Computer-Aided Quantitative Image Analysis of Multiple Human Epidermal Growth Factor Receptor 2 Immunohistochemistry Assays in Breast Carcinoma.

Mélissande Cossutta, Birgit Truumees, Alexandre Papine, Heidi Lykke Kristoffersen, Ekaterina Tatarinova, Lise Emanuelsen, Charles Homsy, Françoise Soussaline, Søren Nielsen
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Abstract

Context.—: Quantitative image analysis (QIA) is increasingly applied for immunohistochemistry (IHC)-based biomarker assessment in pathology. With the introduction of drugs targeting breast carcinomas (BCs) with low human epidermal growth factor receptor 2 (HER2) expression levels, a need for more accurate and reproducible HER2 scoring is warranted. QIA has the potential to increase HER2 IHC scoring reproducibility. However, QIA reproducibility should be agnostic and uninfluenced by different IHC assays.

Objective.—: To compare HER2 scoring accuracy and reproducibility by expert pathologists and QIA in BCs analyzed with different IHC assays.

Design.—: Algorithm parameters of the QIA method were developed by using 183 slides from 6 Nordic immunohistochemical Quality Control (NordiQC) HER2 runs. The QIA method was then validated on 409 slides from 2 other runs. HER2 scores obtained by visual scoring, following 2023 European Society for Medical Oncology and American Society of Clinical Oncology/College of American Pathologists guidelines or by QIA, were compared.

Results.—: Visual scoring and QIA reached 86% (κ = 0.81) overall scoring agreement for tissue cores in the final validation material. QIA showed 98% (95% CI, 97.8%-99.0%) sensitivity and 84% (95% CI, 80.3%-87.6%) specificity for the distinction between HER2 0 (no drug candidate) and HER2 1-3+ (drug candidates) scores. Ninety-nine percent (95% CI, 98.7%-99.9%) sensitivity and 100% (95% CI, 99.8%-100%) specificity were obtained for the separation between HER2 2-3+ in situ hybridization (ISH)-positive cores (HER2 classical overexpression) and HER2 0-2+ ISH-negative cores (HER2-low expression range).

Conclusions.—: Our QIA method can be beneficial to use as a reliable HER2 scoring tool for HER2 classical overexpression and HER2-low in BCs. It was found to be agnostic and provided same accuracy irrespective of IHC assay applied.

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乳腺癌中多种人表皮生长因子受体2免疫组化检测的计算机辅助定量图像分析。
上下文。定量图像分析(QIA)越来越多地应用于基于免疫组织化学(IHC)的病理生物标志物评估。随着针对人表皮生长因子受体2 (HER2)表达水平低的乳腺癌(BCs)的药物的引入,需要更准确和可重复的HER2评分。QIA有可能提高HER2 IHC评分的可重复性。然而,QIA的可重复性应该是不可知的,不受不同免疫组化试验的影响。目的:比较病理学专家和QIA在不同免疫组化法分析的bc中HER2评分的准确性和可重复性。-:通过6次北欧免疫组织化学质量控制(NordiQC) HER2运行的183张载玻片,建立QIA方法的算法参数。QIA方法随后在另外2次运行的409张载玻片上进行验证。根据2023年欧洲肿瘤医学学会和美国临床肿瘤学会/美国病理学家学会指南或QIA,通过视觉评分获得的HER2评分进行比较。-:最终验证材料中组织芯的视觉评分和QIA总体评分一致性达到86% (κ = 0.81)。QIA对HER2 0(无候选药物)和HER2 1-3+(候选药物)评分的区分灵敏度为98% (95% CI, 97.8%-99.0%),特异性为84% (95% CI, 80.3%-87.6%)。分离HER2 2-3+原位杂交(ISH)阳性核心(HER2经典过表达)和HER2 0-2+ ISH阴性核心(HER2低表达范围)的灵敏度为99% (95% CI, 98.7% ~ 99.9%),特异性为100% (95% CI, 99.8% ~ 100%)。-:我们的QIA方法可以作为一种可靠的HER2评分工具,用于检测bc中HER2经典过表达和HER2低表达。它被发现是不可知论的,并提供相同的准确性,无论应用免疫组化分析。
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