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  1. G. 附属病院
  2. g 10. 学術雑誌掲載論文
  3. 1. 査読済論文

Prediction of carotid artery in-stentrestenosis by quantitative assessment ofvulnerable plaque using computed tomography

https://doi.org/10.24517/00026936
https://doi.org/10.24517/00026936
69a07a8a-33d6-49d0-93d3-1f75c923fda0
名前 / ファイル ライセンス アクション
HO-PR-MISAKI-K-18.pdf HO-PR-MISAKI-K-18.pdf (524.0 kB)
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Item type 学術雑誌論文 / Journal Article(1)
公開日 2017-10-05
タイトル
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

WEKO 582
e-Rad 20507082
金沢大学研究者情報 20507082
研究者番号 20507082

Misaki, Kouichi

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Uchiyama, Naoyuki

× Uchiyama, Naoyuki

WEKO 538
e-Rad 80293364
金沢大学研究者情報 80293364
研究者番号 80293364

Uchiyama, Naoyuki

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Mohri, Masanao

× Mohri, Masanao

WEKO 704
金沢大学研究者情報 60377413
研究者番号 60377413

Mohri, Masanao

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Hayashi, Yutaka

× Hayashi, Yutaka

WEKO 11685
e-Rad 90262568
研究者番号 90262568

Hayashi, Yutaka

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Ueda, Fumiaki

× Ueda, Fumiaki

WEKO 24599
e-Rad 80293356
研究者番号 80293356

Ueda, Fumiaki

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Nakada, Mitsutoshi

× Nakada, Mitsutoshi

WEKO 154
金沢大学研究者情報 20334774
研究者番号 20334774

Nakada, Mitsutoshi

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著者別表示 見崎, 孝一

× 見崎, 孝一

見崎, 孝一

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内山, 尚之

× 内山, 尚之

内山, 尚之

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毛利, 正直

× 毛利, 正直

毛利, 正直

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林, 裕

× 林, 裕

林, 裕

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植田, 文明

× 植田, 文明

植田, 文明

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中田, 光俊

× 中田, 光俊

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
ISSN
収録物識別子タイプ ISSN
収録物識別子 0150-9861
NCID
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
出版者
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.
内容記述
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)
著者版フラグ
出版タイプ AM
出版タイプResource http://purl.org/coar/version/c_ab4af688f83e57aa
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