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      The second window ICG technique demonstrates a broad plateau period for near infrared fluorescence tumor contrast in glioblastoma

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          Abstract

          Introduction

          Fluorescence-guided surgery has emerged as a powerful tool to detect, localize and resect tumors in the operative setting. Our laboratory has pioneered a novel way to administer an FDA-approved near-infrared (NIR) contrast agent to help surgeons with this task. This technique, coined Second Window ICG, exploits the natural permeability of tumor vasculature and its poor clearance to deliver high doses of indocyanine green (ICG) to tumors. This technique differs substantially from established ICG video angiography techniques that visualize ICG within minutes of injection. We hypothesized that Second Window ICG can provide NIR optical contrast with good signal characteristics in intracranial brain tumors over a longer period of time than previously appreciated with ICG video angiography alone. We tested this hypothesis in an intracranial mouse glioblastoma model, and corroborated this in a human clinical trial.

          Methods

          Intracranial tumors were established in 20 mice using the U251-Luc-GFP cell line. Successful grafts were confirmed with bioluminescence. Intravenous tail vein injections of 5.0 mg/kg (high dose) or 2.5 mg/kg (low dose) ICG were performed. The Perkin Elmer IVIS Spectrum (closed field) was used to visualize NIR fluorescence signal at seven delayed time points following ICG injection. NIR signals were quantified using LivingImage software. Based on the success of our results, human subjects were recruited to a clinical trial and intravenously injected with high dose 5.0 mg/kg. Imaging was performed with the VisionSense Iridium (open field) during surgery one day after ICG injection.

          Results

          In the murine model, the NIR signal-to-background ratio (SBR) in gliomas peaks at one hour after infusion, then plateaus and remains strong and stable for at least 48 hours. Higher dose 5.0 mg/kg improves NIR signal as compared to lower dose at 2.5 mg/kg (SBR = 3.5 vs. 2.8; P = 0.0624). Although early (≤ 6 hrs) visualization of the Second Window ICG accumulation in gliomas is stronger than late (≥24 hrs) visualization (SBR = 3.94 vs. 2.32; p<0.05) there appears to be a long plateau period of stable ICG NIR signal accumulation within tumors in the murine model. We call this long plateau period the “Second Window” of ICG. In glioblastoma patients, the delayed visualization of intratumoral NIR signal was strong (SBR 7.50 ± 0.74), without any significant difference within the 19 to 30 hour visualization window (R 2 = 0.019).

          Conclusion

          The Second Window ICG technique allows neurosurgeons to deliver NIR optical contrast agent to human glioblastoma patients, thus providing real-time tumor identification in the operating room. This nonspecific tumor accumulation of ICG within the tumor provides strong signal to background contrast, and is not significantly time dependent between 6 hours to 48 hours, providing a broad plateau for stable visualization. This finding suggests that optimal imaging of the “Second Window of ICG” may be within this plateau period, thus providing signal uniformity across subjects.

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          Most cited references17

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          Indocyanine green: observations on its physical properties, plasma decay, and hepatic extraction.

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            Impact of extent of resection for recurrent glioblastoma on overall survival: clinical article.

            Extent of resection (EOR) has been shown to be an important prognostic factor for survival in patients undergoing initial resection of glioblastoma (GBM), but the significance of EOR at repeat craniotomy for recurrence remains unclear. In this study the authors investigate the impact of EOR at initial and repeat resection of GBM on overall survival. Medical records were reviewed for all patients undergoing craniotomy for GBM at the University of California San Francisco Medical Center from January 1, 2005, through August 15, 2009. Patients who had a second craniotomy for pathologically confirmed recurrence following radiation and chemotherapy were evaluated. Volumetric EOR was measured and classified as gross-total resection (GTR, > 95% by volume) or subtotal resection (STR, ≤ 95% by volume) after independent radiological review. Overall survival was compared between groups using univariate and multivariate analysis accounting for known prognostic factors, including age, eloquent location, Karnofsky Performance Status (KPS), and adjuvant therapies. Multiple resections were performed in 107 patients. Fifty-two patients had initial GTR, of whom 31 (60%) had GTR at recurrence, with a median survival of 20.4 months (standard error [SE] 1.0 months), and 21 (40%) had STR at recurrence, with a median survival of 18.4 months (SE 0.5 months) (difference not statistically significant). Initial STR was performed in 55 patients, of whom 26 (47%) had GTR at recurrence, with a median survival of 19.0 months (SE 1.2 months), and 29 (53%) had STR, with a median survival of 15.9 months (SE 1.2 months) (p = 0.004). A Cox proportional hazards model was constructed demonstrating that age (HR 1.03, p = 0.004), KPS score at recurrence (HR 2.4, p = 0.02), and EOR at repeat resection (HR 0.62, p = 0.02) were independent predictors of survival. Extent of initial resection was not a statistically significant factor (p = 0.13) when repeat EOR was included in the model, suggesting that GTR at second craniotomy could overcome the effect of an initial STR. Extent of resection at recurrence is an important predictor of overall survival. If GTR is achieved at recurrence, overall survival is maximized regardless of initial EOR, suggesting that patients with initial STR may benefit from surgery with a GTR at recurrence.
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              Intraoperative near-infrared imaging can identify pulmonary nodules.

              Over 80,000 people undergo pulmonary resection for a lung nodule in the United States each year. Small nodules are frequently missed or difficult to find despite preoperative imaging. We hypothesized that near-infrared (NIR) imaging technology could be used to identify and locate lung nodules during surgery.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Data curationRole: InvestigationRole: MethodologyRole: Validation
                Role: Data curationRole: Formal analysisRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: InvestigationRole: Methodology
                Role: InvestigationRole: Project administrationRole: SupervisionRole: Writing – review & editing
                Role: Funding acquisitionRole: InvestigationRole: MethodologyRole: Supervision
                Role: InvestigationRole: Methodology
                Role: Data curation
                Role: ConceptualizationRole: ResourcesRole: SupervisionRole: ValidationRole: Writing – review & editing
                Role: ResourcesRole: Supervision
                Role: ConceptualizationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: Project administrationRole: ResourcesRole: SupervisionRole: ValidationRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                24 July 2017
                2017
                : 12
                : 7
                : e0182034
                Affiliations
                [1 ] Department of Neurosurgery, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
                [2 ] Center for Precision Surgery, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
                [3 ] Department of Radiation Oncology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
                [4 ] Department of Surgery, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
                [5 ] Department of Pathology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
                Stanford University, UNITED STATES
                Author notes

                Competing Interests: JYKL holds stock options in VisionSense. There are no patents over technologies in this manuscript. This does not alter our adherence to PLOS ONE policies on sharing data and materials.

                Author information
                http://orcid.org/0000-0002-0293-7150
                Article
                PONE-D-17-12781
                10.1371/journal.pone.0182034
                5524327
                28738091
                e0bee9b4-4792-4d5c-83d8-eebc46d52b9a
                © 2017 Zeh et al

                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
                : 1 April 2017
                : 11 July 2017
                Page count
                Figures: 4, Tables: 2, Pages: 16
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: CA193556
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100007929, Institute for Translational Medicine and Therapeutics;
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100006108, National Center for Advancing Translational Sciences;
                Award ID: UL1TR000003
                Award Recipient :
                Supported in part by the National Institutes of Health R01 CA193556 (SS), and the Institute for Translational Medicine and Therapeutics of the Perelman School of Medicine at the University of Pennsylvania (JYKL). In addition, research reported in this publication was supported by the National Center for Advancing Translational Sciences of the National Institutes of Health under Award Number UL1TR000003 (JKYL). The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Research and Analysis Methods
                Spectrum Analysis Techniques
                Infrared Spectroscopy
                near-Infrared Spectroscopy
                Research and Analysis Methods
                Experimental Organism Systems
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