The estimation of coronary artery calcium thickness by computed tomography angiography based on optical coherence tomography measurements.
Calcium computed tomography density
Calcium thickness
Coronary calcification
Coronary computed tomography angiography
Optical coherence tomography
Journal
Heart and vessels
ISSN: 1615-2573
Titre abrégé: Heart Vessels
Pays: Japan
ID NLM: 8511258
Informations de publication
Date de publication:
Nov 2023
Nov 2023
Historique:
received:
25
04
2023
accepted:
29
06
2023
medline:
26
9
2023
pubmed:
9
7
2023
entrez:
9
7
2023
Statut:
ppublish
Résumé
Optical coherence tomography (OCT) is recommended to be the most appropriate modality in assessing calcium thickness, however, it has limitations associated with infrared attenuation. Although coronary computed tomography angiography (CCTA) detects calcification, it has low resolution and hence not recommended to measure the calcium size. The aim of this study was to devise a simple algorithm to estimate calcium thickness based on the CCTA image. A total of 68 patients who had CCTA for suspected coronary artery disease and subsequently went on to have OCT were included in the study. 238 lesions of them divided into derivation and validation dataset at 2:1 ratio (47 patients with 159 lesions and 21 with 79, respectively) were analyzed. A new method was developed to estimate calcium thickness from the maximum CT density within the calcification and compared with calcium thickness measured by OCT. Maximum Calcium density and measured calcium-border CT density had a good correlation with a linear equation of y = 0.58x + 201 (r = 0.892, 95% CI 0.855-0.919, p < 0.001). The estimated calcium thickness derived from this equation showed strong agreement with measured calcium thickness in validation and derivation dataset (r
Identifiants
pubmed: 37422802
doi: 10.1007/s00380-023-02286-1
pii: 10.1007/s00380-023-02286-1
doi:
Substances chimiques
Calcium
SY7Q814VUP
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1305-1317Informations de copyright
© 2023. Springer Nature Japan KK, part of Springer Nature.
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