Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Effect of TCFA on Neointimal Coverage After PCI at 9 Months Follow-up

General Hospital of Chinese Armed Police Forces · 2014
ClinicalTrials.gov · Datasets · License: Public Domain · 2014
Open Source ↗
Although drug-eluting stents have reduced rates of restenosis and late lumen loss compared with bare metal stents, late stent thrombosis (LST), a life-threatening complication of this technology, has emerged as a major concern. Researches indicated incomplete neointimal coverage of stent struts as the most important morphometric predictor of LST. Pathological research showed stenting disruption of adjacent vulnerable plaques can precipitate LST, Meanwhile, thin-cap fibroatheromas (TCFA) as the most important predictor of Major Adverse Cardiovascular. Therefore, there is a hypothesis that TCFA may impair intimal healing which are prone to LST in vivo. Optical coherence tomography (OCT)is a high-resolution (\<10 µm), catheter-based imaging modality capable of investigating detailed coronary plaque morphology in vivo.This study aimed to observe that TCFA will arise what of the effect on intimal healing of stent struts on the lesions which fractional flow reserve (FFR)≤0.75 after EXCEL biodegradable polymer-coated sirolimus-eluting stent was implanted at 9 months follow up: evaluated by OCT and FFR
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 1057736
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive