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首页> 外文期刊>Journal of Digital Imaging >Quantitative Imaging Biomarkers: The Application of Advanced Image Processing and Analysis to Clinical and Preclinical Decision Making
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Quantitative Imaging Biomarkers: The Application of Advanced Image Processing and Analysis to Clinical and Preclinical Decision Making

机译：定量成像生物标志物：高级图像处理和分析在临床和临床前决策中的应用

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摘要

The importance of medical imaging for clinical decision making has been steadily increasing over the last four decades. Recently, there has also been an emphasis on medical imaging for preclinical decision making, i.e., for use in pharamaceutical and medical device development. There is also a drive towards quantification of imaging findings by using quantitative imaging biomarkers, which can improve sensitivity, specificity, accuracy and reproducibility of imaged characteristics used for diagnostic and therapeutic decisions. An important component of the discovery, characterization, validation and application of quantitative imaging biomarkers is the extraction of information and meaning from images through image processing and subsequent analysis. However, many advanced image processing and analysis methods are not applied directly to questions of clinical interest, i.e., for diagnostic and therapeutic decision making, which is a consideration that should be closely linked to the development of such algorithms. This article is meant to address these concerns. First, quantitative imaging biomarkers are introduced by providing definitions and concepts. Then, potential applications of advanced image processing and analysis to areas of quantitative imaging biomarker research are described; specifically, research into osteoarthritis (OA), Alzheimer's disease (AD) and cancer is presented. Then, challenges in quantitative imaging biomarker research are discussed. Finally, a conceptual framework for integrating clinical and preclinical considerations into the development of quantitative imaging biomarkers and their computer-assisted methods of extraction is presented.
机译：在过去的四十年中，医学影像对于临床决策的重要性一直在稳步提高。近来，还强调了用于临床前决策的医学成像，即用于药物和医疗器械的开发。还存在通过使用定量成像生物标记物来量化成像结果的动力，这可以提高用于诊断和治疗决策的成像特征的敏感性，特异性，准确性和可再现性。定量成像生物标志物的发现，表征，验证和应用的重要组成部分是通过图像处理和后续分析从图像中提取信息和含义。但是，许多高级图像处理和分析方法并未直接应用于临床关注的问题，即用于诊断和治疗决策，这是应与此类算法的开发紧密联系的考虑因素。本文旨在解决这些问题。首先，通过提供定义和概念来引入定量成像生物标志物。然后，描述了高级图像处理和分析在定量成像生物标志物研究领域中的潜在应用；具体来说，提出了对骨关节炎（OA），阿尔茨海默氏病（AD）和癌症的研究。然后，讨论了定量成像生物标志物研究中的挑战。最后，提出了将临床和临床前考虑因素整合到定量成像生物标记物及其计算机辅助提取方法开发中的概念框架。

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