Programme(s) to which this project applies:
|☑ MPhil/PhD||☒ MRes[Med]||☒ URIS|
Objectives and Significance
For iatrogenic spinal cord injury, it is clinically useful if we can perform risk assessment of the likelihood of intra-operative iatrogenic spinal cord injury with the range of pre-operative risk factors. It is important to obtain a large and well-represented database from which we can identify risk factors and to develop accurate prediction models. This allows high-risk cases to be identified and to facilitate better patient management to avoid mishap.Research Plan and Methodology
Based on big data including data from clinical records, imaging and laboratory reports, risk factors for iatrogenic spinal cord injury will be identified for developing prediction models. Performance of these prediction models will be evaluated and compared prior to selecting the most appropriate for clinical validation.
Dr WHP Cheung, Department of Orthopaedics and Traumatology
This supervisor has research focuses of the use of big data , skeletal maturity and spinal deformity, as well as orthopaedic patients' HRQoL. She has large extent of experiences and publications in clinical orthopaedic researches, mapping between HRQoL assessment tools, cross-cultural adaptation and validation of questionnaires in both adults and children, as well as in-depth analyses of orthopaedic spinal conditions like scoliosis, low back pain in relation to changes of quality of life.
For more information or to express interest for this project, please email the supervisor or the specified contact point in the project description. Interested candidates are advised to enclose with your email:
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HKUMed MBBS students interested in the Master of Research in Medicine (MRes[Med]) programme may visit the programme website for more information.
HKUMed UG students interested in the Undergraduate Research Internship Scheme (URIS) may visit the scheme’s website for more information.