@article{oai:kanazawa-u.repo.nii.ac.jp:00026949,
 author = {見崎, 孝一 and 内山, 尚之 and 毛利, 正直 and 林, 裕 and 植田, 文明 and 中田, 光俊 and Misaki, Kouichi and Uchiyama, Naoyuki and Mohri, Masanao and Hayashi, Yutaka and Ueda, Fumiaki and Nakada, Mitsutoshi},
 issue = {1},
 journal = {Journal of Neuroradiology},
 month = {Feb},
 note = {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., Embargo Period 12 months},
 pages = {18--24},
 title = {Prediction of carotid artery in-stentrestenosis by quantitative assessment ofvulnerable plaque using computed tomography},
 volume = {43},
 year = {2016}
}