Artificial Intelligence to Detect Early Total Knee Replacement Implant Failure

NCT ID: NCT06724094

Last Updated: 2025-05-13

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

NOT_YET_RECRUITING

Total Enrollment

2105 participants

Study Classification

OBSERVATIONAL

Study Start Date

2025-08-31

Study Completion Date

2025-12-31

Brief Summary

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The goal of this trial is to investigate whether Machine Learning (ML) can be used to detect small degrees of loosening, lucent zones, or any other changes on radiographs that might predict early failure following NexGen total knee replacement.

Researchers will identify plain AP and lateral plain film radiographs from two groups of patients. Those who has NexGen total knee replacements (TKRs) that went on to failure, and those who has well performing TKRs. Radiographs from these two groups will be labelled as 'failure' and 'well performing' and will be processed through a machine learning algorithm.

The algorithm will be successful if it is able to detect a NexGen TKR that went on to failure or went on to perform well. This will be determined by using a test set.

The population will be adults who had the recalled a NexGen Total Knee Replacement with a standard tibial tray. It will include adults only, who has the TKR at University Hospitals Southampton between 2003 and 2022.

Failure will be defined as revision of tibial or femoral components which is likely due to aspectic loosening. It will exclude washouts, exchange of poly, peri-prosthetic fractures, microbiologically confirmed infection.

Well performing TKRs will be defined as patients who have had their TKR in situ for 10 years and have reported no significant symptoms.

Detailed Description

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Conditions

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Aseptic Loosening of Prosthetic Joint

Study Design

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Observational Model Type

CASE_CONTROL

Study Time Perspective

RETROSPECTIVE

Study Groups

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Failed

This group will be made up of patient who had revision TKR due to aseptic loosening within 10 years of primary arthroplasty

No interventions assigned to this group

Well performing

This group will be made up of patients who have an asymptomatic TKR 10 years after primary arthroplasty.

No interventions assigned to this group

Eligibility Criteria

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Inclusion Criteria

* Had a NexGen TKR between 2003 and 2022.

Exclusion Criteria

* Below 18 yrs old.
* Revision surgery for any reason other than aseptic loosening
* patients who have not had a revision but who do not have a well functioning TKR.
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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University Hospital Southampton NHS Foundation Trust

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Central Contacts

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Rory Ormiston

Role: CONTACT

07443 432819

Other Identifiers

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T&O0238

Identifier Type: -

Identifier Source: org_study_id

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