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关节软骨光学特性与组织生物力学参数之间的关系。

The Relationship Between the Optical Properties of Articular Cartilage and the Biomechanical Parameters of the Tissue.

作者信息

Kafian-Attari Iman, Ebrahimi Mohammad, Nippolainen Ervin, Mirhashemi Arash, Paakkari Petri, Bergmann Florian, Foschum Florian, Kienle Alwin, Töyräs Juha, Afara Isaac

机构信息

Department of Technical Physics, University of Eastern Finland, Kuopio, Finland.

Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland.

出版信息

J Biophotonics. 2025 Apr;18(4):e202400460. doi: 10.1002/jbio.202400460. Epub 2025 Jan 31.

DOI:10.1002/jbio.202400460
PMID:39891344
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11972934/
Abstract

This study investigates the relationship between the optical properties of articular cartilage with its biomechanical parameters. The absorption and reduced scattering coefficients of articular cartilage, and average maximum penetration depth, average maximum lateral spread, and average path length of photons were estimated by optical measurements and Monte Carlo simulation. The equilibrium and instantaneous moduli, and initial fibrillar network, strain-dependent fibrillar network, and nonfibrillar network moduli, and initial and deformation-dependent permeability of the tissue were estimated by multistep stress-relaxation measurement and fibril-reinforced poroelastic modeling. The relationship between the optical properties and biomechanical parameters was assessed using predictive regression modeling. A strong relationship was found between reduced scattering coefficients, averaged maximum penetration depth, averaged maximum lateral spread, and average path length of photons with equilibrium, instantaneous, and initial fibrillar network moduli. We attribute this relationship to the collagen fibers as the main contributor to the scattering and biomechanical properties of the tissue.

摘要

本研究调查了关节软骨的光学特性与其生物力学参数之间的关系。通过光学测量和蒙特卡罗模拟估算了关节软骨的吸收系数和约化散射系数,以及光子的平均最大穿透深度、平均最大横向扩展和平均路径长度。通过多步应力松弛测量和纤维增强多孔弹性模型估算了组织的平衡模量和瞬时模量、初始纤维网络、应变相关纤维网络和非纤维网络模量,以及组织的初始渗透率和变形相关渗透率。使用预测回归模型评估了光学特性与生物力学参数之间的关系。发现光子的约化散射系数、平均最大穿透深度、平均最大横向扩展和平均路径长度与平衡模量、瞬时模量和初始纤维网络模量之间存在密切关系。我们将这种关系归因于胶原纤维,因为它是组织散射和生物力学特性的主要贡献者。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b831/11972934/6fae03bf5dfb/JBIO-18-e202400460-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b831/11972934/6feaa7a9601d/JBIO-18-e202400460-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b831/11972934/fdee21c69d22/JBIO-18-e202400460-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b831/11972934/e247acf9f2d8/JBIO-18-e202400460-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b831/11972934/1a851ab272fc/JBIO-18-e202400460-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b831/11972934/b8dc636c60ce/JBIO-18-e202400460-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b831/11972934/6fae03bf5dfb/JBIO-18-e202400460-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b831/11972934/6feaa7a9601d/JBIO-18-e202400460-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b831/11972934/fdee21c69d22/JBIO-18-e202400460-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b831/11972934/e247acf9f2d8/JBIO-18-e202400460-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b831/11972934/1a851ab272fc/JBIO-18-e202400460-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b831/11972934/b8dc636c60ce/JBIO-18-e202400460-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b831/11972934/6fae03bf5dfb/JBIO-18-e202400460-g003.jpg

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本文引用的文献

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2
Broadband scattering properties of articular cartilage zones and their relationship with the heterogenous structure of articular cartilage extracellular matrix.关节软骨各层的宽带散射特性及其与关节软骨细胞外基质异质性结构的关系。
J Biomed Opt. 2023 Dec;28(12):125003. doi: 10.1117/1.JBO.28.12.125003. Epub 2023 Dec 13.
3
Impact of experimental setup parameters on the measurement of articular cartilage optical properties in the visible and short near-infrared spectral bands.
实验设置参数对可见和近红外短波段关节软骨光学特性测量的影响。
Biomed Opt Express. 2023 Jun 15;14(7):3397-3412. doi: 10.1364/BOE.488801. eCollection 2023 Jul 1.
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MCDataset: a public reference dataset of Monte Carlo simulated quantities for multilayered and voxelated tissues computed by massively parallel PyXOpto Python package.MCDataset:一个公共参考数据集,包含由大规模并行 PyXOpto Python 包计算的多层和体素化组织的蒙特卡罗模拟量。
J Biomed Opt. 2022 Apr;27(8). doi: 10.1117/1.JBO.27.8.083012.
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Characterization of connective tissues using near-infrared spectroscopy and imaging.利用近红外光谱和成像技术对结缔组织进行特性分析。
Nat Protoc. 2021 Feb;16(2):1297-1329. doi: 10.1038/s41596-020-00468-z. Epub 2021 Jan 18.
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Tissue optical properties combined with machine learning enables estimation of articular cartilage composition and functional integrity.组织光学特性与机器学习相结合能够估计关节软骨的组成和功能完整性。
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