Department of Pathology and ARUP Laboratories, 84112, USA.
Division of Gastroenterology, 84112, USA.
Hum Pathol. 2023 Jul;137:25-35. doi: 10.1016/j.humpath.2023.04.002. Epub 2023 Apr 11.
Colonic SSLs are thought to predispose to ∼30% of colonic adenocarcinomas. This increased risk, compared to benign HPs, makes their distinction vitally important. However, no gold standard exists to differentiate them, and wide observer variability is reported. To better distinguish these polyps, we investigated 94 serrated polyps (53 SSLs and 41 HPs) using an easy-to-apply pathologic scoring system that combines, for the first time, three established distinguishing features: polyp morphology, location, and size. As an additional novel approach, polyp size was assessed by serrated biopsy number compared to endoscopic size. RNA expression profiling served as an additional biomarker. The considerable morphologic overlap across serrated polyps was quantitated for the first time. Interobserver variability was assessed by 8 expert gastrointestinal pathologists. By ROC analysis, polyp size by biopsy number performed best, followed by polyp location and morphology (areas under the curves [AUCs] = 85.9%, 81.2%, and 65.9%, respectively). Optimal discrimination combined all 3 features (AUC = 92.9%). For polyp size, the biopsy number proved superior to endoscopic size (AUC = 85.9% versus 55.2%, P = .001). Interobserver variability analysis yielded the highest reported Fleiss and Kappa statistics (0.879) and percent agreement (96.8%), showing great promise toward improved diagnosis. The proposed 3-criteria pathologic system, combining size by biopsy number, location, and morphology, yields an improved, easy-to-use, and highly reproducible diagnostic approach for differentiating SSLs and HPs.
结肠 SSL 被认为易患约 30%的结肠腺癌。与良性 HPs 相比,这种风险增加使得区分它们至关重要。然而,目前还没有区分它们的金标准,并且报道了广泛的观察者变异性。为了更好地区分这些息肉,我们使用一种易于应用的病理评分系统研究了 94 个锯齿状息肉(53 个 SSL 和 41 个 HPs),该系统首次结合了三个已确立的鉴别特征:息肉形态、位置和大小。作为一种额外的新颖方法,息肉大小通过锯齿状活检数量与内镜大小进行评估。RNA 表达谱作为额外的生物标志物。首次定量评估锯齿状息肉之间的形态重叠。通过 8 位专家胃肠病理学家评估观察者间变异性。通过 ROC 分析,活检数量的息肉大小表现最佳,其次是息肉位置和形态(曲线下面积 [AUCs] = 85.9%、81.2%和 65.9%)。最佳鉴别组合了所有 3 个特征(AUC = 92.9%)。对于息肉大小,活检数量优于内镜大小(AUC = 85.9% 与 55.2%,P = 0.001)。观察者间变异性分析得出了最高的 Fleiss 和 Kappa 统计量(0.879)和百分比一致性(96.8%),显示出朝着提高诊断的巨大潜力。结合活检数量、位置和形态的 3 项标准病理系统,为区分 SSL 和 HPs 提供了一种改进的、易于使用且高度可重复的诊断方法。