For Publishers
DiscoveryMetadataPeer reviewHostingPublishing
For Researchers
JoinPublishReviewCollect
Register
Blog
About
Search
Advanced search
My ScienceOpen
Search
For Publishers
For Researchers
Blog
About
13
views
30
references
 Top references
cited by
1
    
0 reviews
 Review
0
comments
 Comment
0
recommends
+1 Recommend
0 collections
    0
    shares
      307
      similar
       All similar
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Indocyanine green kinetics with near-infrared spectroscopy predicts cerebral hyperperfusion syndrome after carotid artery stenting

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Cerebral hyperperfusion syndrome (HPS) is a potentially life-threatening complication following carotid artery stenting (CAS) and carotid endoarterectomy (CEA). Early prediction and treatment of patients at risk for HPS are required in patients undergoing CAS because HPS occurs significantly earlier after CAS than CEA. Near-infrared spectroscopy (NIRS) is often used for monitoring, and indocyanine green (ICG) kinetics by NIRS (ICG-NIRS) can detect reductions in cerebral perfusion in patients with acute stroke. However, whether ICG-NIRS can predict postoperative hyperperfusion phenomenon (HP) after carotid revascularization is unclear.

          Objective

          Here, we evaluated whether the blood flow index (BFI) ratio calculated from a time-intensity curve from ICG-NIRS monitoring can predict HPS after CAS.

          Methods

          The BFI ratio was prospectively monitored using ICG-NIRS in 135 patients undergoing CAS. Preoperative cerebrovascular reactivity (CVR) and the postoperative asymmetry index (AI) were also assessed with single-photon emission computed tomography before and after CAS, and the correlation was evaluated. In addition, patients were divided into two groups, a non-HP group (n = 113) and an HP group (n = 22), and we evaluated the correlation with hemodynamic impairment in the ipsilateral hemisphere and clinical results.

          Results

          Twenty-two cases (16%) showed HP, and four (3%) showed HPS after CAS. The BFI ratio calculated from ICG-NIRS showed a significant linear correlation with preoperative CVR and postoperative AI (r = −0.568, 0.538, P < 0.001, <0.001, respectively). The degree of stenosis, the rate of no cross flow, preoperative CVR, and the incidence of HPS were significantly different between the groups.

          Conclusions

          Measurement of ICG kinetics by NIRS is useful for detection of HPS in patients who underwent CAS.

          Related collections

          Most cited references30

          • Record: found
          • Abstract: found
          • Article: not found

          Protected carotid-artery stenting versus endarterectomy in high-risk patients.

          Jay S Yadav, Mark Wholey, Richard Kuntz … (2004)
          Carotid endarterectomy is more effective than medical management in the prevention of stroke in patients with severe symptomatic or asymptomatic atherosclerotic carotid-artery stenosis. Stenting with the use of an emboli-protection device is a less invasive revascularization strategy than endarterectomy in carotid-artery disease. We conducted a randomized trial comparing carotid-artery stenting with the use of an emboli-protection device to endarterectomy in 334 patients with coexisting conditions that potentially increased the risk posed by endarterectomy and who had either a symptomatic carotid-artery stenosis of at least 50 percent of the luminal diameter or an asymptomatic stenosis of at least 80 percent. The primary end point of the study was the cumulative incidence of a major cardiovascular event at 1 year--a composite of death, stroke, or myocardial infarction within 30 days after the intervention or death or ipsilateral stroke between 31 days and 1 year. The study was designed to test the hypothesis that the less invasive strategy, stenting, was not inferior to endarterectomy. The primary end point occurred in 20 patients randomly assigned to undergo carotid-artery stenting with an emboli-protection device (cumulative incidence, 12.2 percent) and in 32 patients randomly assigned to undergo endarterectomy (cumulative incidence, 20.1 percent; absolute difference, -7.9 percentage points; 95 percent confidence interval, -16.4 to 0.7 percentage points; P=0.004 for noninferiority, and P=0.053 for superiority). At one year, carotid revascularization was repeated in fewer patients who had received stents than in those who had undergone endarterectomy (cumulative incidence, 0.6 percent vs. 4.3 percent; P=0.04). Among patients with severe carotid-artery stenosis and coexisting conditions, carotid stenting with the use of an emboli-protection device is not inferior to carotid endarterectomy. Copyright 2004 Massachusetts Medical Society.
          Article 0 comments Cited 263 times – based on 0 reviews     Review now
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Evaluation of a near-infrared spectrometer (NIRO 300) for the detection of intracranial oxygenation changes in the adult head.

            Namir Al Tawil, P Kirkpatrick, P Smielewski (2001)
            The clinical application of intracranial near-infrared spectroscopy in adults has been hampered by concerns over contamination from extracranial tissues. The NIRO 300 (Hamamatsu Photonics) provides continuous online measurements of hemoglobin and cytochrome oxidase concentrations and a calculated tissue oxygen index (TOI). The present study seeks confirmation of the anatomic source of TOI in the adult cranium. Sixty patients undergoing carotid endarterectomy were studied. The NIRO 300 was incorporated into an established multimodal monitoring system. TOI, oxyhemoglobin, and deoxyhemoglobin changes were assessed and compared with (1) frontal cutaneous laser-Doppler flowmetry and (2) transcranial Doppler measurement of the ipsilateral middle cerebral artery flow velocity. Changes in TOI were seen during cross-clamping of the carotid vessels in 49 patients (mean DeltaTOI=-9.4%, SD=7.1). Significant correlation was seen between TOI and flow velocity (r=0.56) but not with laser-Doppler flowmetry (r=0.13). In 31 patients, oxyhemoglobin and deoxyhemoglobin concentrations were recorded, showing significant changes during both external carotid artery and internal carotid artery clamping. A change in TOI was predominantly associated with internal carotid artery clamping (n=41). When TOI changed during external carotid artery clamping (n=8), significant blood pressure changes occurred, or extracranial-to-intracranial anastomosis was evident. In the absence of such variables, the sensitivity of TOI to intracranial and extracranial changes was 87.5% and 0%, respectively, and specificity was 100% and 0%, respectively. The NIRO 300 reflects changes in cerebral tissue oxygenation when TOI is calculated, with a high degree of sensitivity and specificity.
            Article 0 comments Cited 54 times – based on 0 reviews     Review now
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Accuracy and reliability assessment of CT and MR perfusion analysis software using a digital phantom.

              Kohsuke Kudo, Soren B. Christensen, Makoto Sasaki … (2013)
              To design a digital phantom data set for computed tomography (CT) perfusion and perfusion-weighted imaging on the basis of the widely accepted tracer kinetic theory in which the true values of cerebral blood flow (CBF), cerebral blood volume (CBV), mean transit time (MTT), and tracer arrival delay are known and to evaluate the accuracy and reliability of postprocessing programs using this digital phantom. A phantom data set was created by generating concentration-time curves reflecting true values for CBF (2.5-87.5 mL/100 g per minute), CBV (1.0-5.0 mL/100 g), MTT (3.4-24 seconds), and tracer delays (0-3.0 seconds). These curves were embedded in human brain images. The data were analyzed by using 13 algorithms each for CT and magnetic resonance (MR), including five commercial vendors and five academic programs. Accuracy was assessed by using the Pearson correlation coefficient (r) for true values. Delay-, MTT-, or CBV-dependent errors and correlations between time to maximum of residue function (Tmax) were also evaluated. In CT, CBV was generally well reproduced (r > 0.9 in 12 algorithms), but not CBF and MTT (r > 0.9 in seven and four algorithms, respectively). In MR, good correlation (r > 0.9) was observed in one-half of commercial programs, while all academic algorithms showed good correlations for all parameters. Most algorithms had delay-dependent errors, especially for commercial software, as well as CBV dependency for CBF or MTT calculation and MTT dependency for CBV calculation. Correlation was good in Tmax except for one algorithm. The digital phantom readily evaluated the accuracy and characteristics of the CT and MR perfusion analysis software. All commercial programs had delay-induced errors and/or insufficient correlations with true values, while academic programs for MR showed good correlations with true values. http://radiology.rsna.org/lookup/suppl/doi:10.1148/radiol.12112618/-/DC1. RSNA, 2012
              Article 0 comments Cited 43 times – based on 0 reviews     Review now
                Bookmark
                All references

                Author and article information

                Contributors
                Yoko Hoshi: Role: Editor
                Journal
                Journal ID (nlm-ta): PLoS One
                Journal ID (iso-abbrev): PLoS ONE
                Journal ID (publisher-id): plos
                Journal ID (pmc): plosone
                Title: PLoS ONE
                Publisher: Public Library of Science (San Francisco, CA USA )
                ISSN (Electronic): 1932-6203
                Publication date (Electronic): 12 July 2017
                Publication date Collection: 2017
                Volume: 12
                Issue: 7
                Electronic Location Identifier: e0180684
                Affiliations
                [1 ] Departments of Neurosurgery Nara Medical University, Nara, Japan
                [2 ] Departments of Radiology, Nara Medical University, Nara, Japan
                Medical Photonics Research Center, Hamamatsu University School of Medicine, JAPAN
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                • Conceptualization: IN.

                • Data curation: IN HSP S. Yokoyama TW.

                • Formal analysis: IN.

                • Funding acquisition: HN.

                • Investigation: IN.

                • Methodology: IN.

                • Project administration: IN.

                • Resources: IN.

                • Software: IN.

                • Supervision: KK HN.

                • Validation: IN.

                • Visualization: IN.

                • Writing – original draft: IN.

                • Writing – review & editing: IN HSP S. Yokoyama S. Yamada YM YSP TW KK HN.

                Author information
                http://orcid.org/0000-0002-1340-3293
                Article
                Publisher ID: PONE-D-17-10742
                DOI: 10.1371/journal.pone.0180684
                PMC ID: 5507521
                PubMed ID: 28704454
                SO-VID: 83a0b7eb-e99b-4ff8-a81e-1b87c6633c7b
                Copyright © © 2017 Nakagawa et al
                License:

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                Date received : 19 March 2017
                Date accepted : 19 June 2017
                Page count
                Figures: 6, Tables: 3, Pages: 15
                Funding
                The authors received no specific funding for this work.
                Categories
                Subject: Research Article
                Subject: Research and Analysis Methods
                Subject: Spectrum Analysis Techniques
                Subject: Infrared Spectroscopy
                Subject: near-Infrared Spectroscopy
                Subject: Research and Analysis Methods
                Subject: Imaging Techniques
                Subject: Neuroimaging
                Subject: Single Photon Emission Computed Tomography
                Subject: Biology and Life Sciences
                Subject: Neuroscience
                Subject: Neuroimaging
                Subject: Single Photon Emission Computed Tomography
                Subject: Medicine and Health Sciences
                Subject: Diagnostic Medicine
                Subject: Diagnostic Radiology
                Subject: Tomography
                Subject: Single Photon Emission Computed Tomography
                Subject: Research and Analysis Methods
                Subject: Imaging Techniques
                Subject: Diagnostic Radiology
                Subject: Tomography
                Subject: Single Photon Emission Computed Tomography
                Subject: Medicine and Health Sciences
                Subject: Radiology and Imaging
                Subject: Diagnostic Radiology
                Subject: Tomography
                Subject: Single Photon Emission Computed Tomography
                Subject: Medicine and Health Sciences
                Subject: Diagnostic Medicine
                Subject: Signs and Symptoms
                Subject: Stenosis
                Subject: Medicine and Health Sciences
                Subject: Pathology and Laboratory Medicine
                Subject: Signs and Symptoms
                Subject: Stenosis
                Subject: Biology and Life Sciences
                Subject: Anatomy
                Subject: Cardiovascular Anatomy
                Subject: Blood Vessels
                Subject: Arteries
                Subject: Carotid Arteries
                Subject: Medicine and Health Sciences
                Subject: Anatomy
                Subject: Cardiovascular Anatomy
                Subject: Blood Vessels
                Subject: Arteries
                Subject: Carotid Arteries
                Subject: Research and Analysis Methods
                Subject: Bioassays and Physiological Analysis
                Subject: Cardiovascular Analysis
                Subject: Cerebral Blood Flow Assay
                Subject: Medicine and Health Sciences
                Subject: Diagnostic Medicine
                Subject: Signs and Symptoms
                Subject: Lesions
                Subject: Medicine and Health Sciences
                Subject: Pathology and Laboratory Medicine
                Subject: Signs and Symptoms
                Subject: Lesions
                Subject: Biology and Life Sciences
                Subject: Anatomy
                Subject: Body Fluids
                Subject: Blood
                Subject: Blood Flow
                Subject: Medicine and Health Sciences
                Subject: Anatomy
                Subject: Body Fluids
                Subject: Blood
                Subject: Blood Flow
                Subject: Biology and Life Sciences
                Subject: Physiology
                Subject: Body Fluids
                Subject: Blood
                Subject: Blood Flow
                Subject: Medicine and Health Sciences
                Subject: Physiology
                Subject: Body Fluids
                Subject: Blood
                Subject: Blood Flow
                Subject: Medicine and Health Sciences
                Subject: Diagnostic Medicine
                Subject: Diagnostic Radiology
                Subject: Magnetic Resonance Imaging
                Subject: Research and Analysis Methods
                Subject: Imaging Techniques
                Subject: Diagnostic Radiology
                Subject: Magnetic Resonance Imaging
                Subject: Medicine and Health Sciences
                Subject: Radiology and Imaging
                Subject: Diagnostic Radiology
                Subject: Magnetic Resonance Imaging
                Custom metadata
                Data Availability All relevant data are within the paper.

                ScienceOpen disciplines: Uncategorized
                Data availability:
                ScienceOpen disciplines: Uncategorized

                Comments

                Comment on this article