We are developing technologies to predict, diagnose, and monitor neurodegenerative diseases from imaging data and blood exam.
The increasing health costs and lost productivity from neurodegenerative diseases such as Alzheimer’s disease (AD), exacerbated by the ageing population, is a major National problem estimated to be $5.6b in 2002, including $3.2b in direct health costs (Access Economics 2005). The population >65 is expected to increase from 13% to 30% by 2040, with 54,000 new AD cases estimated in 2006 alone (of 210,000 new dementias and with 730,000 anticipated by 2040; CEDA). Delaying onset of the major dementia (i.e. AD) by 5 years could reduce new cases by 50% with cumulative health cost savings of up to $13.5 billion by 2020 (Access Economics 2005 estimation).
The causes of dementia are not well understood and current diagnosis is difficult because there are as yet no known biological markers. The relatively advanced loss of cognitive function necessary for current clinical diagnosis of dementia generally results in irreversible neuronal dysfunction. If objective evidence of AD pathological lesions could be found early (before cognitive or behavioural symptoms), appropriate treatment and care could be provided, resulting in delayed onset or prevention of AD.
The Biomedical Informatics Group the Australian e-Health Research Centre (AEHRC) in Brisbane is developing key technologies for in vivo quantitative assessment of Tau and Amyloid-b (Ab) deposition suspected to be an early marker of AD. We are collaborating with AIBL, the Australian Imaging Biomarker and Lifestyle study, and the CRC for Mental Health. The AIBL cohort includes more than 1000 participants comprising healthy volunteers, patients with mild cognitive impairment, and patients suffering from mild Alzheimer’s disease. All those patients with undergo psychocognitive evaluation, blood exams, lifestyle assessment, and imaging. Imaging includes Positron Emission Tomography (PET), and Magnetic Resonance Imaging (MRI).
Multimodality imaging. Magnetic Resonance Imaging includes contrasts for anatomical characterization (T1W, PDW, T2W), structural integrity of the white matter (DWI), and pathological imaging (FLAIR, SWI). Patients will be scanned at the Brain Research Institute and the Austin Health PET Centre in Melbourne, as well as the Hollywood Private Hospital and the Royal Perth Hospital. PET imaging includes markers for glucose metabolism FDG, Amyloid and Tau imaging.
Bioinformatics research. We are developing technologies to predict, diagnose, and monitor neurodegenerative diseases from imaging data and blood exam. Through our cloud computing platform MILXcloud, MRI and PET scans can be uploaded and processed on our server to generate imaging biomarkers such as cortical thickness, white matter lesions, Amyloid load, or Tau deposition. We have developed panels from blood exam that can predict brain Amyloid load and be used to screen subjects to undergo PET imaging. Another technology is using inexpensive retinal scan to screen and diagnose Alzheimer’s disease.