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Updated: Jul 20, 2026

Magnetic Resonance Imaging Quantification of Pulmonary Perfusion using Calibrated Arterial Spin Labeling
Published on: May 30, 2011
The potential utility of arterial spin labeling in predicting brain amyloidosis
Kimia Kazemzadeh1, Nasim Naseri2, Mahsa Mombeini3
1Network of Neurosurgery and Artificial Intelligence (NONAI), Universal Scientific Education and Research Network (USERN), Tehran, Iran.
Background:
Declines in regional cerebral blood flow (rCBF) are common in Alzheimer's disease. Previous studies have linked higher amyloid beta-protein (Aβ) loads, detected by Positron Emission Tomography (PET), with rCBF in normally aging individuals. This study aims to assess the potential of Arterial Spin Labeling (ASL) in predicting brain amyloidosis.
Methods:
The study included 140 participants from theAlzheimer'sDisease Neuroimaging Initiative (ADNI), comprising 43 cognitively normal (CN) individuals, 70 patients with mild cognitive impairment (MCI), and 27 withAlzheimer'sdisease (AD). Eligible participants had comprehensive assessments of cognition, ASL, Apolipoprotein E4 (APOE4) genotyping, Polygenic Hazard Score (PHS) calculation, and amyloidosis indices. Datawere analyzedusing IBM SPSS ver. 20, employing chi-square, ANOVA, and linear regression models, with a significance threshold of P < 0.05.
Results:
There were no statistically significant differences in demographic characteristics, including age, gender, and education level. Significant differences emerged in amyloid beta-protein 42 (Aβ42) levels, APOE4 status, and cognitive performance across groups. Four brain regions, including the left middle temporal, bilateral para-hippocampal, and right lingual cortex exhibited significant CBF differences (p < 0.05). Clinical Dementia Rating (CDR) correlated strongly with various brain regions, particularly in MCI individuals. Moreover, CBF in multiple regions showed significant associations with Aβ variants and their ratios, especially Aβ42, even after adjusting for confounding factors.
Conclusion:
ASL demonstrates potential in predicting brain amyloidosis and monitoring AD. Significant associations between CBF and amyloid-beta levels suggest that ASL can detect early perfusion deficits related to AD progression.

