Suppr超能文献

基于微波光谱法的非侵入性支架监测技术的离体评估和体内验证。

Ex vivo assessment and in vivo validation of non-invasive stent monitoring techniques based on microwave spectrometry.

机构信息

ICREC Research Program, Fundació Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol, Barcelona, Spain.

CIBER Cardiovascular, Instituto de Salud Carlos III, Madrid, Spain.

出版信息

Sci Rep. 2018 Oct 4;8(1):14808. doi: 10.1038/s41598-018-33254-9.

Abstract

Some conditions are well known to be directly associated with stent failure, including in-stent re-occlusion and stent fracture. Currently, identification of these high-risk conditions requires invasive and complex procedures. This study aims to assess microwave spectrometry (MWS) for monitoring stents non-invasively. Preliminary ex vivo data are presented to move to in vivo validation. Fifteen mice were assigned to receive subcutaneous stent implantations (n = 10) or sham operations (n = 5). MWS measurements were carried out at 0, 2, 4, 7, 14, 22, and 29 days of follow-up. Additionally, 5 stented animals were summited to micro-CT analyses at the same time points. At 29 days, 3 animals were included into a stent fracture subgroup and underwent a last MWS and micro-CT analysis. MWS was able to identify stent position and in-stent stenosis over time, also discerning significant differences from baseline measures (P < 0.001). Moreover, MWS identified fractured vs. non-fractured stents in vivo. Taken together, MWS emerges as a non-invasive, non-ionizing alternative for stent monitoring. MWS analysis clearly distinguished between in-stent stenosis and stent fracture phenomena.

摘要

有些情况众所周知与支架失败直接相关,包括支架内再闭塞和支架断裂。目前,识别这些高风险情况需要侵入性和复杂的程序。本研究旨在评估微波光谱(MWS)用于非侵入性监测支架。目前提出了初步的离体数据以推进体内验证。15 只小鼠被分配接受皮下支架植入(n=10)或假手术(n=5)。在 0、2、4、7、14、22 和 29 天的随访期间进行 MWS 测量。此外,在相同时间点对 5 只支架植入的动物进行了 micro-CT 分析。在 29 天,3 只动物被纳入支架断裂亚组,并进行了最后一次 MWS 和 micro-CT 分析。MWS 能够随时间识别支架位置和支架内狭窄,与基线测量值也有显著差异(P<0.001)。此外,MWS 在体内识别出断裂和非断裂支架。总之,MWS 作为一种非侵入性、非电离的支架监测替代方法出现。MWS 分析清楚地区分了支架内狭窄和支架断裂现象。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f9c/6172211/843280570c0f/41598_2018_33254_Fig1_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验