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For the first time in Russia, it is planned to introduce and study primary knee arthroplasty using an active robotic system. The aim is to increase the efficiency of primary total knee arthroplasty using an active robotic surgical system. Traditional endoprosthetics of the knee joint (TKA) has now reached its maximum manufacturability and efficiency, but the accuracy of the performance depends on the skill and experience of the surgeon, as well as the efficiency of the cutting instrument (oscillator saw) when performing bone resection, the condition of the instrument and on the density of bone tissue fabric, which is highly variable. Modern RSS used in orthopedics include a robotic arm, robotic cutting devices with a computer navigation system, which are in active, semi-automatic or passive control mode. The main advantage of robotic systems is accurate preliminary planning using 3D modeling, use individual implant selection and virtual positioning.The active robotic surgical system TSolution-One allows participants to level the error in the positioning of the implant. The active robotic surgical system (ARSS) allows to correctly install the implant, which affects its service life, reduces the risks of postoperative complications, quickly returns to the usual way of life and forgets about the technical negative sensations and limitations that existed before the operation.It is planned to conduct an open-label retrospective and prospective clinical study in parallel observations.The study is planned to include 300 patients with osteoarthritis of the knee joint stage 3-4 (according to Kellgren-Lawrence). Investigators took three groups of patients, 100 patients each, and offered different options for total knee arthroplasty techniques.According to the research:-A clinical active robotic system for primary total knee arthroplasty will be introduced in Russia-There will be recommended indications and contraindications for this system in patients with gonarthrosis-The methodology of preoperative planning will be improved-The results of primary knee arthroplasty with an active robotic system will be evaluated in comparison with standard techniques and computer navigation-The methodology developed and improved in the dissertation will be introduced into the work of the clinical departments of traumatology, orthopedics and disaster surgery, studying the learning curve.
Relevance: Robotic technologies were first introduced into medicine in the 1950s. The use of robotic systems in surgery begins with the use in neurosurgery. In 1985, the Programmable Universal Manipulation Arm (PUMA) 560 was introduced to perform CT-guided brain biopsy. In 1992, the Robodoc system (IBM) became the first orthopedic robotic system used in orthopedics for hip replacement, which subsequently improved the ability to automatically perform the stages of prosthetics. (Caspar system, Acrobot). Around the same time, the development of a robot for performing total knee arthroplasty began.
A distinctive feature of total knee arthroplasty (TKA) is the manufacturability of the stages and the high accuracy of surgical manipulations, which attracts the attention of many robotic surgical systems (RSS).
Traditional total knee arthroplasty (TKA) has now reached its maximum manufacturability and efficiency, but the accuracy of the performance depends on the skill and experience of the surgeon, as well as the accuracy of the cutting instrument (oscillator saw) when performing bone resection, the condition of the instrument and the density of the bone fabric, which is highly variable. The use of intramedullary guides during conventional surgery increases the risk of thromboembolic and cardiorespiratory complications. Computer navigation partially solves the problem of resection accuracy, infrared cameras read information from sensors and display a model with anatomical and kinematic features of the knee joint, which helps the surgeon to more accurately determine the level and direction of resection, but cannot ensure the accuracy of this manipulation and compliance with the preoperative plan.
Modern RSS used in orthopedics include a robotic arm, robotic cutting devices with a computer navigation system that operate in an active, semi-automatic, or passive control mode. The main advantage of robotic systems is accurate preoperative planning using 3D modeling, the possibility of individual selection of the implant and virtual positioning. Another advantage is the ability to accurately reproduce the preoperative plan during orthopedic surgery.
Today, active robotic surgical systems (ARSS) are used in clinical practice. ROBODOC / TSolution One. Robotic Surgical System (Curexo Technology, Fremont, Calif.), And Navio PFS (Blue Belt Technologies, Plymouth, Minnesota) Semi-Active Surgical Systems, OMNI Robotic System (OMNIlife Science, East Taunton, MA), RIO Robotic Arm Interactive Orthopedic System (Mako Surgical Corporation, Fort Lauderdale, Florida), ROSA Knee (Zimmer Zimmer Biomet, Montreal (Quebec), Canada).
The active robotic surgical system TSolution-One allows participants to level the error in the positioning of the implant. The accuracy of the filing is not affected by the manual skills of the surgeon, and does not depend on the density of bone tissue. Significant advantages of the system are: 1) precise preoperative breading; 2) rigid fixation of the limb, hip and tibia displacement sensors; 3) active autonomous milling without the participation of a surgeon; 4) accuracy of resection according to the preoperative plan; 5) rotation of the tibial component as in the preoperative plan; 6) no manual tools required; 7) postoperative control of the results of the operation. The active robotic surgical system (ARSS) allows participants to correctly install the implant, which affects its service life, reduces the risks of postoperative complications, the patient quickly returns to his usual way of life and forgets about those negative feelings and limitations that were before the operation.
The novelty of the proposed topic: For the first time in Russia, it is planned to introduce and study total knee arthroplasty using an active robotic system. Apply the use of a 3D patient model and the creation of an individual personalized preoperative plan using a robotic system for knee arthroplasty.
Aim and objectives of the research:
aim: To increase the efficiency of primary total knee arthroplasty using an active robotic surgical system.
objectives:
Type of new research: an open-label, retrospective and prospective observational clinical study in parallel groups.
Research object and number of observations: the study is planned to include 300 patients with osteoarthritis of the knee joint of stage 3-4 (according to Kellgren-Lawrence).
Methods of the research:
Estimated research result:
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| total knee arthroplasty using the active robotic system | Active Comparator | total knee arthroplasty using the active robotic surgical system TSolution One TCAT, and system for planning TPlan |
|
| total knee arthroplasty using computer navigation | Active Comparator | Primary total knee arthroplasty using computer navigation and intraoperation control system |
|
| total knee arthroplasty using the standard manual tekhnik | Active Comparator | Primary total knee arthroplasty using the standard recommended set of instruments |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| total knee arthroplasty | Other | total knee arthroplasty |
|
| Measure | Description | Time Frame |
|---|---|---|
| Implant position assessment | CT scanning; these diagnostic methods assess the position of the implant, analysis of deformation, assessment of the angles in the knee joint ( LDFA, MPTA, MA, these diagnostic methods assess the position of the implant, analysis of deformation, assessment of the angles in the knee joint, analyze the rotation of implant). | 2 months after surgery |
| Implant position assessment | CT scanning | 6 months after surgery |
| Implant position assessment | CT scanning | 12 months after surgery |
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| Measure | Description | Time Frame |
|---|---|---|
| Quality of life and knee function assessment | Knee Society Score(KSS score), which combines subjective and objective information and separates the knee score (pain, stability, range of motion etc.) from the functional score of the patient (ability to walk, go up and down stairs). | 2,6,12 months after surgery |
| Quality of life assessment ( joint awareness after surgery) |
Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Andrey Gritsyuk, PhD | First MSMU( I.M.Sechenov).The Department of Traumatology,Orthopedics | Study Chair |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| university clinical hospital â„– 1I.M.Sechenov First Moscow State Medical University. The Department of Traumatology, Orthopedics and Disaster Surgery | Moscow | 119991 | Russia |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| Background | LYCHAGIN A.V.1, a, GRITSYUK A.A.1, b, RUKIN Y.A.1, c, ELIZAROV M.P.1, d, THE HISTORY OF THE DEVELOPMENT OF ROBOTICS IN SURGERY AND ORTHOPEDICS (LITERATURE REVIEW). 2020; 1 (39)2020: 10.17238/issn2226-2016.2020.1.13-19 | ||
| Background | LYCHAGIN A.V. 1, a, RUKIN Y.A. 1, b, GRITSYUK A.A. 1, c, ELIZAROV M.P. 1, d, FIRST EXPERIENCE OF USING AN ACTIVE ROBOTIC SURGICAL SYSTEM IN TOTAL KNEE ARTHROPLASTY. 2019; 4 (38) 2019: 10.17238/issn2226-2016.2019.4.27-33 |
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| ID | Term |
|---|---|
| D020370 | Osteoarthritis, Knee |
| ID | Term |
|---|---|
| D010003 | Osteoarthritis |
| D001168 | Arthritis |
| D007592 | Joint Diseases |
| D009140 | Musculoskeletal Diseases |
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| ID | Term |
|---|---|
| D019645 | Arthroplasty, Replacement, Knee |
| ID | Term |
|---|---|
| D019643 | Arthroplasty, Replacement |
| D001178 | Arthroplasty |
| D019637 | Orthopedic Procedures |
| D013514 | Surgical Procedures, Operative |
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FJS-12, measures the clinical outcomes focusing on joint awareness after surgery |
| 2,6,12 months after surgery |
| Spielberger test | Given these characteristics, test anxiety can be viewed as a situation-specific personality trait | 2,6,12 months after surgery |
| Overall health score assessment | ASA score | 2,6,12 months after surgery |
| Quality of life assessment (mental, physical assessment) | SF-36 score The SF-36 measures eight scales: physical functioning (PF), role physical (RP), bodily pain (BP), general health (GH), vitality (VT), social functioning (SF), role emotional (RE), and mental health (MH). Component analyses showed that there are two distinct concepts measured by the SF-36: a physical dimension, represented by the Physical Component Summary (PCS), and a mental dimension, represented by the Mental Component Summary (MCS). | 2,6,12 months after surgery |
| Quality of life assessment (the condition of patients) | WOMAC score is a widely used, proprietary set of standardized questionnaires used by health professionals to evaluate the condition of patients with osteoarthritis of the knee and hip, including pain, stiffness, and physical functioning of the joints | 2,6,12 months after surgery |
| Pain assessment | Visual Analog Score for pain (VAS)-dynamics pain assessment | 2,6,12 months after surgery |
| Quality of life assessment (an individual's activities of daily living ) | OKS score The OKS is a patient reported outcome measure that consists of 12 questions about an individual's activities of daily living and how they have been affected by pain over the preceding four weeks. | 2,6,12 months after surgery |
| D012216 |
| Rheumatic Diseases |
| D019651 | Plastic Surgery Procedures |
| D019919 | Prosthesis Implantation |