En Attendant Centiloid

Victor L. Villemagne; Vincent Doré; Paul Yates; Belinda Brown; Rachel Mulligan; Pierrick Bourgeat; Robyn Veljanoski; Stephanie R. Rainey-Smith; Kevin Ong; Alan Rembach; Robert Williams; Samantha C. Burnham; Simon M. Laws; Olivier Salvado; Kevin Taddei; S. Lance Macaulay; Ralph N. Martins; David Ames; Colin L. Masters; Christopher C. Rowe

doi:10.9734/AIR/2014/11599

Research Article Open access CC BY 3.0

En Attendant Centiloid

Victor L. Villemagne, Vincent Doré, Paul Yates, Belinda Brown, Rachel Mulligan, Pierrick Bourgeat, Robyn Veljanoski, Stephanie R. Rainey-Smith, Kevin Ong, Alan Rembach, Robert Williams, Samantha C. Burnham, Simon M. Laws, Olivier Salvado, Kevin Taddei, S. Lance Macaulay, Ralph N. Martins, David Ames, Colin L. Masters, Christopher C. Rowe

Advances in Research · pp. 723–729 · Published 8 Jul 2014

10.9734/AIR/2014/11599

Abstract

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.

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Victor L. Villemagne, Vincent Doré, Paul Yates, Belinda Brown, Rachel Mulligan, Pierrick Bourgeat, Robyn Veljanoski, Stephanie R. Rainey-Smith, Kevin Ong, Alan Rembach, Robert Williams, Samantha C. Burnham, Simon M. Laws, Olivier Salvado, Kevin Taddei, S. Lance Macaulay, Ralph N. Martins, David Ames, Colin L. Masters, Christopher C. Rowe (2014). En Attendant Centiloid. Advances in Research , 723–729. https://doi.org/10.9734/AIR/2014/11599

Affiliations

Victor L. Villemagne — Department of Nuclear Medicine and Centre for PET, Austin Health, Melbourne, Australia and The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Melbourne, Australia and Department of Medicine, Austin Health, The University of Melbourne, Melbourne, Australia
Vincent Doré — Commonwealth Scientific Industrial Research Organization Preventative Health Flagship, CCI, Brisbane, Australia
Paul Yates — Department of Nuclear Medicine and Centre for PET, Austin Health, Melbourne, Australia
Belinda Brown — Centre of Excellence for Alzheimer’s Disease Research and Care, School of Medical Sciences, Edith Cowan University, Perth, Australia
Rachel Mulligan — Department of Nuclear Medicine and Centre for PET, Austin Health, Melbourne, Australia
Pierrick Bourgeat — Commonwealth Scientific Industrial Research Organization Preventative Health Flagship, CCI, Brisbane, Australia
Robyn Veljanoski — Department of Nuclear Medicine and Centre for PET, Austin Health, Melbourne, Australia
Stephanie R. Rainey-Smith — Centre of Excellence for Alzheimer’s Disease Research and Care, School of Medical Sciences, Edith Cowan University, Perth, Australia and Sir James McCusker Alzheimer’s Disease Research Unit (Hollywood Private Hospital), Perth, Australia
Kevin Ong — Department of Nuclear Medicine and Centre for PET, Austin Health, Melbourne, Australia
Alan Rembach — The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Melbourne, Australia
Robert Williams — Department of Nuclear Medicine and Centre for PET, Austin Health, Melbourne, Australia
Samantha C. Burnham — Commonwealth Scientific Industrial Research Organization Preventative Health Flagship, Melbourne, Australia
Simon M. Laws — Centre of Excellence for Alzheimer’s Disease Research and Care, School of Medical Sciences, Edith Cowan University, Perth, Australia and Sir James McCusker Alzheimer’s Disease Research Unit (Hollywood Private Hospital), Perth, Australia
Olivier Salvado — Commonwealth Scientific Industrial Research Organization Preventative Health Flagship, CCI, Brisbane, Australia
Kevin Taddei — Commonwealth Scientific Industrial Research Organization Preventative Health Flagship, CCI, Brisbane, Australia
S. Lance Macaulay — Commonwealth Scientific Industrial Research Organization Preventative Health Flagship, Melbourne, Australia
Ralph N. Martins — Centre of Excellence for Alzheimer’s Disease Research and Care, School of Medical Sciences, Edith Cowan University, Perth, Australia andSir James McCusker Alzheimer’s Disease Research Unit (Hollywood Private Hospital), Perth, Australia and School of Psychiatry and Clinical Neurosciences, University of Western Australia, Perth, Australia
David Ames — National Ageing Research Institute, Melbourne, Australia and University of Melbourne Academic Unit for Psychiatry of Old Age, St George's Hospital, Melbourne, Australia
Colin L. Masters — The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Melbourne, Australia
Christopher C. Rowe — Department of Nuclear Medicine and Centre for PET, Austin Health, Melbourne, Australia

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