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乳腺柱状细胞病变的病理诊断:是否存在可重复性问题?

Pathological diagnosis of columnar cell lesions of the breast: are there issues of reproducibility?

作者信息

Tan P H, Ho B C-S, Selvarajan S, Yap W M, Hanby A

机构信息

Histopathology Section, Department of Pathology, Singapore General Hospital, Outram Road, Singapore 169608.

出版信息

J Clin Pathol. 2005 Jul;58(7):705-9. doi: 10.1136/jcp.2004.025239.

Abstract

AIMS

To assess inter/intraobserver variability in the interpretation of a series of digitised images of columnar cell lesions (CCLs) of the breast.

METHODS

After a tutorial on breast CCL, 39 images were presented to seven staff pathologists, who were instructed to categorize the lesions as follows: 0, no columnar cell change (CCC) or ductal carcinoma in situ (DCIS); 1, CCC; 2, columnar cell hyperplasia; 3, CCC with architectural atypia; 4, CCC with cytological atypia; 5, DCIS. Concordance with the tutor's diagnosis and degree of agreement among pathologists for each image were determined. The same set of images was re-presented to the pathologists one week later, their diagnoses collated, and inter/intraobservor reproducibility and level of agreement for individual images analysed.

RESULTS

Diagnostic reproducibility with the tutor ranged from moderate to substantial (kappa values, 0.439-0.697) in the first exercise. At repeat evaluation, intraobserver agreement was fair to perfect (kappa values, 0.271-0.832), whereas concordance with the tutor varied from fair to substantial (kappa values, 0.334-0.669). There was unanimous agreement on more images during the second exercise, mainly because of agreement on the diagnosis of DCIS. The lowest agreement was seen for CCC with cytological atypia.

CONCLUSIONS

Interobserver and intraobserver agreement is good for DCIS, but more effort is needed to improve diagnostic consistency in the category of CCC with cytological atypia. Continued awareness and study of these lesions are necessary to enhance recognition and understanding.

摘要

目的

评估乳腺柱状细胞病变(CCL)一系列数字化图像解读中的观察者间/观察者内变异性。

方法

在进行关于乳腺CCL的培训后,向7名病理科工作人员展示了39张图像,要求他们将病变分类如下:0,无柱状细胞改变(CCC)或导管原位癌(DCIS);1,CCC;2,柱状细胞增生;3,具有结构异型性的CCC;4,具有细胞学异型性的CCC;5,DCIS。确定与指导教师诊断的一致性以及病理学家对每张图像的一致程度。一周后,将同一组图像再次展示给病理学家,整理他们的诊断结果,并分析个体图像的观察者间/观察者内再现性和一致程度。

结果

在第一次操作中,与指导教师的诊断再现性从中度到高度(kappa值,0.439 - 0.697)。在重复评估时,观察者内一致性从一般到完美(kappa值,0.271 - 0.832),而与指导教师的一致性从一般到高度(kappa值,0.334 - 0.669)。在第二次操作中,对更多图像达成了一致意见,主要是因为对DCIS的诊断达成了一致。具有细胞学异型性的CCC的一致性最低。

结论

观察者间和观察者内对DCIS的一致性良好,但需要更多努力来提高具有细胞学异型性的CCC类别的诊断一致性。持续关注和研究这些病变对于提高识别和理解能力是必要的。

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