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...
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doaj-45b73619e80e4db0afe2a15c1090dbc52021-03-03T21:02:15ZengPublic 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 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Timo P Kaivosoja Shengnan Liu Jouke Dijkstra Heini Huhtala Tej Sheth Olli A Kajander |
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 |
author_facet |
Timo P Kaivosoja Shengnan Liu Jouke Dijkstra Heini Huhtala Tej Sheth Olli A Kajander |
author_sort |
Timo P Kaivosoja |
title |
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_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_sort |
comparison of visual assessment and computer image analysis of intracoronary thrombus type by optical coherence tomography. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS ONE |
issn |
1932-6203 |
publishDate |
2018-01-01 |
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. |
url |
https://doi.org/10.1371/journal.pone.0209110 |
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