Catalogo Articoli (Spogli Riviste)

OPAC HELP

Titolo:
Effects of statistical noise on graphic analysis of PET neuroreceptor studies
Autore:
Slifstein, M; Laruelle, M;
Indirizzi:
New York State Psychiat Inst, Dept Neurosci, Div Brain Imaging, New York, NY 10032 USA New York State Psychiat Inst New York NY USA 10032 New York, NY 10032 USA Columbia Univ Coll Phys & Surg, Dept Psychiat, New York, NY 10032 USA Columbia Univ Coll Phys & Surg New York NY USA 10032 w York, NY 10032 USA Columbia Univ Coll Phys & Surg, Dept Radiol, New York, NY 10032 USA Columbia Univ Coll Phys & Surg New York NY USA 10032 w York, NY 10032 USA
Titolo Testata:
JOURNAL OF NUCLEAR MEDICINE
fascicolo: 12, volume: 41, anno: 2000,
pagine: 2083 - 2088
SICI:
0161-5505(200012)41:12<2083:EOSNOG>2.0.ZU;2-5
Fonte:
ISI
Lingua:
ENG
Soggetto:
BINDING; RADIOLIGAND; BRAIN;
Keywords:
PET; kinetic modeling; graphic analysis; noise;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Clinical Medicine
Life Sciences
Citazioni:
13
Recensione:
Indirizzi per estratti:
Indirizzo: Slifstein, M New York State Psychiat Inst, Dept Neurosci, Div Brain Imaging, 1051 Riverside Dr,Unit 31, New York, NY 10032 USA New York State Psychiat Inst 1051 Riverside Dr,Unit 31 New York NY USA 10032
Citazione:
M. Slifstein e M. Laruelle, "Effects of statistical noise on graphic analysis of PET neuroreceptor studies", J NUCL MED, 41(12), 2000, pp. 2083-2088

Abstract

Because of its computational simplicity, the graphic method introduced by Logan et al. is frequently used to analyze time-activity curves of reversible radiotracers measured in brain regions with PET. The graphic method usesa nonlinear transformation of data to variables that have an asymptotically linear relationship. Compared with compartmental analysis of untransformed data, the graphic method enables derivation of regional distribution volumes that are free from assumptions about the underlying compartmental configuration. In this article, we describe statistical bias associated with this nonlinear transformation method. Methods: Theoretic analysis, Monte Carlosimulation, and statistical analysis of PET data were used to test the graphic method for bias. Results: Mean zero noise is associated with underestimation of distribution volumes when data are analyzed with graphic analysis, whereas this effect does not occur when the same data are analyzed by nonlinear regression and compartmental analysis. Moreover, this effect dependson the magnitude of the distribution volume, so that the bias is more pronounced in regions with high receptor density than regions with low receptordensity or no receptors (region of reference). Conclusion: These results indicate that conventional kinetic analysis of untransformed data is less sensitive to mean zero noise than is graphic analysis of nonlinearly transformed data.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 27/01/20 alle ore 16:50:05