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十二指肠活检审计:诊断的相对频率、申请表上指示严重病理的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。

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.

作者信息

Shenoy Vrinda, James Jessica L, Williams-Walker Amelia B, Madhan Mohan Nasyen P R, Luu Hoang Kim N, Williams Josephine, Jaeckle Florian, Evans Shelley C, Soilleux Elizabeth J

机构信息

Department of Pathology, University of Cambridge, Tennis Court Road, Cambridge CB2 1QP, Cambridgeshire, UK.

Human Research Tissue Bank, Cambridge University Hospitals NHS Foundation Trust, Cambridge CB2 0QQ, Cambridgeshire, UK.

出版信息

Diagnostics (Basel). 2025 Jun 11;15(12):1483. doi: 10.3390/diagnostics15121483.

Abstract

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. : To achieve this, we audited 18 months' worth of duodenal biopsy reports in our centre. : 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, 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. : 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%.

摘要

在开发基于人工智能(AI)的诊断策略以实现十二指肠活检诊断自动化之前,了解诊断情况至关重要。本研究旨在:(1)确定在一家大型三级转诊中心内镜下十二指肠活检中不同诊断的频率;(2)识别组织病理学申请表上的关键词,这些关键词可能表明活检可能包含严重病理情况,不应由AI系统进行诊断;(3)调查被描述为显示“上皮内淋巴细胞增多”的病例中可能是乳糜泻的比例。为实现这一目标,我们审核了本中心18个月的十二指肠活检报告。共确定了6245例十二指肠活检,其中73.76%为正常,至少8.84%属于乳糜泻范围。此外,6.47%被归类为显示非特异性炎症,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%为扁平发育异常病例,发育异常或恶性诊断总计占0.64%。罕见诊断包括溃疡、感染、贾第虫病、淋巴管扩张、移植排斥和淋巴瘤。此外,227例活检(3.63%)显示孤立性上皮内淋巴细胞增多,其中33例(14.5%)呈现出乳糜泻的整体临床病理表现。我们展示了对一家三级医疗机构组织病理学部门接收的所有内镜下十二指肠活检进行的首次长期审核。结果表明,一个能够识别正常十二指肠活检以及乳糜泻相关肠病范围内活检的全自动诊断组织病理学报告系统可将病理学家的内镜下十二指肠活检工作量减少多达80%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3405/12191449/ee0c3ee66674/diagnostics-15-01483-g001.jpg

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