Automated identification of macrophages/foam cells clusters in coronary atherosclerotic plaques based on intravascular optical coherence tomography (IV-OCT) (Conference Presentation)

2018 ◽  
Author(s):  
Jose D. Rico-Jimenez ◽  
Daniel U. Campos-Delgado ◽  
Javier A. Jo
Keyword(s):  
Optical Coherence Tomography ◽  
Foam Cells ◽  
Atherosclerotic Plaques ◽  
Optical Coherence ◽  
Automated Identification ◽  
Intravascular Optical Coherence Tomography

P3576Histopathological validation of optical coherence tomography assessment for cholesterol crystals

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
A Tanaka ◽  
A Taruya ◽  
Y Katayama ◽  
T Akasaka ◽  
T Kondo
Keyword(s):  
Optical Coherence Tomography ◽  
Signal Intensity ◽  
High Specificity ◽  
High Signal Intensity ◽  
High Signal ◽  
Atherosclerotic Plaques ◽  
Optical Coherence ◽  
Cholesterol Crystals ◽  
Consensus Document ◽  
Intravascular Optical Coherence Tomography

Abstract Background Cholesterol crystals (CCs) are well recognized as one of important components of advanced atherosclerotic plaques. Whilethe consensus document for intravascular optical coherence tomography (OCT) has proposed that CCs are appeared as thin, linear regions of high-signal intensity within a plaque, no study has validated CCs assessment by OCT in comparison with histopathology. Purpose Thepurpose of this study was to validate OCT assessments of CCs with histopathology. Methods A total of 27 diseased coronary artery samples (10–20 mm length) were resected from 7 randomly selected cadavers. OCT imaging was performed for the samples. Then, arterial samples were fixed in 10% formalin for ≥48 hours, decalcified and processed for standard paraffin embedding. Sections 5μm thick were sliced at the ink-marked imaging sites and stained with hematoxylin and eosin, and Masson's Trichrome. An independent pathologist blinded to the OCT results diagnosed all of the plaques. Subsequently, the OCT images were interpreted by an observer blinded to the histological results. In the OCT assessment, CCs were defined as thin, linear regions of high-signal intensity within a plaque. Results We obtained 27 pairs of OCT/ histopathology. CCs were diagnosed by histology in 10 (37%) of the 27 pairs. The sensitivity and specificity of OCT for detecting CCs were 60% and 94%, respectively. Conclusion OCT has a high specificity but modest sensitivity for detection of CCs in comparison with histopathology. CCs diagnosed with OCT would help the identification of advanced atherosclerotic plaques. Acknowledgement/Funding JSPS KAKENHI 17K09557

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