Comparison of visual assessment and computer image analysis of intracoronary thrombus type by optical coherence tomography.

BACKGROUND:Analysis of intracoronary thrombus type by optical coherence tomography (OCT) imaging is highly subjective. We aimed to compare a newly developed image analysis method to subjective visual classification of thrombus type identified by OCT. METHODS:Thirty patients with acute ST elevation m...

Full description

Bibliographic Details
Main Authors: Timo P Kaivosoja, Shengnan Liu, Jouke Dijkstra, Heini Huhtala, Tej Sheth, Olli A Kajander
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2018-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0209110
_version_ 1819016590833745920
author Timo P Kaivosoja
Shengnan Liu
Jouke Dijkstra
Heini Huhtala
Tej Sheth
Olli A Kajander
author_facet Timo P Kaivosoja
Shengnan Liu
Jouke Dijkstra
Heini Huhtala
Tej Sheth
Olli A Kajander
author_sort Timo P Kaivosoja
collection DOAJ
description BACKGROUND:Analysis of intracoronary thrombus type by optical coherence tomography (OCT) imaging is highly subjective. We aimed to compare a newly developed image analysis method to subjective visual classification of thrombus type identified by OCT. METHODS:Thirty patients with acute ST elevation myocardial infarction were included. Thrombus type visually classified by two independent readers was compared with analysis using QCU-CMS software. RESULTS:Repeatability of the computer-based measurements was good. By using a ROC, area under curve values for discrimination of white and red thrombi were 0.92 (95% confidence intervals (CI) 0.83-1.00) for median attenuation, 0.96 (95% CI 0.89-1.00) for mean backscatter and 0.96 (95% CI 0.89-1.00) for mean grayscale intensity. Median attenuation of 0.57 mm-1 (sensitivity 100%, specificity 71%), mean backscatter of 5.35 (sensitivity 92%, specificity 94%) and mean grayscale intensity of 120.1 (sensitivity 85%, specificity 100%) were identified as the best cut-off values to differentiate between red and white thrombi. CONCLUSIONS:Attenuation, backscatter and grayscale intensity of thrombi in OCT images differentiated red and white thrombi with high sensitivity and specificity. Measurement of these continuous parameters can be used as a less user-dependent method to characterize in vivo thrombi. The clinical significance of these findings needs to be tested in further studies.
first_indexed 2024-12-21T02:50:03Z
format Article
id doaj.art-45b73619e80e4db0afe2a15c1090dbc5
institution Directory Open Access Journal
issn 1932-6203
language English
last_indexed 2024-12-21T02:50:03Z
publishDate 2018-01-01
publisher Public Library of Science (PLoS)
record_format Article
series PLoS ONE
spelling doaj.art-45b73619e80e4db0afe2a15c1090dbc52022-12-21T19:18:28ZengPublic Library of Science (PLoS)PLoS ONE1932-62032018-01-011312e020911010.1371/journal.pone.0209110Comparison of visual assessment and computer image analysis of intracoronary thrombus type by optical coherence tomography.Timo P KaivosojaShengnan LiuJouke DijkstraHeini HuhtalaTej ShethOlli A KajanderBACKGROUND:Analysis of intracoronary thrombus type by optical coherence tomography (OCT) imaging is highly subjective. We aimed to compare a newly developed image analysis method to subjective visual classification of thrombus type identified by OCT. METHODS:Thirty patients with acute ST elevation myocardial infarction were included. Thrombus type visually classified by two independent readers was compared with analysis using QCU-CMS software. RESULTS:Repeatability of the computer-based measurements was good. By using a ROC, area under curve values for discrimination of white and red thrombi were 0.92 (95% confidence intervals (CI) 0.83-1.00) for median attenuation, 0.96 (95% CI 0.89-1.00) for mean backscatter and 0.96 (95% CI 0.89-1.00) for mean grayscale intensity. Median attenuation of 0.57 mm-1 (sensitivity 100%, specificity 71%), mean backscatter of 5.35 (sensitivity 92%, specificity 94%) and mean grayscale intensity of 120.1 (sensitivity 85%, specificity 100%) were identified as the best cut-off values to differentiate between red and white thrombi. CONCLUSIONS:Attenuation, backscatter and grayscale intensity of thrombi in OCT images differentiated red and white thrombi with high sensitivity and specificity. Measurement of these continuous parameters can be used as a less user-dependent method to characterize in vivo thrombi. The clinical significance of these findings needs to be tested in further studies.https://doi.org/10.1371/journal.pone.0209110
spellingShingle Timo P Kaivosoja
Shengnan Liu
Jouke Dijkstra
Heini Huhtala
Tej Sheth
Olli A Kajander
Comparison of visual assessment and computer image analysis of intracoronary thrombus type by optical coherence tomography.
PLoS ONE
title Comparison of visual assessment and computer image analysis of intracoronary thrombus type by optical coherence tomography.
title_full Comparison of visual assessment and computer image analysis of intracoronary thrombus type by optical coherence tomography.
title_fullStr Comparison of visual assessment and computer image analysis of intracoronary thrombus type by optical coherence tomography.
title_full_unstemmed Comparison of visual assessment and computer image analysis of intracoronary thrombus type by optical coherence tomography.
title_short Comparison of visual assessment and computer image analysis of intracoronary thrombus type by optical coherence tomography.
title_sort comparison of visual assessment and computer image analysis of intracoronary thrombus type by optical coherence tomography
url https://doi.org/10.1371/journal.pone.0209110
work_keys_str_mv AT timopkaivosoja comparisonofvisualassessmentandcomputerimageanalysisofintracoronarythrombustypebyopticalcoherencetomography
AT shengnanliu comparisonofvisualassessmentandcomputerimageanalysisofintracoronarythrombustypebyopticalcoherencetomography
AT joukedijkstra comparisonofvisualassessmentandcomputerimageanalysisofintracoronarythrombustypebyopticalcoherencetomography
AT heinihuhtala comparisonofvisualassessmentandcomputerimageanalysisofintracoronarythrombustypebyopticalcoherencetomography
AT tejsheth comparisonofvisualassessmentandcomputerimageanalysisofintracoronarythrombustypebyopticalcoherencetomography
AT olliakajander comparisonofvisualassessmentandcomputerimageanalysisofintracoronarythrombustypebyopticalcoherencetomography