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Prediction of carotid artery in-stentrestenosis by quantitative assessment ofvulnerable plaque using computed tomography
https://doi.org/10.24517/00026936
https://doi.org/10.24517/0002693669a07a8a-33d6-49d0-93d3-1f75c923fda0
| 名前 / ファイル | ライセンス | アクション |
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| Item type | 学術雑誌論文 / Journal Article(1) | |||||||||||||||||
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| 公開日 | 2017-10-05 | |||||||||||||||||
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| タイトル | Prediction of carotid artery in-stentrestenosis by quantitative assessment ofvulnerable plaque using computed tomography | |||||||||||||||||
| 言語 | ||||||||||||||||||
| 言語 | eng | |||||||||||||||||
| 資源タイプ | ||||||||||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||||||||||
| 資源タイプ | journal article | |||||||||||||||||
| ID登録 | ||||||||||||||||||
| ID登録 | 10.24517/00026936 | |||||||||||||||||
| ID登録タイプ | JaLC | |||||||||||||||||
| 著者 |
Misaki, Kouichi
× Misaki, Kouichi× Uchiyama, Naoyuki× Mohri, Masanao× Hayashi, Yutaka× Ueda, Fumiaki× Nakada, Mitsutoshi |
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| 著者別表示 |
見崎, 孝一
× 見崎, 孝一
× 内山, 尚之
× 毛利, 正直
× 林, 裕
× 植田, 文明
× 中田, 光俊
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| 書誌情報 |
Journal of Neuroradiology 巻 43, 号 1, p. 18-24, 発行日 2016-02-01 |
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| 収録物識別子タイプ | ISSN | |||||||||||||||||
| 収録物識別子 | 0150-9861 | |||||||||||||||||
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| 収録物識別子タイプ | NCID | |||||||||||||||||
| 収録物識別子 | AA0025864X | |||||||||||||||||
| DOI | ||||||||||||||||||
| 関連タイプ | isVersionOf | |||||||||||||||||
| 識別子タイプ | DOI | |||||||||||||||||
| 関連識別子 | 10.1016/j.neurad.2015.09.002 | |||||||||||||||||
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| 出版者 | Elsevier | |||||||||||||||||
| 抄録 | ||||||||||||||||||
| 内容記述タイプ | Abstract | |||||||||||||||||
| 内容記述 | Background and purpose To assess the relationship between plaque volume evaluated by multidetector computed tomographic angiography (MDCT) and in-stent restenosis (ISR) after carotid artery stenting (CAS). Materials and methods From a retrospectively maintained database, data were collected for 52 patients with carotid artery stenosis treated with CAS between 2007 and 2012. We defined ISR of ≥ 50% as a peak systolic velocity ≥ 200 cm/s on echo-duplex scan. Carotid plaques were subdivided into four components according to radiodensity in Hounsfield units (HU) as follows: < 0, 0–60, 60–130, and > 600 HU. Risk factors that influenced ISR were compared using univariate and multivariate Cox regression analyses. Results During a median follow-up period of 36 months, ISR of ≥ 50% was detected in five patients (9.6%). In the univariate Cox proportional hazard regression analysis, renal insufficiency, coronary artery disease, total plaque volume, and plaque volumes with radiodensities < 0 and ≥ 600 HU increased the risk for ISR (P < 0.10). When the significant risk factors determined from the univariate analysis were subjected to a multivariate analysis, only the volumes of the plaque components with radiodensities < 0 HU independently predicted the development of ISR (hazard ratio: 1.041; 95% confidence interval: 1.006–1.078; P = 0.021). Conclusion Our data suggest that the high volume of the plaque components with radiodensities < 0 HU was independently associated with the increased risk of ISR after CAS. Quantitative and qualitative tissue characterizations of carotid plaques using MDCT might be a useful predictive tool of the development of ISR. | |||||||||||||||||
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| 内容記述タイプ | Other | |||||||||||||||||
| 内容記述 | Embargo Period 12 months | |||||||||||||||||
| 権利 | ||||||||||||||||||
| 権利情報 | Copyright © 2016 Elsevier (CC-BY NC ND) | |||||||||||||||||
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| 出版タイプ | AM | |||||||||||||||||
| 出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||||||||||||||