Publication year
2002Source
Movement Disorders, 17, 3, (2002), pp. 518-23ISSN
Publication type
Article / Letter to editor

Display more detailsDisplay less details
Organization
Neurology
Journal title
Movement Disorders
Volume
vol. 17
Issue
iss. 3
Page start
p. 518
Page end
p. 23
Subject
Pathophysiology of Brain and Behaviour; Pathofysiologie van Hersenen en GedragAbstract
We investigated whether [(123)I]-beta-CIT and single-photon emission computed tomography (SPECT) imaging distinguishes patients with clinically suspected vascular parkinsonism (VP) from patients with idiopathic Parkinson's disease (PD). [(123)I]beta-CIT SPECT is a sensitive marker of dopaminergic degeneration, and the degree of striatal binding reduction in PD correlates with disease severity. Thirteen patients who fulfilled rigid clinical criteria for VP (mean +/- S.D.: age, 76.5 +/- 5.3 years; disease duration, 3.6 +/- 2.8 years), 20 PD patients (age, 66.2 +/- 9.5 years; disease duration, 4.3 +/- 2.7 years), and 30 healthy persons (age, 44.6 +/- 19.2 years) underwent [(123)I]beta-CIT SPECT imaging. Age-corrected striatal beta-CIT binding was reduced on average by 40.8% in PD but was near normal in the VP group (mean reduction, 1.2%). This difference was statistically significant (Z = 4.68; P < 0.001). The left-right asymmetry of striatal beta-CIT binding was significantly increased in the PD group compared with normal controls and the VP group (F(2) = 17.4, P <0.001). Moreover, putamen-caudate nucleus ratios were significantly reduced in PD compared with both VP patients and healthy controls (F(2) = 65.5, P < 0.001). Whole striatal beta-CIT binding was more than one standard deviation above the mean PD values in all but one of the individual VP patients. Our findings suggest that the presynaptic dopaminergic deficits seen in PD are absent in most patients with VP. [(123)I]beta-CIT SPECT imaging may be useful to help distinguish between PD and VP patients during life.
This item appears in the following Collection(s)
- Academic publications [234237]
- Faculty of Medical Sciences [89178]
Upload full text
Use your RU credentials (u/z-number and password) to log in with SURFconext to upload a file for processing by the repository team.