Title
Non-Invasive Glucose Metabolism Quantification Method Based on Unilateral ICA Image Derived Input Function by Hybrid PET/MR in Ischemic Cerebrovascular Disease
Abstract
The non-invasive quantification of the cerebral metabolic rate for glucose (CMRGlc) and the characterization of cerebral metabolism in the cerebrovascular territories are helpful in understanding ischemic cerebrovascular disease (ICVD). Firstly, we investigated a non-invasive quantification approach based on an image-derived input function (IDIF) in ICVD. Second, we studied the metabolic changes in CMRGlc after surgical intervention. We evaluated the hypothesis that the IDIF method based on the unilateral internal carotid artery could address challenges in ICVD quantification. The CMRGlc and standardized uptake value ratio (SUVR) were used to measure glucose metabolism activity. Healthy controls showed no significant differences in CMRGlc values between bilateral and unilateral IDIF measurements (intraclass correlation coefficient [ICC]: 0.91–0.98). Patients with ICVD showed significantly increased CMRGlc values after surgical intervention for all territories (percentage changes: 7.4%–22.5%). In contrast, SUVR showed minor differences between postoperative and preoperative patients, indicating that it was a poor biomarker for the diagnosis of ICVD. A significant association between CMRGlc and the National Institutes of Health Stroke Scale (NIHSS) scores was observed ( <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">r</i> =-0.54). Our findings suggested that IDIF could be a valuable tool for CMRGlc quantification in patients with ICVD and may advance personalized precision interventions.
Year
DOI
Venue
2022
10.1109/JBHI.2022.3193190
IEEE Journal of Biomedical and Health Informatics
Keywords
DocType
Volume
Glucose metabolism,ischemic cerebrovascular disease,noninvasive quantification,PET/MR,vascular territory
Journal
26
Issue
ISSN
Citations 
10
2168-2194
0
PageRank 
References 
Authors
0.34
3
13
Name
Order
Citations
PageRank
Min Wang17627.77
Bixiao Cui200.34
Yi Shan300.34
Hongwei Yang400.34
Zhuang-zhi Yan5148.28
Lalith Kumar Shiyam Sundar600.34
Ian Alberts700.34
Axel Rominger800.34
Thomas Wendler900.34
Kuangyu Shi10368.12
Yan Ma1143776.23
Jiehui Jiang1200.34
Jie Lu13516.19