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 in | Journal of magnetic resonance imaging Vol. 60; no. 5; pp. 2173 - 2183 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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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 |
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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 |
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Notes | Runzhi Li, Zhizheng Zhuo, and Yin Hong contributed equally to this work. ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
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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 |
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