov-doktor@mail.ru
ORCID iD: 0009-0002-3222-0051
SPIN-code: 8869-5646
к.м.н., доцент кафедры травматологии и ортопедии
Sino District, Sino Street 29-31, Dushanbe, 734003, Republic of Tajikistan.Marat Mazgarovich Valeev
Bashkir State Medical University
Email: valeevmm@rambler.ru
SPIN-code: 7875-7611
Scopus Author ID: 0000-0002-6438-8820
доцент, д.м.н., профессор кафедры травматологии и ортопедии
Lenin Street, 3, Ufa, Republic of Bashkortostan, 45008, Russia.Tagir Ryfatovich Mavlyutov
Bashkir State Medical University
Email: mavlutovtagir@mail.ru
ORCID iD: 0000-0002-5398-9356
SPIN-code: 2768-0320
доцент., д.м.н., профессор кафедры травматологии и ортопедии
Lenin Street, 3, Ufa, Republic of Bashkortostan, 45008, RussiaRashid Salavatovich Abdrafikov
Bashkir State Medical University
Email: abdrafikov.irshat@mail.ru
студент 5 курса лечебного факультета
Russian Federation, Ufa, Lenin str., 3., 45008Mars Flaritovich Galautdinov
Bashkir State Medical University
Email: mars.galautdinov@gmail.com
ORCID iD: 0000-0003-4284-5696
SPIN-code: 2975-8618
Заведующий лабораторией "Аддитивных технологий"
Russian Federation, Ufa, Lenin str., 3., 45008Gulnaz Khaibullovna Lasynova
Bashkir State Medical University
Email: lasynova1987@mail.com
ORCID iD: 0000-0001-5193-2164
SPIN-code: 5887-8878
Заведующий лабораторией нейропатофизиологии высших функций мозга и реабилитационных технологий
Russian Federation, Ufa, Lenin str., 3., 45008Alsu Flaritovna Volobueva
Bashkir State Medical University
Email: alsuvol@gmail.com
ассистент кафедры внутренних болезней и клинической психологии
Russian Federation, Ufa, Lenin str., 3., 45008References
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СМИ зарегистрировано Федеральной службой по надзору в сфере связи, информационных технологий и массовых коммуникаций (Роскомнадзор).