A bottom-up initiated digital external quality assessment scheme for the state-of-the-art pathology in Sweden: reduced variability between pathology departments.

IF 3.1 3区 医学 Q1 PATHOLOGY Virchows Archiv Pub Date : 2025-02-28 DOI:10.1007/s00428-025-04059-9
Gunilla Rask, Helena Olofsson, Annette Bauer, Anna Bodén, Johannes van Brakel, Eugenia Colón-Cervantes, Anna Ehinger, Anikó Kovács, Åsa Rundgren-Sellei, Johan Hartman, Josefin Ågren, Eva Darai-Ramqvist, Charlotta Andersson, Christina Kåbjörn Gustafsson, Balazs Acs
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Abstract

External quality assessment (EQA) schemes for pathology are essential, yet large/international programmes do not assess morphology-based biomarkers or address local/regional needs. This study outlines bottom-up initiated, flexible Swedish Digital Pathology EQA rounds for breast pathology, and presents results from the 2021 and 2023 rounds. Six breast carcinoma cases were selected for each EQA round by the Swedish Breast Pathology Expert Group (KVAST Breast). Whole tissue slides stained with HE, IHC, and ISH were anonymized, digitized, and uploaded to the digital EQA platform. Biomarkers were selected based on national registry data analysis and pathologist and clinician feedback. The 2021 round assessed Nottingham grade (NHG), oestrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2), while the 2023 round focused on NHG, HER2-low, and global Ki67. Twenty-seven pathology departments participated. From 2021 to 2023, the variability of NHG assessment on digital slides improved from moderate to substantial (kappa 0.50; 95% CI 0.45-0.55 to 0.64; 95% CI 0.60-0.68), with better agreement for NHG3 than NHG1. Participants showed substantial and excellent agreement in ER (kappa 1) and PR (0.75 (95% CI 0.69-0.82). We found similar agreement in distinguishing HER2 IHC 0 (0.78; 95% CI 0.72-0.82) and HER2 IHC 3 + (0.94; 95% CI 0.88-1.00) from other HER2 IHC scores. Participants showed substantial agreement in detecting Ki67 high and Ki67 low cases (kappa 0.65; 95% CI 0.60-0.71 and 0.69; 95% CI 0.64-0.74, respectively). This digital EQA identifies local issues and complements large international EQAs to address challenges in the rapidly changing biomarkers of cancer therapy.

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瑞典最先进的病理学自下而上发起的数字外部质量评估方案:减少病理部门之间的可变性。
病理学的外部质量评估(EQA)方案是必不可少的,但大型/国际项目不评估基于形态的生物标志物或解决当地/区域需求。本研究概述了自下而上发起的、灵活的瑞典数字病理学乳腺病理EQA轮次,并介绍了2021年和2023年轮次的结果。每轮EQA由瑞典乳腺病理专家组(KVAST breast)选出6例乳腺癌病例。用HE、IHC和ISH染色的全组织切片匿名化、数字化并上传到数字化EQA平台。生物标志物的选择基于国家登记数据分析和病理学家和临床医生的反馈。2021轮评估了诺丁汉级(NHG)、雌激素受体(ER)、孕激素受体(PR)和人表皮生长因子受体2 (HER2),而2023轮评估侧重于NHG、HER2-low和全球Ki67。27个病理科参与。从2021年到2023年,数字幻灯片上NHG评估的变异性从中等改善到实质性改善(kappa 0.50;95% CI 0.45-0.55 ~ 0.64;95% CI 0.60-0.68), NHG3的一致性优于NHG1。参与者在ER (kappa 1)和PR (0.75) (95% CI 0.69-0.82)上表现出大量和极好的一致性。我们发现在区分HER2 IHC 0 (0.78;95% CI 0.72-0.82)和HER2 IHC 3 + (0.94;95% CI 0.88-1.00)与其他HER2 IHC评分比较。参与者在检测Ki67高和Ki67低病例方面表现出实质性的一致性(kappa 0.65;95% CI分别为0.60-0.71和0.69;95% CI分别为0.64-0.74)。这个数字EQA识别了本地问题,并补充了大型国际EQA,以应对快速变化的癌症治疗生物标志物的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Virchows Archiv
Virchows Archiv 医学-病理学
CiteScore
7.40
自引率
2.90%
发文量
204
审稿时长
4-8 weeks
期刊介绍: Manuscripts of original studies reinforcing the evidence base of modern diagnostic pathology, using immunocytochemical, molecular and ultrastructural techniques, will be welcomed. In addition, papers on critical evaluation of diagnostic criteria but also broadsheets and guidelines with a solid evidence base will be considered. Consideration will also be given to reports of work in other fields relevant to the understanding of human pathology as well as manuscripts on the application of new methods and techniques in pathology. Submission of purely experimental articles is discouraged but manuscripts on experimental work applicable to diagnostic pathology are welcomed. Biomarker studies are welcomed but need to abide by strict rules (e.g. REMARK) of adequate sample size and relevant marker choice. Single marker studies on limited patient series without validated application will as a rule not be considered. Case reports will only be considered when they provide substantial new information with an impact on understanding disease or diagnostic practice.
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