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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Wiley
2019-01-01
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| Series: | Stroke Research and Treatment |
| Online Access: | http://dx.doi.org/10.1155/2019/7292304 |
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| author | Naoki Kato Vincent Prinz Julius Dengler Peter Vajkoczy |
| author_facet | Naoki Kato Vincent Prinz Julius Dengler Peter Vajkoczy |
| author_sort | Naoki Kato |
| collection | DOAJ |
| 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. |
| format | Article |
| id | doaj-art-486afc50d8de4c75800af02ffbb0e207 |
| institution | OA Journals |
| issn | 2090-8105 2042-0056 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
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| series | Stroke Research and Treatment |
| spelling | doaj-art-486afc50d8de4c75800af02ffbb0e2072025-08-20T02:38:01ZengWileyStroke Research and Treatment2090-81052042-00562019-01-01201910.1155/2019/72923047292304Blood Flow Assessment of Arteriovenous Malformations Using Intraoperative Indocyanine Green VideoangiographyNaoki Kato0Vincent Prinz1Julius Dengler2Peter Vajkoczy3Department of Neurosurgery, Charité Universitätsmedizin Berlin, GermanyDepartment of Neurosurgery, Charité Universitätsmedizin Berlin, GermanyDepartment of Neurosurgery, Charité Universitätsmedizin Berlin, GermanyDepartment of Neurosurgery, Charité Universitätsmedizin Berlin, GermanyIntraoperative 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.http://dx.doi.org/10.1155/2019/7292304 |
| spellingShingle | Naoki Kato Vincent Prinz Julius Dengler Peter Vajkoczy Blood Flow Assessment of Arteriovenous Malformations Using Intraoperative Indocyanine Green Videoangiography Stroke Research and Treatment |
| 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 |
| url | http://dx.doi.org/10.1155/2019/7292304 |
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