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
- Medicine and Radiology
- Western Health
|Professor Gustavo Duquefirstname.lastname@example.org||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).
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
PhD, Masters by Research, Honours
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