Personalized Approach to Robotic Total Knee Arthroplasty
NCT ID: NCT05750784
Last Updated: 2023-03-02
Study Results
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Basic Information
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UNKNOWN
NA
150 participants
INTERVENTIONAL
2022-09-01
2025-08-31
Brief Summary
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Detailed Description
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The novelty of the proposed topic: For the first time in Russia, it is planned to introduce a system of personalized preoperative planning, applying the concept of kinematic alignment in robotic knee arthroplasty.
Aim and objectives of the research:
Aim: To improve the results of robotic knee alignment by developing and implementing a personalized approach in preoperative planning.
Objectives: to develop a system of personalized robotic knee arthroplasty; implementation of the system in clinical practice, to determine indications, contraindications; study of the results of personalized endoprosthetics, comparison with the results of mechanical alignment; detection of complications; development of an algorithm and protocol for personalized endoprosthetics.
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 150 patients with osteoarthritis of the knee joint of stage 3-4 (according to Kellgren-Lawrence).
Methods of the research:
1. General clinical examination of patients (collection of complaints, examination, assessment of physical findings and local status);
2. Assessment of the range of motion in the knee joint before and after surgery;
3. Performing X-ray images and CT of the knee joint before and after surgery, with the determination of the angles: HKA, LDFA, MPTA, Q; Preoperative 3D planning on the TPLAN workstation; Surgical treatment. 1) Primary total knee arthroplasty using the active robotic surgical system TSolution One, TCAT, using the concept of kinematic alignment; 2) Primary total knee arthroplasty using the active robotic surgical system TSolution One, TCAT, using the concept of mechanical alignment.
Evaluation of patient treatment results according to scales: VAS, KSS, OKS, WOMAC, ASA, FJS-12.
Methods of statistical processing of the material: statistical processing of data is planned to be carried out on a personal computer using Excel software packages and using standard methods of variation statistics using SPSS 16 statistical software packages.
Estimated research result:
For the first time in Russia, an active robotic system will be introduced into clinical practice using the concept of personalized endoprosthetics for primary total knee .
Indications for the use of this algorithm in patients with osteoarthritis of the knee joint will be determined.
The methodology of preoperative planning will be improved. The results of the initial personalized total knee replacement with the use of an active robotic system will be evaluated.
The methodology developed and improved in the dissertation will be introduced into the work of the clinical bases of the Department of Traumatology, Orthopedics and Disaster Surgery.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
TREATMENT
SINGLE
Study Groups
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total knee arthroplasty using the active robotic system using the kinematic alignment concept
Total knee arthroplasty using the active robotic surgical system TSolution One TCAT, and system for planning TPlan
Total knee arthroplasty using the active robotic surgical system
Total knee arthroplasty using the active robotic surgical system TSolution One TCAT, and system for planning TPlan
total knee arthroplasty using the active robotic system using the mechanical alignment concept
Total knee arthroplasty using the active robotic surgical system TSolution One TCAT, and system for planning TPlan
Total knee arthroplasty using the active robotic surgical system
Total knee arthroplasty using the active robotic surgical system TSolution One TCAT, and system for planning TPlan
Interventions
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Total knee arthroplasty using the active robotic surgical system
Total knee arthroplasty using the active robotic surgical system TSolution One TCAT, and system for planning TPlan
Eligibility Criteria
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Inclusion Criteria
2. Patients with stage 3-4 osteoarthritis of the knee joint (according to Kellgren-Lawrence).
3. Men and women from 21 to 90 years old.
4. Pain in the knee joint above 3 points according to VAS
5. Opportunity for observations during the entire study period (12 months);
6. Mental adequacy, ability, willingness to cooperate and to fulfill the doctor's recommendations.
Exclusion Criteria
2. Presence of contraindications to surgical treatment;
3. Severe forms of diabetes mellitus (glycosylated hemoglobin\> 9%);
4. Diseases of the blood (thrombopenia, thrombocytopenia, anemia with Hb \<90 g / l);
5. The patient's unwillingness to conscious cooperation.
6. Refusal of the patient to participate in the study;
7. Non-compliance with the hospital regimen, according to the order of the Ministry of Health and Social Development of Russia dated 01.08.07, No. 514;
8. The impossibility of observing the patient within the control period after the operation.
21 Years
90 Years
ALL
No
Sponsors
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I.M. Sechenov First Moscow State Medical University
OTHER
Responsible Party
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Locations
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University clinical hospital №1 I.M.Sechenov First Moscow State Medical University. The Department of Traumatology, Orthopedics and Disaster Surgery
Moscow, , Russia
Countries
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Central Contacts
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Facility Contacts
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References
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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
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
Other Identifiers
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199731
Identifier Type: -
Identifier Source: org_study_id
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