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Myocardial infarct border demarcation by dual-wavelength photoacoustic spectral analysis.


ABSTRACT: 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.

SUBMITTER: Ma K 

PROVIDER: S-EPMC8907670 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature

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Myocardial infarct border demarcation by dual-wavelength photoacoustic spectral analysis.

Ma Kangmu K   Wu Shiying S   Huang Shixing S   Xie Weiya W   Zhang Mengjiao M   Chen Yingna Y   Zhu Pengxiong P   Liu Jun J   Cheng Qian Q  

Photoacoustics 20220305


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 characteristi  ...[more]

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