Singh Aminder, Narang Vikram, Soni Ankita, Angural Kajal, Jindal Saveena, Garg Bhavna, Kaur Harpreet
Department of Pathology, Dayanand Medical College and Hospital, Ludhiana, Punjab, India.
Iran J Pathol. 2024 Winter;19(1):75-80. doi: 10.30699/IJP.2024.2008346.3150. Epub 2024 Mar 29.
An accurate Ki-67 labeling index assessment is critical for managing a few tumors, like breast carcinomas and neuroendocrine tumors. We aimed to determine the degree of agreement between digital image analysis (DIA) and eye-rolling assessment (EE) and DIA and manual count (MC) for Ki-67 LI scoring.
A total of 120 cases (both tru-cut biopsies and resected specimens) were selected during the study period from the institutional database, wherein the Ki-67 labeling index was performed. The selected cases were divided into two groups, i.e., breast neoplasms and other neoplasms. The correlation between DIA and EE and DIA and MC for Ki-67 LI scoring was calculated in both groups.
A total of 113 cases were analyzed for Ki-67 LI by three different methods (EE, MC, and DIA); 7 cases were rejected due to poor image quality. Ki-67 LI scoring by DIA and EE was highly correlated in both study groups with a Spearman's rank correlation coefficient of 0.809 (=0.01) and 0.904 (=0.01), respectively. Correlation between DIA and MC methods was also found to be almost perfect in both study groups with a Spearman's rank correlation coefficient of 0.974 (=0.01) and 0.955 (=0.01), respectively.
ImmunoRatio is a free web-based digital image analysis application that can be used for Ki-67 LI assessment with considerable reliability and reproducibility. Yet, it carries a few limitations and demands a careful approach and final confirmation by an expert.
准确评估Ki-67标记指数对于管理某些肿瘤（如乳腺癌和神经内分泌肿瘤）至关重要。我们旨在确定数字图像分析（DIA）与人工目测评估（EE）以及DIA与手工计数（MC）在Ki-67标记指数（LI）评分方面的一致性程度。
在研究期间从机构数据库中选取了120例病例（包括粗针活检和切除标本），并对其进行Ki-67标记指数检测。所选病例分为两组，即乳腺肿瘤和其他肿瘤。在两组中分别计算DIA与EE以及DIA与MC在Ki-67 LI评分方面的相关性。
通过三种不同方法（EE、MC和DIA）对总共113例病例进行了Ki-67 LI分析；7例因图像质量差被排除。在两个研究组中，DIA与EE的Ki-67 LI评分高度相关，Spearman等级相关系数分别为0.809（P<0.01）和0.904（P<0.）。在两个研究组中，DIA与MC方法之间的相关性也几乎为完美，Spearman等级相关系数分别为0.974（P<0.01）和0.955（P<0.01）。
ImmunoRatio是一款基于网络的免费数字图像分析应用程序，可用于Ki-67 LI评估，具有较高的可靠性和可重复性。然而，它也有一些局限性，需要谨慎使用并由专家进行最终确认。
