组织病理学的空间分析:统计学方法

Suvadip Mukherjee, V. Meas-Yedid, M. Bokobza, T. Lagache, A. Corthay, J. Olivo-Marin
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引用次数: 0

摘要

提出了一种模式分析方法来模拟肿瘤微环境中免疫细胞与癌细胞胰岛之间的空间相互作用。在统计零假设范式中,该解决方案提供了一种新的机制,可以在免疫治疗期间提取肿瘤微环境的定量、系统级快照。合成和真实组织病理学数据的实验结果表明,我们的技术在癌症治疗期间不同时间点从免疫细胞的空间分布中挖掘可靠信息的潜力。这一统计框架有可能在未来的大规模实验研究中被采用,以客观地监测疾病进展和患者对免疫治疗的反应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatial Analysis For Histopathology: A Statistical Approach
A pattern analysis approach is proposed to model spatial interaction between the immune cells and the islets of cancer cells within the tumor microenvironment. Embedded in a statistical null hypothesis paradigm, the proposed solution provides a novel mechanism to extract quantitative, system-level snap-shot of the tumor microenvironment during immunotherapy. Experimental results on synthetic and real histopathological data suggest the potential of our technique in mining robust information from the spatial distribution of immune cells at different time-points during cancer treatment. This statistical framework could be potentially adopted in future large-scale experimental studies to objectively monitor disease progression and the patient’s response to immune therapy.
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