rPOP: Robust PET‐only processing and quantification of community‐acquired amyloid‐PET from the IDEAS Study
Iaccarino, Leonardo; La Joie, Renaud; Koeppe, Robert; Siegel, Barry A; Hillner, Bruce E; Gatsonis, Constantine; Whitmer, Rachel A.; Carrillo, Maria C.; Apgar, Charles; Camacho, Monica R; Nosheny, Rachel L; Weiner, Mike W.; Rabinovici, Gil D.
2021-12
Citation
Iaccarino, Leonardo; La Joie, Renaud; Koeppe, Robert; Siegel, Barry A; Hillner, Bruce E; Gatsonis, Constantine; Whitmer, Rachel A.; Carrillo, Maria C.; Apgar, Charles; Camacho, Monica R; Nosheny, Rachel L; Weiner, Mike W.; Rabinovici, Gil D. (2021). "rPOP: Robust PET‐only processing and quantification of community‐acquired amyloid‐PET from the IDEAS Study." Alzheimer’s & Dementia 17: n/a-n/a.
Abstract
BackgroundThe Imaging Dementia‐Evidence for Amyloid Scanning (IDEAS) Study collected over 15,000 community‐acquired amyloid‐PET scans, without structural MRI and with different acquisition times, tracers and scanners. Here we describe and validate rPOP (robust PET‐Only Processing), a pipeline for 18F‐Florbetapir (FBP), 18F‐Florbetaben (FBB) and 18F‐Flutemetamol (FLUTE) scans collected in IDEAS.MethodEach image undergoes automatic origin reset to center of mass, spatial normalization based on weighted PET templates (with SPM12) and data‐driven differential smoothing (with AFNI). We received n=740 (514 FBP, 182 FBB, 44 FLUTE) amyloid‐PET scans from the IDEAS–Brain Health Registry substudy (IDEAS‐BHR), with amyloid‐PET local visual reads available for N=663 scans. We performed semi‐quantification via rPOP and estimated neocortical Centiloids after tracer‐specific calibrations using the GAAIN VOIs with whole cerebellum reference. Centiloids were calculated for clinical groups (MCI or dementia), to compare rPOP‐based amyloid‐status (centiloids≥24.4) with visual reads. The pipeline was validated with n=1518 ADNI scans (n=1249 FBP, n=269 FBB), using MRI‐based amyloid‐status as a reference and testing the associations between rPOP‐ and MRI‐based centiloids.ResultrPOP successfully processed N=2233/2258 (98.9%) scans in the first pass, with N=24/25 warping‐related failures rescued with a manual reorientation and origin reset prior to warping. In IDEAS‐BHR, we observed the expected centiloids distribution (Figure 1A‐B) both according to visual reads and also stratifying by clinical stage amyloid‐negative, i.e. mean±sd Centiloids MCI/Dementia: 2±23/‐5±27; amyloid‐positive: MCI/Dementia: 65±42/80±37. There was high concordance (Table 1) between rPOP‐based amyloid status and both local visual reads (IDEAS‐BHR, Cohen’s k=0.72 [0.7‐0.74], ∼86% concordance). Very high concordance was also observed in the ADNI dataset (k=0.88 [0.87‐0.89], ∼94% concordance), with rPOP‐ and MRI‐based Centiloids being strongly linearly associated (R2:0.95, p<0.001), with a tighter relationship in images with better resolution (β= ‐0.016, p<0.001).ConclusionWith rPOP, we successfully derived Centiloids quantification from heterogeneous IDEAS amyloid‐PET scans and validated the pipeline with ADNI scans acquired in a research setting. These data show that community‐acquired amyloid‐PET scans can be successfully analyzed, enabling joint efforts by clinical sites and research centers.Publisher
Wiley Periodicals, Inc.
ISSN
1552-5260 1552-5279
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