十二指肠活检审计:诊断的相对频率,指示严重病理的申请表关键词,以及上皮内淋巴细胞增多症的潜在诊断,作为开发人工智能诊断方法的基础

IF 3 3区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Vrinda Shenoy, Jessica L James, Amelia B Williams-Walker, Nasyen P R Madhan Mohan, Kim N Luu Hoang, Josephine Williams, Florian Jaeckle, Shelley C Evans, Elizabeth J Soilleux
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引用次数: 0

摘要

背景/目的:在开发基于人工智能(AI)的诊断策略以实现十二指肠活检的自动诊断之前,了解诊断前景至关重要。本研究旨在(1)确定在大型三级转诊中心的内镜下十二指肠活检中不同诊断的频率;(2)在组织病理学申请表上识别可能表明活检可能包含严重病理,不应由人工智能系统诊断的关键词;(3)调查显示可能为乳糜泻的“上皮内淋巴细胞增多”的病例比例。方法:为了达到这一目的,我们审核了本中心18个月的十二指肠活检报告。结果:共发现6245例十二指肠活检,其中73.76%正常,至少8.84%属于乳糜泻。此外,6.47%为非特异性炎症,1.86%为腺瘤,0.45%为癌,0.06%为神经内分泌肿瘤,0.10%为淋巴瘤,0.03%为扁平异型增生,总共有0.64%的异型增生或恶性诊断。罕见的诊断包括溃疡、幽门螺杆菌感染、贾第虫病、淋巴管扩张、移植排斥和淋巴瘤。此外,227例(3.63%)活检显示孤立的上皮内淋巴细胞增多,其中33例(14.5%)给出了乳糜泻的整体临床病理图像。结论:我们提出了第一个长期审计所有内镜十二指肠活检收到的组织病理学部门的三级保健设施。结果表明,一个能够识别正常十二指肠活检和乳糜泻相关肠病谱内活检的全自动诊断组织病理学报告系统可以将病理学家的内镜十二指肠活检工作量减少多达80%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Duodenal Biopsy Audit: Relative Frequency of Diagnoses, Key Words on Request Forms Indicating Severe Pathology, and Potential Diagnoses for Intraepithelial Lymphocytosis, as a Foundation for Developing Artificial Intelligence Diagnostic Approaches.

Background/Objectives: Understanding the diagnostic landscape is essential prior to developing artificial intelligence (AI)-based diagnostic strategies for automating the diagnosis of duodenal biopsies. This study aims to (1) determine the frequencies of different diagnoses seen in endoscopic duodenal biopsies in a large, tertiary referral centre; (2) identify key words on histopathology request forms that could indicate that a biopsy may contain a serious pathology and should not be diagnosed by an AI system; and (3) investigate the proportion of cases described as showing "intraepithelial lymphocytosis" that might be coeliac disease. Methods: To achieve this, we audited 18 months' worth of duodenal biopsy reports in our centre. Results: A total of 6245 duodenal biopsies were identified, of which 73.76% were normal and at least 8.84% fell within the spectrum of coeliac disease. Additionally, 6.47% were classified as showing non-specific inflammation, 1.86% were adenomas, 0.45% were carcinomas, 0.06% were neuroendocrine tumours, 0.10% were lymphomas, and 0.03% were cases of flat dysplasia, giving a total of 0.64% of dysplastic or malignant diagnoses. Rarer diagnoses included ulceration, Helicobacter pylori infection, giardiasis, lymphangiectasia, transplant rejection, and lymphoma. Furthermore, 227 biopsies (3.63%) showed isolated intraepithelial lymphocytosis, of which 33 cases (14.5%) gave an overall clinicopathological picture of coeliac disease. Conclusions: We present the first long-term audit of all endoscopic duodenal biopsies received by the histopathology department of a tertiary-care facility. The results indicate that a fully automated diagnostic histopathology reporting system able to identify normal duodenal biopsies and biopsies within the spectrum of coeliac disease-associated enteropathy could decrease pathologists' endoscopic duodenal biopsy workload by up to 80%.

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来源期刊
Diagnostics
Diagnostics Biochemistry, Genetics and Molecular Biology-Clinical Biochemistry
CiteScore
4.70
自引率
8.30%
发文量
2699
审稿时长
19.64 days
期刊介绍: Diagnostics (ISSN 2075-4418) is an international scholarly open access journal on medical diagnostics. It publishes original research articles, reviews, communications and short notes on the research and development of medical diagnostics. There is no restriction on the length of the papers. Our aim is to encourage scientists to publish their experimental and theoretical research in as much detail as possible. Full experimental and/or methodological details must be provided for research articles.
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