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001-es BibID:	BIBFORM046039
Első szerző:	Kerényi Levente
Cím:	Positron Emission Tomography of Striatal Serotonin Transporters in Parkinson Disease / Kerenyi Levente, George A. Ricaurte, David J. Schretlen, Una McCann, Jozsef Varga, William B. Mathews, Hayden T. Ravert, Robert F. Dannals, John Hilton, Dean F. Wong, Zsolt Szabo
Dátum:	2003
ISSN:	0003-9942
Megjegyzések:	Background: Little is known about serotonin neurons in Parkinson disease (PD). Objective: To study the serotonin system in PD with positron emission tomography, using the serotonin transporter radioligand [C-11](+)McN5652. Design and Patients: We measured the density of the serotonin transporter and the density of [C-11]WIN35 428-labeled dopamine transporters in the striatum of 13 adults with PD and 13 age- and sex-matched controls. To assess the effects of possible differences in blood flow or brain atrophy, we also measured regional cerebral blood flow and the size of the regions of interest for the caudate nucleus and putamen. Results: Patients with PD showed reductions in the specific distribution volumes of [C-11] (+)McN5652 in the caudate (P<.01) and putamen (P<.01), along with the expected reductions in striatal [C-11]WIN35428 binding (P<.01). There were no reductions in regional cerebral blood flow or the sizes of the regions of interest, mitigating against potential confounding effects of blood flow, brain atrophy, or partial volume effects. Reductions in serotonin transporter binding correlated with ratings of disease staging. Conclusions: These results suggest that the density of serotonin transporters, like that of dopamine transporters, is reduced in the striatum of patients with PD and that these changes are related to disease stage.
Tárgyszavak:	Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
Megjelenés:	Archives Of Neurology. - 60 : 9 (2003), p. 1223-1229. -
További szerzők:	Ricaurte, George A. Schretlen, David J. McCann, Una Varga József (1955-) (fizikus) Mathews, William B. Ravert, Hayden T. Dannals, Robert F. Hilton, John Wong, Dean F. Szabó Zsolt (radiológus)
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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001-es BibID:	BIBFORM019270
Első szerző:	Szabó Zsolt (radiológus)
Cím:	Positron emission tomography imaging of the serotonin transporter in subjects with a history of alcoholism / Zsolt Szabo, Taofeek Owonikoko, Mark Peyrot, Jozsef Varga, William B. Mathews, Hayden T. Ravert, Robert F. Dannals, Gary Wand
Dátum:	2004
ISSN:	0006-3223
Megjegyzések:	Our purpose was to investigate the serotonin transporter (SERT) in various brain regions of alcoholics using positron emission tomography and C-11 McN5652. METHOD: Thirty-two adult subjects were involved, 17 social drinkers as control subjects and 15 subjects who were abstinent or recovering alcoholics. Concomitant psychiatric diseases were ruled out based on DSM-IV criteria. The majority of subjects were men. Radioligand binding in 11 brain areas was expressed as the total distribution volume (DV), distribution volume of specific binding (DV(spec)), and distribution volume ratio (DVR). The cerebellum was used as reference tissue for calculation of DV(spec) and DVR. RESULTS: In subjects with a history of alcoholism, DV was lower in all brain regions, with significant differences in the midbrain, thalamus, amygdala, pons, cingulate gyrus, frontal cortex, and cerebellum. Additionally, DV(spec) was lower in all brain regions, but differences were only significant in the midbrain; DVR was lower in nine regions but the differences did not reach statistical significance. CONCLUSIONS: These studies demonstrate lower binding of [(11)C](+)McN5652 to the SERT in the brain of abstinent or recovering alcoholics compared with control subjects. Differences in the radioligand distribution volumes are more significant before than after correction for nonspecific binding of the radioligand.
Tárgyszavak:	Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban külföldön készült közlemény
Megjelenés:	Biological Psychiatry. - 55 : 7 (2004), p. 766-771. -
További szerzők:	Owonikoko, Taofeek Peyrot, Mark Mathews, William B. Ravert, Hayden T. Dannals, Robert F. Wand, Gary Varga József (1955-) (fizikus)
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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001-es BibID:	BIBFORM034877
Első szerző:	Varga József (fizikus)
Cím:	Modified regression model for the Logan plot / Varga J., Szabó Z.
Dátum:	2002
Megjegyzések:	Logan's graphical model is a robust estimation of the total distribution volume (DVt) of reversibly bound radiopharmaceuticals, but the resulting DVt values decrease with increasing noise. The authors hypothesized that the noise dependence can be reduced by a linear regression model that minimizes the sum of squared perpendicular rather than vertical (y) distances between the data points and fitted straight line. To test the new method, 15 levels of simulated noise (repeated 2,000 times) were added to synthetic tissue activity curves, calculated from two different sets of kinetic parameters. Contrary to the traditional method, there was no ( P > 0.05) or dramatically decreased noise dependence with the perpendicular model. Real dynamic 11C (+) McN5652 serotonin transporter binding data were processed either by applying Logan analysis to average counts of large areas or by averaging the Logan slopes of individual-voxel data. There were no significant differences between the parameters when the perpendicular regression method was used with both approaches. The presented experiments show that the DVt calculated from the Logan plot is much less noise dependent if the linear regression model accounts for errors in both the x and y variables, allowing fast creation of unbiased parametric images from dynamic positron-emission tomography studies.
Tárgyszavak:	Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
Megjelenés:	Journal of Cerebral Blood Flow and Metabolism. - 22 : 2 (2002), p. 240-244. -
További szerzők:	Szabó Zsolt (radiológus)
Internet cím:	Intézményi repozitóriumban (DEA) tárolt változat DOI
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