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Quantitative Blood Flow Assessment by Multiparameter Analysis of Indocyanine Green Video Angiography
https://asahikawa-med.repo.nii.ac.jp/records/6065
https://asahikawa-med.repo.nii.ac.jp/records/6065ce513681-6297-47e3-b734-7094b2f4b0e8
名前 / ファイル | ライセンス | アクション |
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Item type | 学位論文 / Thesis or Dissertation_02(1) | |||||
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公開日 | 2019-03-26 | |||||
タイトル | ||||||
タイトル | Quantitative Blood Flow Assessment by Multiparameter Analysis of Indocyanine Green Video Angiography | |||||
言語 | en | |||||
言語 | ||||||
言語 | jpn | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Flow assessment | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | FlowInsight | |||||
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主題Scheme | Other | |||||
主題 | Indocyanine green | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Quantitative | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Video angiography | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_46ec | |||||
資源タイプ | thesis | |||||
その他(別言語等)のタイトル | ||||||
その他のタイトル | インドシアニングリーンビデオ血管造影における、多パラメーターを用いた定量的血流解析 | |||||
著者 |
齊藤, 仁十
× 齊藤, 仁十 |
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著者 ローマ字 | ||||||
値 | Saito, Masato | |||||
書誌情報 |
World Neurosurg 号 116, p. e187-e193, 発行日 2018-08-01 |
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ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 1878-8750 | |||||
DOI | ||||||
識別子タイプ | DOI | |||||
関連識別子 | 10.1016/j.wneu.2018.04.148 | |||||
識別番号 その他 | ||||||
内容記述タイプ | Other | |||||
内容記述 | PMID:29729470 | |||||
学位授与番号 | ||||||
学位授与番号 | 10107B479 | |||||
学位名 | ||||||
学位名 | 博士(医学) | |||||
学位授与機関 | ||||||
学位授与機関名 | 旭川医科大学 | |||||
抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | BACKGROUND: \nMeasurements of quantitative blood flow are crucial during brain vascular surgery. Indocyanine green video angiography (ICG-VAG) is an accepted method of blood flow visualization; however, quantitative techniques have not yet been established. Thus, the aim of this study was to further develop ICG analysis for visualizing intraoperative flow changes. METHODS: \nWe conducted basic experiments and clinical investigations to establish a relationship between ICG-VAG and measured blood flow. We evaluated several parameters and identified optimal indicators that precisely reflect blood (or fluid) flow. Both in vitro and in vivo studies were performed to calculate the interval between baseline and the intensity peak (Grad) and to measure actual flow rate. RESULTS: \nGrad and actual flow rate showed good exponential correlation, with R2 values of 0.90 in vitro and 0.82 in vivo. In a representative patient (case 3), we performed intraoperative flow analysis using FlowInsight, which identified a marked elevation in Grad on the brain surface. Because this observation is predictive of brain hyperperfusion, we used these data to carefully manage blood pressure postoperatively. CONCLUSIONS: \nGrad is the optimum parameter for estimating flow conditions. Although ICG-VAG provides only visual profiles of blood circulation in the brain, this procedure has the potential to be widely used in clinical situations. ICG-based flow measurement can be used to identify normal and abnormal blood flow conditions, such as graft flow and vascular pathology. The novelty of this technique is that the fluorescence intensity of Grad enables surgeons to quantitatively measure real blood flow. |
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内容記述タイプ | Other | |||||
内容記述 | application/pdf | |||||
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内容記述タイプ | Other | |||||
内容記述 | application/pdf |