Adoption of a new automated optical coherence tomography software to obtain a lipid plaque spread-out plot.
Intravascular ultrasound
Lipid core burden index
Optical coherence tomography
Vulnerable plaque
Journal
The international journal of cardiovascular imaging
ISSN: 1875-8312
Titre abrégé: Int J Cardiovasc Imaging
Pays: United States
ID NLM: 100969716
Informations de publication
Date de publication:
Nov 2021
Nov 2021
Historique:
received:
28
03
2021
accepted:
17
06
2021
pubmed:
23
7
2021
medline:
3
11
2021
entrez:
22
7
2021
Statut:
ppublish
Résumé
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. 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. 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. 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.
Identifiants
pubmed: 34292435
doi: 10.1007/s10554-021-02323-y
pii: 10.1007/s10554-021-02323-y
doi:
Substances chimiques
Lipids
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
3129-3135Informations de copyright
© 2021. The Author(s), under exclusive licence to Springer Nature B.V.
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