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EJNMMI Research
Published in: EJNMMI Research 1/2020

01-12-2020 | Glioma | Original research

Use of static and dynamic [18F]-F-DOPA PET parameters for detecting patients with glioma recurrence or progression

Authors: Timothée Zaragori, Merwan Ginet, Pierre-Yves Marie, Véronique Roch, Rachel Grignon, Guillaume Gauchotte, Fabien Rech, Marie Blonski, Zohra Lamiral, Luc Taillandier, Laëtitia Imbert, Antoine Verger

Published in: EJNMMI Research | Issue 1/2020

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Abstract

Background

Static [18F]-F-DOPA PET images are currently used for identifying patients with glioma recurrence/progression after treatment, although the additional diagnostic value of dynamic parameters remains unknown in this setting. The aim of this study was to evaluate the performances of static and dynamic [18F]-F-DOPA PET parameters for detecting patients with glioma recurrence/progression as well as assess further relationships with patient outcome.

Methods

Fifty-one consecutive patients who underwent an [18F]-F-DOPA PET for a suspected glioma recurrence/progression at post-resection MRI, were retrospectively included. Static parameters, including mean and maximum tumor-to-normal-brain (TBR) ratios, tumor-to-striatum (TSR) ratios, and metabolic tumor volume (MTV), as well as dynamic parameters with time-to-peak (TTP) values and curve slope, were tested for predicting the following: (1) glioma recurrence/progression at 6 months after the PET exam and (2) survival on longer follow-up.

Results

All static parameters were significant predictors of glioma recurrence/progression (accuracy ≥ 94%) with all parameters also associated with mean progression-free survival (PFS) in the overall population (all p < 0.001, 29.7 vs. 0.4 months for TBRmax, TSRmax, and MTV). The curve slope was the sole dynamic PET predictor of glioma recurrence/progression (accuracy = 76.5%) and was also associated with mean PFS (p < 0.001, 18.0 vs. 0.4 months). However, no additional information was provided relative to static parameters in multivariate analysis.

Conclusion

Although patients with glioma recurrence/progression can be detected by both static and dynamic [18F]-F-DOPA PET parameters, most of this diagnostic information can be achieved by conventional static parameters.
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Metadata
Title
Use of static and dynamic [18F]-F-DOPA PET parameters for detecting patients with glioma recurrence or progression
Authors
Timothée Zaragori
Merwan Ginet
Pierre-Yves Marie
Véronique Roch
Rachel Grignon
Guillaume Gauchotte
Fabien Rech
Marie Blonski
Zohra Lamiral
Luc Taillandier
Laëtitia Imbert
Antoine Verger
Publication date
01-12-2020
Publisher
Springer Berlin Heidelberg
Published in
EJNMMI Research / Issue 1/2020
Electronic ISSN: 2191-219X
DOI
https://doi.org/10.1186/s13550-020-00645-x

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