Cargando…

Direct Comparison of Virtual-Histology Intravascular Ultrasound and Optical Coherence Tomography Imaging for Identification of Thin-Cap Fibroatheroma

Although rupture of thin-cap fibroatheroma (TCFA) underlies most myocardial infarctions, reliable TCFA identification remains challenging. Virtual-histology intravascular ultrasound (VH-IVUS) and optical coherence tomography (OCT) can assess tissue composition and classify plaques. However, direct c...

Descripción completa

Detalles Bibliográficos
Autores principales: Brown, Adam J., Obaid, Daniel R., Costopoulos, Charis, Parker, Richard A., Calvert, Patrick A., Teng, Zhongzhao, Hoole, Stephen P., West, Nick E.J., Goddard, Martin, Bennett, Martin R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4596008/
https://www.ncbi.nlm.nih.gov/pubmed/26429760
http://dx.doi.org/10.1161/CIRCIMAGING.115.003487
_version_ 1782393708371509248
author Brown, Adam J.
Obaid, Daniel R.
Costopoulos, Charis
Parker, Richard A.
Calvert, Patrick A.
Teng, Zhongzhao
Hoole, Stephen P.
West, Nick E.J.
Goddard, Martin
Bennett, Martin R.
author_facet Brown, Adam J.
Obaid, Daniel R.
Costopoulos, Charis
Parker, Richard A.
Calvert, Patrick A.
Teng, Zhongzhao
Hoole, Stephen P.
West, Nick E.J.
Goddard, Martin
Bennett, Martin R.
author_sort Brown, Adam J.
collection PubMed
description Although rupture of thin-cap fibroatheroma (TCFA) underlies most myocardial infarctions, reliable TCFA identification remains challenging. Virtual-histology intravascular ultrasound (VH-IVUS) and optical coherence tomography (OCT) can assess tissue composition and classify plaques. However, direct comparisons between VH-IVUS and OCT are lacking and it remains unknown whether combining these modalities improves TCFA identification. METHODS AND RESULTS—: Two hundred fifty-eight regions-of-interest were obtained from autopsied human hearts, with plaque composition and classification assessed by histology and compared with coregistered ex vivo VH-IVUS and OCT. Sixty-seven regions-of-interest were classified as fibroatheroma on histology, with 22 meeting criteria for TCFA. On VH-IVUS, plaque (10.91±4.82 versus 8.42±4.57 mm(2); P=0.01) and necrotic core areas (1.59±0.99 versus 1.03±0.85 mm(2); P=0.02) were increased in TCFA versus other fibroatheroma. On OCT, although minimal fibrous cap thickness was similar (71.8±44.1 μm versus 72.6±32.4; P=0.30), the number of continuous frames with fibrous cap thickness ≤85 μm was higher in TCFA (6.5 [1.75–11.0] versus 2.0 [0.0–7.0]; P=0.03). Maximum lipid arc on OCT was an excellent discriminator of fibroatheroma (area under the curve, 0.92; 95% confidence interval, 0.87–0.97) and TCFA (area under the curve, 0.86; 95% confidence interval, 0.81–0.92), with lipid arc ≥80° the optimal cut-off value. Using existing criteria, the sensitivity, specificity, and diagnostic accuracy for TCFA identification was 63.6%, 78.1%, and 76.5% for VH-IVUS and 72.7%, 79.8%, and 79.0% for OCT. Combining VH-defined fibroatheroma and fibrous cap thickness ≤85 μm over 3 continuous frames improved TCFA identification, with diagnostic accuracy of 89.0%. CONCLUSIONS—: Both VH-IVUS and OCT can reliably identify TCFA, although OCT accuracy may be improved using lipid arc ≥80° and fibrous cap thickness ≤85 μm over 3 continuous frames. Combined VH-IVUS/OCT imaging markedly improved TCFA identification.
format Online
Article
Text
id pubmed-4596008
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher Lippincott Williams & Wilkins
record_format MEDLINE/PubMed
spelling pubmed-45960082015-11-02 Direct Comparison of Virtual-Histology Intravascular Ultrasound and Optical Coherence Tomography Imaging for Identification of Thin-Cap Fibroatheroma Brown, Adam J. Obaid, Daniel R. Costopoulos, Charis Parker, Richard A. Calvert, Patrick A. Teng, Zhongzhao Hoole, Stephen P. West, Nick E.J. Goddard, Martin Bennett, Martin R. Circ Cardiovasc Imaging Original Articles Although rupture of thin-cap fibroatheroma (TCFA) underlies most myocardial infarctions, reliable TCFA identification remains challenging. Virtual-histology intravascular ultrasound (VH-IVUS) and optical coherence tomography (OCT) can assess tissue composition and classify plaques. However, direct comparisons between VH-IVUS and OCT are lacking and it remains unknown whether combining these modalities improves TCFA identification. METHODS AND RESULTS—: Two hundred fifty-eight regions-of-interest were obtained from autopsied human hearts, with plaque composition and classification assessed by histology and compared with coregistered ex vivo VH-IVUS and OCT. Sixty-seven regions-of-interest were classified as fibroatheroma on histology, with 22 meeting criteria for TCFA. On VH-IVUS, plaque (10.91±4.82 versus 8.42±4.57 mm(2); P=0.01) and necrotic core areas (1.59±0.99 versus 1.03±0.85 mm(2); P=0.02) were increased in TCFA versus other fibroatheroma. On OCT, although minimal fibrous cap thickness was similar (71.8±44.1 μm versus 72.6±32.4; P=0.30), the number of continuous frames with fibrous cap thickness ≤85 μm was higher in TCFA (6.5 [1.75–11.0] versus 2.0 [0.0–7.0]; P=0.03). Maximum lipid arc on OCT was an excellent discriminator of fibroatheroma (area under the curve, 0.92; 95% confidence interval, 0.87–0.97) and TCFA (area under the curve, 0.86; 95% confidence interval, 0.81–0.92), with lipid arc ≥80° the optimal cut-off value. Using existing criteria, the sensitivity, specificity, and diagnostic accuracy for TCFA identification was 63.6%, 78.1%, and 76.5% for VH-IVUS and 72.7%, 79.8%, and 79.0% for OCT. Combining VH-defined fibroatheroma and fibrous cap thickness ≤85 μm over 3 continuous frames improved TCFA identification, with diagnostic accuracy of 89.0%. CONCLUSIONS—: Both VH-IVUS and OCT can reliably identify TCFA, although OCT accuracy may be improved using lipid arc ≥80° and fibrous cap thickness ≤85 μm over 3 continuous frames. Combined VH-IVUS/OCT imaging markedly improved TCFA identification. Lippincott Williams & Wilkins 2015-10 2015-10-20 /pmc/articles/PMC4596008/ /pubmed/26429760 http://dx.doi.org/10.1161/CIRCIMAGING.115.003487 Text en © 2015 The Authors. Circulation: Cardiovascular Imaging is published on behalf of the American Heart Association, Inc., by Wolters Kluwer. This is an open access article under the terms of the Creative Commons Attribution (https://creativecommons.org/licenses/by/3.0/) License, which permits use, distribution, and reproduction in any medium, provided that the original work is properly cited.
spellingShingle Original Articles
Brown, Adam J.
Obaid, Daniel R.
Costopoulos, Charis
Parker, Richard A.
Calvert, Patrick A.
Teng, Zhongzhao
Hoole, Stephen P.
West, Nick E.J.
Goddard, Martin
Bennett, Martin R.
Direct Comparison of Virtual-Histology Intravascular Ultrasound and Optical Coherence Tomography Imaging for Identification of Thin-Cap Fibroatheroma
title Direct Comparison of Virtual-Histology Intravascular Ultrasound and Optical Coherence Tomography Imaging for Identification of Thin-Cap Fibroatheroma
title_full Direct Comparison of Virtual-Histology Intravascular Ultrasound and Optical Coherence Tomography Imaging for Identification of Thin-Cap Fibroatheroma
title_fullStr Direct Comparison of Virtual-Histology Intravascular Ultrasound and Optical Coherence Tomography Imaging for Identification of Thin-Cap Fibroatheroma
title_full_unstemmed Direct Comparison of Virtual-Histology Intravascular Ultrasound and Optical Coherence Tomography Imaging for Identification of Thin-Cap Fibroatheroma
title_short Direct Comparison of Virtual-Histology Intravascular Ultrasound and Optical Coherence Tomography Imaging for Identification of Thin-Cap Fibroatheroma
title_sort direct comparison of virtual-histology intravascular ultrasound and optical coherence tomography imaging for identification of thin-cap fibroatheroma
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4596008/
https://www.ncbi.nlm.nih.gov/pubmed/26429760
http://dx.doi.org/10.1161/CIRCIMAGING.115.003487
work_keys_str_mv AT brownadamj directcomparisonofvirtualhistologyintravascularultrasoundandopticalcoherencetomographyimagingforidentificationofthincapfibroatheroma
AT obaiddanielr directcomparisonofvirtualhistologyintravascularultrasoundandopticalcoherencetomographyimagingforidentificationofthincapfibroatheroma
AT costopouloscharis directcomparisonofvirtualhistologyintravascularultrasoundandopticalcoherencetomographyimagingforidentificationofthincapfibroatheroma
AT parkerricharda directcomparisonofvirtualhistologyintravascularultrasoundandopticalcoherencetomographyimagingforidentificationofthincapfibroatheroma
AT calvertpatricka directcomparisonofvirtualhistologyintravascularultrasoundandopticalcoherencetomographyimagingforidentificationofthincapfibroatheroma
AT tengzhongzhao directcomparisonofvirtualhistologyintravascularultrasoundandopticalcoherencetomographyimagingforidentificationofthincapfibroatheroma
AT hoolestephenp directcomparisonofvirtualhistologyintravascularultrasoundandopticalcoherencetomographyimagingforidentificationofthincapfibroatheroma
AT westnickej directcomparisonofvirtualhistologyintravascularultrasoundandopticalcoherencetomographyimagingforidentificationofthincapfibroatheroma
AT goddardmartin directcomparisonofvirtualhistologyintravascularultrasoundandopticalcoherencetomographyimagingforidentificationofthincapfibroatheroma
AT bennettmartinr directcomparisonofvirtualhistologyintravascularultrasoundandopticalcoherencetomographyimagingforidentificationofthincapfibroatheroma