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  Reference cluster normalization improves detection of frontotemporal lobar degeneration by means of FDG-PET

Dukart, J., Perneczky, R., Förster, S., Barthel, H., Diehl-Schmid, J., Draganski, B., et al. (2013). Reference cluster normalization improves detection of frontotemporal lobar degeneration by means of FDG-PET. PLoS One, 8(2): e55415. doi:10.1371/journal.pone.0055415.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-000E-F0E2-D Version Permalink: http://hdl.handle.net/21.11116/0000-0003-AD06-4
Genre: Journal Article

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Dukart, Jürgen1, 2, Author              
Perneczky, Robert3, 4, 5, Author
Förster, Stefan6, Author
Barthel, Henryk7, 8, Author
Diehl-Schmid, Janine3, 4, Author
Draganski, Bogdan2, 9, Author
Obrig, Hellmuth1, 10, Author              
Santarnecchi, Emiliano11, Author
Drzezga, Alexander6, Author
Fellgiebel, Andreas12, Author
Frackowiak, Richard2, Author
Kurz, Alexander3, 4, Author
Mueller, Karsten13, Author              
Sabri, Osama7, 8, Author
Schroeter, Matthias L.1, 3, 7, 10, Author              
Yakushev, Igor6, 12, Author
Affiliations:
1Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              
2Laboratoire de Recherche en Neuroimagerie (LREN), Centre hospitalier universitaire vaudois, Lausanne, Switzerland, ou_persistent22              
3Consortium for Frontotemporal Lobar Degeneration, Germany, ou_persistent22              
4Department of Psychiatry and Psychotherapy, TU Munich, Germany, ou_persistent22              
5Neuroepidemiology and Ageing Research Unit, School of Public Health, Imperial College London, United Kingdom, ou_persistent22              
6Department of Nuclear Medicine, TU Munich, Germany, ou_persistent22              
7Leipzig Research Center for Civilization Diseases (LIFE), University of Leipzig, Germany, ou_persistent22              
8Department of Nuclear Medicine, University of Leipzig, Germany, ou_persistent22              
9Berlin School of Mind and Brain, Humboldt University Berlin, Germany, ou_persistent22              
10Clinic for Cognitive Neurology, University of Leipzig, Germany, ou_persistent22              
11Department of Neurological, Neurosurgical and Behavioral Sciences, University of Siena, Italy, ou_persistent22              
12University Medical Center Mainz, Germany, ou_persistent22              
13Methods and Development Unit Nuclear Magnetic Resonance, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634558              

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 Abstract: Positron emission tomography with [18F] fluorodeoxyglucose (FDG-PET) plays a well-established role in assisting early detection of frontotemporal lobar degeneration (FTLD). Here, we examined the impact of intensity normalization to different reference areas on accuracy of FDG-PET to discriminate between patients with mild FTLD and healthy elderly subjects. FDG-PET was conducted at two centers using different acquisition protocols: 41 FTLD patients and 42 controls were studied at center 1, 11 FTLD patients and 13 controls were studied at center 2. All PET images were intensity normalized to the cerebellum, primary sensorimotor cortex (SMC), cerebral global mean (CGM), and a reference cluster with most preserved FDG uptake in the aforementioned patients group of center 1. Metabolic deficits in the patient group at center 1 appeared 1.5, 3.6, and 4.6 times greater in spatial extent, when tracer uptake was normalized to the reference cluster rather than to the cerebellum, SMC, and CGM, respectively. Logistic regression analyses based on normalized values from FTLD-typical regions showed that at center 1, cerebellar, SMC, CGM, and cluster normalizations differentiated patients from controls with accuracies of 86%, 76%, 75% and 90%, respectively. A similar order of effects was found at center 2. Cluster normalization leads to a significant increase of statistical power in detecting early FTLD-associated metabolic deficits. The established FTLD-specific cluster can be used to improve detection of FTLD on a single case basis at independent centers – a decisive step towards early diagnosis and prediction of FTLD syndromes enabling specific therapies in the future.

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Language(s): eng - English
 Dates: 2012-09-052012-12-222013-02-15
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1371/journal.pone.0055415
PMID: 23451025
PMC: PMC3581522
Other: Epub 2013
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Title: PLoS One
Source Genre: Journal
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Pages: - Volume / Issue: 8 (2) Sequence Number: e55415 Start / End Page: - Identifier: ISSN: 1932-6203
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000277850