{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,6]],"date-time":"2025-12-06T21:38:08Z","timestamp":1765057088236,"version":"3.41.2"},"reference-count":36,"publisher":"Wiley","license":[{"start":{"date-parts":[[2024,3,27]],"date-time":"2024-03-27T00:00:00Z","timestamp":1711497600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100004480","name":"Natural Science Foundation of Shanxi Province","doi-asserted-by":"publisher","award":["2022YFC2009904","2021YFC2500100","2021YFC2500103"],"award-info":[{"award-number":["2022YFC2009904","2021YFC2500100","2021YFC2500103"]}],"id":[{"id":"10.13039\/501100004480","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81870821","82071187"],"award-info":[{"award-number":["81870821","82071187"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["202203021222360"],"award-info":[{"award-number":["202203021222360"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Magnetic Resonance Imaging"],"abstract":"<jats:sec><jats:title>Background<\/jats:title><jats:p>The fasting\u2010postprandial state remains an underrecognized confounding factor for quantifying cerebral blood flow (CBF) in the cognitive assessment and differential diagnosis of Alzheimer's disease (AD).<\/jats:p><\/jats:sec><jats:sec><jats:title>Purpose<\/jats:title><jats:p>To investigate the effects of fasting\u2010postprandial state on arterial spin labeling (ASL)\u2010based CBF in AD patients.<\/jats:p><\/jats:sec><jats:sec><jats:title>Study Type<\/jats:title><jats:p>Prospective.<\/jats:p><\/jats:sec><jats:sec><jats:title>Subjects<\/jats:title><jats:p>Ninety\u2010two subjects (mean age\u2009=\u200962.5\u2009\u00b1\u20096.4\u2009years; 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.<\/jats:p><\/jats:sec><jats:sec><jats:title>Field Strength\/Sequence<\/jats:title><jats:p>3\u2010T, T1\u2010weighted imaging using gradient echo and pseudocontinuous ASL imaging using turbo spin echo.<\/jats:p><\/jats:sec><jats:sec><jats:title>Assessment<\/jats:title><jats:p>Two ASL scans were acquired to quantify fasting state and postprandial state regional CBFs based on an automated anatomical labeling atlas. Two\u2010way 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\u2010Mental 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.<\/jats:p><\/jats:sec><jats:sec><jats:title>Statistical Tests<\/jats:title><jats:p>Two\u2010way ANOVA, Pearson's correlation, and area under the curve (AUC) of diagnostic model were performed. <jats:italic>P<\/jats:italic> values &lt;0.05 indicated statistical significance.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Fasting\u2010state 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\u2010state CBF. In the differential diagnosis of AD patients from MCI patients and HCs, fasting\u2010state CBF outperformed mixed\u2010state CBF, which itself outperformed postprandial\u2010state CBF.<\/jats:p><\/jats:sec><jats:sec><jats:title>Data Conclusion<\/jats:title><jats:p>Compared with postprandial CBF, fasting\u2010state CBF performed better in terms of cognitive score correlations and in differentiating AD patients from MCI patients and HCs.<\/jats:p><\/jats:sec><jats:sec><jats:title>Evidence Level<\/jats:title><jats:p>2<\/jats:p><\/jats:sec><jats:sec><jats:title>Technical Efficacy<\/jats:title><jats:p>Stage 3<\/jats:p><\/jats:sec>","DOI":"10.1002\/jmri.29348","type":"journal-article","created":{"date-parts":[[2024,3,28]],"date-time":"2024-03-28T06:59:23Z","timestamp":1711609163000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Effects of the Fasting\u2010Postprandial State on Arterial Spin Labeling <scp>MRI<\/scp>\u2010Based Cerebral Perfusion Quantification in Alzheimer's Disease"],"prefix":"10.1002","author":[{"given":"Runzhi","family":"Li","sequence":"first","affiliation":[{"name":"Department of Neurology, Beijing Tiantan Hospital Capital Medical University  Beijing China"},{"name":"Department of Neurology, Shanxi Provincial People's Hospital The Fifth Clinical Medical College of Shanxi Medical University  Taiyuan China"},{"name":"Department of Radiology, Beijing Tiantan Hospital Capital Medical University  Beijing China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhizheng","family":"Zhuo","sequence":"additional","affiliation":[{"name":"Department of Radiology, Beijing Tiantan Hospital Capital Medical University  Beijing China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yin","family":"Hong","sequence":"additional","affiliation":[{"name":"Health Management Center, Beijing Tiantan Hospital Capital Medical University  Beijing 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