SU-E-I-90: Fast and Robust Algorithm Towards Vessel Lumen and Stent Strut Detection in Optical Coherence Tomography

2012 ◽  
Vol 39 (6Part5) ◽  
pp. 3645-3646 ◽  
Author(s):  
K Mandelias ◽  
S Tsantis ◽  
D Karnabatidis ◽  
P Katsakiori ◽  
D Mihailidis ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Optical Coherence ◽  
Robust Algorithm ◽  
Vessel Lumen ◽  
Stent Strut

Automatic vessel lumen segmentation and stent strut detection in intravascular optical coherence tomography

2011 ◽  
Vol 39 (1) ◽  
pp. 503-513 ◽  
Author(s):  
Stavros Tsantis ◽  
George C. Kagadis ◽  
Konstantinos Katsanos ◽  
Dimitris Karnabatidis ◽  
George Bourantas ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Optical Coherence ◽  
Vessel Lumen ◽  
Lumen Segmentation ◽  
Stent Strut ◽  
Intravascular Optical Coherence Tomography

Ex Vivo assessment of competent strut coverage after coronary stenting by optical coherence tomography

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
R Bhoite ◽  
H Jinnouchi ◽  
F Otsuka ◽  
Y Sato ◽  
A Sakamoto ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Predictive Value ◽  
Ex Vivo ◽  
High Sensitivity ◽  
Optical Coherence ◽  
Cross Sectional ◽  
Neointimal Thickness ◽  
Stent Strut ◽  
Oct Imaging ◽  
Definition Of

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

scholarly journals A Randomized Optical Coherence Tomography Study of Coronary Stent Strut Coverage and Luminal Protrusion With Rapamycin-Eluting Stents

2009 ◽  
Vol 2 (5) ◽  
pp. 437-444 ◽  
Author(s):  
Philip Moore ◽  
Peter Barlis ◽  
Jonathan Spiro ◽  
Gopal Ghimire ◽  
Michael Roughton ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Coronary Stent ◽  
Optical Coherence ◽  
Stent Strut

107Diagnostic accuracy of optical coherence tomography for the identification of in-stent fibroatheroma following stent implantation: an ex-vivo histological validation study

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
H Shibutani ◽  
K Fujii ◽  
R Kawakami ◽  
T Imanaka ◽  
K Kawai ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Cross Sections ◽  
Stent Implantation ◽  
Predictive Value ◽  
Signal Intensity ◽  
Necrotic Core ◽  
Optical Coherence ◽  
Low Intensity ◽  
Stent Strut ◽  
Histological Images

Abstract Background Previous histopathological studies have demonstrated that new atherosclerotic formation within the neointima, called neoatherosclerosis, is one of the most important mechanisms leading to both very late in-stent restenosis and stent thrombosis after stent implantation. Therefore, to distinguish lipid-containing atherosclerotic neointima from other tissues using intracoronary imaging modalities is clinically important to prevent late stent failures. Purpose This study evaluated the diagnostic performance of optical coherence tomography (OCT) for the detection of “in-stent fibroatheroma” following stent implantation by comparing cross-sections of the model with the corresponding histological images. Methods Fifty stented coronary arteries from the 31 autopsy hearts were imaged by OCT. Coronary arterial histopathological specimens, all of which included more than 30% of %neointimal hyperplasia, were compared with the corresponding OCT cross-sections. Histological in-stent fibroatheroma was defined as neointima containing large necrotic core and inflammatory cells. OCT-derived in-stent fibroatheroma comprised a low-intensity tissue containing a poorly delineated region with invisible stent strut behind low signal intensity. Results A total of 122 OCT cross-sections were compared with histological images. OCT examination revealed that 24 images (20%) contained low-intensity tissue inside the neointima. Of those, 5 images, in which stent strut behind low signal intensity was invisible, were diagnosed as OCT-derived in-stent fibroatheroma (4%) (Figure A). By histological analysis, only 4 images were classified as in-stent fibroatheroma (3%) (Figure B). With histology as the gold standard, the sensitivity, specificity, positive predictive value, negative predictive value, and overall diagnostic accuracy for OCT-derived in-stent fibroatheroma were 100%, 99%, 80%, 100%, and 99%, respectively. The only histological finding underlying the false-positive-diagnosis of OCT-derived in-stent fibroatheroma was foam cells accumulation without necrotic core on the neointimal surface (Figure C and D). Most tissue that showed low-intensity tissue with visible stent strut by OCT contained proteoglycan matrix and organized thrombus in the absence of an underlying necrotic core. Coregistration of OCT with histology Conclusion This study showed the potential capability of OCT based on the visualization of stent struts behind low-intensity regions for discriminating in-stent fibroatheroma from other neointimal tissues following stent implantation.

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 ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Quantitative Analysis ◽  
Optical Coherence ◽  
Stent Strut

scholarly journals Impact of Age on Stent Strut Coverage and Neointimal Remodeling as Assessed by Optical Coherence Tomography

Medicine ◽  
2015 ◽  
Vol 94 (50) ◽  
pp. e2246 ◽  
Author(s):  
Zhigang Han ◽  
Linxing Feng ◽  
Hongwei Du ◽  
Zhao Sun ◽  
Sining Hu ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Optical Coherence ◽  
Stent Strut

scholarly journals Short-term stent strut coverage: optical coherence tomography vs high-definition intravascular ultrasound

2021 ◽  
Author(s):  
Magdalena Dobrolińska ◽  
Paweł Gąsior ◽  
Tomasz Roleder ◽  
Andrzej Ochała ◽  
Wojciech Wojakowski
Keyword(s):  
Optical Coherence Tomography ◽  
Intravascular Ultrasound ◽  
Optical Coherence ◽  
High Definition ◽  
Short Term ◽  
Stent Strut
Sign in / Sign up

Export Citation Format

Share Document