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

Photoacoustics (Jun 2022)

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

Affiliations

Kangmu Ma: Department of Cardiovascular Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
Shiying Wu: Institute of Acoustics, School of Physics Science and Engineering, Tongji University, Shanghai, China; MOE Frontiers Science Center for Intelligent Autonomous Systems, Tongji University, Shanghai, China
Shixing Huang: Department of Cardiovascular Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
Weiya Xie: Institute of Acoustics, School of Physics Science and Engineering, Tongji University, Shanghai, China; MOE Frontiers Science Center for Intelligent Autonomous Systems, Tongji University, Shanghai, China
Mengjiao Zhang: Institute of Acoustics, School of Physics Science and Engineering, Tongji University, Shanghai, China; MOE Frontiers Science Center for Intelligent Autonomous Systems, Tongji University, Shanghai, China
Yingna Chen: Institute of Acoustics, School of Physics Science and Engineering, Tongji University, Shanghai, China; MOE Frontiers Science Center for Intelligent Autonomous Systems, Tongji University, Shanghai, China
Pengxiong Zhu: Department of Cardiovascular Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
Jun Liu: Department of Cardiac Surgery, East Hospital, Tongji University School of Medicine, Shanghai, China; Corresponding authors at: Institute of Acoustics, School of Physics Science and Engineering, Tongji University, Shanghai, China
Qian Cheng: Institute of Acoustics, School of Physics Science and Engineering, Tongji University, Shanghai, China; MOE Frontiers Science Center for Intelligent Autonomous Systems, Tongji University, Shanghai, China; Corresponding authors at: Institute of Acoustics, School of Physics Science and Engineering, Tongji University, Shanghai, China

Journal volume & issue: Vol. 26
p. 100344

Abstract

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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 (RAPSD)” was computed from the DWPASA results. Compared to the normal tissue, MI tissue was shown to contain more collagen, resulting in higher RAPSD 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). RAPSD 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.

Published in Photoacoustics

ISSN: 2213-5979 (Online)
Publisher: Elsevier
Country of publisher: Netherlands
LCC subjects: Science: Physics: Acoustics. Sound; Science: Physics: Optics. Light
Website: http://www.journals.elsevier.com/photoacoustics/

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