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NCT05461118

Osteotomy Accuracy Using Mixed Reality Assisted Navigation

Status unknown NA Last updated 1 August 2022
What this trial tests

NA trial testing Experimental:Treatment group in Osteotomy in 20 participants. Status unknown.

Timeline
5 August 2022
Primary endpoint
15 March 2023
1 September 2023

Quick facts

Lead sponsorAugusta University
PhaseNA
StatusStatus unknown
Study typeINTERVENTIONAL
Allocationna
Designsingle group
Maskingnone
Primary purposesupportive care
Enrollment20
Start date5 August 2022
Primary completion15 March 2023
Estimated completion1 September 2023
Sites1 location across United States

Drugs / interventions tested

Conditions studied

Sponsor

Augusta University

Who can join

16 and older, any sex, with Osteotomy. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

An osteotomy is a standard surgical operation in which one or more bones are cut or lengthened or re-shaped. While planning for osteotomy, the surgeon sometimes uses a custom-manufactured cutting guide. The investigators are testing a relatively new approach called mixed reality navigation in planning this surgery in this study. For the purpose of this study, the investigators will compare the accuracy of performing osteotomies with the aid of mixed reality navigation as compared to osteotomies that were performed using prefabricated cutting guides for patients in the past few years.

Publications & conference data

No peer-reviewed publications indexed yet for this trial.

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Other recruiting trials for Osteotomy

Currently open trials in the same condition.

Other Augusta University trials

Trials by the same sponsor.

Verify against primary sources

Data sources for this page

Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT05461118.

Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing