人工智能用于口腔癌筛查的NORs细胞病理学定量。

IF 1.5 4区 医学 Q3 DENTISTRY, ORAL SURGERY & MEDICINE
Brazilian oral research Pub Date : 2025-05-12 eCollection Date: 2025-01-01 DOI:10.1590/1807-3107bor-2025.vol39.056
Tatiana Wannmacher Lepper, Luara Nascimento do Amaral, Ana Laura Ferrares Espinosa, Igor Cavalcante Guedes, Maikel Maciel Rönnau, Natália Batista Daroit, Alex Nogueira Haas, Fernanda Visioli, Manuel Menezes de Oliveira Neto, Pantelis Varvaki Rados
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引用次数: 0

摘要

口腔鳞状细胞癌(OSCC)仍然是头颈部最常见的肿瘤。近几十年来,OSCC的发病率和流行率没有显著变化,这凸显了制定和实施新的风险评估措施的迫切需要。本研究旨在通过口腔剥脱细胞学涂片来确定核仁组织区(AgNOR)切断风险点的亲银蛋白,并将其与卷积神经网络(CNN)系统AgNOR幻灯片图像检测器进行比较。本研究包括四个实验组:对照组、暴露于致癌物(酒精和烟草)、口腔潜在恶性疾病和OSCC。第一期用50个细胞进行AgNOR定量。在第二阶段,使用AgNOR系统-幻灯片检查器(捕获-边界盒- CNN分析)以自动化方式建立AgNOR定量。在第一阶段,考虑涂片为可疑的临界值为3.69 AgNORs/细胞核,敏感性为86%,特异性为93%,准确性为90%。在第二阶段,系统与人为AgNORs的类内相关系数分析为0.896(95%可信区间= 0.875-0.915;p < 0.0001),考虑到人的分析,CNN的量化时间为20分钟,而67小时。在口腔细胞学涂片中,AgNOR滑动图像检查器成功地分化了细胞核,并准确地定量了NORs的数量。截止风险点为3.69 AgNOR/nucleus表明可疑样本可能有助于改善口腔癌筛查。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cytopathological quantification of NORs using artificial intelligence to oral cancer screening.

Oral squamous cell carcinoma (OSCC) remains the most prevalent neoplasm of the head and neck. In recent decades, the incidence and prevalence of OSCC have not significantly changed, highlighting the critical need to develop and implement new risk assessment measures. The present study aimed to define argyrophilic proteins of the nucleolar organizer region (AgNOR) cut-off risk points by oral exfoliative cytological smears comparing specialized humans with a convolutional neural network (CNN) system AgNOR Slide-Image Examiner. This study included four experimental groups: control, exposure to carcinogens (alcohol and tobacco), oral potentially malignant disorders, and OSCC. In the first phase, 50 cells were used for AgNOR quantification. In the second phase, AgNOR quantification was established in an automated manner using an AgNOR System - Slide Examiner (captured - bounding-boxed - CNN analysis). In phase 1, the cut-off point for considering a smear as suspicious was established at 3.69 AgNORs/nucleus with sensitivity of 86%, specificity of 93%, and accuracy of 90%. In phase 2, the analysis of the intraclass correlation coefficient of AgNORs attributed to the system and human was 0.896 (95% confidence interval = 0.875-0.915; p < 0.0001), and this quantification with the CNN was 20 min compared to 67 h, considering human analysis. The AgNOR Slide-Image Examiner successfully differentiated the nuclei and accurately quantified the number of NORs in oral cytological smears. The cut-off risk point of 3.69 AgNOR/nucleus indicates a suspicious sample may contribute to improvements in oral cancer screening.

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来源期刊
CiteScore
3.70
自引率
4.00%
发文量
107
审稿时长
12 weeks
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