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Blood Flow Assessment of Arteriovenous Malformations Using Intraoperative Indocyanine Green Videoangiography

Intraoperative indocyanine green (ICG) videoangiography is widely used in patients undergoing neurosurgery. FLOW800 is a recently developed analytical tool for ICG videoangiography to assess semi-quantitative flow dynamics; however, its efficacy is unknown. In this study, we evaluated its functional...

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Autores principales: Kato, Naoki, Prinz, Vincent, Dengler, Julius, Vajkoczy, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6441520/
https://www.ncbi.nlm.nih.gov/pubmed/31007890
http://dx.doi.org/10.1155/2019/7292304
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author Kato, Naoki
Prinz, Vincent
Dengler, Julius
Vajkoczy, Peter
author_facet Kato, Naoki
Prinz, Vincent
Dengler, Julius
Vajkoczy, Peter
author_sort Kato, Naoki
collection PubMed
description Intraoperative indocyanine green (ICG) videoangiography is widely used in patients undergoing neurosurgery. FLOW800 is a recently developed analytical tool for ICG videoangiography to assess semi-quantitative flow dynamics; however, its efficacy is unknown. In this study, we evaluated its functionality in the assessment of flow dynamics of arteriovenous malformation (AVM) through ICG videoangiography under clinical settings. ICG videoangiography was performed in the exposed AVM in eight patients undergoing surgery. FLOW800 analysis was applied directly, and gray-scale and color-coded maps of the surgical field were obtained. After surgery, a region of interest was placed on the individual vessels to obtain time-intensity curves. Parameters of flow dynamics, including the maximum intensity, transit time, and cerebral blood flow index, were calculated using the curves. The color-coded maps provided high-resolution images; however, reconstruction of colored images was restricted by the depth, approach angle, and brain swelling. Semi-quantitative parameters were similar among the feeders, niduses, and drainers. However, a higher cerebral blood flow index was observed in the feeders of large AVM (>3 cm) than in those of small AVM (P < 0.05). Similarly, the cerebral blood flow index values were positively correlated with the nidus volume (P < 0.01). FLOW800 enabled visualization of the AVM structure and safer resection, except in case of deep-seated AVM. Moreover, semi-quantitative values in the individual vessels through using ICG intensity diagram showed different patterns according to size of the AVM. ICG videoangiography showed good performance in evaluating flow dynamics of the AVM in patients undergoing surgery.
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spelling pubmed-64415202019-04-21 Blood Flow Assessment of Arteriovenous Malformations Using Intraoperative Indocyanine Green Videoangiography Kato, Naoki Prinz, Vincent Dengler, Julius Vajkoczy, Peter Stroke Res Treat Research Article Intraoperative indocyanine green (ICG) videoangiography is widely used in patients undergoing neurosurgery. FLOW800 is a recently developed analytical tool for ICG videoangiography to assess semi-quantitative flow dynamics; however, its efficacy is unknown. In this study, we evaluated its functionality in the assessment of flow dynamics of arteriovenous malformation (AVM) through ICG videoangiography under clinical settings. ICG videoangiography was performed in the exposed AVM in eight patients undergoing surgery. FLOW800 analysis was applied directly, and gray-scale and color-coded maps of the surgical field were obtained. After surgery, a region of interest was placed on the individual vessels to obtain time-intensity curves. Parameters of flow dynamics, including the maximum intensity, transit time, and cerebral blood flow index, were calculated using the curves. The color-coded maps provided high-resolution images; however, reconstruction of colored images was restricted by the depth, approach angle, and brain swelling. Semi-quantitative parameters were similar among the feeders, niduses, and drainers. However, a higher cerebral blood flow index was observed in the feeders of large AVM (>3 cm) than in those of small AVM (P < 0.05). Similarly, the cerebral blood flow index values were positively correlated with the nidus volume (P < 0.01). FLOW800 enabled visualization of the AVM structure and safer resection, except in case of deep-seated AVM. Moreover, semi-quantitative values in the individual vessels through using ICG intensity diagram showed different patterns according to size of the AVM. ICG videoangiography showed good performance in evaluating flow dynamics of the AVM in patients undergoing surgery. Hindawi 2019-03-17 /pmc/articles/PMC6441520/ /pubmed/31007890 http://dx.doi.org/10.1155/2019/7292304 Text en Copyright © 2019 Naoki Kato et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Kato, Naoki
Prinz, Vincent
Dengler, Julius
Vajkoczy, Peter
Blood Flow Assessment of Arteriovenous Malformations Using Intraoperative Indocyanine Green Videoangiography
title Blood Flow Assessment of Arteriovenous Malformations Using Intraoperative Indocyanine Green Videoangiography
title_full Blood Flow Assessment of Arteriovenous Malformations Using Intraoperative Indocyanine Green Videoangiography
title_fullStr Blood Flow Assessment of Arteriovenous Malformations Using Intraoperative Indocyanine Green Videoangiography
title_full_unstemmed Blood Flow Assessment of Arteriovenous Malformations Using Intraoperative Indocyanine Green Videoangiography
title_short Blood Flow Assessment of Arteriovenous Malformations Using Intraoperative Indocyanine Green Videoangiography
title_sort blood flow assessment of arteriovenous malformations using intraoperative indocyanine green videoangiography
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6441520/
https://www.ncbi.nlm.nih.gov/pubmed/31007890
http://dx.doi.org/10.1155/2019/7292304
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