Abstract

[18F]Flortaucipir is a PET tau tracer used to visualize tau binding in Alzheimer’s disease (AD) in vivo. The present study evaluated the performance of several methods to obtain parametric images of [18F]flortaucipir. One hundred and thirty minutes dynamic PET scans were performed in 10 AD patients and 10 controls. Parametric images were generated using different linearization and basis function approaches. Regional binding potential (BPND) and volume of distribution (VT) values obtained from the parametric images were compared with corresponding values derived using the reversible two-tissue compartment model (2T4k_VB). Performance of SUVr parametric images was assessed by comparing values with distribution volume ratio (DVR) and SRTM-derived BPND estimates obtained using non-linear regression (NLR). Spectral analysis (SA) (r2= 0.92; slope = 0.99) derived VT correlated well with NLR-derived VT. RPM (r2= 0.95; slope = 0.98) derived BPND correlated well with NLR-derived DVR. Although SUVr80–100 min correlated well with NLR-derived DVR (r2= 0.91; slope = 1.09), bias in SUVr appeared to depend on uptake time and underlying level of specific binding. In conclusion, RPM and SA provide parametric images comparable to the NLR estimates. Individual SUVr values are biased compared with DVR and this bias requires further study in a larger dataset in order to understand its consequences.
Original languageEnglish
JournalJournal of Cerebral Blood Flow and Metabolism
DOIs
Publication statusE-pub ahead of print - 2018

Cite this

@article{a12811cad0334923a38e8273ff47f96a,
title = "Parametric methods for [18F]flortaucipir PET",
abstract = "[18F]Flortaucipir is a PET tau tracer used to visualize tau binding in Alzheimer’s disease (AD) in vivo. The present study evaluated the performance of several methods to obtain parametric images of [18F]flortaucipir. One hundred and thirty minutes dynamic PET scans were performed in 10 AD patients and 10 controls. Parametric images were generated using different linearization and basis function approaches. Regional binding potential (BPND) and volume of distribution (VT) values obtained from the parametric images were compared with corresponding values derived using the reversible two-tissue compartment model (2T4k_VB). Performance of SUVr parametric images was assessed by comparing values with distribution volume ratio (DVR) and SRTM-derived BPND estimates obtained using non-linear regression (NLR). Spectral analysis (SA) (r2= 0.92; slope = 0.99) derived VT correlated well with NLR-derived VT. RPM (r2= 0.95; slope = 0.98) derived BPND correlated well with NLR-derived DVR. Although SUVr80–100 min correlated well with NLR-derived DVR (r2= 0.91; slope = 1.09), bias in SUVr appeared to depend on uptake time and underlying level of specific binding. In conclusion, RPM and SA provide parametric images comparable to the NLR estimates. Individual SUVr values are biased compared with DVR and this bias requires further study in a larger dataset in order to understand its consequences.",
author = "Golla, {Sandeep S. V.} and Wolters, {Emma E.} and Tessa Timmers and Rik Ossenkoppele and {van der Weijden}, {Chris W. J.} and Philip Scheltens and Lothar Schwarte and Mintun, {Mark A.} and {Devous Sr}, {Michael D.} and Schuit, {Robert C.} and Windhorst, {Albert D.} and Lammertsma, {Adriaan A.} and Maqsood Yaqub and {van Berckel}, {Bart N. M.} and Ronald Boellaard",
year = "2018",
doi = "10.1177/0271678X18820765",
language = "English",
journal = "Journal of Cerebral Blood Flow and Metabolism",
issn = "0271-678X",
publisher = "Nature Publishing Group",

}

TY - JOUR

T1 - Parametric methods for [18F]flortaucipir PET

AU - Golla, Sandeep S. V.

AU - Wolters, Emma E.

AU - Timmers, Tessa

AU - Ossenkoppele, Rik

AU - van der Weijden, Chris W. J.

AU - Scheltens, Philip

AU - Schwarte, Lothar

AU - Mintun, Mark A.

AU - Devous Sr, Michael D.

AU - Schuit, Robert C.

AU - Windhorst, Albert D.

AU - Lammertsma, Adriaan A.

AU - Yaqub, Maqsood

AU - van Berckel, Bart N. M.

AU - Boellaard, Ronald

PY - 2018

Y1 - 2018

N2 - [18F]Flortaucipir is a PET tau tracer used to visualize tau binding in Alzheimer’s disease (AD) in vivo. The present study evaluated the performance of several methods to obtain parametric images of [18F]flortaucipir. One hundred and thirty minutes dynamic PET scans were performed in 10 AD patients and 10 controls. Parametric images were generated using different linearization and basis function approaches. Regional binding potential (BPND) and volume of distribution (VT) values obtained from the parametric images were compared with corresponding values derived using the reversible two-tissue compartment model (2T4k_VB). Performance of SUVr parametric images was assessed by comparing values with distribution volume ratio (DVR) and SRTM-derived BPND estimates obtained using non-linear regression (NLR). Spectral analysis (SA) (r2= 0.92; slope = 0.99) derived VT correlated well with NLR-derived VT. RPM (r2= 0.95; slope = 0.98) derived BPND correlated well with NLR-derived DVR. Although SUVr80–100 min correlated well with NLR-derived DVR (r2= 0.91; slope = 1.09), bias in SUVr appeared to depend on uptake time and underlying level of specific binding. In conclusion, RPM and SA provide parametric images comparable to the NLR estimates. Individual SUVr values are biased compared with DVR and this bias requires further study in a larger dataset in order to understand its consequences.

AB - [18F]Flortaucipir is a PET tau tracer used to visualize tau binding in Alzheimer’s disease (AD) in vivo. The present study evaluated the performance of several methods to obtain parametric images of [18F]flortaucipir. One hundred and thirty minutes dynamic PET scans were performed in 10 AD patients and 10 controls. Parametric images were generated using different linearization and basis function approaches. Regional binding potential (BPND) and volume of distribution (VT) values obtained from the parametric images were compared with corresponding values derived using the reversible two-tissue compartment model (2T4k_VB). Performance of SUVr parametric images was assessed by comparing values with distribution volume ratio (DVR) and SRTM-derived BPND estimates obtained using non-linear regression (NLR). Spectral analysis (SA) (r2= 0.92; slope = 0.99) derived VT correlated well with NLR-derived VT. RPM (r2= 0.95; slope = 0.98) derived BPND correlated well with NLR-derived DVR. Although SUVr80–100 min correlated well with NLR-derived DVR (r2= 0.91; slope = 1.09), bias in SUVr appeared to depend on uptake time and underlying level of specific binding. In conclusion, RPM and SA provide parametric images comparable to the NLR estimates. Individual SUVr values are biased compared with DVR and this bias requires further study in a larger dataset in order to understand its consequences.

UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85060538764&origin=inward

UR - https://www.ncbi.nlm.nih.gov/pubmed/30569813

U2 - 10.1177/0271678X18820765

DO - 10.1177/0271678X18820765

M3 - Article

JO - Journal of Cerebral Blood Flow and Metabolism

JF - Journal of Cerebral Blood Flow and Metabolism

SN - 0271-678X

ER -