Exploring Dopamine Transporter Single-photon Emission Computer Tomography Quantification as a Measure of Disease Progression in Idiopathic Parkinson's Disease
Exploring Dopamine Transporter Single-photon Emission Computer Tomography Quantification as a Measure of Disease Progression in Idiopathic Parkinson's Disease
DaTscanTM Ioflupane I123, a radiopharmaceutical will be used as an adjunct diagnostic tool in combination with single photon emission computed tomography (SPECT) to evaluate striatal dopamine transporter (DAT) distribution in patients with idiopathic Parkinson's disease. Patients will be monitored twice - once at baseline, and again after 1 year - to identify potential biomarkers for progression of Parkinson's disease.
Background: Idiopathic Parkinson's disease (PD) is a neurodegenerative disorder involving loss of dopaminergic neurons in the substantia nigra and subsequent dysfunction in the striatum. The diagnosis of PD remains a clinical diagnosis based on patient history and physical exam findings. In 2011 the FDA approved the use of DaTscanTM Ioflupane I123, a radiopharmaceutical to be used as an adjunct diagnostic tool in combination with single photon emission computed tomography (SPECT) to evaluate striatal dopamine transporter (DAT) distribution in patients with an unclear diagnosis of parkinsonism vs essential tremor (Bajaj et al., 2013). Because the loss of DAT binding in the striatum reflects the loss of dopaminergic neurons in parkinsonism, DAT SPECT is considered a highly sensitive test for these disorders (Ba and Martin, 2015). The major clinical uncertainty with DAT SPECT imaging is whether or not quantitative analysis can be utilized to determine progressive degeneration over time and serve as a quantitative biomarker for changes in striatal dopaminergic integrity in correlation with clinical worsening in patients with idiopathic PD. In 3 small studies using two other ligands, 18F-dopa and I123β-CIT, striatal uptake declined annually by 12.5-13%, and 2.4% - 7.1%, respectively (Morrish et al., 1996; Nurmi et al., 2000; Pirker et al., 2012). Current analytical methodologies have focused on establishing differences between the PD and control groups, but have not explored the technology for tracking disease progression with Ioflupane I123, using the patient as their own control. The goal of this proposed study is to evaluate the validity of quantitative measurements in DAT SPECT scans in determining disease progression in subjects with idiopathic PD. Data from this pilot study would contribute significantly to future applications for investigating translational research strategies to restore dopaminergic cell function in PD. More specifically, the ability of autologous peripheral nerve grafts, acting as a source of neuroregenerative growth factors, is being investigated in PD subjects undergoing deep brain stimulation (Craig van Horne, PI). As there are no current biomarkers for PD progression, it is critical to evaluate the potential for DAT SPECT to serve as an analytical tool for the quantification of dopaminergic functional integrity. This study is designed to test the ability of DAT SPECT to be used as an effective methodology for tracking disease progression where patients serve as their own control.
Objectives: The specific aim is to evaluate the ability of DAT SPECT quantification to track disease progression in subjects with idiopathic Parkinson's disease by comparing baseline scans to those obtained 12 months later. The quantified DAT SPECT data will be clinically correlated to the Movement Disorder Society Unified Parkinson's Disease Rating Scale (MDS-UPDRS) motor scores and Hoehn and Yahr stage obtained at baseline and at 12 months.
Study Design: This will be an initial phase of a prospective study evaluating DAT SPECT quantification in subjects with idiopathic Parkinson's disease. The clinical severity of PD will be measured by MDS-UPDRS motor scores and the Hoehn and Yahr scale. Data will be acquired at baseline, and 12 months. The subject will serve as their own control.
Inclusion Criteria:
Exclusion Criteria: