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用于组织生物标志物的定量图像分析:数字病理协会白皮书

Quantitative Image Analysis for Tissue Biomarker Use: A White Paper From the Digital Pathology Association.

作者信息

Lara Haydee, Li Zaibo, Abels Esther, Aeffner Famke, Bui Marilyn M, ElGabry Ehab A, Kozlowski Cleopatra, Montalto Michael C, Parwani Anil V, Zarella Mark D, Bowman Douglas, Rimm David, Pantanowitz Liron

机构信息

GlaxoSmithKline-R&D, Cellular Biomarkers, Collegeville, PA.

The Ohio State University, Columbus, OH.

出版信息

Appl Immunohistochem Mol Morphol. 2021 Aug 1;29(7):479-493. doi: 10.1097/PAI.0000000000000930.

Abstract

Tissue biomarkers have been of increasing utility for scientific research, diagnosing disease, and treatment response prediction. There has been a steady shift away from qualitative assessment toward providing more quantitative scores for these biomarkers. The application of quantitative image analysis has thus become an indispensable tool for in-depth tissue biomarker interrogation in these contexts. This white paper reviews current technologies being employed for quantitative image analysis, their application and pitfalls, regulatory framework demands, and guidelines established for promoting their safe adoption in clinical practice.

摘要

组织生物标志物在科学研究、疾病诊断和治疗反应预测中的应用越来越广泛。对于这些生物标志物,已逐渐从定性评估转向提供更多的定量评分。因此,定量图像分析的应用已成为在这些情况下深入研究组织生物标志物不可或缺的工具。本白皮书回顾了目前用于定量图像分析的技术、其应用和陷阱、监管框架要求以及为促进其在临床实践中的安全应用而制定的指南。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c4e7/8354563/41ce6cdee254/pai-29-479-g001.jpg

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