对于口腔癌研究的自动AJCC恢复
Conrad W Safranek1, Sarah G Wilkins1, Rema Shah1
1Department of Surgery, Division of Otolaryngology, Yale University School of Medicine, New Haven, Connecticut, USA.
概括
一个自动化工具准确地从AJCC第7到第8版标准中恢复了人类乳头瘤病毒阳性口腔状细胞癌 (HPV+ OPSCC). 这种计算解决方案使HPV+OPSCC研究的大型数据集能够有效分析.
科学领域:
- 在瘤学瘤学.
- 计算生物学 计算生物学
- 癌症的分期 癌症的分期
背景情况:
- 第八版AJCC分期标准将人类乳头瘤病毒阳性口腔状细胞癌 (HPV+OPSCC) 与HPV阴性病例分开.
- 这一变化阻止了使用第七版和第八版标准分阶段进行的案件的直接比较.
- 大型HPV+OPSCC数据集的手动重新分级是低效的,容易出现错误.
研究的目的:
- 从AJCC第七到第八版标准开发一个自动化计算工具,用于从AJCC第七到第八版标准重新分类HPV+OPSCC的病理和临床瘤阶段.
- 为了方便对大型历史HPV+OPSCC数据集进行准确和有效的分析.
主要方法:
- 为AJCC分阶段重新分类开发自动计算算法.
- 使用机构和国家癌症数据库数据集验证算法.
主要成果:
- 该算法实现了100%的准确性 (95% CI 98.8%-100%) 在从机构数据重新分组326/326个病例.
- 该算法实现了93.4%的准确性 (95% CI 93.1%-93.7%),从国家癌症数据库重新分类了26,505/28,374例病例.
- 该工具旨在高效处理大型数据集.
结论:
- 开发的自动化工具准确有效地从AJCC第七到第八版标准中恢复HPV+OPSCC病例.
- 这种开源工具可以显著提高对HPV+OPSCC的未来研究.
- 该方法可以作为开发其他癌症类型和未来AJCC版本更新类似工具的模型.
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