Digital Cytology Combined With Artificial Intelligence Compared to Conventional Microscopy for Anal Cytology: A Preliminary Study

IF 1.1 4区医学 Q4 CELL BIOLOGY Cytopathology Pub Date : 2025-03-11 DOI:10.1111/cyt.13482

Renê Gerhard, Cioly Rivero Colmenarez, Corinne Selle, Gaël Paul Hammer

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Abstract

Introduction

Recent studies have shown that digital cytology (DC) coupled with artificial intelligence (AI) algorithms is a valid approach to the diagnosis of cervico-vaginal lesions using liquid-based cytology (LBC). We evaluated the use of these methods for anal LBC specimens.

Methods

A series of 124 anal LBC slides previously diagnosed by conventional microscopy (CC) were reviewed with a DC/AI system that generated a gallery of images. Diagnoses based on the selected images, according to the 2014 Bethesda System for Reporting Cervical Cytology, were compared to CC.

Results

Overall, CC and DC/AI approaches detected a similar number of abnormal (ASC-US+) cases (63 and 62 cases, respectively). We observed an exact concordance between CC and DC in 70 (57.9%) cases, corresponding to a moderate agreement between the two approaches (κ = 0.41, p < 0.001). A moderate agreement (κ = 0.48, p < 0.001) was also found when positive cases were stratified into ‘low-grade’ (ASC-US, LSIL) and ‘high-grade’ lesions (ASC-H, HSIL). The DC/AI system detected more cases of higher severity (ASC-H, HSIL: 9 and 2 cases, respectively) than CC (3 cases classified as HSIL).

Conclusions

The number of ASC-US+ cases detected by both systems was similar. The DC/AI system detected more cases of higher severity compared to the CC.

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数字细胞学结合人工智能与传统显微镜肛门细胞学的比较：初步研究。

最近的研究表明，数字细胞学（DC）与人工智能（AI）算法相结合，是使用液体细胞学（LBC）诊断宫颈阴道病变的有效方法。我们评估了这些方法在肛门LBC标本中的应用。方法：使用DC/AI系统对先前通过常规显微镜（CC）诊断的124例肛门LBC载玻片进行回顾，并生成图像库。根据2014年Bethesda宫颈细胞学报告系统，将基于所选图像的诊断与CC进行比较。结果：总体而言，CC和DC/AI方法检测到的异常（ASC-US+）病例数量相似（分别为63例和62例）。我们观察到70例（57.9%）CC和DC之间的精确一致性，对应于两种方法之间的中度一致性（κ = 0.41, p）。结论：两种系统检测到的ASC-US+病例数量相似。与CC相比，DC/AI系统检测到更多更严重的病例。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Cytopathology 生物-病理学

CiteScore

2.30

自引率

15.40%

发文量

107

审稿时长

6-12 weeks

期刊介绍： The aim of Cytopathology is to publish articles relating to those aspects of cytology which will increase our knowledge and understanding of the aetiology, diagnosis and management of human disease. It contains original articles and critical reviews on all aspects of clinical cytology in its broadest sense, including: gynaecological and non-gynaecological cytology; fine needle aspiration and screening strategy. Cytopathology welcomes papers and articles on: ultrastructural, histochemical and immunocytochemical studies of the cell; quantitative cytology and DNA hybridization as applied to cytological material.