Suppr超能文献

乳腺癌中Ki67视觉评估的观察者间可重复性分析

An interobserver reproducibility analysis of Ki67 visual assessment in breast cancer.

作者信息

Shui Ruohong, Yu Baohua, Bi Rui, Yang Fei, Yang Wentao

机构信息

Department of Pathology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China.

出版信息

PLoS One. 2015 May 1;10(5):e0125131. doi: 10.1371/journal.pone.0125131. eCollection 2015.

Abstract

BACKGROUND

Ki67 labeling index (LI) is used as a predictive marker and is associated with prognosis in breast cancer. However, standardised methodologies for measurement are lacking which has limited its application in clinical practice. In this study, we evaluated the interobserver concordance of visual assessment of Ki67 LI in breast cancer.

METHODS

Ki67-immunostained slides of 160 cases of primary invasive breast cancer were visual assessed by five breast pathologists with two different methods to choose the scoring fields: (1) hot-spot score, (2) average score. Proportions of positive invasive tumor cells at 10 % intervals were scored. The intra-class correlation coefficient (ICC) was used to assess the interobserver reproducibility.

RESULTS

(1) A perfect concordance of Ki67 LI was demonstrated according to both score methods (P<0.0001). Average score method (ICC, 0.904) demonstrated a better correlation than hot-spot score method (ICC, 0.894). (2) By respective means according to two score methods, all cases were classified into three groups (≤10%, 11%-30% and >30% Ki-67 LI). The concordance was relatively low in intermediate Ki67 LI group compared with low and high Ki67 LI groups. (3) All cases were classified into three groups by paired-difference (d) between means of hot-spot score and average score (d<5, 5≤d<10, d≥10). The consistency was observed to decrease with increasing paired-difference according to both methods.

CONCLUSIONS

Visual assessment of Ki67 LI at 10 % intervals is a candidate for a standard method in breast cancer clinical practice. Average score and hot-spot score of visual assessment both demonstrated a perfect concordance, and an overall average assessment across the whole section including hot spots may be a better method. Interobserver concordance of intermediate Ki67 LI in which most cutoffs are located for making clinical decisions was relatively low.

摘要

背景

Ki67标记指数(LI)用作预测标志物,与乳腺癌的预后相关。然而,缺乏标准化的测量方法,这限制了其在临床实践中的应用。在本研究中,我们评估了乳腺癌中Ki67 LI视觉评估的观察者间一致性。

方法

160例原发性浸润性乳腺癌的Ki67免疫染色切片由五位乳腺病理学家采用两种不同方法进行视觉评估,以选择评分区域:(1)热点评分,(2)平均评分。对10%间隔的阳性浸润性肿瘤细胞比例进行评分。组内相关系数(ICC)用于评估观察者间的可重复性。

结果

(1)两种评分方法均显示Ki67 LI具有完美的一致性(P<0.0001)。平均评分法(ICC,0.904)显示出比热点评分法(ICC,0.894)更好的相关性。(2)根据两种评分方法的各自均值,所有病例分为三组(Ki-67 LI≤10%、11%-30%和>30%)。与低Ki67 LI组和高Ki67 LI组相比,中间Ki67 LI组的一致性相对较低。(3)根据热点评分和平均评分均值之间的配对差异(d)将所有病例分为三组(d<5、5≤d<10、d≥10)。两种方法均观察到一致性随配对差异增加而降低。

结论

以10%间隔对Ki67 LI进行视觉评估是乳腺癌临床实践中标准方法的一个候选。视觉评估的平均评分和热点评分均显示出完美的一致性,包括热点在内的整个切片的总体平均评估可能是更好的方法。大多数临床决策切点所在的中间Ki67 LI的观察者间一致性相对较低。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/455f/4416820/467221e64490/pone.0125131.g001.jpg

相似文献

1
An interobserver reproducibility analysis of Ki67 visual assessment in breast cancer.
PLoS One. 2015 May 1;10(5):e0125131. doi: 10.1371/journal.pone.0125131. eCollection 2015.
2
A Comparison of Visual Assessment and Automated Digital Image Analysis of Ki67 Labeling Index in Breast Cancer.
PLoS One. 2016 Feb 29;11(2):e0150505. doi: 10.1371/journal.pone.0150505. eCollection 2016.
4
An interobserver reproducibility analysis of size-set semiautomatic counting for Ki67 assessment in breast cancer.
Breast. 2020 Feb;49:225-232. doi: 10.1016/j.breast.2019.12.009. Epub 2019 Dec 20.
5
6
Visual assessment of Ki67 at a glance is an easy method to exclude many luminal-type breast cancers from counting 1000 cells.
Breast Cancer. 2015 Mar;22(2):129-34. doi: 10.1007/s12282-013-0460-8. Epub 2013 Mar 31.
7
Variability in measuring the Ki-67 labeling index in patients with breast cancer.
Clin Breast Cancer. 2015 Feb;15(1):e35-9. doi: 10.1016/j.clbc.2014.09.005. Epub 2014 Oct 22.
10
Reliability of the Ki67-Labelling Index in Core Needle Biopsies of Luminal Breast Cancers is Unaffected by Biopsy Volume.
Ann Surg Oncol. 2017 May;24(5):1251-1257. doi: 10.1245/s10434-016-5730-1. Epub 2016 Dec 22.

引用本文的文献

2
Ki-67 as a Prognostic Marker in Squamous Cell Carcinomas of the Vulva: A Systematic Review.
J Clin Med. 2025 Mar 17;14(6):2045. doi: 10.3390/jcm14062045.
3
The Ki67 dilemma: investigating prognostic cut-offs and reproducibility for automated Ki67 scoring in breast cancer.
Breast Cancer Res Treat. 2024 Aug;207(1):1-12. doi: 10.1007/s10549-024-07352-4. Epub 2024 May 26.
4
Automated AI-based grading of neuroendocrine tumors using Ki-67 proliferation index: comparative evaluation and performance analysis.
Med Biol Eng Comput. 2024 Jun;62(6):1899-1909. doi: 10.1007/s11517-024-03045-8. Epub 2024 Feb 27.
6
Subspecialized breast pathologists have suboptimal interobserver agreement in Ki-67 evaluation using 20% as the cutoff.
Breast Cancer Res Treat. 2024 Apr;204(2):415-422. doi: 10.1007/s10549-023-07197-3. Epub 2023 Dec 29.
7
Scoring Systems for Immunohistochemistry in Urothelial Carcinoma.
Methods Mol Biol. 2023;2684:3-25. doi: 10.1007/978-1-0716-3291-8_1.
8
9
Deep learning for the standardized classification of Ki-67 in vulva carcinoma: A feasibility study.
Heliyon. 2021 Jul 15;7(7):e07577. doi: 10.1016/j.heliyon.2021.e07577. eCollection 2021 Jul.

本文引用的文献

2
Distribution pattern of the Ki67 labelling index in breast cancer and its implications for choosing cut-off values.
Breast. 2014 Jun;23(3):259-63. doi: 10.1016/j.breast.2014.02.003. Epub 2014 Mar 7.
3
An international Ki67 reproducibility study.
J Natl Cancer Inst. 2013 Dec 18;105(24):1897-906. doi: 10.1093/jnci/djt306. Epub 2013 Nov 7.
5
6
Ki67 measured after neoadjuvant chemotherapy for primary breast cancer.
Clin Cancer Res. 2013 Aug 15;19(16):4521-31. doi: 10.1158/1078-0432.CCR-12-3628. Epub 2013 Jun 27.
7
Visual assessment of Ki67 at a glance is an easy method to exclude many luminal-type breast cancers from counting 1000 cells.
Breast Cancer. 2015 Mar;22(2):129-34. doi: 10.1007/s12282-013-0460-8. Epub 2013 Mar 31.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验