Kuperman Michael, Florence Roxanne R, Pantanowitz Liron, Visintainer Paul F, Cibas Edmund S, Otis Christopher N
Department of Pathology, Baystate Medical Center, Tufts University School of Medicine, Springfield, Massachusetts 01199, USA.
Diagn Cytopathol. 2013 Feb;41(2):131-40. doi: 10.1002/dc.21800. Epub 2011 Aug 26.
Distinguishing malignant mesothelioma (MM) from reactive mesothelial hyperplasia (RM) may be difficult in effusions. This study tested the hypothesis that immunocytochemistry (IC) in effusion cell blocks (CB) can distinguish MM from RM and that the results may be applied to individual specimens. External validation of a risk score (RS) model associating sensitivity and specificity was applied to an external set of MM and RM specimens from a separate institution. Forty three effusion cytology CBs of 25 confirmed malignant mesotheliomas were compared to CBs of 23 benign mesothelial effusions without inflammation and 13 reactive mesothelial proliferations associated with inflammation. Glut-1, EMA, and Desmin expression were evaluated by immunocytochemistry on CBs. Each antibody was compared using ROC values, where the area under the curve (AUC) was 0.90, 0.82, and 0.84 for Glut-1, EMA, and Desmin, respectively. Logistic regression (LR) analysis was applied to a combination of Glut-1 and EMA. A combined ROC curve was modeled for Glut-1 and EMA (AUC = 0.93). A RS = 2 × (Glut-1%) + 1 × (EMA%) was created from this ROC curve. When applied to an external set of MM and RM, the RS resulted in an ROC with AUC = 0.91. In conclusion, a RS derived from a LR of Glut-1 and EMA IC greatly improves the distinction between MM from RM cells in individual effusions. The study illustrates principles of evidence-based pathology concerning internal and external test performance in the differential diagnosis of MM versus RM.
在积液中区分恶性间皮瘤(MM)和反应性间皮增生(RM)可能具有挑战性。本研究验证了如下假设:积液细胞块(CB)中的免疫细胞化学(IC)能够区分MM和RM,且研究结果可应用于个体标本。将一个关联敏感性和特异性的风险评分(RS)模型应用于来自另一机构的一组外部MM和RM标本进行外部验证。将25例确诊恶性间皮瘤的43份积液细胞学CB与23份无炎症的良性间皮积液CB以及13份与炎症相关的反应性间皮增生CB进行比较。通过免疫细胞化学对CB评估Glut-1、EMA和结蛋白的表达。使用ROC值比较每种抗体,其中Glut-1、EMA和结蛋白的曲线下面积(AUC)分别为0.90、0.82和0.84。对Glut-1和EMA的组合应用逻辑回归(LR)分析。为Glut-1和EMA构建联合ROC曲线(AUC = 0.93)。根据该ROC曲线创建RS = 2×(Glut-1%)+ 1×(EMA%)。当应用于一组外部MM和RM时,RS得到的ROC曲线AUC = 0.91。总之,由Glut-1和EMA免疫细胞化学的LR得出的RS极大地改善了个体积液中MM与RM细胞的区分。该研究阐述了基于证据的病理学原理,涉及MM与RM鉴别诊断中内部和外部检测性能。