Quantification of cerebral blood flow in adults by contrast-enhanced near-infrared spectroscopy: Validation against MRI.

IF 1.3 Q3 AGRICULTURAL ECONOMICS & POLICY
Agricultural and Resource Economics Review Pub Date : 2020-08-01 Epub Date: 2019-09-09 DOI:10.1177/0271678X19872564
Daniel Milej, Lian He, Androu Abdalmalak, Wesley B Baker, Udunna C Anazodo, Mamadou Diop, Sudipto Dolui, Venkaiah C Kavuri, William Pavlosky, Lin Wang, Ramani Balu, John A Detre, Olivia Amendolia, Francis Quattrone, W Andrew Kofke, Arjun G Yodh, Keith St Lawrence
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引用次数: 0

Abstract

The purpose of this study was to assess the accuracy of absolute cerebral blood flow (CBF) measurements obtained by dynamic contrast-enhanced (DCE) near-infrared spectroscopy (NIRS) using indocyanine green as a perfusion contrast agent. For validation, CBF was measured independently using the MRI perfusion method arterial spin labeling (ASL). Data were acquired at two sites and under two flow conditions (normocapnia and hypercapnia). Depth sensitivity was enhanced using time-resolved detection, which was demonstrated in a separate set of experiments using a tourniquet to temporally impede scalp blood flow. A strong correlation between CBF measurements from ASL and DCE-NIRS was observed (slope = 0.99 ± 0.08, y-intercept = -1.7 ± 7.4 mL/100 g/min, and R2 = 0.88). Mean difference between the two techniques was 1.9 mL/100 g/min (95% confidence interval ranged from -15 to 19 mL/100g/min and the mean ASL CBF was 75.4 mL/100 g/min). Error analysis showed that structural information and baseline absorption coefficient were needed for optimal CBF reconstruction with DCE-NIRS. This study demonstrated that DCE-NIRS is sensitive to blood flow in the adult brain and can provide accurate CBF measurements with the appropriate modeling techniques.

对比增强近红外光谱法量化成人脑血流量:与核磁共振成像对比验证。
本研究旨在评估使用吲哚菁绿作为灌注对比剂的动态对比增强(DCE)近红外光谱(NIRS)测量绝对脑血流(CBF)的准确性。为了进行验证,使用核磁共振灌注方法动脉自旋标记(ASL)独立测量了 CBF。数据是在两个部位和两种血流条件(正常碳酸血症和高碳酸血症)下采集的。使用时间分辨检测增强了深度灵敏度,这在一组使用止血带在时间上阻碍头皮血流的单独实验中得到了证实。ASL 和 DCE-NIRS 的 CBF 测量值之间存在很强的相关性(斜率 = 0.99 ± 0.08,y-截距 = -1.7 ± 7.4 mL/100 g/min,R2 = 0.88)。两种技术的平均差异为 1.9 mL/100 g/min(95% 置信区间为 -15 至 19 mL/100g/min,ASL CBF 平均值为 75.4 mL/100 g/min)。误差分析表明,利用 DCE-NIRS 重建最佳 CBF 需要结构信息和基线吸收系数。这项研究表明,DCE-NIRS 对成人大脑中的血流很敏感,采用适当的建模技术可以提供准确的 CBF 测量值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Agricultural and Resource Economics Review
Agricultural and Resource Economics Review AGRICULTURAL ECONOMICS & POLICY-
CiteScore
2.20
自引率
0.00%
发文量
23
审稿时长
19 weeks
期刊介绍: The purpose of the Review is to foster and disseminate professional thought and literature relating to the economics of agriculture, natural resources, and community development. It is published twice a year in April and October. In addition to normal refereed articles, it also publishes invited papers presented at the annual meetings of the NAREA as well as abstracts of selected papers presented at those meetings. The Review was formerly known as the Northeastern Journal of Agricultural and Resource Economics
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