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临床实验工作中病理学家和实验室的评分和报告的质量保证指南。

Quality assurance guidance for scoring and reporting for pathologists and laboratories undertaking clinical trial work.

机构信息

Centre for Oral Health Research, Newcastle University, Newcastle upon Tyne, UK.

School of Medicine, Dentistry and Biomedical Sciences, Centre for Cancer Research and Cell Biology, Institute for Health Sciences, Queen's University Belfast, Belfast, UK.

出版信息

J Pathol Clin Res. 2019 Apr;5(2):91-99. doi: 10.1002/cjp2.121. Epub 2018 Nov 29.

Abstract

While pathologists have always played a pivotal role in clinical trials ensuring accurate diagnosis and staging, pathology data from prognostic and predictive tests are increasingly being used to enrol, stratify and randomise patients to experimental treatments. The use of pathological parameters as primary and secondary outcome measures, either as standalone classifiers or in combination with clinical data, is also becoming more common. Moreover, reporting of estimates of residual disease, termed 'pathological complete response', have been incorporated into neoadjuvant clinical trials. Pathologists have the expertise to deliver this essential information and they also understand the requirements and limitations of laboratory testing. Quality assurance of pathology-derived data builds confidence around trial-specific findings and is necessarily focused on the reproducibility of pathological data, including 'estimates of uncertainty of measurement', emphasising the importance of pathologist education, training, calibration and demonstration of satisfactory inter-observer agreement. There are also opportunities to validate objective image analysis tools alongside conventional histological assessments. The ever-expanding portfolio of clinical trials will demand more pathologist engagement to deliver the reliable evidence-base required for new treatments. We provide guidance for quality assurance of pathology scoring and reporting in clinical trials.

摘要

虽然病理学家在临床试验中一直扮演着关键角色,以确保准确的诊断和分期,但预测和预后检测的病理数据越来越多地被用于招募、分层和随机分配患者接受实验性治疗。将病理参数用作主要和次要结局指标,无论是单独的分类器还是与临床数据相结合,也越来越常见。此外,残余疾病的报告,称为“病理完全缓解”,已被纳入新辅助临床试验。病理学家拥有提供这些重要信息的专业知识,他们也了解实验室检测的要求和限制。病理数据的质量保证建立了对特定于试验的发现的信心,并且必然集中在病理数据的可重复性上,包括“测量不确定度的估计”,强调病理学家教育、培训、校准和令人满意的观察者间一致性的重要性。还有机会验证与传统组织学评估并行的客观图像分析工具。不断扩大的临床试验组合将需要更多病理学家的参与,以提供新治疗所需的可靠证据基础。我们为临床试验中的病理评分和报告提供了质量保证指南。

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