A Novel Osteoporotic Bone Fracture Simulation System Enabling Safer and More Effective Fracture Fixation Surgery and Implant Design for Elderly Patients


Grant Data
Project Title
A Novel Osteoporotic Bone Fracture Simulation System Enabling Safer and More Effective Fracture Fixation Surgery and Implant Design for Elderly Patients
Principal Investigator
Professor Wong, Tak Man   (Project Coordinator (PC))
Co-Investigator(s)
Dr Boles Erica Ann   (Co-Investigator)
Professor Leung Frankie Ka Li   (Co-Investigator)
Dr. KULPER Sloan Austin   (Co-Investigator)
Dr. XU Lei   (Co-Investigator)
Dr Fang Xin Hao Benjamin   (Co-Investigator)
Professor Lu William Weijia   (Co-Investigator)
Professor Ngan Alfonso Hing Wan   (Co-Investigator)
Duration
18
Start Date
2017-06-01
Completion Date
2018-11-30
Amount
1398114
Conference Title
A Novel Osteoporotic Bone Fracture Simulation System Enabling Safer and More Effective Fracture Fixation Surgery and Implant Design for Elderly Patients
Keywords
Elderly Patients, Fracture Fixation Surgery, More Effective, Osteoporotic Bone Fracture Simulation System, Safer
Discipline
Ageing
HKU Project Code
ITS/470/16
Grant Type
Innovation and Technology Support Programme (Tier 3)
Funding Year
2016
Status
Completed
Objectives
Osteoporotic fractures of the hip, shoulder, and spine are frequent in the elderly and represent a growing worldwide challenge. Osteoporotic bone is a complex porous material with mechanical behaviors that are difficult to simulate in the computer. Our team has made a breakthrough in this area, allowing us to accurately predict the performance of implants used to repair osteoporotic fractures. We believe that patients would benefit from a clinical version of our software that allows surgeons to input X-ray images and simulate the performance of various implant types, sizes, and positions, avoiding potential complications before reaching the operating theatre. The project goal is to develop our prototype into a fully functional proof of concept – an application for PC and mobile suitable for experimental clinical use as well as demonstration to potential industry partners. R&D will consist of three parallel efforts: (1) development of our novel discrete element method-based simulation engine to make it more robust, fast, and stable; (2) development of a user-friendly system suitable for clinicians; (3) rigorous validation of simulated results using biomechanical experiments with real human bone specimens and implants. We will also produce several academic publications and patents based on our work during the development process.