统计考虑因素和工具，以改进具有光谱成像的组织病理学协议。
Statistical Considerations and Tools to Improve Histopathologic Protocols with Spectroscopic Imaging.
机构信息
97472Department of Bioengineering and Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
14589Department of Chemical Engineering, University of Washington, Seattle, WA, USA.
出版信息
Appl Spectrosc. 2022 Apr;76(4):428-438. doi: 10.1177/00037028211066327. Epub 2022 Mar 16.
Advances in infrared (IR) spectroscopic imaging instrumentation and data science now present unique opportunities for large validation studies of the concept of histopathology using spectral data. In this study, we examine the discrimination potential of IR metrics for different histologic classes to estimate the sample size needed for designing validation studies to achieve a given statistical power and statistical significance. Next, we present an automated annotation transfer tool that can allow large-scale training/validation, overcoming the limitations of sparse ground truth data with current manual approaches by providing a tool to transfer pathologist annotations from stained images to IR images across diagnostic categories. Finally, the results of a combination of supervised and unsupervised analysis provide a scheme to identify diagnostic groups/patterns and isolating pure chemical pixels for each class to better train complex histopathological models. Together, these methods provide essential tools to take advantage of the emerging capabilities to record and utilize large spectroscopic imaging datasets.
红外（IR）光谱成像仪器和数据科学的进步，为使用光谱数据对组织病理学概念进行大型验证研究提供了独特的机会。在这项研究中，我们研究了 IR 指标对不同组织学分类的区分潜力，以估计为实现给定统计功效和统计显著性而设计验证研究所需的样本量。接下来，我们提出了一种自动注释转移工具，该工具可以实现大规模的训练/验证，通过提供一种从染色图像向 across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across across a wide range of diagnostic categories. Together, these methods provide essential tools to take advantage of the emerging capabilities to record and utilize large spectroscopic imaging datasets.
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