预测口腔癌存活率 - - 开发和验证一个亚太地区的诺姆图
Weilan Wang1, Qingpeng Zhang1, Peter Thomson2
1School of Data Science, The City University of Hong Kong, Hong Kong, China.
概括
这项研究使用澳大利亚的数据开发了一个名图来预测口腔状细胞癌 (OSCC) 的存活率,并在香港验证了它. 诺米图有效地帮助临床医生进行OSCC治疗计划和预后评估.
科学领域:
- 在瘤学瘤学.
- 生物统计学 生物统计学
- 癌症流行病学 癌症流行病学
背景情况:
- 口腔状细胞癌 (OSCC) 是一个重要的全球健康问题,发病率不断上升.
- 准确预测治疗反应和生存率对于有效的癌症管理至关重要.
- 诺米图提供了一个图形工具,用于预测瘤学中的患者结果.
研究的目的:
- 在OSCC患者中开发和验证一个用于预测个性化整体存活率 (OS) 和癌症特异性存活率 (CSS) 的名录.
- 利用来自澳大利亚和香港的基于人口的数据进行名ogram开发和外部验证.
- 为临床医生提供一个工具,以改善OSCC的治疗计划和预后评估.
主要方法:
- 追溯分析了来自澳大利亚昆士兰州9885名OSCC患者和香港465名患者的临床病理数据.
- 多变量Cox比例危险回归模型被用来构建生存预测名录.
- 内部验证使用10倍交叉验证和对香港队列进行外部验证.
主要成果:
- 所有分析的临床病理变量都对OSCC生存结果产生了重大影响.
- 在澳大利亚队列中,开发的名图表显示了预测和实际生存概率之间的良好一致.
- 香港队列的外部验证显示,预测性能略有下降,但仍然强.
结论:
- 基于易于获得的人口统计和临床病理数据的预测性名录是个性化OSCC治疗规划的宝贵工具.
- 这项研究强调了诺基图在改善口腔状细胞癌患者的预后评估中的实用性.
- 诺米图为临床医生在管理当代OSCC病例方面提供实用性支持.
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