Whole-Slide Imaging and Automated Image Analysis: Considerations and Opportunities in the Practice of Pathology
Whole-Slide Imaging and Automated Image Analysis: Considerations and Opportunities in the Practice of Pathology
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DOI：
10.1177/0300985813503570
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发表时间：
2014-01-01
影响因子：
2.4
通讯作者：
Dunstan, R. W.
中科院分区：
文献类型：
--
作者：
Webster, J. D.;Dunstan, R. W.
数字病理学，使用病理标本的数字化图像的病理学实践，近年来已经通过全载玻片成像系统的发展而改变，该系统允许对整个组织切片的数字图像进行评估和解释。全载玻片成像的应用包括快速传输病理数据用于会诊和协作、标准化和分发病理材料用于教育、组织标本存档和组织学标本的图像分析。组织学图像分析允许采集组织切片的组织形态学、组织化学和免疫组织化学特性的客观测量，从而提高从组织学评估获得的数据的数量和质量。目前，许多组织学图像分析软件解决方案是可商购的。选择适当的解决方案取决于对调查问题、计算机编程和图像分析专业知识以及成本的考虑。然而，所有使用组织学图像分析的研究都需要仔细考虑分析前的变量，如组织收集、固定和处理，以及实验设计，包括样本选择、对照、参考标准和测量的变量。数字病理学和组织学图像分析领域正在不断发展，其对病理学的潜在影响仍在增长。这些方法将越来越多地改变病理学的实践，使其向定量科学发展。然而，这种成熟需要病理学家站在过程的最前沿，确保其适当的应用和结果的有效性。因此，组织学图像分析和病理学领域应该共同发展，建立一种共生关系，从而产生高质量的可重复的客观数据。
Digital pathology, the practice of pathology using digitized images of pathologic specimens, has been transformed in recent years by the development of whole-slide imaging systems, which allow for the evaluation and interpretation of digital images of entire histologic sections. Applications of whole-slide imaging include rapid transmission of pathologic data for consultations and collaborations, standardization and distribution of pathologic materials for education, tissue specimen archiving, and image analysis of histologic specimens. Histologic image analysis allows for the acquisition of objective measurements of histomorphologic, histochemical, and immunohistochemical properties of tissue sections, increasing both the quantity and quality of data obtained from histologic assessments. Currently, numerous histologic image analysis software solutions are commercially available. Choosing the appropriate solution is dependent on considerations of the investigative question, computer programming and image analysis expertise, and cost. However, all studies using histologic image analysis require careful consideration of preanalytical variables, such as tissue collection, fixation, and processing, and experimental design, including sample selection, controls, reference standards, and the variables being measured. The fields of digital pathology and histologic image analysis are continuing to evolve, and their potential impact on pathology is still growing. These methodologies will increasingly transform the practice of pathology, allowing it to mature toward a quantitative science. However, this maturation requires pathologists to be at the forefront of the process, ensuring their appropriate application and the validity of their results. Therefore, histologic image analysis and the field of pathology should co-evolve, creating a symbiotic relationship that results in high-quality reproducible, objective data.