Cited by 5Acute Ischemic Stroke ManagementMedical Imaging Techniques and ApplicationsAdvanced MRI Techniques and Applications

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Comparison of the Correlation Between Cerebral [18F]FDG Metabolism as Assessed by Two Asymmetry Indices and Clinical Neurological Score in Patients with Ischemic Cerebrovascular Disease

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Liang, Yuxin, Cui, Bixiao, Ye, Linlin, Yang, Bin, Shan, Yi, Yang, Hongwei, Ma, Lei, Zhang, Miao, Lu, Jie·2025·Molecular Imaging and Biology

Published version of a preprint

Abstract

Purpose: Two types of asymmetry index (AI) have been utilized in evaluating cerebral function in ischemic cerebrovascular disease, however, few data exist on the differences between these AI measures. This study aimed to compare the two AIs in assessing PET cerebral metabolism and their correlation with clinical scales, to explore their potential value and applications in clinical settings. Procedures: Seventy patients diagnosed with subacute and chronic ischemic stroke were retrospectively analyzed. All patients underwent 2-deoxy- 2-[ 18 F]fluoro-D-glucose ([ 18 F]FDG) PET/MR scans and were assessed using the National Institutes of Health Stroke Scale (NIHSS) and the Modified Rankin Scale (mRS). Nineteen patients underwent a repeat [ 18 F]FDG PET/MR scan one year later. Two voxel-wise AI methods, designated as AI 1 and AI 2 , were calculated based on standardized uptake value ratio (SUVR). The hypometabolism on affected side assessed by different AI methods were compared. The correlations between the hypometabolism and the clinical scores were analyzed. Results: The volume and percentage of decreased [ 18 F]FDG metabolism assessed by AI 2 was larger than that obtained from AI 1 (all p < 0.0001). The correlation coefficients between the clinical scores and the decreased metabolism in temporal and parietal lobes assessed by AI 1 method were all higher than those from AI 2 . In addition, the improved follow-up patients showed more pronounced metabolic improvement as assessed by AI 1 . Conclusions: The assessment of cerebral [ 18 F]FDG metabolism in patients with unilateral internal carotid/middle cerebral artery steno-occlusion to reflect clinical neurological function using the AI 1 method demonstrated superior performance in comparison to the AI 2 method.

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Metadata

Authors
Liang, Y., Cui, B., Ye, L., Yang, B., Shan, Y., Yang, H., Ma, L., Zhang, M., & Lu, J.
Affiliations
Capital Medical University (CN)
Corresponding author
  • Zhang, Miao
  • Lu, Jie
Venue
Molecular Imaging and Biology
Published
2025-04-15
Volume
27
Issue
3
Pages
454-464
ISSN
  • 1536-1632 (ISSN-L)
  • 1860-2002
OpenAlex
W4409476023
Cited by
5
References
1
Citations by year
2026: 5
FWCI
3.44
Type
journal article
Language
en
Open access
Locations
  • Molecular Imaging and Biology (publishedVersion, cc-by)
  • Research Square (acceptedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Funders
  • National Natural Science Foundation of China (82130058)
  • R&D Program of Beijing Municipal Education Commission (KM202410025016)
  • Natural Science Foundation of Capital Medical University (PYZ22048)
  • Project of Beijing Municipal Administration of Hospitals Incubating Program (PX2024033)
  • Training Fund for Open Projects at Clinical Institutes and Departments of Capital Medical University (CCMU2024ZKYXZ008)
Topics
  • Health Sciences › Medicine › Clinical Neurology › Acute Ischemic Stroke Management
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Medical Imaging Techniques and Applications
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
Keywords
18F-FDG PET, ischemic stroke, brain hypometabolism, standardized uptake value ratio, NIHSS, modified Rankin Scale, metabolic recovery, clinical outcome prediction
MeSH terms
Aged, Brain, Brain Ischemia, Cerebrovascular Disorders, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Retrospective Studies, Fluorodeoxyglucose F18, Positron-Emission Tomography

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