A semiautomated method for quantification of F 18 florbetapir PET images

Abhinay D. Joshi, Michael J. Pontecorvo, Ming Lu, Daniel M. Skovronsky, Mark A. Mintun, Michael D. Devous

Research output: Contribution to journalArticle

36 Scopus citations

Abstract

PET amyloid imaging is increasingly used in research trials related to Alzheimer disease and has potential as a quantitative biomarker. This study had 3 objectives: first, to describe a semiautomated quantitative method that does not require subject-specific MR imaging scans for estimating F 18 Florbetapir plaque binding using 10-min PET images; second, to evaluate the method's accuracy for identifying positive and negative scans; and third, to correlate derived standardized uptake value ratios to neuropathologic measures of amyloid. Methods: The F 18 Florbetapir PET images are initially converted to Montreal Neurologic Institute brain atlas space using an internally developed PET target F 18 Florbetapir template. Subsequently, a single mean cortical standardized uptake value ratio (mcSUVr) is calculated from the mean standardized uptake value of 6 cortical regions normalized to a reference region. Four reference regions were explored: whole cerebellum, cerebellar gray matter, pons, and centrum semiovale. The performance of the resultant mcSUVrs were evaluated in 74 young cognitively normal subjects (age <50 y) with a negligible likelihood of amyloid β pathology, and in 59 deceased subjects with autopsy-based amyloid β neuritic plaque measure who underwent F 18 Florbetapir PET imaging before death. Results: Significant correlations were obtained between mcSUVrs and 3 different pathologic measures of amyloid deposition at autopsy using all 4 reference regions, with the whole-cerebellum mcSUVr correlating most strongly across pathologic measures (r = 0.71-0.75, P <0.0001). Using the whole-cerebellum mcSUVr and a threshold mcSUVr of less than 1.10, 100% of young cognitively normal subjects were correctly classified as amyloid-negative (mcSUVr range, 0.87-1.08). Similarly, 20 of 20 autopsy-negative subjects showed mcSUVrs of 1.10 or less, whereas 38 of 39 pathology-verified amyloid-positive subjects had mcSUVrs of more than 1.10. Conclusion: This semiautomated F 18 Florbetapir PET quantification method yielded mcSUVrs that significantly correlated with measures of amyloid pathology at autopsy. The method also effectively discriminated autopsy-identified amyloid-positive and -negative cases using a whole-cerebellum mcSUVr threshold of 1.10.

Original languageEnglish (US)
Pages (from-to)1736-1741
Number of pages6
JournalJournal of Nuclear Medicine
Volume56
Issue number11
DOIs
StatePublished - Nov 1 2015

Keywords

  • Alzheimer's
  • Florbetapir
  • Neuropathology
  • PET
  • Quantification

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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    Joshi, A. D., Pontecorvo, M. J., Lu, M., Skovronsky, D. M., Mintun, M. A., & Devous, M. D. (2015). A semiautomated method for quantification of F 18 florbetapir PET images. Journal of Nuclear Medicine, 56(11), 1736-1741. https://doi.org/10.2967/jnumed.114.153494