Development of Marrow Fat Quantification as a Predictor of Poor Outcomes in Osteosarcopenia

Research Opportunity
PhD, Masters by Research, Honours
Number of Honour Places Available
1
Department
Medicine and Radiology
Location
Western Health
Primary Supervisor Email Number Webpage
Professor Gustavo Duque gustavo.duque@unimelb.edu.au Personal web page

Summary The number of diagnostic methods for osteosarcopenia remains limited especially those with the reliability to predict poor outcomes in older persons.The aims of this project are to develop and validate a new potential diagnostic method for osteosarcopenia based on the fat volume within the bone marrow and muscles of humans (prospective study and retrospective analysis of images obtained in major human studies).

Project Details

In older persons, the combination of osteopenia/osteoporosis and sarcopenia has been proposed as a subset of frailer individuals at higher risk of institutionalization, falls and fractures. The number of diagnostic methods for osteosarcopenia remains limited especially those with the reliability to predict poor outcomes in this population.

We have developed a new potential method for the diagnosis of osteosarcopenia which compares the volume of bone marrow and muscle fat infiltration vs. bone and muscle mass quantified in CT scan images. Our preliminary data has shown that this method is as sensitive as the histological one to quantify fat and bone volumes.The aims of this project are to develop and validate a new potential diagnostic method for osteosarcopenia based on the fat volume within the bone marrow and muscles of humans (prospective study and retrospective analysis of images obtained in major human studies). If the hypothesis formulated in this proposal is correct, this would be the initial step for the development of a new diagnostic method for osteosarcopenia. We feel that the use of image analysis of CT scans is just the initial step. Therefore, a long-term goal of this project is the development of a more specific diagnostic method for the quantification of fat within bone and muscle, which would be not only affordable and non-invasive but also more specific for the prediction of fractures since it would look at one important aspect of bone and muscle quality that has not been previously assessed in large populations.


School Research Themes

Musculoskeletal



Research Opportunities

PhD, Masters by Research, Honours
Students who are interested in joining this project will need to consider their elegibility as well as other requirements before contacting the supervisor of this research

Graduate Research application

Honours application

Key Contact

For further information about this research, please contact a supervisor.

Department

Medicine and Radiology

Research Node

Western Health

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