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Non-invasive quantification of cerebral glucose metabolism using Gjedde-Patlak plot and image-derived input function from the aorta.
Henriksen, Alexander Cuculiza; Lonsdale, Markus Nowak; Fuglø, Dan; Kondziella, Daniel; Nersesjan, Vardan; Marner, Lisbeth.
Afiliación
  • Henriksen AC; Department of Clinical Physiology and Nuclear Medicine, Copenhagen University Hospital, Bispebjerg, Denmark.
  • Lonsdale MN; Department of Clinical Physiology and Nuclear Medicine, Copenhagen University Hospital, Bispebjerg, Denmark.
  • Fuglø D; Department of Nuclear Medicine, Copenhagen University Hospital, Herlev, Copenhagen, Denmark.
  • Kondziella D; Department of Neurology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.
  • Nersesjan V; Department of Neurology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.
  • Marner L; Department of Clinical Physiology and Nuclear Medicine, Copenhagen University Hospital, Bispebjerg, Denmark. Electronic address: Lisbeth.marner@regionh.dk.
Neuroimage ; 253: 119079, 2022 06.
Article en En | MEDLINE | ID: mdl-35276368
INTRODUCTION: We aimed at evaluating a Gjedde-Patlak plot and non-invasive image-derived input functions (IDIF) from the aorta to quantify cerebral glucose metabolic rate (CMRglc) in comparison to the reference standard based on sampling the arterial input function (AIF). METHOD: Six healthy subjects received 200 MBq [18F]FDG simultaneously with the initiation of a three-part dynamic PET recording consisting of a 15 min-recording of the aorta, a 40 min-recording of the brain and finally 2 min-recording of the aorta. Simultaneously, the arterial 18F concentration was measured via arterial cannulation. Regions of interest were drawn in the aorta and the brain and time-activity curves extracted. The IDIF was obtained by fitting a triple exponential function to the aorta time-activity curve after the initial peak including the late aorta frame, thereby interpolating the arterial blood activity concentration during the brain scan. CMRglc was calculated from Gjedde-Patlak plots using AIF and IDIF, respectively and the predictive value was examined. Results from frontal cortex, insula, hippocampus and cerebellum were compared by paired t-test and agreement between the methods was analyzed by Bland-Altman plot statistics. RESULTS: There was a strong linear relationship and an excellent agreement between the methods (mean±SD of CMRglcIDIF (µmol 100 g-1 min-1), mean difference, mean relative difference, 95% limits of agreement): frontal cortex: 30.8 ± 3.3, 0.5, 2.2%, [-1,6:2.5], insula: 25.4 ± 2.2, 0.4, 2.4%, [-1.4:2.2], hippocampus: 16.9 ± 1.2, 0.4, 3.8%, [-1.1:2.0] and cerebellum: 23.4 ± 1.9, 0.5, 3.1%, [-1.4:2.5]). CONCLUSION: We found excellent agreement between CMRglc obtained with an IDIF from the aorta and the reference standard with AIF. A non-invasive three-part dynamic [18F]FDG PET recording is feasible as a non-invasive alternative for reliable quantification of cerebral glucose metabolism in all scanner systems. This is useful in patients with presumed global cerebral changes owing to systemic disease or for the monitoring of treatment effects.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Fluorodesoxiglucosa F18 / Tomografía de Emisión de Positrones Límite: Humans Idioma: En Revista: Neuroimage Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2022 Tipo del documento: Article País de afiliación: Dinamarca

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Fluorodesoxiglucosa F18 / Tomografía de Emisión de Positrones Límite: Humans Idioma: En Revista: Neuroimage Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2022 Tipo del documento: Article País de afiliación: Dinamarca