A Semiautomated Method for Quantification of F 18 Florbetapir PET Images

J Nucl Med. 2015 Nov;56(11):1736-41. doi: 10.2967/jnumed.114.153494. Epub 2015 Sep 3.

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.

Keywords: Alzheimer’s; PET; florbetapir; neuropathology; quantification.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Alzheimer Disease / diagnostic imaging
  • Amyloidogenic Proteins / metabolism
  • Amyloidosis / diagnostic imaging
  • Amyloidosis / pathology
  • Aniline Compounds*
  • Automation
  • Autopsy
  • Brain / diagnostic imaging
  • Cerebellum / diagnostic imaging
  • Ethylene Glycols*
  • Female
  • Humans
  • Image Processing, Computer-Assisted / methods*
  • Male
  • Middle Aged
  • Pons / diagnostic imaging
  • Positron-Emission Tomography / methods*
  • Positron-Emission Tomography / statistics & numerical data
  • Radiopharmaceuticals*
  • Reproducibility of Results

Substances

  • Amyloidogenic Proteins
  • Aniline Compounds
  • Ethylene Glycols
  • Radiopharmaceuticals
  • florbetapir