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Noninvasive quantification of cerebral metabolic rate for glucose in rats using (18)F-FDG PET and standard input function

Measurement of arterial input function (AIF) for quantitative positron emission tomography (PET) studies is technically challenging. The present study aimed to develop a method based on a standard arterial input function (SIF) to estimate input function without blood sampling. We performed (18)F-flu...

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Autores principales: Hori, Yuki, Ihara, Naoki, Teramoto, Noboru, Kunimi, Masako, Honda, Manabu, Kato, Koichi, Hanakawa, Takashi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4640305/
https://www.ncbi.nlm.nih.gov/pubmed/25966947
http://dx.doi.org/10.1038/jcbfm.2015.104
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author Hori, Yuki
Ihara, Naoki
Teramoto, Noboru
Kunimi, Masako
Honda, Manabu
Kato, Koichi
Hanakawa, Takashi
author_facet Hori, Yuki
Ihara, Naoki
Teramoto, Noboru
Kunimi, Masako
Honda, Manabu
Kato, Koichi
Hanakawa, Takashi
author_sort Hori, Yuki
collection PubMed
description Measurement of arterial input function (AIF) for quantitative positron emission tomography (PET) studies is technically challenging. The present study aimed to develop a method based on a standard arterial input function (SIF) to estimate input function without blood sampling. We performed (18)F-fluolodeoxyglucose studies accompanied by continuous blood sampling for measurement of AIF in 11 rats. Standard arterial input function was calculated by averaging AIFs from eight anesthetized rats, after normalization with body mass (BM) and injected dose (ID). Then, the individual input function was estimated using two types of SIF: (1) SIF calibrated by the individual's BM and ID (estimated individual input function, EIF(NS)) and (2) SIF calibrated by a single blood sampling as proposed previously (EIF(1S)). No significant differences in area under the curve (AUC) or cerebral metabolic rate for glucose (CMRGlc) were found across the AIF-, EIF(NS)-, and EIF(1S)-based methods using repeated measures analysis of variance. In the correlation analysis, AUC or CMRGlc derived from EIF(NS) was highly correlated with those derived from AIF and EIF(1S). Preliminary comparison between AIF and EIF(NS) in three awake rats supported an idea that the method might be applicable to behaving animals. The present study suggests that EIF(NS) method might serve as a noninvasive substitute for individual AIF measurement.
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spelling pubmed-46403052015-11-10 Noninvasive quantification of cerebral metabolic rate for glucose in rats using (18)F-FDG PET and standard input function Hori, Yuki Ihara, Naoki Teramoto, Noboru Kunimi, Masako Honda, Manabu Kato, Koichi Hanakawa, Takashi J Cereb Blood Flow Metab Original Article Measurement of arterial input function (AIF) for quantitative positron emission tomography (PET) studies is technically challenging. The present study aimed to develop a method based on a standard arterial input function (SIF) to estimate input function without blood sampling. We performed (18)F-fluolodeoxyglucose studies accompanied by continuous blood sampling for measurement of AIF in 11 rats. Standard arterial input function was calculated by averaging AIFs from eight anesthetized rats, after normalization with body mass (BM) and injected dose (ID). Then, the individual input function was estimated using two types of SIF: (1) SIF calibrated by the individual's BM and ID (estimated individual input function, EIF(NS)) and (2) SIF calibrated by a single blood sampling as proposed previously (EIF(1S)). No significant differences in area under the curve (AUC) or cerebral metabolic rate for glucose (CMRGlc) were found across the AIF-, EIF(NS)-, and EIF(1S)-based methods using repeated measures analysis of variance. In the correlation analysis, AUC or CMRGlc derived from EIF(NS) was highly correlated with those derived from AIF and EIF(1S). Preliminary comparison between AIF and EIF(NS) in three awake rats supported an idea that the method might be applicable to behaving animals. The present study suggests that EIF(NS) method might serve as a noninvasive substitute for individual AIF measurement. Nature Publishing Group 2015-10 2015-05-13 /pmc/articles/PMC4640305/ /pubmed/25966947 http://dx.doi.org/10.1038/jcbfm.2015.104 Text en Copyright © 2015 International Society for Cerebral Blood Flow & Metabolism, Inc. http://creativecommons.org/licenses/by-nc-sa/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/
spellingShingle Original Article
Hori, Yuki
Ihara, Naoki
Teramoto, Noboru
Kunimi, Masako
Honda, Manabu
Kato, Koichi
Hanakawa, Takashi
Noninvasive quantification of cerebral metabolic rate for glucose in rats using (18)F-FDG PET and standard input function
title Noninvasive quantification of cerebral metabolic rate for glucose in rats using (18)F-FDG PET and standard input function
title_full Noninvasive quantification of cerebral metabolic rate for glucose in rats using (18)F-FDG PET and standard input function
title_fullStr Noninvasive quantification of cerebral metabolic rate for glucose in rats using (18)F-FDG PET and standard input function
title_full_unstemmed Noninvasive quantification of cerebral metabolic rate for glucose in rats using (18)F-FDG PET and standard input function
title_short Noninvasive quantification of cerebral metabolic rate for glucose in rats using (18)F-FDG PET and standard input function
title_sort noninvasive quantification of cerebral metabolic rate for glucose in rats using (18)f-fdg pet and standard input function
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4640305/
https://www.ncbi.nlm.nih.gov/pubmed/25966947
http://dx.doi.org/10.1038/jcbfm.2015.104
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