We analysed the reproducibility of Ki67 labelling index (LI) between two scorers using the International Ki67 Working Group (IKWG) global methods on an Android application (APP), correlated the APP and eyeball estimate (EBE) with digital image analysis (DIA) scores and determined the prognostic significance of Ki67LI. Global weighted (GW) and global unweighted (GUW) Ki67 app scores of hormone receptor-positive and HER2 (human epidermal growth factor receptor 2)-negative breast cancer patients were obtained. Reproducibility of Ki67LI between 2 scorers and correlation of APP and EBE scores with DIA scores were performed. The prognostic significance of APP scores and its correlation with other clinico-pathologic variables were evaluated. The intra-class correlation coefficient (ICC) between 2 scorers showed excellent reliability with both GW and GUW methods. ICC between DIA and APP scores was significantly greater than DIA versus EBE. The three categories of APP scores based on median value and cut points of 10%, 18% and 38% were significantly associated with poor DFS. On multivariate analysis, significant association between Ki67LI, tumour size, nodal involvement and DFS was noted. Our study shows that the visual Ki67 scoring app is effective in bringing consistency to KI67LI and APP scores showed significant correlation with DFS.

中文翻译：

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Ki67 视觉评分应用程序与眼球估计和数字图像分析相比的可靠性及其在激素受体阳性乳腺癌中的预后意义

我们在 Android 应用程序 (APP) 上使用国际 Ki67 工作组 (IKWG) 全局方法分析了两个评分者之间 Ki67 标记指数 (LI) 的再现性，将 APP 和眼球估计 (EBE) 与数字图像分析 (DIA) 分数相关联并确定 Ki67LI 的预后意义。获得了激素受体阳性和 HER2（人表皮生长因子受体 2）阴性乳腺癌患者的全局加权 (GW) 和全局未加权 (GUW) Ki67 app 评分。进行了 2 位评分者之间 Ki67LI 的再现性以及 APP 和 EBE 评分与 DIA 评分的相关性。评估了 APP 评分的预后意义及其与其他临床病理变量的相关性。2 个评分者之间的类内相关系数 (ICC) 在 GW 和 GUW 方法中都显示出极好的可靠性。DIA 和 APP 评分之间的 ICC 显着高于 DIA 与 EBE。基于中值和 10%、18% 和 38% 的切点的三类 APP 评分与较差的 DFS 显着相关。在多变量分析中，注意到 Ki67LI、肿瘤大小、淋巴结受累和 DFS 之间存在显着关联。我们的研究表明，视觉 Ki67 评分应用程序可以有效地为 KI67LI 带来一致性，并且 APP 评分与 DFS 显着相关。注意到 Ki67LI、肿瘤大小、淋巴结受累和 DFS 之间的显着关联。我们的研究表明，视觉 Ki67 评分应用程序可以有效地为 KI67LI 带来一致性，并且 APP 评分与 DFS 显着相关。注意到 Ki67LI、肿瘤大小、淋巴结受累和 DFS 之间的显着关联。我们的研究表明，视觉 Ki67 评分应用程序可以有效地为 KI67LI 带来一致性，并且 APP 评分与 DFS 显着相关。