Pathology Imagebase-a reference image database for standardization of pathology
Pathology Imagebase-a reference image database for standardization of pathology
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DOI：
10.1111/his.13313
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发表时间：
2017-11-01
期刊：
影响因子：
6.4
通讯作者：
Delahunt, Brett
中科院分区：
文献类型：
--
作者：
Egevad, Lars;Cheville, John;Delahunt, Brett
目的：尽管努力通过制定指南来标准化组织病理学实践，但对形态学的解释仍然受到主观性的阻碍。本文描述了病理图像库，这是一种建立病理标本解释国际标准的新机制。方法和结果：国际泌尿病理学会(ISUP)通过该领域专家的输入建立了参考图像数据库。成立了三个小组，分别负责前列腺、膀胱和肾脏病理，由24名国际专家组成。每个小组成员都将案件的显微照片上传到一个非公开数据库。剩下的23名专家被要求从多项选择菜单中投票。在投票之前和投票时，小组成员无法查阅其他专家的投票结果。当达到至少三分之二或16票的共识水平时，案件自动转移到主数据库。在五个项目中，共有287例就前列腺癌、膀胱癌和肾癌的分级以及肾肿瘤和膀胱扁平病变的分类达成了共识。完整的数据库可在www.isupweb.org上向所有ISUP成员开放。非成员可以访问选定数量的病例。结论：预计该数据库将帮助病理学家校准他们的分级，并将促进疑难病例诊断的一致性。
Aims: Despite efforts to standardize histopathology practice through the development of guidelines, the interpretation of morphology is still hampered by subjectivity. We here describe Pathology Imagebase, a novel mechanism for establishing an international standard for the interpretation of pathology specimens.Methods and results: The International Society of Urological Pathology (ISUP) established a reference image database through the input of experts in the field. Three panels were formed, one each for prostate, urinary bladder and renal pathology, consisting of 24 international experts. Each of the panel members uploaded microphotographs of cases into a non-public database. The remaining 23 experts were asked to vote from a multiple-choice menu. Prior to and while voting, panel members were unable to access the results of voting by the other experts. When a consensus level of at least two-thirds or 16 votes was reached, cases were automatically transferred to the main database. Consensus was reached in a total of 287 cases across five projects on the grading of prostate, bladder and renal cancer and the classification of renal tumours and flat lesions of the bladder. The full database is available to all ISUP members at www.isupweb.org. Non-members may access a selected number of cases.Conclusions: It is anticipated that the database will assist pathologists in calibrating their grading, and will also promote consistency in the diagnosis of difficult cases.