Quantitative analysis of intracoronary optical coherence tomography measurements of stent strut apposition and tissue coverage

2010 ◽  
Vol 141 (2) ◽  
pp. 151-156 ◽  
Author(s):  
Peter Barlis ◽  
Konstantinos Dimopoulos ◽  
Jun Tanigawa ◽  
Ewa Dzielicka ◽  
Giuseppe Ferrante ◽  
...  
2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
R Bhoite ◽  
H Jinnouchi ◽  
F Otsuka ◽  
Y Sato ◽  
A Sakamoto ◽  
...  

Abstract Background In many studies, struts coverage is defined as >0 mm of tissue overlying the stent struts by optical coherence tomography (OCT). However, this definition has never been validated using histology as the “gold standard”. The present study sought to assess the appropriate cut-off value of neointimal thickness of stent strut coverage by OCT using histology. Methods OCT imaging was performed on 39 human coronary arteries with stents from 25 patients at autopsy. A total of 165 cross-sectional images from 46 stents were co-registered with histology. The optimal cut-off value of strut coverage by OCT was determined. Strut coverage by histology was defined as endothelial cells with at least underlying two layers of smooth muscle cells. Considering the resolution of OCT is 10–20 μm, 3 different cut-off values (i.e. at ≥20, ≥40, and ≥60 μm) were assessed. Results A total of 2235 struts were evaluated by histology. Eventually, 1216 struts which were well-matched struts were analyzed in this study. By histology, uncovered struts were observed in 160 struts and covered struts were observed in 1056 struts. The broadly used definition of OCT-coverage which does not consider neointimal thickness yielded a poor specificity of 37.5% and high sensitivity 100%. Of 3 cut-off values, the cut-off value of >40 μm was more accurate as compared to >20 and >60 mm [sensitivity (99.3%), specificity (91.0%), positive predictive value (98.6%), and negative predictive value (95.6%)] Conclusion The most accurate cut-off value was ≥40 μm neointimal thickness by OCT in order to identify stent strut coverage validated by histology. Funding Acknowledgement Type of funding source: None


2018 ◽  
Vol 10 (1) ◽  
pp. 356 ◽  
Author(s):  
Bingyao Tan ◽  
Jacqueline Chua ◽  
Veluchamy Amutha Barathi ◽  
Mani Baskaran ◽  
Anita Chan ◽  
...  

Author(s):  
Zahra Turani ◽  
Emad Fatemizadeh ◽  
Tatiana Blumetti ◽  
Steven Daveluy ◽  
Ana F. Moraes ◽  
...  

2009 ◽  
Vol 2 (5) ◽  
pp. 437-444 ◽  
Author(s):  
Philip Moore ◽  
Peter Barlis ◽  
Jonathan Spiro ◽  
Gopal Ghimire ◽  
Michael Roughton ◽  
...  

Retina ◽  
2018 ◽  
Vol 38 (8) ◽  
pp. 1456-1463 ◽  
Author(s):  
Jinfeng Qu ◽  
Swetha Bindu Velaga ◽  
Amir H. Hariri ◽  
Muneeswar Gupta Nittala ◽  
Srinivas Sadda

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