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

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 qu...

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Autores principales: Heeman, Fiona, Hendriks, Janine, Lopes Alves, Isadora, Ossenkoppele, Rik, Tolboom, Nelleke, van Berckel, Bart N. M., Lammertsma, Adriaan A., Yaqub, Maqsood
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7572969/
https://www.ncbi.nlm.nih.gov/pubmed/33074395
http://dx.doi.org/10.1186/s13550-020-00714-1
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author Heeman, Fiona
Hendriks, Janine
Lopes Alves, Isadora
Ossenkoppele, Rik
Tolboom, Nelleke
van Berckel, Bart N. M.
Lammertsma, Adriaan A.
Yaqub, Maqsood
author_facet Heeman, Fiona
Hendriks, Janine
Lopes Alves, Isadora
Ossenkoppele, Rik
Tolboom, Nelleke
van Berckel, Bart N. M.
Lammertsma, Adriaan A.
Yaqub, Maqsood
author_sort Heeman, Fiona
collection PubMed
description 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 [(11)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(b)) 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(b) 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 [(11)C]PiB PET.
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spelling pubmed-75729692020-10-20 [(11)C]PIB amyloid quantification: effect of reference region selection Heeman, Fiona Hendriks, Janine Lopes Alves, Isadora Ossenkoppele, Rik Tolboom, Nelleke van Berckel, Bart N. M. Lammertsma, Adriaan A. Yaqub, Maqsood EJNMMI Res Original Research 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 [(11)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(b)) 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(b) 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 [(11)C]PiB PET. Springer Berlin Heidelberg 2020-10-19 /pmc/articles/PMC7572969/ /pubmed/33074395 http://dx.doi.org/10.1186/s13550-020-00714-1 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Original Research
Heeman, Fiona
Hendriks, Janine
Lopes Alves, Isadora
Ossenkoppele, Rik
Tolboom, Nelleke
van Berckel, Bart N. M.
Lammertsma, Adriaan A.
Yaqub, Maqsood
[(11)C]PIB amyloid quantification: effect of reference region selection
title [(11)C]PIB amyloid quantification: effect of reference region selection
title_full [(11)C]PIB amyloid quantification: effect of reference region selection
title_fullStr [(11)C]PIB amyloid quantification: effect of reference region selection
title_full_unstemmed [(11)C]PIB amyloid quantification: effect of reference region selection
title_short [(11)C]PIB amyloid quantification: effect of reference region selection
title_sort [(11)c]pib amyloid quantification: effect of reference region selection
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7572969/
https://www.ncbi.nlm.nih.gov/pubmed/33074395
http://dx.doi.org/10.1186/s13550-020-00714-1
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