Correction of Angular Deformities in Knee Arthrosis

March 12, 2019 updated by: Imperial College London

Patient Matched Osteotomy to Correct Angular Deformities in Knee Arthrosis

For participants whose leg bones don't line up properly, extra stress is placed on either the inner or outer side of the knee joint due to uneven transfer of body-weight. Gradually, this extra pressure wears away the smooth cartilage, resulting in osteoarthritis on that side of the knee joint. This problem is particularly common in young athletes and places them at risk of early osteoarthritis.

An operation exists whereby one of the bones either side of the knee is cut ( an osteotomy) and hinged open to straighten the leg. This alteration redistributes body-weight more equally across the knee joint and is known to be effective in delaying and possibly preventing, the progression of knee osteoarthritis- especially in younger and physically more active patients in whom a knee replacement is undesirable.

Currently it is possible to ( accurately) calculate the precise position of the bone cut and number of degrees correction required to straighten a leg using digital x-rays and three-dimensional CT scans. However there is no method of implementing this pre-operative plan during surgery so that the majority of surgeons rely on relatively crude and ipso facto unreliable intra-operative measurements as a guide.

To improve the accuracy of this operation, the investigator propose the use of a custom-made 'cutting block', tailored for each individual patient and its shape will match the contour of the patient's bone to ensure it can only be placed in one position. Pre-cut slots and holes will then guide the saw cut and the number of degrees the bone in hinged open, as per the pre-operative plan; it functions as an intra-operative template for the surgeon.

This study will primarily examine whether there is a close match between the planned and actual correction of leg deformities when using a patient-matched cutting-block.

Study Overview

Status

Active, not recruiting

Conditions

Intervention / Treatment

Detailed Description

Malalignment of the leg is known to play a significant role in the development of knee arthrosis. Osteotomy can be used to correct angular deformities around the knee. A number of studies have found that the success of this procedure in delaying the progression of knee arthrosis is highly dependent on an accurate of deformity correction.

It is possible to produce a precise pre-operative surgical plan of the osteotomy required for a favourable outcome. However, the majority of surgeons still rely upon relatively crude and ipso facto unreliable intra-operative measurements to guide the actual operation. This is reflected in studies comparing the pre-operative plan with final outcome.

So to facilitate accurate translation of pre-operative osteotomy planning to intra-operative execution, the investigator proposes to transfer two technologies that are already commercially available in arthroplasty into the filed of corrective osteotomy i.e. 3D planning and custom-made patient-matched cutting blocks. This will permit translation of the surgeon's pre-order to ensure precise intra-operative positioning. Once secured slots and holes in the cutting block will ensure that the bony cut and angular correction is performed, and secured with a plate and screws, in the precise location determined by the pre-operative plan.

A prospective multi centre study is proposed, primarily to confirm the efficacy of use, and accuracy of deformity correction around the knee using patient-matched cutting blocks. Accuracy will be assessed by comparing post-operative alignment (measured on plan radiographs and CT scan) with the pre-operative surgical plan. Patient questionnaires to assess outcome will also be collected, and optional gait analysis performed.

Study Type

Observational

Enrollment (Anticipated)

84

Contacts and Locations

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

Study Locations

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

18 years to 70 years (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Osteotomy Arm:

Target population: 42

Partial Knee Replacement Arm:

Target population: 42

Description

Osteotomy Arm

Inclusion Criteria:

  • All patients considered suitable candidates for an osteotomy around the knee.
  • All patients consenting to an osteotomy around the knee.
  • All patients considered medically fit for surgery.
  • All patients must be between 18 to 70 years of age.

Exclusion Criteria:

  • Patients not suitable for an osteotomy around the knee.
  • Patients with collateral ligament(s) insufficiency.
  • Patients who decline surgery.
  • Patients lacking capacity to consent.
  • Patients who do not understand English (written and verbal).

Partial Knee Replacement Arm:

Inclusion Criteria

  • All patients considered suitable candidates for a partial knee replacement
  • All patients consenting to a partial knee replacement
  • All patients considered medically fit for surgery Exclusion Criteria
  • Patients not suitable for a partial knee replacement.
  • Patients who decline surgery.
  • Patients lacking capacity to consent.
  • Patients under the age of eighteen.
  • Patients who do not understand English (written and verbal).

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

  • Observational Models: Cohort
  • Time Perspectives: Prospective

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Osteotomy Arm
Patients due to undergo an osteotomy around the knee. To improve the accuracy of this operation we propose the use of a custom-made 'cutting block' tailored for each individual patient.
To improve the accuracy of this operation we propose the use of a custom-made 'cutting block' tailored for each individual patient.
Partial Knee Replacement Arm
Patients due to undergo a partial knee replacement. To improve the accuracy of this operation we propose the use of a custom-made 'cutting block' tailored for each individual patient.
To improve the accuracy of this operation we propose the use of a custom-made 'cutting block' tailored for each individual patient.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
Final radiographic alignment is with two degrees of pre-operative plan in both coronal and sagittal
Time Frame: 24 months
24 months

Collaborators and Investigators

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

Investigators

  • Principal Investigator: Professor Justin Cobb, Imperial College London

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

November 1, 2014

Primary Completion (Anticipated)

December 1, 2028

Study Completion (Anticipated)

December 1, 2028

Study Registration Dates

First Submitted

September 21, 2015

First Submitted That Met QC Criteria

October 20, 2015

First Posted (Estimate)

October 21, 2015

Study Record Updates

Last Update Posted (Actual)

March 13, 2019

Last Update Submitted That Met QC Criteria

March 12, 2019

Last Verified

March 1, 2019

More Information

Terms related to this study

Other Study ID Numbers

  • 13/LO/1639

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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