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Adoption of a new automated optical coherence tomography software to obtain a lipid plaque spread-out plot.
- Source :
- International Journal of Cardiovascular Imaging; Nov2021, Vol. 37 Issue 11, p3129-3135, 7p
- Publication Year :
- 2021
-
Abstract
- <bold>Purpose: </bold>Near infrared spectroscopy-Intravascular ultrasound (NIRS-IVUS) provide a fully automated Lipid Core Burden Index (LCBI). Optical coherence tomography (OCT) is potentially capable of measuring lipid longitudinal extension in a dedicated two-dimensional LCBI spread-out plot. The present study has been designed to validate an automated approach to assess OCT images, able of providing a dedicated LCBI spread-out plot.<bold>Methods: </bold>We compared results obtained with conventional (manual) OCT, with those obtained with a novel automated OCT algorithm and with NIRS-IVUS in consecutive 40 patients. Our goal was to calculate the lipid core longitudinal extension in a dedicated two-dimensional LCBI spread-out plot. Three groups were identified according to the studied lesions: (1) culprit lesions in ACS patients (n = 16), (2) non-culprit lesions in ACS patients (n = 12) and (3) lesions in stable patients (n = 12). OCT (either manual and automated) and NIRS-IVUS assessment showed for culprit ACS plaques a more complex anatomy.<bold>Results: </bold>A strong trend for increased LCBI was found in the culprit ACS group, regardless of the adopted imaging modality (either NIRS-IVUS or automated OCT). A fair correlation was obtained for the maximum 4 mm LCBI measured by NIRS-IVUS and automated OCT (r = 0.75). The sensitivity and specificity of automated OCT to detect significant LCBI (> 400) were 90.5 and 84.2 respectively.<bold>Conclusion: </bold>We developed an OCT automated approach that can provide a dedicated lipid plaque spread-out plot to address plaque vulnerability. The automated OCT software can promote and improve OCT clinical applications for the identification of patients at risk of hard events. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 15695794
- Volume :
- 37
- Issue :
- 11
- Database :
- Complementary Index
- Journal :
- International Journal of Cardiovascular Imaging
- Publication Type :
- Academic Journal
- Accession number :
- 153315473
- Full Text :
- https://doi.org/10.1007/s10554-021-02323-y