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Association between cine CMR-based radiomics signature and microvascular obstruction in patients with ST-segment elevation myocardial infarction
BACKGROUND: In the process of percutaneous coronary intervention (PCI), patients with ST-segment elevation myocardial infarction (STEMI) may receive large doses of the iodine contrast agent. Some adverse events may be aroused if the patients receive the gadolinium agents. We investigate the associat...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9096300/ https://www.ncbi.nlm.nih.gov/pubmed/35572892 http://dx.doi.org/10.21037/jtd-21-1706 |
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author | Peng, Yongjia Wu, Kongyang Wang, Yi Xiang J. Gong, Jingshan |
author_facet | Peng, Yongjia Wu, Kongyang Wang, Yi Xiang J. Gong, Jingshan |
author_sort | Peng, Yongjia |
collection | PubMed |
description | BACKGROUND: In the process of percutaneous coronary intervention (PCI), patients with ST-segment elevation myocardial infarction (STEMI) may receive large doses of the iodine contrast agent. Some adverse events may be aroused if the patients receive the gadolinium agents. We investigate the association between cine cardiac magnetic resonance (CMR)-based radiomics signature and microvascular obstruction (MVO) in patients with STEMI. METHODS: A total of 116 STEMI patients who received continuous CMR within 6 days after PCI were retrospectively included in this study. According to the late gadolinium enhancement (LGE) of CMR, the myocardial infarction (MI) was divided into with and without MVO. Radiomic features were extracted from cine CMR images and the least absolute shrinkage and selectionator operator (LASSO) algorithm was used for features selection and radiomic signatures construction. Binary logistic regression was used to assess association between radiomic signatures and MVO with adjusted for baseline clinical characteristics. RESULTS: Of 116 patients with STEMI, MI with MVO was found in 50 patients and MI without MVO was found in 66 patients. LASSO regression selected five radiomics features for radiomics signature construction. Logistic regression revealed that radiomics score, high sensitivity C-reactive protein (hs-CRP) and creatine phosphokinases (CPK) were independent risk factors for MVO with odds ratio (OR) of 4.41 (95% CI: 2.26–9.93), 1.018 (95% CI: 1.006–1.034) and 1.0007 (95% CI: 1.0004–1.0012), respectively. Area under curve (AUC) of receiver operating characteristic (ROC) of radiomics score to predict MVO was 0.75 (95% CI: 0.68–0.85). CONCLUSIONS: Cine CMR-based radiomics signature was an independent predictive factor of MVO in patients with STEMI, which showed the potential of this contrast free radiomics signature to be an imaging biomarker for MVO. |
format | Online Article Text |
id | pubmed-9096300 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-90963002022-05-13 Association between cine CMR-based radiomics signature and microvascular obstruction in patients with ST-segment elevation myocardial infarction Peng, Yongjia Wu, Kongyang Wang, Yi Xiang J. Gong, Jingshan J Thorac Dis Original Article BACKGROUND: In the process of percutaneous coronary intervention (PCI), patients with ST-segment elevation myocardial infarction (STEMI) may receive large doses of the iodine contrast agent. Some adverse events may be aroused if the patients receive the gadolinium agents. We investigate the association between cine cardiac magnetic resonance (CMR)-based radiomics signature and microvascular obstruction (MVO) in patients with STEMI. METHODS: A total of 116 STEMI patients who received continuous CMR within 6 days after PCI were retrospectively included in this study. According to the late gadolinium enhancement (LGE) of CMR, the myocardial infarction (MI) was divided into with and without MVO. Radiomic features were extracted from cine CMR images and the least absolute shrinkage and selectionator operator (LASSO) algorithm was used for features selection and radiomic signatures construction. Binary logistic regression was used to assess association between radiomic signatures and MVO with adjusted for baseline clinical characteristics. RESULTS: Of 116 patients with STEMI, MI with MVO was found in 50 patients and MI without MVO was found in 66 patients. LASSO regression selected five radiomics features for radiomics signature construction. Logistic regression revealed that radiomics score, high sensitivity C-reactive protein (hs-CRP) and creatine phosphokinases (CPK) were independent risk factors for MVO with odds ratio (OR) of 4.41 (95% CI: 2.26–9.93), 1.018 (95% CI: 1.006–1.034) and 1.0007 (95% CI: 1.0004–1.0012), respectively. Area under curve (AUC) of receiver operating characteristic (ROC) of radiomics score to predict MVO was 0.75 (95% CI: 0.68–0.85). CONCLUSIONS: Cine CMR-based radiomics signature was an independent predictive factor of MVO in patients with STEMI, which showed the potential of this contrast free radiomics signature to be an imaging biomarker for MVO. AME Publishing Company 2022-04 /pmc/articles/PMC9096300/ /pubmed/35572892 http://dx.doi.org/10.21037/jtd-21-1706 Text en 2022 Journal of Thoracic Disease. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Original Article Peng, Yongjia Wu, Kongyang Wang, Yi Xiang J. Gong, Jingshan Association between cine CMR-based radiomics signature and microvascular obstruction in patients with ST-segment elevation myocardial infarction |
title | Association between cine CMR-based radiomics signature and microvascular obstruction in patients with ST-segment elevation myocardial infarction |
title_full | Association between cine CMR-based radiomics signature and microvascular obstruction in patients with ST-segment elevation myocardial infarction |
title_fullStr | Association between cine CMR-based radiomics signature and microvascular obstruction in patients with ST-segment elevation myocardial infarction |
title_full_unstemmed | Association between cine CMR-based radiomics signature and microvascular obstruction in patients with ST-segment elevation myocardial infarction |
title_short | Association between cine CMR-based radiomics signature and microvascular obstruction in patients with ST-segment elevation myocardial infarction |
title_sort | association between cine cmr-based radiomics signature and microvascular obstruction in patients with st-segment elevation myocardial infarction |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9096300/ https://www.ncbi.nlm.nih.gov/pubmed/35572892 http://dx.doi.org/10.21037/jtd-21-1706 |
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