ORCID: https://orcid.org/0009-0000-9116-4497; Dorneich, Julia S.; Zeinaki, Marianthi; Vogler, Letizia; Sanzo, Laura; Gnörich, Johannes S.
ORCID: https://orcid.org/0000-0003-1554-7765; Katzdobler, Sabrina
ORCID: https://orcid.org/0000-0002-3512-5984; Masouris, Ilias
ORCID: https://orcid.org/0000-0002-6926-0527; Jäck, Alexander; Bernhardt, Alexander M.
ORCID: https://orcid.org/0000-0002-2572-5062; Rauchmann, Boris-Stephan
ORCID: https://orcid.org/0000-0003-4547-6240; Stoecklein, Sophia
ORCID: https://orcid.org/0000-0003-0325-4674; Simmet, Marcel; Joseph, Emanuel; Lindner, Simon
ORCID: https://orcid.org/0009-0007-4379-4436; Koglin, Norman; Mueller, Andre; Stephens, Andrew W.; Bischof, Gérard N.; Frontzkowski, Lukas Karl; Franzmeier, Nicolai
ORCID: https://orcid.org/0000-0001-9736-2283; Werner, Rudolf A.; Gernert, Jonathan A.
ORCID: https://orcid.org/0000-0002-6655-5557; Hopfner, Franziska
ORCID: https://orcid.org/0000-0001-6524-0281; Höglinger, Günter U.
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ORCID: https://orcid.org/0000-0003-4898-9383; Thaler, Franziska S.
ORCID: https://orcid.org/0000-0001-6548-0410; Levin, Johannes
ORCID: https://orcid.org/0000-0001-5092-4306 und Brendel, Matthias
ORCID: https://orcid.org/0000-0002-9247-2843
(2026):
Feasibility of short imaging protocols for [18F]fluordeprenyl-D2 PET in autoimmune encephalitis and multiple system atrophy.
In: European Journal of Nuclear Medicine and Molecular Imaging [Forthcoming]
Abstract
Introduction: [18F]fluorodeprenyl-D2 ([18F]F-DED) positron emission tomography (PET) imaging detects reactive astrogliosis in patients with autoimmune encephalitis (AIE) and multiple system atrophy (MSA). Although dynamic 60-min acquisitions are established, shorter static imaging protocols are desirable for severely impaired patients. This study investigated the feasibility of short static time windows for [18F]F-DED PET imaging in AIE and MSA.
Methods: Dynamic 60-min [18F]F-DED PET scans were analyzed in 20 patients with AIE, 20 patients with MSA (MSA-P/MSA-C), and 16 controls (CTRL). Disease-related lesions were manually segmented based on visually detectable positive PET-signal in AIE and MSA predilection sites (i.e. mesial temporal lobe, posterior putamen, cerebellar deep white matter), and standardized uptake value ratios (SUVr; cerebellar cortex as a reference tissue) were calculated for consecutive 10-min intervals. Advanced kinetic parameters (DVR, VTr) were derived using Logan plot and a one-tissue compartment model (1TC2k) with image-derived input functions, both applying the cerebellar cortex as a reference tissue.
Results: Static images acquired between 10 and 60 min p.i. showed good image contrast and signal-to-noise ratio. SUVr of lesions increased over time and approached a plateau at approximately 50–60 min p.i.. The strongest agreement between SUVr and DVR was observed between 30 and 50 min p.i.. Late-phase SUVr outperformed kinetic parameters in discriminating lesions from healthy tissue in both AIE and MSA.
Conclusion: Short static [18F⁸ ]F-DED PET acquisitions are clinically robust for detecting neuroinflammation in AIE and MSA. A late static acquisition between 30–50 min p.i. provides the optimal balance between accuracy and scanning efficiency.
| Item Type: | Journal article |
|---|---|
| Faculties: | Medicine > Biomedical Center Medicine > Institute for Immunology Medicine > Munich Cluster for Systems Neurology (SyNergy) Medicine > Institute for Stroke and Dementia Research (ISD) Medicine > Institute for Diagnostic and Interventional Neuroradiology Medicine > Medical Center of the University of Munich > Neurological Clinic and Polyclinic with Friedrich Baur Institute Medicine > Medical Center of the University of Munich > Clinic and Polyclinic for Nuclear Medicine Medicine > Medical Center of the University of Munich > Clinic and Polyclinic for Psychiatry and Psychotherapy Medicine > Medical Center of the University of Munich > Clinic and Polyclinic for Radiology |
| Subjects: | 600 Technology > 610 Medicine and health |
| ISSN: | 1619-7070 |
| Language: | English |
| Item ID: | 136743 |
| Date Deposited: | 06. Jul 2026 11:54 |
| Last Modified: | 06. Jul 2026 11:54 |
| DFG: | Gefördert durch die Deutsche Forschungsgemeinschaft (DFG) - 390857198 |
