Staging parameters for cancers of the head and neck: A multi‐factorial analysis
Staging parameters for cancers of the head and neck: A multi‐factorial analysis
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头颈癌的分期参数：多因素分析
DOI：
10.1288/00005537-198511000-00017
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发表时间：
1985
期刊：
影响因子：
--
通讯作者：
D. Sessions
中科院分区：
文献类型：
--
作者：
J. Jacobs;E. Spitznagel;D. Sessions
利用基于计算机的多变量分析技术，对华盛顿大学1400例头颈部肿瘤登记病例进行了检查，以寻找可能的分期变量作为当前TNM系统的替代方案。肿瘤部位、年龄、手术切缘特征和无颈淋巴结转移被认为是癌症无复发的预测因素。利用这些变量的计算机模型与目前的TNM系统进行比较，发现在预测癌症无复发的准确性方面略好一些(71.2%比65.2%)。进一步的分析表明，模型预测能力的未来改进将不得不等待新变量的确定，例如当前在流式细胞仪或人类干细胞培养领域的工作可能产生的那些变量。
Utilizing a multi‐variate computer based analysis technique, the 1,400 case head and neck tumor registry of Washington University was examined for possible staging variables as an alternative to the current TNM system. Site, age, characteristics of surgical margins, and absence of neck node metastasis were identified as being predictive of nonrecurrence of cancer. A computer model utilizing the variables was compared to the current TNM system and found to be somewhat better (71.2% vs. 65.2%) in accuracy of prediction of nonrecurrence of cancer. Further analysis suggests that future improvements in predictive ability of the model will have to await the identification of new variables such as those that might arise from the current work in areas of flow cytometry or human stem cell cultures.