1
|
Ma K, Wu S, Huang S, Xie W, Zhang M, Chen Y, Zhu P, Liu J, Cheng Q. Myocardial infarct border demarcation by dual-wavelength photoacoustic spectral analysis. PHOTOACOUSTICS 2022; 26:100344. [PMID: 35282297 PMCID: PMC8907670 DOI: 10.1016/j.pacs.2022.100344] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Revised: 03/03/2022] [Accepted: 03/04/2022] [Indexed: 06/14/2023]
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.
Collapse
Affiliation(s)
- 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
| | - 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
| |
Collapse
|