Dementia With Lewy Bodies Clinical Trial
Official title:
FDG Metabolism in Dementia With Lewy Body (DLB) Patients as Indicated by PET Dynamic Acquisition
Dementia with Lewy Body (DLB) is a common neurodegenerative disorder responsible to 15%-20%
of the dementia cases in the elderly population.
Dementia with Lewy Body (DLB) is a common neurodegenerative disorder responsible to 15%-20%
of the dementia cases in the elderly population . This disorder belongs to the family of
synucleinopathies, which are diseases characterized by the abnormal accumulation of the
protein α-synuclein (α-syn) in neuronal and non-neuronal cells in the brain. The clinical
symptoms of DLB include dementia with the presence of fluctuations in attention or alertness,
recurrent visual hallucinations, spontaneous extrapyramidal motor features and REM sleep
behavior disorder (RBD). Supportive clinical symptoms are severe sensitivity to antipsychotic
agents, postural instability, repeated falls, syncope or other transient episodes of
unresponsiveness, severe autonomic dysfunction e.g. constipation, orthostatic hypotension,
urinary incontinence, hypersomnia, hyposmia, hallucinations in other modalities, systematized
delusions, apathy, anxiety and depression. DLB differs from PD by the order of appearance of
clinical symptoms.
The diagnosis of DLB requires in addition to the clinical symptoms the existence biomarkers
indicating the pathology. It is important to note that due to the complexity of DLB
diagnosis, mainly due to the similarity of this syndrome to other dementia conditions, more
than one biomarker is required to identify DLB [6]. The biomarkers contain indicative
biomarkers and supportive biomarkers. Indicative biomarkers include a. Assessment of the
integrity of dopaminergic system by either F-DOPA Positron Emission Tomography (PET) or by
Ioflupane 123I (DaT) Single Photon Emission Tomography (SPECT) scans. b. Abnormal (low
uptake) MIBG myocardial scintigraphy. c. Polysomnographic confirmation of REM sleep without
atonia.
Supportive biomarkers are: a. MRI/CT scans showing neuronal structural modifications with
relative preservation of medial temporal lobe structures. b. Generalized low uptake on
SPECT/PET perfusion/metabolism scan with reduced occipital activity +/- the cingulate island
sign on 18F-fludeoxyglucose (FDG) PET imaging. c. Prominent posterior slow wave activity on
EEG with periodic fluctuations in the pre-alpha/theta range.
Biochemical biomarkers from the blood and spinal fluid were also investigated. These
biomarkers include measurement of levels of Amyloid β, tau, and phospho-tau measurements.
However, they do not allow differentiation between DLB and AD. α-syn was not proven as a
biomarker.
The purpose of this research is to assess whether dynamic FDG-PET scans and quantitative
analysis of the these scans can give a more accurate and sensitive information regarding the
DLB brain glucose metabolism which in turn may give better insight about DLB mechanism and
allow better assessment of the disease.
Glucose metabolism in the brains of DLB patients is characterized by a pattern of bilateral
parietal and posterior temporal hypometabolism with specific occipital hypo metabolic
signature [9]. The use of FDG-PET scans allows the mapping of the topographic hypo metabolic
view of the brain in different stages of the DLB condition. These metabolic maps, in turn,
can be used both for diagnostic purposes as well as for research of the DLB mechanism [10]
[11]. FDG is also a modality assisting in the differentiation between AD, PD and DLB [12]. To
notice, the disadvantage of the FDG-PET scans is the lack of quantification. Visually
analysis of brain FDG metabolism without quantitative analysis is limiting its use as a
biomarker and the diagnostic accuracy and sensitivity of the scan. This is the main reason
why it is considered only a supportive biomarker [9].
In these study the investigators will investigate the utilization of dynamic FDG PET scans in
order to track in more close and precise way the path of the glucose metabolism in the brain.
In addition, the investigators would like to use the dynamic scans to perform quantification
of the FDG distribution in the brain in order to show the advantage of the quantification in
the diagnostic process.
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