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[11C]PIB amyloid quantification : effect of reference region selection

Heeman, Fiona ; Hendriks, Janine ; Lopes Alves, Isadora ; Ossenkoppele, Rik LU ; Tolboom, Nelleke ; van Berckel, Bart N.M. ; Lammertsma, Adriaan A. and Yaqub, Maqsood (2020) In EJNMMI Research 10(1).
Abstract

Background: The standard reference region (RR) for amyloid-beta (Aβ) PET studies is the cerebellar grey matter (GMCB), while alternative RRs have mostly been utilized without prior validation against the gold standard. This study compared five commonly used RRs to gold standard plasma input-based quantification using the GMCB. Methods: Thirteen subjects from a test–retest (TRT) study and 30 from a longitudinal study were retrospectively included (total: 17 Alzheimer’s disease, 13 mild cognitive impairment, 13 controls). Dynamic [11C]PiB PET (90 min) and T1-weighted MR scans were co-registered and time–activity curves were extracted for cortical target regions and the following RRs: GMCB, whole cerebellum (WCB), white matter... (More)

Background: The standard reference region (RR) for amyloid-beta (Aβ) PET studies is the cerebellar grey matter (GMCB), while alternative RRs have mostly been utilized without prior validation against the gold standard. This study compared five commonly used RRs to gold standard plasma input-based quantification using the GMCB. Methods: Thirteen subjects from a test–retest (TRT) study and 30 from a longitudinal study were retrospectively included (total: 17 Alzheimer’s disease, 13 mild cognitive impairment, 13 controls). Dynamic [11C]PiB PET (90 min) and T1-weighted MR scans were co-registered and time–activity curves were extracted for cortical target regions and the following RRs: GMCB, whole cerebellum (WCB), white matter brainstem/pons (WMBS), whole brainstem (WBS) and eroded subcortical white matter (WMES). A two-tissue reversible plasma input model (2T4k_Vb) with GMCB as RR, reference Logan and the simplified reference tissue model were used to derive distribution volume ratios (DVRs), and standardized uptake value (SUV) ratios were calculated for 40–60 min and 60–90 min intervals. Parameter variability was evaluated using TRT scans, and correlations and agreements with the gold standard (DVR from 2T4k_Vb with GMCB RR) were also assessed. Next, longitudinal changes in SUVs (both intervals) were assessed for each RR. Finally, the ability to discriminate between visually Aβ positive and Aβ negative scans was assessed. Results: All RRs yielded stable TRT performance (max 5.1% variability), with WCB consistently showing lower variability. All approaches were able to discriminate between Aβ positive and Aβ negative scans, with highest effect sizes obtained for GMCB (range − 0.9 to − 0.7), followed by WCB (range − 0.8 to − 0.6). Furthermore, all approaches provided good correlations with the gold standard (r ≥ 0.78), while the highest bias (as assessed by the regression slope) was observed using WMES (range slope 0.52–0.67), followed by WBS (range slope 0.58–0.92) and WMBS (range slope 0.62–0.91). Finally, RR SUVs were stable across a period of 2.6 years for all except WBS and WMBS RRs (60–90 min interval). Conclusions: GMCB and WCB are considered the best RRs for quantifying amyloid burden using [11C]PiB PET.

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organization
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Contribution to journal
publication status
published
subject
keywords
Alzheimer’s disease, Amyloid PET, Quantification, Reference regions, [C]PiB
in
EJNMMI Research
volume
10
issue
1
article number
123
publisher
BioMed Central (BMC)
external identifiers
  • scopus:85095607825
  • pmid:33074395
ISSN
2191-219X
DOI
10.1186/s13550-020-00714-1
language
English
LU publication?
yes
id
38f0c205-ea3e-485d-a26a-ee717c625449
date added to LUP
2021-01-11 16:20:12
date last changed
2024-06-13 04:17:25
@article{38f0c205-ea3e-485d-a26a-ee717c625449,
  abstract     = {{<p>Background: The standard reference region (RR) for amyloid-beta (Aβ) PET studies is the cerebellar grey matter (GMCB), while alternative RRs have mostly been utilized without prior validation against the gold standard. This study compared five commonly used RRs to gold standard plasma input-based quantification using the GMCB. Methods: Thirteen subjects from a test–retest (TRT) study and 30 from a longitudinal study were retrospectively included (total: 17 Alzheimer’s disease, 13 mild cognitive impairment, 13 controls). Dynamic [<sup>11</sup>C]PiB PET (90 min) and T1-weighted MR scans were co-registered and time–activity curves were extracted for cortical target regions and the following RRs: GMCB, whole cerebellum (WCB), white matter brainstem/pons (WMBS), whole brainstem (WBS) and eroded subcortical white matter (WMES). A two-tissue reversible plasma input model (2T4k_V<sub>b</sub>) with GMCB as RR, reference Logan and the simplified reference tissue model were used to derive distribution volume ratios (DVRs), and standardized uptake value (SUV) ratios were calculated for 40–60 min and 60–90 min intervals. Parameter variability was evaluated using TRT scans, and correlations and agreements with the gold standard (DVR from 2T4k_V<sub>b</sub> with GMCB RR) were also assessed. Next, longitudinal changes in SUVs (both intervals) were assessed for each RR. Finally, the ability to discriminate between visually Aβ positive and Aβ negative scans was assessed. Results: All RRs yielded stable TRT performance (max 5.1% variability), with WCB consistently showing lower variability. All approaches were able to discriminate between Aβ positive and Aβ negative scans, with highest effect sizes obtained for GMCB (range − 0.9 to − 0.7), followed by WCB (range − 0.8 to − 0.6). Furthermore, all approaches provided good correlations with the gold standard (r ≥ 0.78), while the highest bias (as assessed by the regression slope) was observed using WMES (range slope 0.52–0.67), followed by WBS (range slope 0.58–0.92) and WMBS (range slope 0.62–0.91). Finally, RR SUVs were stable across a period of 2.6 years for all except WBS and WMBS RRs (60–90 min interval). Conclusions: GMCB and WCB are considered the best RRs for quantifying amyloid burden using [<sup>11</sup>C]PiB PET.</p>}},
  author       = {{Heeman, Fiona and Hendriks, Janine and Lopes Alves, Isadora and Ossenkoppele, Rik and Tolboom, Nelleke and van Berckel, Bart N.M. and Lammertsma, Adriaan A. and Yaqub, Maqsood}},
  issn         = {{2191-219X}},
  keywords     = {{Alzheimer’s disease; Amyloid PET; Quantification; Reference regions; [C]PiB}},
  language     = {{eng}},
  number       = {{1}},
  publisher    = {{BioMed Central (BMC)}},
  series       = {{EJNMMI Research}},
  title        = {{[<sup>11</sup>C]PIB amyloid quantification : effect of reference region selection}},
  url          = {{http://dx.doi.org/10.1186/s13550-020-00714-1}},
  doi          = {{10.1186/s13550-020-00714-1}},
  volume       = {{10}},
  year         = {{2020}},
}