Plaque burden can be assessed using intravascular optical coherence tomography and a dedicated automated processing algorithm: a comparison study with intravascular ultrasound Article Swipe
Édouard Gerbaud
,
Giora Weisz
,
Atsushi Tanaka
,
Romain Luu
,
Hany Osman
,
Grace Baldwin
,
Pierre Coste
,
Laurent Cognet
,
Sergio Waxman
,
Hui Zheng
,
Jeffrey W. Moses
,
Gary S Mintz
,
Takashi Akasaka
,
Akiko Maehara
,
Guillermo J. Tearney
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1093/ehjci/jez185
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1093/ehjci/jez185
Aims Plaque burden (PB) measurement using intravascular optical coherence tomography (IVOCT) is currently thought to be inferior to intravascular ultrasound (IVUS). We developed an automated IVOCT image processing algorithm to enhance the external elastic lamina (EEL) contour. Thus, we investigated the accuracies of standard IVOCT and an IVOCT enhancement algorithm for measuring PB using IVUS as the reference standard. Methods and results The EEL-enhancement algorithm combined adaptive attenuation compensation, exponentiation, angular registration, and image averaging using three sequential frames. In two different laboratories with intravascular imaging expertise, PB was quantified on 200 randomized, matched IVOCT and IVUS images by four independent observers. Fibroatheroma, fibrocalcific plaque, fibrous plaque, pathological intimal thickening (PIT), and mixed plaque were included in each set. Pearson’s correlation coefficients between IVUS and standard IVOCT measurements of PB were 0.61, 0.67, 0.76, 0.78, and 0.87 for fibroatheromas, mixed plaques, fibrocalcific plaques, fibrous plaques, and PIT plaques, respectively. Pearson’s correlation coefficients increased to 0.81, 0.83, 0.83, 0.84, and 0.90 when using the EEL-enhanced images (P = 0.003, P = 0.004, P = 0.08, P = 0.12, and P = 0.23, respectively). EEL-enhanced IVOCT analysis was associated with a lower EEL-area measurement absolute error for fibroatheromas, mixed plaques, and all pooled plaques (P = 0.006, P = 0.02, and P < 0.001, respectively). Compared with standard IVOCT, the EEL-enhanced IVOCT images had a higher sensitivity (79% vs. 28%, P < 0.001) and specificity (98% vs. 85%, P = 0.03) for plaques with an IVUS PB ≥70%. Conclusion EEL-enhanced IVOCT can be used to reliably measure PB in all types of coronary atherosclerotic lesions, including fibroatheromas and mixed plaques.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1093/ehjci/jez185
- OA Status
- green
- Cited By
- 25
- References
- 26
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2962713213
All OpenAlex metadata
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https://openalex.org/W2962713213Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1093/ehjci/jez185Digital Object Identifier
- Title
-
Plaque burden can be assessed using intravascular optical coherence tomography and a dedicated automated processing algorithm: a comparison study with intravascular ultrasoundWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2019Year of publication
- Publication date
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2019-07-10Full publication date if available
- Authors
-
Édouard Gerbaud, Giora Weisz, Atsushi Tanaka, Romain Luu, Hany Osman, Grace Baldwin, Pierre Coste, Laurent Cognet, Sergio Waxman, Hui Zheng, Jeffrey W. Moses, Gary S Mintz, Takashi Akasaka, Akiko Maehara, Guillermo J. TearneyList of authors in order
- Landing page
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https://doi.org/10.1093/ehjci/jez185Publisher landing page
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
- OA URL
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https://www.ncbi.nlm.nih.gov/pmc/articles/7237959Direct OA link when available
- Concepts
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Intravascular ultrasound, Optical coherence tomography, Medicine, Gold standard (test), Ultrasound, Biomedical engineering, Nuclear medicine, RadiologyTop concepts (fields/topics) attached by OpenAlex
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25Total citation count in OpenAlex
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2025: 2, 2024: 3, 2023: 3, 2022: 6, 2021: 5Per-year citation counts (last 5 years)
- References (count)
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26Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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