Personalised high tibial osteotomy has mechanical safety equivalent to generic device in a case-control in silico clinical trial

Alisdair MacLeod, Nicholas Peckham, Ines Rombach, Patrick Hourigan, Vipul Mandalia, Andrew Toms, Benjamin J Fregly, Richie Gill

Research output: Contribution to journalArticlepeer-review

Abstract

Background
Despite favourable outcomes relatively few surgeons offer high tibial osteotomy (HTO) as a treatment option for early knee osteoarthritis, mainly due to difficulty of achieving planned correction and reported soft tissue irritation around the plate used to stablise the osteotomy. To compare the mechanical safety of a new personalised 3D printed high tibial osteotomy (HTO) device, created to overcome these issues, with an existing generic device, a case-control in silico virtual clinical trial was conducted (ClinicalTrial.gov NCT03419598).
Methods
Twenty-eight knee osteoarthritis patients underwent CT scanning to create a virtual cohort; the cohort was duplicated to form two arms, Generic and Personalised, on which virtual HTO was performed. Finite element analysis was performed to calculate the stresses in the plates arising from simulated physiological activities at three healing stages. The odds ratio indicative of the relative risk of fatigue failure of the HTO plates between the personalised and generic arms was obtained from a multi-level logistic model.
Results
Here we show, at 12 weeks post-surgery, the odds ratio indicative of the relative risk of fatigue failure was 0.14 (95%CI 0.01 to 2.73, p=0.20).
Conclusions
This novel (to the best of our knowledge) in silico trial, comparing the mechanical safety of a new personalised 3D printed high tibial osteotomy device with an existing generic device, shows that there is no increased risk of failure for the new personalised design compared to the existing generic commonly used device. Personalised high tibial osteotomy can overcome the main technical barriers for this type of surgery, our findings support the case for using this technology for treating early knee osteoarthritis.
Original languageEnglish
Article number6 (2021)
JournalCommunications Medicine
Volume1
DOIs
Publication statusPublished - 30 Jun 2021

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