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Orthopaedic Proceedings
Vol. 105-B, Issue SUPP_2 | Pages 102 - 102
10 Feb 2023
White J Wadhawan A Min H Rabi Y Schmutz B Dowling J Tchernegovski A Bourgeat P Tetsworth K Fripp J Mitchell G Hacking C Williamson F Schuetz M
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Distal radius fractures (DRFs) are one of the most common types of fracture and one which is often treated surgically. Standard X-rays are obtained for DRFs, and in most cases that have an intra-articular component, a routine CT is also performed. However, it is estimated that CT is only required in 20% of cases and therefore routine CT's results in the overutilisation of resources burdening radiology and emergency departments. In this study, we explore the feasibility of using deep learning to differentiate intra- and extra-articular DRFs automatically and help streamline which fractures require a CT.

Retrospectively x-ray images were retrieved from 615 DRF patients who were treated with an ORIF at the Royal Brisbane and Women's Hospital. The images were classified into AO Type A, B or C fractures by three training registrars supervised by a consultant. Deep learning was utilised in a two-stage process: 1) localise and focus the region of interest around the wrist using the YOLOv5 object detection network and 2) classify the fracture using a EfficientNet-B3 network to differentiate intra- and extra-articular fractures.

The distal radius region of interest (ROI) detection stage using the ensemble model of YOLO networks detected all ROIs on the test set with no false positives. The average intersection over union between the YOLO detections and the ROI ground truth was Error! Digit expected.. The DRF classification stage using the EfficientNet-B3 ensemble achieved an area under the receiver operating characteristic curve of 0.82 for differentiating intra-articular fractures.

The proposed DRF classification framework using ensemble models of YOLO and EfficientNet achieved satisfactory performance in intra- and extra-articular fracture classification. This work demonstrates the potential in automatic fracture characterization using deep learning and can serve to streamline decision making for axial imaging helping to reduce unnecessary CT scans.


Orthopaedic Proceedings
Vol. 96-B, Issue SUPP_11 | Pages 215 - 215
1 Jul 2014
Christou C Rawlinson J Mitchell G Oliver R Walsh W
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Summary

Timing for the application and use of fentanyl patches for pre-emptive analgesia and sedation is crucial to obtain good clinical outcomes. Placement and timing is important to maximise clinical effect and apparent levels of analgesia.

Introduction

The use of sheep as preclinical models for the investigation of orthopaedic conditions is gaining momentum, the control of their pain is a significant ethical issue. The daily need for injecting non-steroidal anti-inflammatory drugs (NSAIDs) and/or the shorter acting opioids increases the demand for handling post-operatively which can increase animal distress and risk of human injury. NSAIDs can have a negative effect on bone healing, complicating results. Opioid analgesics have no impact on bone healing. Fentanyl patches have become another option for use in pain management. Pre-emptive analgesia helps reduce the demand on post-operative analgesic use. Fentanyl has the added benefit of producing mild sedation. This study evaluated the pharmacokinetics of fentanyl patches in sheep in an effort to maximise pre and post-surgical analgesia.


Orthopaedic Proceedings
Vol. 92-B, Issue SUPP_I | Pages 227 - 227
1 Mar 2010
Jeffery K Mitchell G
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In major lower limb amputation, preservation of the knee joint significantly improves outcome. In the severely compromised limb, to preserve the knee joint, high tibial transection may be necessary creating a less than optimal stump. This study reviews the outcome in below knee amputees with stumps 10cm or shorter.

All 209 below knee (BK) amputees attending the New Zealand Artificial Limb Board’s Dunedin Centre were reviewed. The centre is the sole provider of prosthetic services in the southern region. Forty-four amputees (21% of total) had stumps of 10cm or less in length as measured by caliper rule. After a minimum twelve month follow-up these amputees were placed in two groups.

Group 1: Short Stump (10cm to 8cm)

Group 2: Ultra Short Stump (7.5cm to 5cm)

Wood-Stanmore Grades were given for walking ability (Hanspal and Fisher 1991). Rehabilitation was further assessed using a modified Houghton Questionnaire (Houghton et al 1992).

Mean stump length for all 209 BK amputees was 12.5 centimeters (range 5 to 25 centimeters).

Group 1. Short Stump (ten to eight centimeters 0 – 37 amputees

Nineteen amputees – Good to Excellent (Wood – Stanmore Grade V and V1) i.e. walking indoors and outdoors without aids and with near normal gait. (10 trauma, four dysvascular, four tumour, one infection).

Fourteen amputees-Satisfactory (Grade 1V) i.e. walking aid indoors and outdoors (13 dysvascular, one congenital).

4 amputees – Fair Only (Grade 111) i.e. mostly indoors with frame (four dysvascular).

Group 2. Ultra Short Stump (7.5cm to 5cm) – seven amputees

Six amputees – Good to Excellent (Grade V or V1) – (all trauma)

One amputee – Fair Only (Grade 111) – (dysvascular)

Group one mostly had a posterior myocutaneous flap amputation with retention of the proximal fibula. In Group two, all had resection of the proximal fibula with varied flaps often with skin grafting. The patellar tendon was intact but two patients had lost the hamstring insertion with hyperextension of the knee, one requiring prosthesis with side steels and thigh corset. In group two the best results followed high resection of the common peroneal nerve and careful shaping of the tibial remnant. Cortical bone formed at the transection level allowing total contact prosthetic fitting with some end bearing.

BK amputation is described as optimally 12.5 centimeters to 17.5 centimeters below the knee joint (10 to 12.5 centimeters in vascular disease). Saving the knee should always be considered and with combined surgical and prosthetic skill a stump as short as five centimeters may be fitted satisfactorily particularly in the young and following trauma.