Myocardial infarct border demarcation by dual-wavelength photoacoustic spectral analysis

Kangmu Ma; Shiying Wu; Shixing Huang; Weiya Xie; Mengjiao Zhang; Yingna Chen; Pengxiong Zhu; Jun Liu; Qian Cheng

doi:10.1016/j.pacs.2022.100344

Myocardial infarct border demarcation by dual-wavelength photoacoustic spectral analysis

Photoacoustics. 2022 Mar 5:26:100344. doi: 10.1016/j.pacs.2022.100344. eCollection 2022 Jun.

Authors

Kangmu Ma¹, Shiying Wu^{2

3}, Shixing Huang¹, Weiya Xie^{2

3}, Mengjiao Zhang^{2

3}, Yingna Chen^{2

3}, Pengxiong Zhu¹, Jun Liu⁴, Qian Cheng^{2

3}

Affiliations

¹ Department of Cardiovascular Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
² Institute of Acoustics, School of Physics Science and Engineering, Tongji University, Shanghai, China.
³ MOE Frontiers Science Center for Intelligent Autonomous Systems, Tongji University, Shanghai, China.
⁴ Department of Cardiac Surgery, East Hospital, Tongji University School of Medicine, Shanghai, China.

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.

Keywords: Dual-wavelength photoacoustic measurement; Myocardial infarct border demarcation; Photoacoustic spectral analysis; Specific molecular content determination.