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Validation of amyloid PET positivity thresholds in centiloids: a multisite PET study approach.

Sarah K RoyseDavneet S MinhasBrian J LoprestiAlice MurphyTyler WardRobert A KoeppeSantiago BullichSusan DeSantiWilliam J JagustSusan M Landaunull null
Published in: Alzheimer's research & therapy (2021)
The FBB threshold based on the young sample (1.08; 18 CL) was consistent with that of the data-driven approach (1.10; 21 CL), and the existing FBP threshold converted to CL with the derived transformation (1.11; 20 CL). The following equations can be used to convert whole cerebellum- (cross-sectional) and composite- (longitudinal) normalized FBB and FBP data quantified with the native-space pipeline to CL units: [18F]FBB: CLwhole cerebellum = 157.15 × SUVRFBB - 151.87; threshold=1.08, 18 CL [18F]FBP: CLwhole cerebellum = 188.22 × SUVRFBP - 189.16; threshold=1.11, 20 CL [18F]FBB: CLcomposite = 244.20 × SUVRFBB - 170.80 [18F]FBP: CLcomposite = 300.66 × SUVRFBP - 208.84 CONCLUSIONS: FBB and FBP positivity thresholds derived from independent young control samples and quantified using an automated, native-space approach result in similar CL values. These findings are applicable to thousands of available and anticipated outcomes analyzed using this pipeline and shared with the scientific community. This work demonstrates the feasibility of harmonized PET acquisition and analysis in multisite PET studies and internal consistency of positivity thresholds in standardized units.
Keyphrases
  • cross sectional
  • computed tomography
  • pet ct
  • pet imaging
  • healthcare
  • mental health
  • metabolic syndrome
  • skeletal muscle
  • adipose tissue
  • insulin resistance
  • weight loss
  • case control