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/).
引用
收藏
页码:82 / 89
页数:8
相关论文
共 50 条
  • [31] Application of near-infrared spectroscopy for the nondestructive analysis of wheat flour: A review
    Zhang, Shun
    Liu, Shuliang
    Shen, Li
    Chen, Shujuan
    He, Li
    Liu, Aiping
    CURRENT RESEARCH IN FOOD SCIENCE, 2022, 5 : 1305 - 1312
  • [32] Near-Infrared Spectroscopy for the Evaluation of Anesthetic Depth
    Hernandez-Meza, Gabriela
    Izzetoglu, Meltem
    Osbakken, Mary
    Green, Michael
    Izzetoglu, Kurtulus
    BIOMED RESEARCH INTERNATIONAL, 2015, 2015
  • [33] Clinical evaluation of near-infrared spectroscopy - Reply
    Taillefer, MC
    Denault, A
    CANADIAN JOURNAL OF ANAESTHESIA-JOURNAL CANADIEN D ANESTHESIE, 2006, 53 (03): : 324 - 324
  • [34] Nondestructive analysis of mixture of organic reagents by near near-infrared spectroscopy in conjunction with chemometrics
    Guo, Ye
    Ren, Yulin
    Zhang, Bin
    Qiu, Fangping
    Fenxi Yiqi/Analytical Instrumentation, 2002, (02):
  • [35] Effect of mechanical optical clearing on near-infrared spectroscopy
    Idelson, Christopher R.
    Vogt, William C.
    King-Casas, Brooks
    LaConte, Stephen M.
    Rylander, Christopher G.
    LASERS IN SURGERY AND MEDICINE, 2015, 47 (06) : 495 - 502
  • [36] Rapid nondestructive evaluation of duck meat pH and color using visible and near-infrared reflectance spectroscopy
    Qiao, Lu
    Tang, Xiuying
    Zhu, Xiaotong
    Su, Yangmuyu
    SPECTROSCOPY LETTERS, 2017, 50 (08) : 456 - 461
  • [37] Near-infrared spectroscopy
    Misra, M
    Alp, MS
    Dujovny, M
    Ausman, JI
    JOURNAL OF NEUROSURGERY, 1996, 85 (02) : 363 - 363
  • [38] Near-infrared spectroscopy
    Tsuchikawa, S
    Hayashi, K
    Tsutsumi, S
    APPLIED SPECTROSCOPY, 1996, 50 (09) : 1117 - 1124
  • [39] NEAR-INFRARED SPECTROSCOPY
    HARRIS, DNF
    ANAESTHESIA, 1995, 50 (12) : 1015 - 1016
  • [40] Near-infrared spectroscopy
    Norris, T
    Aldridge, PK
    Sekulic, SS
    ANALYST, 1997, 122 (06) : 549 - 552