HE 染色的病理学定量评估:一种新系统的开发和临床评估。
Quantitative assessment of H&E staining for pathology: development and clinical evaluation of a novel system.
机构信息
National Pathology Imaging Co-operative, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
Department of Pathology and Data Analytics, University of Leeds, Leeds, UK.
出版信息
Diagn Pathol. 2024 Feb 23;19(1):42. doi: 10.1186/s13000-024-01461-w.
BACKGROUND
Staining tissue samples to visualise cellular detail and tissue structure is at the core of pathology diagnosis, but variations in staining can result in significantly different appearances of the tissue sample. While the human visual system is adept at compensating for stain variation, with the growth of digital imaging in pathology, the impact of this variation can be more profound. Despite the ubiquity of haematoxylin and eosin staining in clinical practice worldwide, objective quantification is not yet available. We propose a method for quantitative haematoxylin and eosin stain assessment to facilitate quality assurance of histopathology staining, enabling truly quantitative quality control and improved standardisation.
METHODS
The stain quantification method comprises conventional microscope slides with a stain-responsive biopolymer film affixed to one side, called stain assessment slides. The stain assessment slides were characterised with haematoxylin and eosin, and implemented in one clinical laboratory to quantify variation levels.
RESULTS
Stain assessment slide stain uptake increased linearly with duration of haematoxylin and eosin staining (r = 0.99), and demonstrated linearly comparable staining to samples of human liver tissue (r values 0.98-0.99). Laboratory implementation of this technique quantified intra- and inter-instrument variation of staining instruments at one point in time and across a five-day period.
CONCLUSION
The proposed method has been shown to reliably quantify stain uptake, providing an effective laboratory quality control method for stain variation. This is especially important for whole slide imaging and the future development of artificial intelligence in digital pathology.
背景
染色组织样本以观察细胞细节和组织结构是病理学诊断的核心,但染色的变化可能导致组织样本的外观有很大差异。虽然人类视觉系统善于补偿染色变化,但随着病理学中数字成像的发展,这种变化的影响可能更加深远。尽管苏木精和伊红染色在全球临床实践中无处不在,但目前还没有客观的定量方法。我们提出了一种定量苏木精和伊红染色评估的方法,以促进组织病理学染色的质量保证,实现真正的定量质量控制和标准化改进。
方法
染色定量方法包括在一侧附有对染色有反应的生物聚合物膜的常规显微镜载玻片,称为染色评估载玻片。用苏木精和伊红对染色评估载玻片进行了特征描述,并在一个临床实验室中实施,以量化染色变化水平。
结果
染色评估载玻片的染色吸收率与苏木精和伊红染色时间呈线性增加(r=0.99),并与人类肝组织样本的染色表现出线性可比性(r 值为 0.98-0.99)。该技术在实验室中的实施,在一时间点和五天的时间跨度内量化了染色仪器的内部和仪器之间的变化。
结论
所提出的方法已被证明能够可靠地定量染色吸收率,为染色变化提供了有效的实验室质量控制方法。这对于全玻片成像和数字病理学中人工智能的未来发展尤为重要。