The Orthopaedic Surgery Department brings together surgeons from different specialties with a common interest in improving the diagnosis and management of musculoskeletal diseases and injuries.
We are currently conducting research into hip and knee replacement, frozen shoulder, rotator cuff tendon disease, acute spinal injuries, musculoskeletal trauma and hand tendon dysfunction and repair.
Professor of Orthopaedics and Traumatic
Chair of Institute of Bone and Joint Research
Surgery, The University of Sydney & Northern Sydney Local Health District (Royal North Shore Hospital)
Postdoctoral Research Associate
Sydney Medical School / Northern Clinical School
Dr A. Mounir Boudali - Orthopaedics Research Engineer
Dr Nathan Hartin - Orthopaedic Surgeon
Dr Benjamin Cass - Orthopaedic Surgeon
Dr Andrew Ellis - Orthopaedic Surgeon
Dr Dimitri Papadimitriou - Orthopaedic Surgeon
Dr Sean Suttor - Orthopaedic Surgeon
Dr Michael Symes - Orthopaedic Surgeon
Dr Myles Coolican - Orthopaedic Surgeon
Dr Joseph Issacs - Orthopaedic Surgeon
Dr Andrew Cree - Orthopaedic Surgeon
Dr Randolf Gray - Orthopaedic Surgeon
Dr David Parker - Orthopaedic Surgeon
Dr Andrew Wines - Orthopaedic Surgeon
Dr Terence Moopanar - Orthopaedic Surgeon
Lyn McDonald - Research Nurse
Goal: Total knee replacement may be stable or unstable in the sagittal plane. Sagittal stability can be measured by Lachman test, anterior drawer KT1000. Sagittal stability is an important factor determining reported outcomes and function.
Kinematics of a medial ball and socket and a single radius cruciate retaining total knee arthroplasty designs were compared using KneeKG in this study.
Re: Assessment of the proximal femoral morphology using plain radiograph – Can it predict the bone quality?
This project investigates the potential factors that influence the implant size disagreement between the pre-operative planning and the actual implant selected intraoperatively. The 3D assisted pre-operative planning and implant simulation method are involved in this project.
Digital twin is an AI concept that has recent advances in digitizing our physical world real-timely using historical data. This project explores a digital twin model that continuously and dynamically corrects its insight considering the patient-specific parameters, refine patient and treatment classifications, predict the future health trajectory of individuals to allow for early interventions.
The accurate cutting of patella for a correct thickness in different quadrants is essential for the success of the prosthesis implantation. This project aims at designing a patella cutting tool that has the ability to position and cutting a patella accurately and steadily.
Posted on: 30 May, 2023
Our researchers at the Kolling Institute are encouraging those with osteoarthritis to rely on treatm..... Read more
Category: Musculoskeletal Research, Research Excellence
Posted on: 23 May, 2023
A new study by researchers at the Kolling Institute estimates more than 800 million people will be l..... Read more
Category: Musculoskeletal Research
Posted on: 16 May, 2023
Researchers from the Kolling Institute have led an international study investigating why some people..... Read more
Category: Research Excellence, World-leading technology