概念验证研究:高光谱成像定量检测口咽癌中DKK-3的表达。

IF 3.7 3区 医学 Q2 ENGINEERING, BIOMEDICAL
Theresa Mittermair, Andrea Brunner, Bettina Zelger, Rohit Arora, Christian Wolfgang Huck, Johannes Dominikus Pallua
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引用次数: 0

摘要

口腔鳞状细胞癌(OSCC)是世界范围内最常见的肿瘤之一。本研究以OSCC中Dickkopf-3 (DKK-3)为例,比较了可见光和近红外高光谱成像与视觉评估和传统数字图像分析在定量免疫组织化学染色中的适用性。材料和方法:回顾性分析因斯布鲁克医科大学病理研究所档案中含有DKK-3染色OSCC的50例患者的tma。首先对tma进行视觉评估,然后使用QuPath(0.3.2版本,开源软件)进行数字图像分析。在高光谱成像方面,选取6例典型病例(3例强表达,3例弱表达)进行评价。收集的高光谱图像使用TIVITA(组织成像系统)进行可视化。然后使用QuPath软件对得到的真彩图像和分类HSI图像进行评估。所有分析均采用Allred评分和h评分。结果:用97个组织核进行视觉和数字图像分析。使用h -评分对视觉和数字图像分析的评价无显著差异(pWilcoxon = 0.278),两者的h -评分之间存在显著相关性(pSpearman < 0.001)。使用Allred评分也发现了类似的结果。kappa值为0.67,表示“实质性”相关。最后,比较视觉、数字和HSI成像的h评分和Allred评分。三组间的H-score差异无统计学意义(pWilcoxon >.1)。使用科恩的Kappa,在三个评估之间观察到“公平”到“中等”的相关性。结论:可见光和近红外高光谱成像(VIS-NIR-HSI)是数字病理工作流程的一个很有前途的补充工具。这项概念验证研究表明,HSI为更客观地定量口咽鳞状细胞癌中DKK-3的表达提供了潜力,特别是在染色较弱的病例中。然而,考虑到小样本量和探索性设计,研究结果应被视为假设生成。在考虑常规临床应用之前,需要进行更大规模的临床注释队列和标准化工作流程的未来研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Proof-of-Concept Study: Hyperspectral Imaging for Quantification of DKK-3 Expression in Oropharyngeal Carcinoma.

Introduction: Oral squamous cell carcinoma (OSCC) is one of the most common tumours worldwide. This study investigated the suitability of visible and near-infrared hyperspectral imaging compared to visual assessment and conventional digital image analysis for quantifying immunohistochemical staining on the example of Dickkopf-3 (DKK-3) in OSCC.

Materials and methods: A retrospective analysis of TMAs containing DKK-3 stained OSCC of 50 patients was retrieved from the archives at the Institute of Pathology, Medical University of Innsbruck. TMAs were first evaluated visually, followed by digital image analysis using QuPath (version 0.3.2, open-source software). For hyperspectral imaging, six exemplary cases were selected (three cases with strong expression and three cases with weak expression) and evaluated. The collected hyperspectral images were visualised using TIVITA (Tissue Imaging System). The resulting true-colour images and the classified HSI images were then assessed using the QuPath software. The Allred score and the H-score were used for all analyses.

Results: 97 tissue cores were used for visual and digital image analysis. No significant difference was found between the evaluations of visual and digital image analysis using the H-score (pWilcoxon = 0.278), and both H-scores correlated significantly with each other (pSpearman < 0.001). Similar results were also found using the Allred score. The kappa value was 0.67, which represents a "substantial" correlation. Finally, the H-scores and Allred scores were compared for visual, digital, and HSI imaging. No significant differences were found between the three groups concerning the H-score (pWilcoxon > 0.1). Using Cohen's Kappa, a "fair" to "moderate" correlation was observed between the three evaluations.

Conclusion: Visible and near-infrared hyperspectral imaging (VIS-NIR-HSI) is a promising complementary tool for digital pathology workflows. This proof-of-concept study suggests that HSI offers the potential for more objective quantification of DKK-3 expression in oropharyngeal squamous cell carcinoma, particularly in cases with weak staining. However, given the small sample size and exploratory design, the findings should be regarded as hypothesis-generating. Future studies with larger, clinically annotated cohorts and standardised workflows are needed before any consideration of routine clinical application.

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来源期刊
Bioengineering
Bioengineering Chemical Engineering-Bioengineering
CiteScore
4.00
自引率
8.70%
发文量
661
期刊介绍: Aims Bioengineering (ISSN 2306-5354) provides an advanced forum for the science and technology of bioengineering. It publishes original research papers, comprehensive reviews, communications and case reports. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. All aspects of bioengineering are welcomed from theoretical concepts to education and applications. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. There are, in addition, four key features of this Journal: ● We are introducing a new concept in scientific and technical publications “The Translational Case Report in Bioengineering”. It is a descriptive explanatory analysis of a transformative or translational event. Understanding that the goal of bioengineering scholarship is to advance towards a transformative or clinical solution to an identified transformative/clinical need, the translational case report is used to explore causation in order to find underlying principles that may guide other similar transformative/translational undertakings. ● Manuscripts regarding research proposals and research ideas will be particularly welcomed. ● Electronic files and software regarding the full details of the calculation and experimental procedure, if unable to be published in a normal way, can be deposited as supplementary material. ● We also accept manuscripts communicating to a broader audience with regard to research projects financed with public funds. Scope ● Bionics and biological cybernetics: implantology; bio–abio interfaces ● Bioelectronics: wearable electronics; implantable electronics; “more than Moore” electronics; bioelectronics devices ● Bioprocess and biosystems engineering and applications: bioprocess design; biocatalysis; bioseparation and bioreactors; bioinformatics; bioenergy; etc. ● Biomolecular, cellular and tissue engineering and applications: tissue engineering; chromosome engineering; embryo engineering; cellular, molecular and synthetic biology; metabolic engineering; bio-nanotechnology; micro/nano technologies; genetic engineering; transgenic technology ● Biomedical engineering and applications: biomechatronics; biomedical electronics; biomechanics; biomaterials; biomimetics; biomedical diagnostics; biomedical therapy; biomedical devices; sensors and circuits; biomedical imaging and medical information systems; implants and regenerative medicine; neurotechnology; clinical engineering; rehabilitation engineering ● Biochemical engineering and applications: metabolic pathway engineering; modeling and simulation ● Translational bioengineering
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