Effects of the Fasting‐Postprandial State on Arterial Spin Labeling MRI‐Based Cerebral Perfusion Quantification in Alzheimer's Disease

Background The fasting‐postprandial state remains an underrecognized confounding factor for quantifying cerebral blood flow (CBF) in the cognitive assessment and differential diagnosis of Alzheimer's disease (AD). Purpose To investigate the effects of fasting‐postprandial state on arterial spin...

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Published inJournal of magnetic resonance imaging Vol. 60; no. 5; pp. 2173 - 2183
Main Authors Li, Runzhi, Zhuo, Zhizheng, Hong, Yin, Yao, Zeshan, Li, Zhaohui, Wang, Yanli, Jiang, Jiwei, Wang, Linlin, Jia, Ziyan, Sun, Mengfan, Zhang, Yuan, Li, Wenyi, Ren, Qiwei, Zhang, Yanling, Duan, Yunyun, Liu, Yi, Wei, Hongen, Zhang, Yechuan, Chappell, Michael, Shi, Hanping, Liu, Yaou, Xu, Jun
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LanguageEnglish
Published Hoboken, USA John Wiley & Sons, Inc 01.11.2024
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Abstract Background The fasting‐postprandial state remains an underrecognized confounding factor for quantifying cerebral blood flow (CBF) in the cognitive assessment and differential diagnosis of Alzheimer's disease (AD). Purpose To investigate the effects of fasting‐postprandial state on arterial spin labeling (ASL)‐based CBF in AD patients. Study Type Prospective. Subjects Ninety‐two subjects (mean age = 62.5 ± 6.4 years; females 29.3%), including 30 with AD, 32 with mild cognitive impairment (MCI), and 30 healthy controls (HCs). Differential diagnostic models were developed with a 4:1 training to testing set ratio. Field Strength/Sequence 3‐T, T1‐weighted imaging using gradient echo and pseudocontinuous ASL imaging using turbo spin echo. Assessment Two ASL scans were acquired to quantify fasting state and postprandial state regional CBFs based on an automated anatomical labeling atlas. Two‐way ANOVA was used to assess the effects of fasting/postprandial state and disease state (AD, MCI, and HC) on regional CBF. Pearson's correlation analysis was conducted between regional CBF and cognitive scores (Mini‐Mental State Examination [MMSE] and Montreal Cognitive Assessment [MoCA]). The diagnostic performances of the fasting state, postprandial state, and mixed state (random mixing of the fasting and postprandial state CBF) in differential diagnosis of AD were conducted using support vector machine and logistic regression models. Statistical Tests Two‐way ANOVA, Pearson's correlation, and area under the curve (AUC) of diagnostic model were performed. P values <0.05 indicated statistical significance. Results Fasting‐state CBF was correlated with cognitive scores in more brain regions (17 vs. 4 [MMSE] and 15 vs. 9 [MoCA]) and had higher absolute correlation coefficients than postprandial‐state CBF. In the differential diagnosis of AD patients from MCI patients and HCs, fasting‐state CBF outperformed mixed‐state CBF, which itself outperformed postprandial‐state CBF. Data Conclusion Compared with postprandial CBF, fasting‐state CBF performed better in terms of cognitive score correlations and in differentiating AD patients from MCI patients and HCs. Evidence Level 2 Technical Efficacy Stage 3
AbstractList The fasting-postprandial state remains an underrecognized confounding factor for quantifying cerebral blood flow (CBF) in the cognitive assessment and differential diagnosis of Alzheimer's disease (AD). To investigate the effects of fasting-postprandial state on arterial spin labeling (ASL)-based CBF in AD patients. Prospective. Ninety-two subjects (mean age = 62.5 ± 6.4 years; females 29.3%), including 30 with AD, 32 with mild cognitive impairment (MCI), and 30 healthy controls (HCs). Differential diagnostic models were developed with a 4:1 training to testing set ratio. 3-T, T1-weighted imaging using gradient echo and pseudocontinuous ASL imaging using turbo spin echo. Two ASL scans were acquired to quantify fasting state and postprandial state regional CBFs based on an automated anatomical labeling atlas. Two-way ANOVA was used to assess the effects of fasting/postprandial state and disease state (AD, MCI, and HC) on regional CBF. Pearson's correlation analysis was conducted between regional CBF and cognitive scores (Mini-Mental State Examination [MMSE] and Montreal Cognitive Assessment [MoCA]). The diagnostic performances of the fasting state, postprandial state, and mixed state (random mixing of the fasting and postprandial state CBF) in differential diagnosis of AD were conducted using support vector machine and logistic regression models. Two-way ANOVA, Pearson's correlation, and area under the curve (AUC) of diagnostic model were performed. P values <0.05 indicated statistical significance. Fasting-state CBF was correlated with cognitive scores in more brain regions (17 vs. 4 [MMSE] and 15 vs. 9 [MoCA]) and had higher absolute correlation coefficients than postprandial-state CBF. In the differential diagnosis of AD patients from MCI patients and HCs, fasting-state CBF outperformed mixed-state CBF, which itself outperformed postprandial-state CBF. Compared with postprandial CBF, fasting-state CBF performed better in terms of cognitive score correlations and in differentiating AD patients from MCI patients and HCs. 2 TECHNICAL EFFICACY: Stage 3.
Background The fasting‐postprandial state remains an underrecognized confounding factor for quantifying cerebral blood flow (CBF) in the cognitive assessment and differential diagnosis of Alzheimer's disease (AD). Purpose To investigate the effects of fasting‐postprandial state on arterial spin labeling (ASL)‐based CBF in AD patients. Study Type Prospective. Subjects Ninety‐two subjects (mean age = 62.5 ± 6.4 years; females 29.3%), including 30 with AD, 32 with mild cognitive impairment (MCI), and 30 healthy controls (HCs). Differential diagnostic models were developed with a 4:1 training to testing set ratio. Field Strength/Sequence 3‐T, T1‐weighted imaging using gradient echo and pseudocontinuous ASL imaging using turbo spin echo. Assessment Two ASL scans were acquired to quantify fasting state and postprandial state regional CBFs based on an automated anatomical labeling atlas. Two‐way ANOVA was used to assess the effects of fasting/postprandial state and disease state (AD, MCI, and HC) on regional CBF. Pearson's correlation analysis was conducted between regional CBF and cognitive scores (Mini‐Mental State Examination [MMSE] and Montreal Cognitive Assessment [MoCA]). The diagnostic performances of the fasting state, postprandial state, and mixed state (random mixing of the fasting and postprandial state CBF) in differential diagnosis of AD were conducted using support vector machine and logistic regression models. Statistical Tests Two‐way ANOVA, Pearson's correlation, and area under the curve (AUC) of diagnostic model were performed. P values <0.05 indicated statistical significance. Results Fasting‐state CBF was correlated with cognitive scores in more brain regions (17 vs. 4 [MMSE] and 15 vs. 9 [MoCA]) and had higher absolute correlation coefficients than postprandial‐state CBF. In the differential diagnosis of AD patients from MCI patients and HCs, fasting‐state CBF outperformed mixed‐state CBF, which itself outperformed postprandial‐state CBF. Data Conclusion Compared with postprandial CBF, fasting‐state CBF performed better in terms of cognitive score correlations and in differentiating AD patients from MCI patients and HCs. Evidence Level 2 Technical Efficacy Stage 3
BackgroundThe fasting‐postprandial state remains an underrecognized confounding factor for quantifying cerebral blood flow (CBF) in the cognitive assessment and differential diagnosis of Alzheimer's disease (AD).PurposeTo investigate the effects of fasting‐postprandial state on arterial spin labeling (ASL)‐based CBF in AD patients.Study TypeProspective.SubjectsNinety‐two subjects (mean age = 62.5 ± 6.4 years; females 29.3%), including 30 with AD, 32 with mild cognitive impairment (MCI), and 30 healthy controls (HCs). Differential diagnostic models were developed with a 4:1 training to testing set ratio.Field Strength/Sequence3‐T, T1‐weighted imaging using gradient echo and pseudocontinuous ASL imaging using turbo spin echo.AssessmentTwo ASL scans were acquired to quantify fasting state and postprandial state regional CBFs based on an automated anatomical labeling atlas. Two‐way ANOVA was used to assess the effects of fasting/postprandial state and disease state (AD, MCI, and HC) on regional CBF. Pearson's correlation analysis was conducted between regional CBF and cognitive scores (Mini‐Mental State Examination [MMSE] and Montreal Cognitive Assessment [MoCA]). The diagnostic performances of the fasting state, postprandial state, and mixed state (random mixing of the fasting and postprandial state CBF) in differential diagnosis of AD were conducted using support vector machine and logistic regression models.Statistical TestsTwo‐way ANOVA, Pearson's correlation, and area under the curve (AUC) of diagnostic model were performed. P values <0.05 indicated statistical significance.ResultsFasting‐state CBF was correlated with cognitive scores in more brain regions (17 vs. 4 [MMSE] and 15 vs. 9 [MoCA]) and had higher absolute correlation coefficients than postprandial‐state CBF. In the differential diagnosis of AD patients from MCI patients and HCs, fasting‐state CBF outperformed mixed‐state CBF, which itself outperformed postprandial‐state CBF.Data ConclusionCompared with postprandial CBF, fasting‐state CBF performed better in terms of cognitive score correlations and in differentiating AD patients from MCI patients and HCs.Evidence Level2Technical EfficacyStage 3
The fasting-postprandial state remains an underrecognized confounding factor for quantifying cerebral blood flow (CBF) in the cognitive assessment and differential diagnosis of Alzheimer's disease (AD).BACKGROUNDThe fasting-postprandial state remains an underrecognized confounding factor for quantifying cerebral blood flow (CBF) in the cognitive assessment and differential diagnosis of Alzheimer's disease (AD).To investigate the effects of fasting-postprandial state on arterial spin labeling (ASL)-based CBF in AD patients.PURPOSETo investigate the effects of fasting-postprandial state on arterial spin labeling (ASL)-based CBF in AD patients.Prospective.STUDY TYPEProspective.Ninety-two subjects (mean age = 62.5 ± 6.4 years; females 29.3%), including 30 with AD, 32 with mild cognitive impairment (MCI), and 30 healthy controls (HCs). Differential diagnostic models were developed with a 4:1 training to testing set ratio.SUBJECTSNinety-two subjects (mean age = 62.5 ± 6.4 years; females 29.3%), including 30 with AD, 32 with mild cognitive impairment (MCI), and 30 healthy controls (HCs). Differential diagnostic models were developed with a 4:1 training to testing set ratio.3-T, T1-weighted imaging using gradient echo and pseudocontinuous ASL imaging using turbo spin echo.FIELD STRENGTH/SEQUENCE3-T, T1-weighted imaging using gradient echo and pseudocontinuous ASL imaging using turbo spin echo.Two ASL scans were acquired to quantify fasting state and postprandial state regional CBFs based on an automated anatomical labeling atlas. Two-way ANOVA was used to assess the effects of fasting/postprandial state and disease state (AD, MCI, and HC) on regional CBF. Pearson's correlation analysis was conducted between regional CBF and cognitive scores (Mini-Mental State Examination [MMSE] and Montreal Cognitive Assessment [MoCA]). The diagnostic performances of the fasting state, postprandial state, and mixed state (random mixing of the fasting and postprandial state CBF) in differential diagnosis of AD were conducted using support vector machine and logistic regression models.ASSESSMENTTwo ASL scans were acquired to quantify fasting state and postprandial state regional CBFs based on an automated anatomical labeling atlas. Two-way ANOVA was used to assess the effects of fasting/postprandial state and disease state (AD, MCI, and HC) on regional CBF. Pearson's correlation analysis was conducted between regional CBF and cognitive scores (Mini-Mental State Examination [MMSE] and Montreal Cognitive Assessment [MoCA]). The diagnostic performances of the fasting state, postprandial state, and mixed state (random mixing of the fasting and postprandial state CBF) in differential diagnosis of AD were conducted using support vector machine and logistic regression models.Two-way ANOVA, Pearson's correlation, and area under the curve (AUC) of diagnostic model were performed. P values <0.05 indicated statistical significance.STATISTICAL TESTSTwo-way ANOVA, Pearson's correlation, and area under the curve (AUC) of diagnostic model were performed. P values <0.05 indicated statistical significance.Fasting-state CBF was correlated with cognitive scores in more brain regions (17 vs. 4 [MMSE] and 15 vs. 9 [MoCA]) and had higher absolute correlation coefficients than postprandial-state CBF. In the differential diagnosis of AD patients from MCI patients and HCs, fasting-state CBF outperformed mixed-state CBF, which itself outperformed postprandial-state CBF.RESULTSFasting-state CBF was correlated with cognitive scores in more brain regions (17 vs. 4 [MMSE] and 15 vs. 9 [MoCA]) and had higher absolute correlation coefficients than postprandial-state CBF. In the differential diagnosis of AD patients from MCI patients and HCs, fasting-state CBF outperformed mixed-state CBF, which itself outperformed postprandial-state CBF.Compared with postprandial CBF, fasting-state CBF performed better in terms of cognitive score correlations and in differentiating AD patients from MCI patients and HCs.DATA CONCLUSIONCompared with postprandial CBF, fasting-state CBF performed better in terms of cognitive score correlations and in differentiating AD patients from MCI patients and HCs.2 TECHNICAL EFFICACY: Stage 3.EVIDENCE LEVEL2 TECHNICAL EFFICACY: Stage 3.
Author Jiang, Jiwei
Wang, Yanli
Duan, Yunyun
Hong, Yin
Li, Wenyi
Li, Runzhi
Shi, Hanping
Li, Zhaohui
Sun, Mengfan
Ren, Qiwei
Zhuo, Zhizheng
Jia, Ziyan
Zhang, Yanling
Wang, Linlin
Wei, Hongen
Zhang, Yechuan
Xu, Jun
Chappell, Michael
Liu, Yi
Zhang, Yuan
Liu, Yaou
Yao, Zeshan
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Keywords cognitive function
postprandial
cerebral blood flow
fasting
Alzheimer's disease
Language English
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Notes Runzhi Li, Zhizheng Zhuo, and Yin Hong contributed equally to this work.
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PublicationSubtitle JMRI
PublicationTitle Journal of magnetic resonance imaging
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PublicationYear 2024
Publisher John Wiley & Sons, Inc
Wiley Subscription Services, Inc
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Snippet Background The fasting‐postprandial state remains an underrecognized confounding factor for quantifying cerebral blood flow (CBF) in the cognitive assessment...
The fasting-postprandial state remains an underrecognized confounding factor for quantifying cerebral blood flow (CBF) in the cognitive assessment and...
BackgroundThe fasting‐postprandial state remains an underrecognized confounding factor for quantifying cerebral blood flow (CBF) in the cognitive assessment...
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SubjectTerms Aged
Alzheimer Disease - diagnostic imaging
Alzheimer Disease - physiopathology
Alzheimer's disease
Blood flow
Brain - blood supply
Brain - diagnostic imaging
Cerebral blood flow
Cerebrovascular Circulation - physiology
Cognitive ability
Cognitive Dysfunction - diagnostic imaging
cognitive function
Correlation analysis
Correlation coefficient
Correlation coefficients
Diagnosis
Diagnosis, Differential
Diagnostic systems
Differential diagnosis
Fasting
Female
Field strength
Humans
Image acquisition
Labeling
Magnetic Resonance Imaging - methods
Male
Medical imaging
Middle Aged
Neurodegenerative diseases
Neuroimaging
postprandial
Postprandial Period
Prospective Studies
Regional analysis
Regional development
Regression analysis
Regression models
Spin labeling
Spin Labels
Statistical analysis
Statistical models
Statistical tests
Support vector machines
Variance analysis
Title Effects of the Fasting‐Postprandial State on Arterial Spin Labeling MRI‐Based Cerebral Perfusion Quantification in Alzheimer's Disease
URI https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fjmri.29348
https://www.ncbi.nlm.nih.gov/pubmed/38544434
https://www.proquest.com/docview/3115043021
https://www.proquest.com/docview/3014006926
Volume 60
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