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

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

doi:10.1177/0271678X19872564

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

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

Department of Anesthesiology and Perioperative Medicine

Research output: Contribution to journal › Article › peer-review

39 Scopus citations

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.

Original language	English (US)
Pages (from-to)	1672-1684
Number of pages	13
Journal	Journal of Cerebral Blood Flow and Metabolism
Volume	40
Issue number	8
DOIs	https://doi.org/10.1177/0271678X19872564
State	Published - Aug 1 2020

All Science Journal Classification (ASJC) codes

Neurology
Clinical Neurology
Cardiology and Cardiovascular Medicine

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10.1177/0271678X19872564

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Milej, D., He, L., Abdalmalak, A., Baker, W. B., Anazodo, U. C., Diop, M., Dolui, S., Kavuri, V. C., Pavlosky, W., Wang, L., Balu, R., Detre, J. A., Amendolia, O., Quattrone, F., Kofke, W. A., Yodh, A. G., & St Lawrence, K. (2020). Quantification of cerebral blood flow in adults by contrast-enhanced near-infrared spectroscopy: Validation against MRI. Journal of Cerebral Blood Flow and Metabolism, 40(8), 1672-1684. https://doi.org/10.1177/0271678X19872564

@article{e9ea63eb688c4057bb3a902789197b08,

title = "Quantification of cerebral blood flow in adults by contrast-enhanced near-infrared spectroscopy: Validation against MRI",

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.",

author = "Daniel Milej and Lian He and Androu Abdalmalak and Baker, {Wesley B.} and Anazodo, {Udunna C.} and Mamadou Diop and Sudipto Dolui and Kavuri, {Venkaiah C.} and William Pavlosky and Lin Wang and Ramani Balu and Detre, {John A.} and Olivia Amendolia and Francis Quattrone and Kofke, {W. Andrew} and Yodh, {Arjun G.} and {St Lawrence}, Keith",

note = "Publisher Copyright: {\textcopyright} The Author(s) 2019.",

year = "2020",

month = aug,

day = "1",

doi = "10.1177/0271678X19872564",

language = "English (US)",

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Milej, D, He, L, Abdalmalak, A, Baker, WB, Anazodo, UC, Diop, M, Dolui, S, Kavuri, VC, Pavlosky, W, Wang, L, Balu, R, Detre, JA, Amendolia, O, Quattrone, F, Kofke, WA, Yodh, AG & St Lawrence, K 2020, 'Quantification of cerebral blood flow in adults by contrast-enhanced near-infrared spectroscopy: Validation against MRI', Journal of Cerebral Blood Flow and Metabolism, vol. 40, no. 8, pp. 1672-1684. https://doi.org/10.1177/0271678X19872564

TY - JOUR

T1 - Quantification of cerebral blood flow in adults by contrast-enhanced near-infrared spectroscopy

T2 - Validation against MRI

AU - Milej, Daniel

AU - He, Lian

AU - Abdalmalak, Androu

AU - Baker, Wesley B.

AU - Anazodo, Udunna C.

AU - Diop, Mamadou

AU - Dolui, Sudipto

AU - Kavuri, Venkaiah C.

AU - Pavlosky, William

AU - Wang, Lin

AU - Balu, Ramani

AU - Detre, John A.

AU - Amendolia, Olivia

AU - Quattrone, Francis

AU - Kofke, W. Andrew

AU - Yodh, Arjun G.

AU - St Lawrence, Keith

PY - 2020/8/1

Y1 - 2020/8/1

N2 - 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.

AB - 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.

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U2 - 10.1177/0271678X19872564

DO - 10.1177/0271678X19872564

M3 - Article

C2 - 31500522

AN - SCOPUS:85079213188

SN - 0271-678X

VL - 40

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EP - 1684

JO - Journal of Cerebral Blood Flow and Metabolism

JF - Journal of Cerebral Blood Flow and Metabolism

IS - 8

ER -

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

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