Intelligent Precision Knee Preservation System for Knee Osteoarthritis

NCT07284524 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 150

Last updated 2025-12-16

No results posted yet for this study

Summary

The goal of this clinical trial is to verify whether the "dynamic dual-mode alignment optimization + intelligent precision knee-preserving system" (integrating static/kinematic target alignment, CT-based preoperative three-dimensional \[3D\] planning, 3D-printed guide plates, and intraoperative augmented reality \[AR\] real-time feedback) achieves a greater relative reduction in peak knee adduction moment (KAM) at 12 months postoperatively, while maintaining or improving knee clinical function and without increasing perioperative or long-term complication rates, compared with traditional knee-preserving strategies. The target population is patients aged 40-70 years with knee osteoarthritis (KOA; Kellgren-Lawrence grade II-III) who require high tibial osteotomy (HTO) for unilateral medial-compartment disease with mild-to-moderate varus deformity and who meet the inclusion and exclusion criteria.

The main questions are:

* Can the dynamic dual-mode alignment + intelligent precision system achieve a greater relative reduction in peak KAM at 12 months postoperatively than traditional knee-preserving strategies?
* Can this system improve static alignment accuracy, dynamic load parameters (e.g., KAM impulse and varus thrust), and patient-reported outcome (PRO) scores without increasing complication rates?
* Can 3D-printed patient-specific instrumentation (PSI) guide plates and real-time AR feedback reduce intraoperative radiation exposure and shorten operative time compared with traditional methods?

Researchers will compare:

Kinematic alignment (KA), traditional mechanical alignment (MA), and dynamic dual-mode alignment (DA) to evaluate the relative performance of alignment strategies;

3D-printed PSI-guided HTO versus traditional fluoroscopy-guided HTO to assess the efficacy of PSI; and

AR-assisted intraoperative adjustment versus traditional fluoroscopy-based adjustment to evaluate the precision of AR navigation.

Participants will:

* Complete preoperative assessments, including laboratory tests (complete blood count, biochemistry, coagulation), imaging (full-length, weight-bearing lower-limb radiographs; knee CT and/or MRI as indicated), 3D gait analysis (to measure KAM, KAM impulse, and varus thrust), and PRO assessments (KOOS, WOMAC, and Lysholm scores)
* Receive assigned surgical interventions: the DA group will undergo HTO guided by dual-mode alignment plus 3D-printed PSI and intraoperative AR feedback; the MA and KA groups will undergo HTO based on traditional or kinematic alignment, respectively; the traditional HTO group will undergo surgery relying on intraoperative fluoroscopy and surgeon experience.
* Attend follow-up visits at 6 weeks, 3 months, 6 months, and 12 months postoperatively, including imaging to assess alignment accuracy and bone healing, gait analysis, PRO assessments, and complication monitoring.
* Record medication use and rehabilitation compliance throughout the study period.

Conditions

  • Knee Osteoarthritis (Knee OA)

Interventions

BEHAVIORAL

HTO procedure

HTO procedure for knee osteoarthritis

Sponsors & Collaborators

  • First Affiliated Hospital of Wenzhou Medical University

    lead OTHER

Principal Investigators

  • Lei Zhang, M.D., Ph.D. · Department of Orthopaedic Surgery The First Affiliated Hospital of Wenzhou Medical University

Study Design

Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
SINGLE
Model
PARALLEL

Eligibility

Min Age
40 Years
Max Age
70 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-01-01
Primary Completion
2027-06-30
Completion
2027-06-30

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07284524 on ClinicalTrials.gov