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Orthopaedic Proceedings
Vol. 104-B, Issue SUPP_7 | Pages 15 - 15
1 Jul 2022
Putnis S Klasan A Oshima T Grasso S Neri T Coolican M Fritsch B Parker D
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Abstract

Introduction

MRI has been increasingly used as an outcome measure and proxy for healing and integration after ACL reconstruction (ACLR). Despite this, it has not yet been established what a steady state graft MRI appearance is.

Methodology

MRI and clinical outcome measures were prospectively taken at 1 and minimum 2 years after hamstring autograft ACLR. MRI graft signal was measured using novel reconstructions both parallel and perpendicular to the graft, with lower signal indicative of better healing and expressed as the signal intensity ratio (SIR), and tunnel apertures analysed.


Orthopaedic Proceedings
Vol. 103-B, Issue SUPP_2 | Pages 78 - 78
1 Mar 2021
Kandhari V Grasso S Twiggs J
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Abstract

Background

Accurate analysis of the patellar resurfacing is essential to better understand the etiology of patella-femoral problems and dissatisfaction following total knee arthroplasty (TKA). In the current published literature patellar resurfacing is analysed using 2D radiographs. With use of radiographs there is potential for error due to differences in limb positioning, projection, anatomic variability and difficulties in appreciating the cement-bone interface. So, we have developed a CT Scan based 3D modelled technique for accurate evaluation of patellar resurfacing.

Methods

This technique for analyses of patellar resurfacing is based on the pre-operative and pos-operative CT Scan data of the patients who underwent TKA with patellar resurfacing. In the first step, accurately landmarked 3D models of pre-op patellae were created from pre-operative CT Scan data in ScanIP software. This model was imported in Geomagic design software and computational model of post-op patella was created. This was further analysed to determine the inclination of the patellar resection plane, patellar button positioning and articular volumetric restoration of the patella. Reliability and reproducibility of the technique was tested by comparing 3 sets of 10 measurements done by 2 independent investigators on 30 computational models of patellae derived from the data of randomly chosen 30 TKA patients.