Navio Robotic Versus Conventional Total Knee Arthroplasty

September 5, 2025 updated by: Herbert John Cooper, MD, Columbia University

Conventional vs. Robotic-Assisted Total Knee Arthroplasty: A Prospective, Randomized Trial of Clinical, Functional, and Radiographic Outcomes

Total knee replacement surgery is a conventional approach to alleviating the pain and lack of function resulting from arthritis of the knee. While conventional knee replacement surgery is highly successful, incidences of improperly installed replacement parts are not uncommon. To improve outcomes, robotic-assisted total knee replacement surgery has recently become available, and has been shown to be extremely effective for partial knee replacement surgery. However, further research is needed to determine if this same technology can be equally effective for total knee replacement surgery. The present study will evaluate outcomes of robotic-assisted versus conventional total knee replacement surgery in patients between 40 and 85 years old with end stage arthritis of the knee. Other than surgical technique, patients will receive the same operative care and knee replacement implants. In addition to standard x-rays, subjects will be asked to complete several short-term clinical and functional tests and questionnaires to determine outcomes of their surgery.

Study Overview

Status

Recruiting

Detailed Description

Total Knee Arthroplasty (TKA) is a widespread orthopaedic procedure for restoring functionality and minimizing pain due to end stage osteoarthritis. Conventional TKA, well-accepted as the standard of care, is performed with manual instrumentation guided by intramedullary or extramedullary alignment rods, as well as rotational guides that are not patient-specific. Despite continued improvement in manual instrumentation, postoperative malalignment is still reported in a significant number of patients when these manual instruments are used. Robotic-assisted TKA was developed specifically to improve surgical accuracy, and has been shown to significantly improve accuracy of alignment and joint-line restoration. However, these improvements came at the cost of higher complication rates and were not shown to translate into meaningful clinical outcomes with these first-generation systems. Newer-generation robotic technology offers several advantages over earlier versions including the potential to dynamically assess soft tissues over a range of motion and the ability to use haptic control in bone preparation. Modern robotic-assisted knee surgery has also demonstrated superior outcomes over conventional instrumentation in unicompartmental knee arthroplasty (UKA). This newer-generation of robotic technology, which has quickly become the standard-of-care for many knee surgeons who perform UKA, has recently been approved by the United States Food and Drug Administration (FDA) for use in TKA. Prior to consideration of widespread adoption of this newer technology in patients undergoing TKA, well-designed clinical trials are necessary to study its efficacy in this population. The proposed study evaluates the efficacy of robotic-assistance in patients between 40 and 85 years old with end-stage knee osteoarthritis or degenerative joint disease undergoing TKA. It is designed as a prospective, randomized trial where patients are blinded to their treatment arm. Patients will be randomized to conventional vs. robotically-assisted techniques in the operating room and, other than the surgical technique, will receive the same perioperative care and identical implants. The investigators aim to measure utility of robotic-assisted TKA through a range of early and short-term clinical, functional, and radiographic outcome measures.

Study Type

Interventional

Enrollment (Estimated)

86

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

    • New York
      • New York, New York, United States, 10032
        • Recruiting
        • Columbia University Medical center
        • Contact:
        • Principal Investigator:
          • Herbert John Cooper, MD

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

36 years to 81 years (Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Description

Inclusion Criteria:

  • age between 40 and 85
  • body mass index (BMI) less than 40.0 kg/m^2
  • end-stage knee osteoarthritis (Kellgren and Lawrence grade 4)
  • failure of a minimum 12 weeks of nonoperative management
  • English fluency

Exclusion Criteria:

  • history of inflammatory arthropathy in the same knee
  • history of prior open knee surgery in the same knee
  • history of prior osteotomy or periarticular fracture
  • deformity > 15 degrees from a neutral mechanical axis
  • gross ligamentous incompetence of the medial or lateral collateral ligaments
  • musculoskeletal involvement beyond unilateral knee osteoarthritis significantly limiting their function
  • unwillingness or inability to participate in the proposed study protocol and follow-up

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Treatment
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Single

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
No Intervention: Non robotics-assisted Surgical System
Conventional, non-robotics-assisted total knee surgical system
Experimental: Navio™ Robotics-assisted Surgical System
Intervention will evaluate the utility of robotic-assistance in patients undergoing total knee arthroplasty

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Score on Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC)
Time Frame: Up to 2 years
The WOMAC is a 24-item questionnaire with 3 subscales measuring pain, stiffness, and physical function. Scores are summed for items in each subscale, with possible ranges as follows: pain=0-20, stiffness=0-8, physical function=0-68. Higher scores on the WOMAC indicate worse pain, stiffness, and functional limitations.
Up to 2 years
Score on the Timed Up and Go Test (TUG)
Time Frame: Up to 2 years
The TUG measures the time (in seconds) it takes a patient to rise from an armed chair, walk 3 meters, turn, and return to sitting in the same chair. The time taken to complete the task is strongly correlated to level of functional mobility, (i.e., the more time taken, the more dependent in activities of daily living). Risk for Falls: high risk (>13.5 seconds), none/low/moderate (<13.5 seconds).
Up to 2 years

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Score on Short-Form 12 Health Questionnaire (SF-12)
Time Frame: Up to 2 years
The SF-12 is a multipurpose short form survey with 12 questions, all selected from the SF-36 Health Survey. Questions were combined, scored, and weighted to create two scales that provide glimpses into mental and physical functioning and overall health-related-quality of life. Physical and Mental Health Composite Scores (PCS & MCS) are computed using the scores of twelve questions and range from 0 to 100, where a zero score indicates the lowest level of health measured by the scales and 100 indicates the highest level of health.
Up to 2 years
Score on New Knee Society Scores (2011 KSS)
Time Frame: Up to 2 years
The 2011 KSS is a physician- and patient-derived scoring system that has been validated and demonstrated to be a responsive method for assessing objective and subjective outcomes after TKA. This scale comprises four separate subscales: (a) objective knee score (seven items: 100 points); (b) patient satisfaction score (five items: 40 points); (c) patient expectations score (three items: 15 points); and (d) functional activity score (19 items: 100 points). Score 80-100: Excellent; Score 70-79: Good; Score 60-69: Fair; Score below 60: Poor
Up to 2 years
Score on Global Rating Score of Knee Function (GRS)
Time Frame: Up to 2 years
Participants will be asked to rate their perception of knee functional ability on a scale of 0 to 100%. A score of 0 represents a complete disability and a score of 100 represents a level of knee function prior to the patient having any symptoms.
Up to 2 years

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Collaborators

Investigators

  • Principal Investigator: Herbert John Cooper, MD, Columbia University

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

April 17, 2019

Primary Completion (Estimated)

December 1, 2026

Study Completion (Estimated)

December 1, 2026

Study Registration Dates

First Submitted

April 26, 2018

First Submitted That Met QC Criteria

April 26, 2018

First Posted (Actual)

May 8, 2018

Study Record Updates

Last Update Posted (Estimated)

September 8, 2025

Last Update Submitted That Met QC Criteria

September 5, 2025

Last Verified

September 1, 2025

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

Yes

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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