Literature DB >> 25593112

Use of 11C-PE2I PET in differential diagnosis of parkinsonian disorders.

Lieuwe Appel1, My Jonasson2, Torsten Danfors3, Dag Nyholm4, Håkan Askmark4, Mark Lubberink2, Jens Sörensen3.   

Abstract

UNLABELLED: In idiopathic Parkinson disease and atypical parkinsonian disorders, central dopaminergic and overall brain functional activity are altered to different degrees, causing difficulties in achieving an unambiguous clinical diagnosis. A dual examination using (123)I-FP-CIT ((123)I-N-ω-fluoropropyl-2β-carbomethoxy-3β-(4-iodophenyl)nortropane, or (123)I-ioflupane) SPECT and(18)F-FDG PET provides complementary information on dopamine transporter (DAT) availability and overall brain functional activity, respectively. Parametric images based on a single, dynamic (11)C-PE2I (N-(3-iodoprop-2E-enyl)-2β-carbomethoxy-3β-(4-methyl-phenyl)nortropane) scan potentially supply both DAT availability (nondisplaceable binding potential [BPND]) and relative cerebral blood flow (relative delivery [R1]) at voxel level. This study aimed to evaluate the validity of (11)C-PE2I PET against the dual-modality approach using (123)I-FP-CIT SPECT and (18)F-FDG PET.
METHODS: Sixteen patients with parkinsonian disorders had a dual examination with (18)F-FDG PET and (123)I-FP-CIT SPECT following clinical routines and additionally an experimental (11)C-PE2I PET scan. Parametric BPND and R1 images were generated using receptor parametric mapping with the cerebellum as a reference. T1-weighted MR imaging was used for automated definition of volumes of interest (VOI). The DAT VOIs included the basal ganglia, whereas the overall brain functional activity was examined using VOIs across the brain. BPND and R1 values were compared with normalized (123)I-FP-CIT and (18)F-FDG uptake values, respectively, using Pearson correlations and regression analyses. In addition, 2 masked interpreters evaluated the images visually, in both the routine and the experimental datasets, for comparison of patient diagnoses.
RESULTS: Parametric (11)C-PE2I BPND and R1 images showed high consistency with (123)I-FP-CIT SPECT and (18)F-FDG PET images. Correlations between (11)C-PE2I BPND and (123)I-FP-CIT uptake ratios were 0.97 and 0.76 in the putamen and caudate nucleus, respectively. Regional (11)C-PE2I R1 values were moderately to highly correlated with normalized (18)F-FDG values (range, 0.61-0.94). Visual assessment of DAT availability showed a high consistency between (11)C-PE2I BPND and (123)I-FP-CIT images, whereas the consistency was somewhat lower for appraisal of overall brain functional activity using (123)I-FP-CIT and (18)F-FDG images. Substantial differences were found between clinical diagnosis and both neuroimaging diagnoses.
CONCLUSION: A single, dynamic (11)C-PE2I PET investigation is a powerful alternative to a dual examination with (123)I-FP-CIT SPECT and (18)F-FDG PET for differential diagnosis of parkinsonian disorders. A large-scale patient study is, however, needed to further investigate distinct pathologic patterns in overall brain functional activity for various parkinsonian disorders.
© 2015 by the Society of Nuclear Medicine and Molecular Imaging, Inc.

Entities:  

Keywords:  DAT; PET; SPECT; dopamine transporter; overall brain functional activity; parkinsonism

Mesh:

Substances:

Year:  2015        PMID: 25593112     DOI: 10.2967/jnumed.114.148619

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  14 in total

1.  Validation of Parametric Methods for [11C]UCB-J PET Imaging Using Subcortical White Matter as Reference Tissue.

Authors:  Nathalie Mertens; Ralph Paul Maguire; Kim Serdons; Brigitte Lacroix; Joel Mercier; David Sciberras; Koen Van Laere; Michel Koole
Journal:  Mol Imaging Biol       Date:  2020-04       Impact factor: 3.488

2.  Development of a clinically feasible [11C]PE2I PET method for differential diagnosis of parkinsonism using reduced scan duration and automated reference region extraction.

Authors:  My Jonasson; Lieuwe Appel; Torsten Danfors; Dag Nyholm; Håkan Askmark; Andreas Frick; Jonas Engman; Tomas Furmark; Jens Sörensen; Mark Lubberink
Journal:  Am J Nucl Med Mol Imaging       Date:  2017-12-20

Review 3.  The role of neuroimaging in Parkinson's disease.

Authors:  Natasha S R Bidesi; Ida Vang Andersen; Albert D Windhorst; Vladimir Shalgunov; Matthias M Herth
Journal:  J Neurochem       Date:  2021-10-03       Impact factor: 5.546

4.  NRM 2021 Abstract Booklet.

Authors: 
Journal:  J Cereb Blood Flow Metab       Date:  2021-12       Impact factor: 6.960

Review 5.  Neuroimaging of Parkinson's disease: Expanding views.

Authors:  Carol P Weingarten; Mark H Sundman; Patrick Hickey; Nan-kuei Chen
Journal:  Neurosci Biobehav Rev       Date:  2015-09-26       Impact factor: 8.989

6.  Dynamic 18F-FPCIT PET: Quantification of Parkinson's disease metabolic networks and nigrostriatal dopaminergic dysfunction in a single imaging session.

Authors:  Shichun Peng; Chris Tang; Katharina Schindlbeck; Yaacov Rydzinski; Vijay Dhawan; Phoebe G Spetsieris; Yilong Ma; David Eidelberg
Journal:  J Nucl Med       Date:  2021-03-19       Impact factor: 11.082

7.  Prefrontal Markers and Cognitive Performance Are Dissociated during Progressive Dopamine Lesion.

Authors:  Charles R E Wilson; Julien Vezoli; Frederic M Stoll; Maïlys C M Faraut; Vincent Leviel; Kenneth Knoblauch; Emmanuel Procyk
Journal:  PLoS Biol       Date:  2016-11-08       Impact factor: 8.029

Review 8.  Optimizing Parkinson's disease diagnosis: the role of a dual nuclear imaging algorithm.

Authors:  J William Langston; Jesse C Wiley; Michele Tagliati
Journal:  NPJ Parkinsons Dis       Date:  2018-02-23

9.  Expression and co-expression of serotonin and dopamine transporters in social anxiety disorder: a multitracer positron emission tomography study.

Authors:  Olof R Hjorth; Andreas Frick; Malin Gingnell; Johanna M Hoppe; Vanda Faria; Sara Hultberg; Iman Alaie; Kristoffer N T Månsson; Kurt Wahlstedt; My Jonasson; Mark Lubberink; Gunnar Antoni; Mats Fredrikson; Tomas Furmark
Journal:  Mol Psychiatry       Date:  2019-12-10       Impact factor: 15.992

10.  Patterns of grey matter loss associated with motor subscores in early Parkinson's disease.

Authors:  Xingfeng Li; Yue Xing; Antonio Martin-Bastida; Paola Piccini; Dorothee P Auer
Journal:  Neuroimage Clin       Date:  2017-11-10       Impact factor: 4.881

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