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Quantitative analysis of PiB-PET with FreeSurfer ROIs.
Su, Yi; D'Angelo, Gina M; Vlassenko, Andrei G; Zhou, Gongfu; Snyder, Abraham Z; Marcus, Daniel S; Blazey, Tyler M; Christensen, Jon J; Vora, Shivangi; Morris, John C; Mintun, Mark A; Benzinger, Tammie L S.
Afiliação
  • Su Y; Department of Radiology, Washington University School of Medicine, Saint Louis, Missouri, United States of America ; Knight Alzheimer's Disease Research Center, Washington University School of Medicine, Saint Louis, Missouri, United States of America.
PLoS One ; 8(11): e73377, 2013.
Article em En | MEDLINE | ID: mdl-24223109
In vivo quantification of ß-amyloid deposition using positron emission tomography is emerging as an important procedure for the early diagnosis of the Alzheimer's disease and is likely to play an important role in upcoming clinical trials of disease modifying agents. However, many groups use manually defined regions, which are non-standard across imaging centers. Analyses often are limited to a handful of regions because of the labor-intensive nature of manual region drawing. In this study, we developed an automatic image quantification protocol based on FreeSurfer, an automated whole brain segmentation tool, for quantitative analysis of amyloid images. Standard manual tracing and FreeSurfer-based analyses were performed in 77 participants including 67 cognitively normal individuals and 10 individuals with early Alzheimer's disease. The manual and FreeSurfer approaches yielded nearly identical estimates of amyloid burden (intraclass correlation = 0.98) as assessed by the mean cortical binding potential. An MRI test-retest study demonstrated excellent reliability of FreeSurfer based regional amyloid burden measurements. The FreeSurfer-based analysis also revealed that the majority of cerebral cortical regions accumulate amyloid in parallel, with slope of accumulation being the primary difference between regions.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Interpretação de Imagem Assistida por Computador / Compostos Radiofarmacêuticos / Benzotiazóis / Doença de Alzheimer Tipo de estudo: Evaluation_studies / Guideline / Observational_studies / Screening_studies Limite: Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2013 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Interpretação de Imagem Assistida por Computador / Compostos Radiofarmacêuticos / Benzotiazóis / Doença de Alzheimer Tipo de estudo: Evaluation_studies / Guideline / Observational_studies / Screening_studies Limite: Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2013 Tipo de documento: Article