国际标准期刊号: ISSN:2167-7964

放射学组学杂志

开放获取

我们集团组织了 3000 多个全球系列会议 每年在美国、欧洲和美国举办的活动亚洲得到 1000 多个科学协会的支持 并出版了 700+ 开放获取期刊包含超过50000名知名人士、知名科学家担任编委会成员。

开放获取期刊获得更多读者和引用
700 种期刊 15,000,000 名读者 每份期刊 获得 25,000 多名读者

索引于
  • 哥白尼索引
  • 谷歌学术
  • 打开 J 门
  • Genamics 期刊搜索
  • 研究圣经
  • 电子期刊图书馆
  • 参考搜索
  • 哈姆达大学
  • 亚利桑那州EBSCO
  • OCLC-世界猫
  • SWB 在线目录
  • 虚拟生物学图书馆 (vifabio)
  • 普布隆斯
  • 日内瓦医学教育与研究基金会
  • ICMJE
分享此页面

抽象的

Neck CTA with Deformable Registration and Subtraction Method: Evaluation in Patients with Stents

Masahiro Higashi, Suzu Kanzaki, Yoshitaka Onishi, Mutsumi Adachi, Naomi Morita, Yoshiaki Morita, Tetsuya Fukuda, Naoaki Yamada, Tetsu Satow and Hiroaki Naito

Background and purpose: The evaluation of arterial lumen with severe calcification or stent is still challenging. The purpose of the present study was to assess the effectiveness of the new subtraction method for CTA in patients with carotid artery stents.

Materials and methods: A total of 35 consecutive neck CTA examinations in patients who had undergone carotid artery stent placement were selected for inclusion in this retrospective study. The CT scanner used was a 320-row MDCT system. The new subtraction method (global non-rigid registration and local rigid refinement subtraction) was used to obtain subtraction images. Two observers visually assessed the subtraction effect for the stents and for bone near the vertebral arteries using a 4-grade scale in order to compare the new subtraction method against the conventional subtraction method and DSA.

Results: The arterial lumen could be evaluated in 89% of the stent subtraction images and 100% of the bone subtraction images obtained using the new subtraction method, and the subtraction images were judged to be superior to those obtained using the conventional method. The stenosis ratios showed a high correlation with those obtained by DSA (r = 0.92).

Conclusion: The new subtraction method is effective in eliminating stents and bones and is also useful for assessing the arterial lumen after stent placement.

免责声明: 此摘要通过人工智能工具翻译,尚未经过审核或验证。