Identification of Glandular (Acinar)/Tubule Formation in Invasive Carcinoma of the Breast: A Study to Determine Concordance Using the World Health Organization Definition.

Yungtai Lo, Susan C Lester, Ian O Ellis, Sonali Lanjewar, Javier Laurini, Ami Patel, Ava Bhattarai, Berrin Ustun, Bryan Harmon, Celina G Kleer, Dara Ross, Ali Amin, Yihong Wang, Robert Bradley, Gulisa Turashvili, Jennifer Zeng, Jordan Baum, Kamaljeet Singh, Laleh Hakima, Malini Harigopal, Miglena Komforti, Sandra J Shin, Sara E Abbott, Shabnam Jaffer, Sunil Shankar Badve, Thaer Khoury, Timothy M D'Alfonso, Paula S Ginter, Victoria Collins, William Towne, Yujun Gan, Aziza Nassar, Aysegul A Sahin, Andrea Flieder, Rana Aldrees, Marie-Helene Ngo, Ukuemi Edema, Fnu Sapna, Stuart J Schnitt, Susan A Fineberg
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Abstract

Context.—: The Nottingham Grading System (NGS) developed by Elston and Ellis is used to grade invasive breast cancer (IBC). Glandular (acinar)/tubule formation is a component of NGS.

Objective.—: To investigate the ability of pathologists to identify individual structures that should be classified as glandular (acinar)/tubule formation.

Design.—: A total of 58 hematoxylin-eosin photographic images of IBC with 1 structure circled were classified as tubules (41 cases) or nontubules (17 cases) by Professor Ellis. Images were sent as a PowerPoint (Microsoft) file to breast pathologists, who were provided with the World Health Organization definition of a tubule and asked to determine if a circled structure represented a tubule.

Results.—: Among 35 pathologists, the κ statistic for assessing agreement in evaluating the 58 images was 0.324 (95% CI, 0.314-0.335). The median concordance rate between a participating pathologist and Professor Ellis was 94.1% for evaluating 17 nontubule cases and 53.7% for 41 tubule cases. A total of 41% of the tubule cases were classified correctly by less than 50% of pathologists. Structures classified as tubules by Professor Ellis but often not recognized as tubules by pathologists included glands with complex architecture, mucinous carcinoma, and the "inverted tubule" pattern of micropapillary carcinoma. A total of 80% of participants reported that they did not have clarity on what represented a tubule.

Conclusions.—: We identified structures that should be included as tubules but that were not readily identified by pathologists. Greater concordance for identification of tubules might be obtained by providing more detailed images and descriptions of the types of structures included as tubules.

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乳腺浸润性癌中腺体(腺泡)/小管形成的鉴定:使用世界卫生组织定义确定一致性的研究。
背景:Elston 和 Ellis 开发的诺丁汉分级系统 (NGS) 用于对浸润性乳腺癌 (IBC) 进行分级。腺体(针叶)/微管形成是 NGS 的一个组成部分:研究病理学家识别应归类为腺体(针叶)/微管形成的单个结构的能力:Ellis教授将58张IBC的苏木精-伊红摄影图像中圈定的1个结构分类为小管(41例)或非小管(17例)。图像以 PowerPoint(微软)文件的形式发送给乳腺病理学家,并向他们提供世界卫生组织对小管的定义,要求他们判断圈出的结构是否代表小管:在 35 位病理学家中,评估 58 幅图像一致性的 κ 统计量为 0.324(95% CI,0.314-0.335)。参与研究的病理学家与 Ellis 教授在评估 17 个非小管病例时的一致率中位数为 94.1%,在评估 41 个小管病例时的一致率中位数为 53.7%。共有 41% 的小管病例被少于 50% 的病理学家正确分类。被埃利斯教授归类为小管但病理学家通常不认为是小管的结构包括结构复杂的腺体、粘液癌以及微乳头状癌的 "倒置小管 "模式。共有 80% 的参与者表示,他们并不清楚什么是小管:我们发现了一些应被列为小管的结构,但病理学家并不容易识别。通过提供更详细的图像和对小管结构类型的描述,可能会提高小管识别的一致性。
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