Comparison between 1300 nm and 800 nm OCT imaging of ex vivo human esophageal tissues

Author(s):  
Hyeon-Cheol Park ◽  
Cadman L. Leggett ◽  
Dawei Li ◽  
Kenneth K. Wang ◽  
Xingde Li
Keyword(s):  
Ex Vivo ◽  
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


2012 ◽  
Vol 3 (12) ◽  
pp. 3346 ◽  
Author(s):  
Ramona Cernat ◽  
Taran S. Tatla ◽  
Jingyin Pang ◽  
Paul J. Tadrous ◽  
Adrian Bradu ◽  
...  
Keyword(s):  
Ex Vivo ◽  

Author(s):  
Hiroyuki Jinnouchi ◽  
Fumiyuki Otsuka ◽  
Yu Sato ◽  
Rahul R. Bhoite ◽  
Atsushi Sakamoto ◽  
...  

Background: Struts have been considered as covered when tissue overlying the struts is >0 μm by optical coherence tomography (OCT). However, there is no confirmatory study to validate this definition by histology which is the gold standard. The aim of the present study was to assess the appropriate cutoff value of neointimal thickness of stent strut coverage by OCT with histology confirmation. Methods: We performed ex vivo OCT imaging of human coronary arteries with stents at autopsy. A total of 46 stents in 39 vessels from 25 patients were examined in this study, and a total of 165 cross-sectional images were co-registered with histology to determine the optimal cutoff value for strut coverage by OCT which was defined as luminal endothelial cells with 2 abluminal layers of smooth muscles cells and matrix. Considering the resolution of OCT is 10 to 20 μm, the cutoff values were assessed at ≥20, ≥40, and ≥60 μm. Results: A total of 2235 struts were reviewed by histology, 1216 were considered as well-matched struts which were analyzed in this study. By histology, 160 struts were identified as uncovered, while 1056 struts were covered. The OCT assessment without consideration of neointimal thickness yielded a poor specificity of 37.5% and sensitivity 100%. Of 3 cutoff values, the cutoff value of ≥40 μm yielded the best sensitivity (99.3%), specificity (91.0%), positive predictive value (98.6%), and negative predictive value (95.6%) as compared with ≥20 and ≥60 μm. Conclusions: Neointimal thickness ≥40 μm by OCT yielded the most accurate cutoff value to identify stent strut coverage validated by histology.


Author(s):  
Anik Duttaroy ◽  
Andrew Paek ◽  
Maristela Onozato ◽  
Bobak Shirmahamoodi ◽  
James Jiang ◽  
...  

2011 ◽  
Vol 2 (8) ◽  
pp. 2372 ◽  
Author(s):  
Nicusor Iftimia ◽  
Sevdenur Cizginer ◽  
Vikram Deshpande ◽  
Martha Pitman ◽  
Servet Tatli ◽  
...  

2016 ◽  
Author(s):  
Elizabeth A. Munro ◽  
David Rempel ◽  
Christine Danner ◽  
Yaaseen Atchia ◽  
Michael S. Valic ◽  
...  

2016 ◽  
Vol 20 (5) ◽  
pp. 607-613
Author(s):  
Yeh-Chan Ahn ◽  
Chulho Oak ◽  
Jung-Eun Park ◽  
Min-Jung Jung ◽  
Jae-Hun Kim ◽  
...  

2021 ◽  
Author(s):  
Aditi Sahu ◽  
Gary Peterson ◽  
Miguel Cordova ◽  
Yuna Oh ◽  
Cristian Navarrete-Dechent ◽  
...  

Abstract Conventional tissue sampling used in disease and cancer diagnosis can lead to misdiagnoses and repeated biopsies, and the tissue processed for histopathology suffers from poor nucleic acid quality/quantity for molecular profiling. Targeted micro-sampling of tissue can ensure accurate diagnosis and molecular profiling in the presence of spatial heterogeneity and complexity, especially in tumors, and facilitate acquisition of fresh tissue for molecular analysis. In this study, we explored the feasibility of a 1-mm precision biopsy approach guided by high-resolution reflectance confocal microscopy (RCM) and optical coherence tomography (OCT) imaging, and reflective metallic grids for accurate spatial targeting and sampling in 7 skin cancers lesions in 6 patients. Accurate sampling was confirmed by histopathology or successful molecular profiling using next generation sequencing (NGS) approaches. Imaging guided 1-mm biopsy enabled spatial targeting and sampling for in vivo diagnosis, feature correlation and predicted depth as confirmed on histopathology. High DNA quantity (680 ng) and quality (DIN: 8) were obtained from imaging-guided high melanoma cell density areas. Subsequent mutational profiling on a 505-gene panel revealed a missense BRAF V600E oncogenic mutations at 0.02 allelic frequency for guiding therapy. Our findings demonstrate accurate sampling of regions of interest that enables downstream diagnosis, molecular analysis and research in both in vivo and ex vivo settings with broad diagnostic, therapeutic and research potential in dermatological and mucosal settings currently accessible to RCM-OCT imaging.


2001 ◽  
Author(s):  
Constantinos Pitris ◽  
Tony H. Ko ◽  
Wolfgang Drexler ◽  
Ravi K. Ghanta ◽  
Xing D. Li ◽  
...  

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