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1.
Neuroimage ; 107: 55-64, 2015 Feb 15.
Artículo en Inglés | MEDLINE | ID: mdl-25485714

RESUMEN

Amyloid imaging is a valuable tool for research and diagnosis in dementing disorders. As positron emission tomography (PET) scanners have limited spatial resolution, measured signals are distorted by partial volume effects. Various techniques have been proposed for correcting partial volume effects, but there is no consensus as to whether these techniques are necessary in amyloid imaging, and, if so, how they should be implemented. We evaluated a two-component partial volume correction technique and a regional spread function technique using both simulated and human Pittsburgh compound B (PiB) PET imaging data. Both correction techniques compensated for partial volume effects and yielded improved detection of subtle changes in PiB retention. However, the regional spread function technique was more accurate in application to simulated data. Because PiB retention estimates depend on the correction technique, standardization is necessary to compare results across groups. Partial volume correction has sometimes been avoided because it increases the sensitivity to inaccuracy in image registration and segmentation. However, our results indicate that appropriate PVC may enhance our ability to detect changes in amyloid deposition.


Asunto(s)
Neuropatías Amiloides/diagnóstico por imagen , Amiloide/metabolismo , Algoritmos , Enfermedad de Alzheimer/diagnóstico por imagen , Compuestos de Anilina , Benzotiazoles , Corteza Cerebral/diagnóstico por imagen , Corteza Cerebral/patología , Estudios de Cohortes , Simulación por Computador , Estudios Transversales , Humanos , Individualidad , Estudios Longitudinales , Tomografía de Emisión de Positrones , Radiofármacos , Reproducibilidad de los Resultados , Tiazoles
2.
Proc Natl Acad Sci U S A ; 110(47): E4502-9, 2013 Nov 19.
Artículo en Inglés | MEDLINE | ID: mdl-24194552

RESUMEN

Major imaging biomarkers of Alzheimer's disease include amyloid deposition [imaged with [(11)C]Pittsburgh compound B (PiB) PET], altered glucose metabolism (imaged with [(18)F]fluro-deoxyglucose PET), and structural atrophy (imaged by MRI). Recently we published the initial subset of imaging findings for specific regions in a cohort of individuals with autosomal dominant Alzheimer's disease. We now extend this work to include a larger cohort, whole-brain analyses integrating all three imaging modalities, and longitudinal data to examine regional differences in imaging biomarker dynamics. The anatomical distribution of imaging biomarkers is described in relation to estimated years from symptom onset. Autosomal dominant Alzheimer's disease mutation carrier individuals have elevated PiB levels in nearly every cortical region 15 y before the estimated age of onset. Reduced cortical glucose metabolism and cortical thinning in the medial and lateral parietal lobe appeared 10 and 5 y, respectively, before estimated age of onset. Importantly, however, a divergent pattern was observed subcortically. All subcortical gray-matter regions exhibited elevated PiB uptake, but despite this, only the hippocampus showed reduced glucose metabolism. Similarly, atrophy was not observed in the caudate and pallidum despite marked amyloid accumulation. Finally, before hypometabolism, a hypermetabolic phase was identified for some cortical regions, including the precuneus and posterior cingulate. Additional analyses of individuals in which longitudinal data were available suggested that an accelerated appearance of volumetric declines approximately coincides with the onset of the symptomatic phase of the disease.


Asunto(s)
Enfermedad de Alzheimer/patología , Biomarcadores/metabolismo , Encéfalo/metabolismo , Encéfalo/patología , Adulto , Edad de Inicio , Enfermedad de Alzheimer/genética , Compuestos de Anilina/metabolismo , Radioisótopos de Carbono/metabolismo , Estudios de Cohortes , Femenino , Fluorodesoxiglucosa F18/metabolismo , Genes Dominantes/genética , Humanos , Imagen por Resonancia Magnética/métodos , Masculino , Persona de Mediana Edad , Modelos Biológicos , Tomografía de Emisión de Positrones/métodos , Análisis de Regresión , Tiazoles/metabolismo , Factores de Tiempo
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