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UnknownNCT05750784

Personalized Approach to Robotic Total Knee Arthroplasty

Status
Unknown
Phase
N/A
Study type
Interventional
Enrollment
150 (estimated)
Sponsor
I.M. Sechenov First Moscow State Medical University · Academic / Other
Sex
All
Age
21 Years – 90 Years
Healthy volunteers
Not accepted

Summary

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: 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. It is planned to conduct an open retrospective and prospective clinical study in parallel groups. The study is planned to include 150 patients with osteoarthritis of the knee joint stage 3-4 (according to Kellgren-Lawrence). 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.

Detailed description

Relevance: Currently, there are 2 main concepts of total knee arthroplasty: mechanical and kinematic alignment of the axis of the lower limb. Mechanical alignment was first proposed by Install JN. It implied the standardization of equipment and tools, the reconstruction of the mechanically neutral axis of the limb. However, the number of patients dissatisfied with the result of endoprosthetics remained high. Bellemans' work argues that for many patients, a mechanically neutral axis of the lower limb is not the normal. This is how the concept of kinematic alignment appeared, the main idea of which was to create an absolutely balanced joint throughout the entire volume of movements and recreate the true levels of articular lines of the joint, before the onset of osteoarthritis. However, the use of standard tools and manual techniques does not allow the full use of this concept. Robotic surgery has the main advantage over manual techniques in the high accuracy of implant positioning and allows you to calculate the mechanical axis and the level of the articular line with high accuracy at the stage of preoperative preparation. The introduction of personalized programs, implants in knee arthroplasty, together with the use of active robotic technology, can restore the individual anatomy and function of the lower limb, which will improve the results of endoprosthetics and reduce the percentage of patients dissatisfied with the operation. 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

Interventions

TypeNameDescription
PROCEDURETotal knee arthroplasty using the active robotic surgical systemTotal knee arthroplasty using the active robotic surgical system TSolution One TCAT, and system for planning TPlan

Timeline

Start date
2022-09-01
Primary completion
2025-08-31
Completion
2025-08-31
First posted
2023-03-02
Last updated
2023-03-02

Locations

1 site across 1 country: Russia

Source: ClinicalTrials.gov record NCT05750784. Inclusion in this directory is not an endorsement.