A novel stress sensor enables accurate estimation of micro-scale tissue mechanics in quantitative micro-elastography.

IF 6.6 3区 医学 Q1 ENGINEERING, BIOMEDICAL
APL Bioengineering Pub Date : 2024-09-23 eCollection Date: 2024-09-01 DOI:10.1063/5.0220309
Kai L Metzner, Qi Fang, Rowan W Sanderson, Yen L Yeow, Celia Green, Farah Abdul-Aziz, Juliana Hamzah, Alireza Mowla, Brendan F Kennedy
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引用次数: 0

Abstract

Quantitative micro-elastography (QME) is a compression-based optical coherence elastography technique enabling the estimation of tissue mechanical properties on the micro-scale. QME utilizes a compliant layer as an optical stress sensor, placed between an imaging window and tissue, providing quantitative estimation of elasticity. However, the implementation of the layer is challenging and introduces unpredictable friction conditions at the contact boundaries, deteriorating the accuracy and reliability of elasticity estimation. This has largely limited the use of QME to ex vivo studies and is a barrier to clinical translation. In this work, we present a novel implementation by affixing the stress sensing layer to the imaging window and optimizing the layer thickness, enhancing the practical use of QME for in vivo applications by eliminating the requirement for manual placement of the layer, and significantly reducing variations in the friction conditions, leading to substantial improvement in the accuracy and repeatability of elasticity estimation. We performed a systematic validation of the integrated layer, demonstrating >30% improvement in sensitivity and the ability to provide mechanical contrast in a mechanically heterogeneous phantom. In addition, we demonstrate the ability to obtain accurate estimation of elasticity (<6% error compared to <14% achieved using existing QME) in homogeneous phantoms with mechanical properties ranging from 40 to 130 kPa. Furthermore, we show the integrated layer to be more robust, exhibiting increased temporal stability, as well as improved conformity to variations in sample surface topography, allowing for accurate estimation of elasticity over acquisition times 3× longer than current methods. Finally, when applied to ex vivo human breast tissue, we demonstrate the ability to distinguish between healthy and diseased tissue features, such as stroma and cancer, confirmed by co-registered histology, showcasing the potential for routine use in biomedical applications.

新型应力传感器可在定量微弹性成像中准确估算微尺度组织力学。
定量微弹性成像(QME)是一种基于压缩的光学相干弹性成像技术,可在微观尺度上估算组织的机械特性。QME 利用放置在成像窗口和组织之间的顺应层作为光学应力传感器,对弹性进行定量估算。然而,该层的实施具有挑战性,会在接触边界带来不可预测的摩擦条件,从而降低弹性估算的准确性和可靠性。这在很大程度上限制了 QME 在体外研究中的应用,并阻碍了临床转化。在这项工作中,我们提出了一种新颖的实施方法,将应力传感层粘贴在成像窗口上,并优化了传感层的厚度,从而提高了 QME 在体内应用中的实用性,因为它不再需要手动放置传感层,并显著减少了摩擦条件的变化,从而大大提高了弹性估计的准确性和可重复性。我们对集成层进行了系统验证,结果表明灵敏度提高了 30%,并能在机械异质模型中提供机械对比度。此外,我们还展示了准确估算弹性的能力(体外人体乳腺组织)、区分健康和病变组织特征(如基质和癌症)的能力(通过共存组织学证实),从而展示了在生物医学应用中常规使用的潜力。
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来源期刊
APL Bioengineering
APL Bioengineering ENGINEERING, BIOMEDICAL-
CiteScore
9.30
自引率
6.70%
发文量
39
审稿时长
19 weeks
期刊介绍: APL Bioengineering is devoted to research at the intersection of biology, physics, and engineering. The journal publishes high-impact manuscripts specific to the understanding and advancement of physics and engineering of biological systems. APL Bioengineering is the new home for the bioengineering and biomedical research communities. APL Bioengineering publishes original research articles, reviews, and perspectives. Topical coverage includes: -Biofabrication and Bioprinting -Biomedical Materials, Sensors, and Imaging -Engineered Living Systems -Cell and Tissue Engineering -Regenerative Medicine -Molecular, Cell, and Tissue Biomechanics -Systems Biology and Computational Biology
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