直近一年間の累計
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ID 114958
著者
Yamamoto, Tsunehisa Kyoto Prefectural University of Medicine
南川, 丈夫 Kyoto Prefectural University of Medicine|Tokushima University|Japan Science and Technology Agency 徳島大学 教育研究者総覧 KAKEN研究者をさがす
Harada, Yoshinori Kyoto Prefectural University of Medicine
Yamaoka, Yoshihisa Saga University
Tanaka, Hideo Kyoto Prefectural University of Medicine
Yaku, Hitoshi Kyoto Prefectural University of Medicine
Takamatsu, Tetsuro Kyoto Prefectural University of Medicine
資料タイプ
学術雑誌論文
抄録
Understanding the viability of the ischemic myocardial tissue is a critical issue in determining the appropriate surgical procedure for patients with chronic heart failure after myocardial infarction (MI). Conventional MI evaluation methods are; however, preoperatively performed and/or give an indirect information of myocardial viability such as shape, color, and blood flow. In this study, we realize the evaluation of MI in patients undergoing cardiac surgery by Raman spectroscopy under label-free conditions, which is based on intrinsic molecular constituents related to myocardial viability. We identify key signatures of Raman spectra for the evaluation of myocardial viability by evaluating the infarct border zone myocardium that were excised from five patients under surgical ventricular restoration. We also obtain a prediction model to differentiate the infarcted myocardium from the non-infarcted myocardium by applying partial least squares regression-discriminant analysis (PLS-DA) to the Raman spectra. Our prediction model enables identification of the infarcted tissues and the non-infarcted tissues with sensitivities of 99.98% and 99.92%, respectively. Furthermore, the prediction model of the Raman images of the infarct border zone enabled us to visualize boundaries between these distinct regions. Our novel application of Raman spectroscopy to the human heart would be a useful means for the detection of myocardial viability during surgery.
掲載誌名
Scientific Reports
ISSN
20452322
出版者
Springer Nature
8
開始ページ
14671
発行日
2018-10-02
権利情報
This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
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言語
eng
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部局
理工学系