Wang Liang, Dai Nan, Chen Dingrong, Jiang Airui, Liao Guobin, Fan Chaoqiang, Yang Xin, Peng Xue, Nie Xubiao, Lin Hui, Liu En, Liu Xi, Diao Xinwei, Bai Jianying
Department of Gastroenterology, Xinqiao Hospital, Army Medical University Chongqing 400037, China.
Cancer Center, Dapin Hospital, Army Medical University Chongqing 400042, China.
Am J Cancer Res. 2022 Apr 15;12(4):1855-1865. eCollection 2022.
Little is known about esophageal high-grade intraepithelial neoplasia dominated by cytological atypia (HGINc). We aimed to elucidate the endoscopic features of HGINc compared with esophageal high-grade intraepithelial neoplasia dominated by architectural atypia (HGINa). All patients pathologically diagnosed as esophageal high-grade intraepithelial neoplasia after endoscopic submucosal dissection at our center between January 2018 and December 2019 were included in this study. According to the pathological diagnosis, the patients were divided into two groups: HGINa group and HGINc group. Basic characteristics and endoscopic information were collected in detail. Data were analyzed statistically. Binary logistic regression was performed and a predictive model for HGINc was established. Then we evaluated its predictive value and built a nomogram for clinical application. A total of 175 patients were included in this study (126 with HGINa and 49 with HGINc). Among 228 lesions found in all patients, there were 148 HGINa and 80 HGINc. The independent relevant factors for HGINc were tobacco and alcohol usage, color, and gross type. To predict risk of HGINc, a three-factor model (TFM) was established with a highest area under curve (AUC) as 0.869 (95% CI, 0.852, 0.939). When the cut-off value was set as 0.3569184, the diagnostic accuracy, sensitivity, specificity, positive predictive value, and negative predictive value for HGINc was 81.14%, 88.75%, 77.03%, 67.62%, and 92.68%, respectively. HGINc differs greatly in endoscopic features from HGINa in our study. It's important to reduce misdiagnosis that our model was established with good predictive value for clinical application.
关于以细胞学异型性为主的食管高级别上皮内瘤变(HGINc),人们了解甚少。我们旨在阐明HGINc与以结构异型性为主的食管高级别上皮内瘤变(HGINa)相比的内镜特征。本研究纳入了2018年1月至2019年12月期间在我们中心接受内镜下黏膜下剥离术后病理诊断为食管高级别上皮内瘤变的所有患者。根据病理诊断,将患者分为两组:HGINa组和HGINc组。详细收集基本特征和内镜信息。进行统计学分析。进行二元逻辑回归并建立HGINc的预测模型。然后评估其预测价值并构建用于临床应用的列线图。本研究共纳入175例患者(126例HGINa患者和49例HGINc患者)。在所有患者发现的228个病变中,有148个HGINa病变和80个HGINc病变。HGINc的独立相关因素为烟酒使用情况、颜色和大体类型。为预测HGINc的风险,建立了一个三因素模型(TFM),其曲线下面积(AUC)最高为0.869(95%CI,0.852,0.939)。当截断值设定为0.3569184时,HGINc的诊断准确性、敏感性、特异性、阳性预测值和阴性预测值分别为81.14%、88.75%、77.03%、67.62%和92.68%。在我们的研究中,HGINc在内镜特征上与HGINa有很大差异。建立具有良好临床应用预测价值的模型对于减少误诊很重要。