Literature DB >> 31500522

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

Daniel Milej1,2, Lian He3, Androu Abdalmalak1,2, Wesley B Baker4, Udunna C Anazodo1,2, Mamadou Diop1,2, Sudipto Dolui5, Venkaiah C Kavuri3, William Pavlosky2, Lin Wang3, Ramani Balu5, John A Detre5, Olivia Amendolia6, Francis Quattrone6, W Andrew Kofke4,6, Arjun G Yodh3, Keith St Lawrence1,2.   

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.

Entities:  

Keywords:  Arterial spin labeling; brain imaging; brain trauma; cerebral blood flow; near-infrared spectroscopy

Mesh:

Substances:

Year:  2019        PMID: 31500522      PMCID: PMC7370369          DOI: 10.1177/0271678X19872564

Source DB:  PubMed          Journal:  J Cereb Blood Flow Metab        ISSN: 0271-678X            Impact factor:   6.960


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