Quantitative prediction of oral cancer risk in patients with oral leukoplakia.
Quantitative prediction of oral cancer risk in patients with oral leukoplakia.
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口腔白斑患者口腔癌风险的定量预测
DOI：
10.18632/oncotarget.17550
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发表时间：
2017-07-11
期刊：
影响因子：
--
通讯作者：
Sun Z
中科院分区：
文献类型：
--
作者：
Liu Y;Li Y;Fu Y;Liu T;Liu X;Zhang X;Fu J;Guan X;Chen T;Chen X;Sun Z
脱落细胞学检查已广泛应用于口腔鳞状细胞癌的早期诊断。我们已经开发了一个口腔癌风险指数，使用DNA指数值来定量评估口腔白斑患者的癌症风险，但成功有限。为了提高风险指数的性能，我们收集了两个独立的队列正常，白斑和癌症受试者（训练集和验证集）的脱落细胞学，组织病理学和临床随访数据。峰值是根据一阶导数定义的，并利用现代机器学习技术在重建数据上建立统计预测模型。随机森林是最好的模型，具有较高的敏感性（100%）和特异性（99.2%）。使用峰值随机森林模型，我们构建了一个指数（OCRI2）作为癌症风险的定量测量。在11例OCRI 2大于0.5的白斑患者中，4例（36.4%）在随访（23 ± 20个月）期间发生癌症，而57例OCRI 2小于0.5的白斑患者中有3例（5.3%）发生癌症（32 ± 31个月）。OCRI2在预测口腔鳞状细胞癌的随访中优于其他方法。总之，我们已经开发了一种基于脱落细胞学的方法，用于定量预测口腔白斑患者的癌症风险。
Exfoliative cytology has been widely used for early diagnosis of oral squamous cell carcinoma. We have developed an oral cancer risk index using DNA index value to quantitatively assess cancer risk in patients with oral leukoplakia, but with limited success. In order to improve the performance of the risk index, we collected exfoliative cytology, histopathology, and clinical follow-up data from two independent cohorts of normal, leukoplakia and cancer subjects (training set and validation set). Peaks were defined on the basis of first derivatives with positives, and modern machine learning techniques were utilized to build statistical prediction models on the reconstructed data. Random forest was found to be the best model with high sensitivity (100%) and specificity (99.2%). Using the Peaks-Random Forest model, we constructed an index (OCRI2) as a quantitative measurement of cancer risk. Among 11 leukoplakia patients with an OCRI2 over 0.5, 4 (36.4%) developed cancer during follow-up (23 ± 20 months), whereas 3 (5.3%) of 57 leukoplakia patients with an OCRI2 less than 0.5 developed cancer (32 ± 31 months). OCRI2 is better than other methods in predicting oral squamous cell carcinoma during follow-up. In conclusion, we have developed an exfoliative cytology-based method for quantitative prediction of cancer risk in patients with oral leukoplakia.
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DOI：
10.4317/medoral.18756
发表时间：
2013-01-01
期刊：
Medicina oral, patologia oral y cirugia bucal
影响因子：
--
作者：
Brouns ER;Baart JA;Bloemena E;Karagozoglu H;van der Waal I
通讯作者：
van der Waal I
影响因子：
3.3
作者：
Maraki, D;Becker, J;Boecking, A
通讯作者：
Boecking, A
影响因子：
1.9
作者：
Pektas, ZÖ;Keskin, A;Karslioglu, Y
通讯作者：
Karslioglu, Y
影响因子：
8.9
作者：
Marur, Shanthi;Forastiere, Arlene A.
通讯作者：
Forastiere, Arlene A.
影响因子：
4.8
作者：
Pentenero, Monica;Giaretti, Walter;Gandolfo, Sergio
通讯作者：
Gandolfo, Sergio