Nondestructive Evaluation of Mechanical and Histological Properties of the Human Aorta With Near-Infrared Spectroscopy

被引:0
|
作者
Sarin, Jaakko K. [1 ,2 ,3 ]
Kiema, Miika [4 ]
Luoto, Emma-Sofia [4 ]
Husso, Annastiina [5 ]
Hedman, Marja [5 ,6 ,7 ]
Laakkonen, Johanna P. [4 ]
Torniainen, Jari [3 ,8 ]
机构
[1] Tampere Univ Hosp, Med Imaging Ctr, Dept Med Phys, Tampere, Finland
[2] Tampere Univ Hosp, Dept Radiol, Tampere, Finland
[3] Univ Eastern Finland, Dept Tech Phys, Kuopio, Finland
[4] Univ Eastern Finland, AI Virtanen Inst Mol Sci, Kuopio, Finland
[5] Kuopio Univ Hosp, Dept Cardiothorac Surg, Kuopio, Finland
[6] Kuopio Univ Hosp, Dept Clin Radiol, Kuopio, Finland
[7] Univ Eastern Finland, Inst Clin Med, Kuopio, Finland
[8] Univ Queensland, Sch Informat Technol & Elect Engn, Brisbane, Australia
基金
芬兰科学院;
关键词
Aortic aneurysm; Biomechanics; Histology; Multivariate modeling; Spectroscopy; REGRESSION; ANEURYSM; DISEASES;
D O I
10.1016/j.jss.2023.01.016
中图分类号
R61 [外科手术学];
学科分类号
摘要
Introduction: Ascending aortic dilatation is a well-known risk factor for aortic rupture. In-dications for aortic replacement in its dilatation concomitant to other open-heart surgery exist; however, cut-off values based solely on aortic diameter may fail to identify patients with weakened aortic tissue. We introduce near-infrared spectroscopy (NIRS) as a diag-nostic tool to nondestructively evaluate the structural and compositional properties of the human ascending aorta during open-heart surgeries. During open-heart surgery, NIRS could provide information regarding tissue viability in situ and thus contribute to the de-cision of optimal surgical repair.Materials and methods: Samples were collected from patients with ascending aortic aneu-rysm (n = 23) undergoing elective aortic reconstruction surgery and from healthy subjects (n = 4). The samples were subjected to spectroscopic measurements, biomechanical testing, and histological analysis. The relationship between the near-infrared spectra and biomechanical and histological properties was investigated by adapting partial least squares regression.Results: Moderate prediction performance was achieved with biomechanical properties (r = 0.681, normalized root-mean-square error of cross-validation = 17.9%) and histological properties (r = 0.602, normalized root-mean-square error of cross-validation = 22.2%). Especially the performance with parameters describing the aorta's ultimate strength, for example, failure strain (r = 0.658), and elasticity (phase difference, r = 0.875) were prom-ising and could, therefore, provide quantitative information on the rupture sensitivity of the aorta. For the estimation of histological properties, the results with a-smooth muscle actin (r = 0.581), elastin density (r = 0.973), mucoid extracellular matrix accumulation(r = 0.708), and media thickness (r = 0.866) were promising.Conclusions: NIRS could be a potential technique for in situ evaluation of biomechanical and histological properties of human aorta and therefore useful in patient-specific treatment planning. 2023 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
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页码:82 / 89
页数:8
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