Neoatherosclerosis and Mural Thrombus Detection After Sirolimus-Eluting Stent Implantation
Autor: | Takumi Inoue, Masamichi Iwasaki, Akihide Konishi, Yu Taniguchi, Junya Shite, Noritoshi Hiranuma, Ryo Nishio, Toshiro Shinke, Hiroto Kinutani, Hirotoshi Hariki, Ken-ichi Hirata, Tsuyoshi Osue, Masayuki Nakagawa, Hiromasa Otake |
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Rok vydání: | 2014 |
Předmět: |
Neointima
medicine.medical_specialty Intimal hyperplasia medicine.diagnostic_test business.industry medicine.medical_treatment Stent Angioscopy General Medicine medicine.disease Thrombosis Optical coherence tomography Sirolimus medicine cardiovascular diseases Radiology Thrombus Cardiology and Cardiovascular Medicine business medicine.drug |
Zdroj: | Circulation Journal. 78:92-100 |
ISSN: | 1347-4820 1346-9843 |
DOI: | 10.1253/circj.cj-13-0374 |
Popis: | Background: Although both optical coherence tomography (OCT) and angioscopy are robust tools for detecting intrastent thrombi and neoatherosclerosis in vivo, whether OCT findings are comparable with angioscopy findings remains unclear. Methods and Results: 22 patients presenting with de novo lesions underwent 26 sirolimus-eluting stent (SES) implantations, with follow-up OCT and angioscopy at 10 months post-implantation for segmental assessment of the proximal, mid-, and distal SES segments (66 segments). The mean signal intensity index (signal intensity of the neointima/signal intensity of fibrous intimal hyperplasia) was quantified for angioscopically detected in-stent yellow and white segments. The detection rate for red thrombi was numerically higher with angioscopy than with OCT (17% vs. 9%; P=0.053). Angioscopically detected in-stent yellow segments were categorized into 3 OCT patterns: “high-attenuation tissue covering struts” (OCT-defined neoatherosclerosis), “high-attenuation tissue underneath struts,” and “low-attenuation and low-intensity tissue covering struts”; further, macrophage-like appearance was most frequently observed with OCT-defined neoatherosclerosis (56%, 6.3%, and 0%, respectively, P |
Databáze: | OpenAIRE |
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