Literature DB >> 36167879

Quantitative regional cerebral blood flow measurement using near-infrared spectroscopy and indocyanine green in patients undergoing superficial temporal to middle cerebral artery bypass for moyamoya disease: a novel method using a frequency filter.

Akito Tsukinaga1, Kenji Yoshitani2, Takeo Ozaki3, Jun C Takahashi4, Soshiro Ogata5, Yoshihiko Ohnishi1.   

Abstract

Measuring regional cerebral blood flow (rCBF) after revascularization for moyamoya disease, as a type of ischemic cerebrovascular disease, is crucial. This study aims to validate our novel technology that combines near-infrared spectroscopy (NIRS) with a frequency filter to extract the arterial component. We measured rCBF before and after revascularization for moyamoya disease and at the end of the surgery using NIRO-200NX (Hamamatsu Photonics, Japan) and indocyanine green (ICG). rCBF was calculated using Fick's principle, change in arterial ICG concentrations, and maximum arterial ICG concentration. rCBF measured with NIRS (rCBF_N) was compared with pre- and postoperative rCBF measured with SPECT (rCBF_S). Thirty-four procedures were analyzed. rCBF_N increased from baseline to end of the surgery (mean difference (MD), 2.99 ml/min/100 g; 95% confidence interval (CI), 0.40-5.57 ml/min/100 g on the diseased side; MD, 4.94 ml/min/100 g; 95% CI, 2.35-7.52 ml/min/100 g on the non-diseased side). Similar trends were observed for rCBF_S (MD, 3.98 ml/min/100 g; 95% CI, 2.30-5.67 ml/min/100 g on the diseased side; MD, 2.77 ml/min/100 g; 95% CI, 1.09-4.45 ml/min/100 g on the non-diseased side). Intraclass correlations 3 (ICC3s) between rCBF_N and rCBF_S were weak on the diseased side (ICC3, 0.25; 95% CI, -0.03-0.5; p = 0.07) and the non-diseased side (ICC3, 0.24; 95% CI, -0.05-0.5; p = 0.08). rCBF measurements based on this novel method were weakly correlated with rCBF measurements with SPECT.
© 2022. The Author(s), under exclusive licence to Springer Nature B.V.

Entities:  

Keywords:  Cerebrovascular circulation; Indocyanine green; Moyamoya disease; Near-infrared; Spectroscopy

Year:  2022        PMID: 36167879     DOI: 10.1007/s10877-022-00916-z

Source DB:  PubMed          Journal:  J Clin Monit Comput        ISSN: 1387-1307            Impact factor:   1.977


  19 in total

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Journal:  Stroke       Date:  2015-12-08       Impact factor: 7.914

Review 2.  The frequency of postoperative stroke in moyamoya disease following combined revascularization: a single-university series and systematic review.

Authors:  Ken Kazumata; Masaki Ito; Kikutaro Tokairin; Yasuhiro Ito; Kiyohiro Houkin; Naoki Nakayama; Satoshi Kuroda; Tatsuya Ishikawa; Hiroyasu Kamiyama
Journal:  J Neurosurg       Date:  2014-03-07       Impact factor: 5.115

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4.  The relation between arterial oxygen tension and cerebral blood flow during cardiopulmonary bypass.

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5.  Measurement of cerebral blood flow in newborn infants using near infrared spectroscopy with indocyanine green.

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Journal:  Pediatr Res       Date:  1998-01       Impact factor: 3.756

6.  Noninvasive measurement of regional cerebral blood flow by near-infrared spectroscopy and indocyanine green.

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Journal:  J Cereb Blood Flow Metab       Date:  1998-04       Impact factor: 6.200

7.  Detection of Brain Hypoxia Based on Noninvasive Optical Monitoring of Cerebral Blood Flow with Diffuse Correlation Spectroscopy.

Authors:  David R Busch; Ramani Balu; Wesley B Baker; Wensheng Guo; Lian He; Mamadou Diop; Daniel Milej; Venkaiah Kavuri; Olivia Amendolia; Keith St Lawrence; Arjun G Yodh; W Andrew Kofke
Journal:  Neurocrit Care       Date:  2019-02       Impact factor: 3.210

8.  Noninvasive cerebral optical spectroscopy for monitoring cerebral oxygen delivery and hemodynamics.

Authors:  P W McCormick; M Stewart; M G Goetting; M Dujovny; G Lewis; J I Ausman
Journal:  Crit Care Med       Date:  1991-01       Impact factor: 7.598

9.  Effects of extracranial-intracranial bypass for patients with hemorrhagic moyamoya disease: results of the Japan Adult Moyamoya Trial.

Authors:  Susumu Miyamoto; Takashi Yoshimoto; Nobuo Hashimoto; Yasushi Okada; Ichiro Tsuji; Teiji Tominaga; Jyoji Nakagawara; Jun C Takahashi
Journal:  Stroke       Date:  2014-03-25       Impact factor: 7.914

10.  Factors affecting transtemporal window quality in transcranial sonography.

Authors:  Lei He; Dong-Fang Wu; Jing-Han Zhang; Shuai Zheng; Yi Li; Wen He
Journal:  Brain Behav       Date:  2022-03-03       Impact factor: 3.405

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