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A kinetics-based approach to amyloid PET semi-quantification

Authors :
Flavio Nobili
Matteo Pardini
Dario Arnaldi
Valentina Garibotto
Ugo Paolo Guerra
Matteo Bauckneht
D. D’Ambrosio
Enrico Peira
Giordano Savelli
A. Stefanelli
M. Corosu
C Vellani
Andrea Chincarini
S. Morbelli
Frédéric Assal
Selene Capitanio
Barbara Paghera
Source :
European Journal of Nuclear Medicine and Molecular Imaging, Vol. 47, No 9 (2020) pp. 2175-2185
Publication Year :
2020

Abstract

To develop and validate a semi-quantification method (time-delayed ratio, TDr) applied to amyloid PET scans, based on tracer kinetics information. The TDr method requires two static scans per subject: one early (~ 0–10 min after the injection) and one late (typically 50–70 min or 90–100 min after the injection, depending on the tracer). High perfusion regions are delineated on the early scan and applied onto the late scan. A SUVr-like ratio is calculated between the average intensities in the high perfusion regions and the late scan hotspot. TDr was applied to a naturalistic multicenter dataset of 143 subjects acquired with [18F]florbetapir. TDr values are compared to visual evaluation, cortical–cerebellar SUVr, and to the geometrical semi-quantification method ELBA. All three methods are gauged versus the heterogeneity of the dataset. TDr shows excellent agreement with respect to the binary visual assessment (AUC = 0.99) and significantly correlates with both validated semi-quantification methods, reaching a Pearson correlation coefficient of 0.86 with respect to ELBA. TDr is an alternative approach to previously validated ones (SUVr and ELBA). It requires minimal image processing; it is independent on predefined regions of interest and does not require MR registration. Besides, it takes advantage on the availability of early scans which are becoming common practice while imposing a negligible added patient discomfort.

Details

Language :
English
ISSN :
16197070
Database :
OpenAIRE
Journal :
European Journal of Nuclear Medicine and Molecular Imaging, Vol. 47, No 9 (2020) pp. 2175-2185
Accession number :
edsair.doi.dedup.....c31a084957c8725de8d7f8a868bb7455