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Quantification Methods Comparison in Brain 18 F-FDOPA PET

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dc.contributor.author Arena, Julieta E.
dc.contributor.author Urrutia, Leandro
dc.contributor.author Falasco, Germán
dc.contributor.author Ponce de León, Magdalena
dc.contributor.author Vázquez, Silvia
dc.date.accessioned 2020-02-05T13:06:28Z
dc.date.available 2020-02-05T13:06:28Z
dc.date.issued 2019-12-15
dc.identifier.citation Arena JE, Urrutia L, Falasco G, Ponce de León M, Vazquez S. Quantification methods comparison in brain 18F-FDOPA PET. Am J Nucl Med Mol Imaging. 2019 Dec 15;9(6):274-281. en_US
dc.identifier.uri https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6971484/
dc.identifier.uri https://repositorio.fleni.org.ar/handle/123456789/174
dc.description.abstract 18F-FDOPA PET is one of the most widely used molecular imaging techniques to assess presynaptic dopaminergic activity. A variety of analytical methods have been developed to quantify 18F-FDOPA PET images and in most, the striatal-to-occipital ratio (SOR) is used as a quantitative parameter. A manual strategy is typically used for quantification purposes, which can have some caveats, being time-consuming and having some inter-rater variability. In the present study we aimed to test whether automated quantification methods can provide an efficient alternative to manual quantification to overcome its limitations and compare each method's capacity to discriminate between normal and abnormal subjects. 18F-FDOPA PET images of 60 subjects were analyzed and quantified with one manual and two automated methods. SUVRs were obtained for caudate and putamen nucleus in both cases. We were able to reach the same level of discrimination with manual and automated strategies, and a threshold for normal/abnormal discrimination could be obtained. We believe automated strategies for VOI quantification can help molecular imaging physicians in the process of interpretation of studies, making the process faster, yet reliable and objective. en_US
dc.language.iso eng en_US
dc.publisher e-Century Pub en_US
dc.rights info:eu-repo/semantics/openAccess
dc.rights.uri https://creativecommons.org/licenses/by/2.5/ar/
dc.subject Fluorodopa F 18 en_US
dc.subject Parkinson Disease en_US
dc.subject Enfermedad de Parkinson en_US
dc.title Quantification Methods Comparison in Brain 18 F-FDOPA PET en_US
dc.type info:eu-repo/semantics/publishedVersion
dc.type info:eu-repo/semantics/article en_US
dc.description.fil Fil: Arena, Julieta. Fleni. Departamento de Neurología. Servicio de Movimientos Anormales; Argentina.
dc.description.fil Fil: Urrutia, Leandro. Fleni. Departamento de Diagnóstico por Imágenes. Centro de Imágenes Moleculares; Argentina.
dc.description.fil Fil: Falasco, Germán. Fleni. Departamento de Diagnóstico por Imágenes. Centro de Imágenes Moleculares; Argentina.
dc.description.fil Fil: Ponce de Leon, Magdalena. Fleni. Departamento de Diagnóstico por Imágenes. Centro de Imágenes Moleculares; Argentina.
dc.description.fil Fil: Vázquez, Silvia. Fleni. Departamento de Diagnóstico por Imágenes. Centro de Imágenes Moleculares; Argentina.
dc.relation.ispartofVOLUME 9
dc.relation.ispartofNUMBER 6
dc.relation.ispartofPAGINATION 274-281
dc.relation.ispartofCOUNTRY Estados Unidos
dc.relation.ispartofCITY Madison
dc.relation.ispartofISSN 2160-8407
dc.type.snrd info:ar-repo/semantics/artículo es_ES


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