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Advances in Research

Advances in Research, ISSN: 2348-0394,Vol.: 2, Issue.: 12 (December)


Short Research Article


En Attendant Centiloid



Victor L. Villemagne1,2,3*, Vincent Doré4, Paul Yates1, Belinda Brown5, Rachel Mulligan1, Pierrick Bourgeat4, Robyn Veljanoski1, Stephanie R. Rainey-Smith5,6, Kevin Ong1, Alan Rembach2, Robert Williams1, Samantha C. Burnham7, Simon M. Laws5,6, Olivier Salvado4, Kevin Taddei4, S. Lance Macaulay7, Ralph N. Martins5,6,8, David Ames9,10, Colin L. Masters2 and Christopher C. Rowe1

1Department of Nuclear Medicine and Centre for PET, Austin Health, Melbourne, Australia.
2The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Melbourne, Australia.
3Department of Medicine, Austin Health, The University of Melbourne, Melbourne, Australia.
4Commonwealth Scientific Industrial Research Organization Preventative Health Flagship, CCI, Brisbane, Australia.
5Centre of Excellence for Alzheimer’s Disease Research and Care, School of Medical Sciences, Edith Cowan University, Perth, Australia.
6Sir James McCusker Alzheimer’s Disease Research Unit (Hollywood Private Hospital), Perth, Australia.
7Commonwealth Scientific Industrial Research Organization Preventative Health Flagship, Melbourne, Australia.
8School of Psychiatry and Clinical Neurosciences, University of Western Australia, Perth, Australia.
9National Ageing Research Institute, Melbourne, Australia.
10University of Melbourne Academic Unit for Psychiatry of Old Age, St George's Hospital, Melbourne, Australia.




Aims: Test the robustness of a linear regression transformation of semiquantitative values from different Aβ tracers into a single continuous scale.
Study Design: Retrospective analysis.
Place and Duration of Study: PET imaging data acquired in Melbourne and Perth, Australia, between August 2006 and May 2014.
Methodology: Aβ imaging in 633 participants was performed with four different radiotracers: flutemetamol (n=267), florbetapir (n=195), florbetaben (n=126) and NAV4694 (n=45). SUVR were generated with the methods recommended for each tracer, and classified as high (Aβ+) or low (Aβ-) based on their respective thresholds. Linear regression transformation based on reported head-to-head comparisons of each tracer with PiB was applied to each tracer result. Each tracer native classification was compared with the classification derived from the transformed data into PiB-like SUVR units (or BeCKeT: Before the Centiloid Kernel Transformation) using 1.50 as a cut-off.
Results: Misclassification after transformation to PiB-like SUVR compared to native classification was extremely low with only 3/267 (1.1%) of flutemetamol, 1/195 (0.5%) of florbetapir, 1/45 (2.2%) of NAV4694, and 1/126 (0.8%) of florbetaben cases assigned into the wrong category. When misclassification occurred (<1% of all cases) it was restricted to an extremely narrow margin (±0.02 BeCKeT) around the 1.50 BeCKeT threshold.

Conclusion: While a definitive transformation into centesimal units is being established, application of linear regression transformations provide an interim, albeit robust, way of converting results from different Aβ imaging tracers into more familiar PiB-like SUVR units.


Keywords :

Alzheimer’s disease; the Australian imaging biomarkers and lifestyle study of ageing; Aβ imaging; dementia; centiloid.


Full Article - PDF    Page 723-729    Article Metrics


DOI : 10.9734/AIR/2014/11599

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