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Myocardial infarct border demarcation by dual-wavelength photoacoustic spectral analysis
Myocardial infarction (MI) is a major cause of morbidity and mortality worldwide. Modern therapeutic strategies targeting the infarct border area have been shown to benefit overall cardiac function after MI. However, there is no non-invasive diagnostic technique to precisely demarcate the MI boundar...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8907670/ https://www.ncbi.nlm.nih.gov/pubmed/35282297 http://dx.doi.org/10.1016/j.pacs.2022.100344 |
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author | Ma, Kangmu Wu, Shiying Huang, Shixing Xie, Weiya Zhang, Mengjiao Chen, Yingna Zhu, Pengxiong Liu, Jun Cheng, Qian |
author_facet | Ma, Kangmu Wu, Shiying Huang, Shixing Xie, Weiya Zhang, Mengjiao Chen, Yingna Zhu, Pengxiong Liu, Jun Cheng, Qian |
author_sort | Ma, Kangmu |
collection | PubMed |
description | Myocardial infarction (MI) is a major cause of morbidity and mortality worldwide. Modern therapeutic strategies targeting the infarct border area have been shown to benefit overall cardiac function after MI. However, there is no non-invasive diagnostic technique to precisely demarcate the MI boundary till to now. In this study, the feasibility of demarcating the MI border using dual-wavelength photoacoustic spectral analysis (DWPASA) was investigated. To quantify specific molecular characteristics before and after MI, “the ratio of the areas of the power spectral densities (R(APSD))” was computed from the DWPASA results. Compared to the normal tissue, MI tissue was shown to contain more collagen, resulting in higher R(APSD) values (p < 0.001). Cross-sectional MI lengths and the MI area border demarcated in two dimensions by DWPASA were in substantial agreement with Masson staining (ICC = 0.76, p < 0.001, IoU = 0.72). R(APSD) has been proved that can be used as an indicator of disease evolution to distinguish normal and pathological tissues. These findings indicate that the DWPASA method may offer a new diagnostic solution for determining MI borders. |
format | Online Article Text |
id | pubmed-8907670 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-89076702022-03-11 Myocardial infarct border demarcation by dual-wavelength photoacoustic spectral analysis Ma, Kangmu Wu, Shiying Huang, Shixing Xie, Weiya Zhang, Mengjiao Chen, Yingna Zhu, Pengxiong Liu, Jun Cheng, Qian Photoacoustics Research Article Myocardial infarction (MI) is a major cause of morbidity and mortality worldwide. Modern therapeutic strategies targeting the infarct border area have been shown to benefit overall cardiac function after MI. However, there is no non-invasive diagnostic technique to precisely demarcate the MI boundary till to now. In this study, the feasibility of demarcating the MI border using dual-wavelength photoacoustic spectral analysis (DWPASA) was investigated. To quantify specific molecular characteristics before and after MI, “the ratio of the areas of the power spectral densities (R(APSD))” was computed from the DWPASA results. Compared to the normal tissue, MI tissue was shown to contain more collagen, resulting in higher R(APSD) values (p < 0.001). Cross-sectional MI lengths and the MI area border demarcated in two dimensions by DWPASA were in substantial agreement with Masson staining (ICC = 0.76, p < 0.001, IoU = 0.72). R(APSD) has been proved that can be used as an indicator of disease evolution to distinguish normal and pathological tissues. These findings indicate that the DWPASA method may offer a new diagnostic solution for determining MI borders. Elsevier 2022-03-05 /pmc/articles/PMC8907670/ /pubmed/35282297 http://dx.doi.org/10.1016/j.pacs.2022.100344 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Ma, Kangmu Wu, Shiying Huang, Shixing Xie, Weiya Zhang, Mengjiao Chen, Yingna Zhu, Pengxiong Liu, Jun Cheng, Qian Myocardial infarct border demarcation by dual-wavelength photoacoustic spectral analysis |
title | Myocardial infarct border demarcation by dual-wavelength photoacoustic spectral analysis |
title_full | Myocardial infarct border demarcation by dual-wavelength photoacoustic spectral analysis |
title_fullStr | Myocardial infarct border demarcation by dual-wavelength photoacoustic spectral analysis |
title_full_unstemmed | Myocardial infarct border demarcation by dual-wavelength photoacoustic spectral analysis |
title_short | Myocardial infarct border demarcation by dual-wavelength photoacoustic spectral analysis |
title_sort | myocardial infarct border demarcation by dual-wavelength photoacoustic spectral analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8907670/ https://www.ncbi.nlm.nih.gov/pubmed/35282297 http://dx.doi.org/10.1016/j.pacs.2022.100344 |
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