网络分类-一个工具来测试癌和前列腺癌的个人分类
Glen Kristiansen1, Matthias Schmid2, Lars Egevad3
1Reference Centre for Uropathology, Institute of Pathology, University Hospital Bonn, Bonn, Germany.
概括
一个新的网络平台验证了病理学家对癌症的分级. 虽然许多人取得了预后意义,但大多数人很难区分中等等级的瘤,这凸显了需要改进培训的需要.
科学领域:
- 病理学 病理学 病理学
- 在瘤学瘤学.
- 医疗信息学 医疗信息学
背景情况:
- 病理学家往往缺乏客观的方法来验证他们的癌症分级准确性.
- 精确分类细胞癌和前列腺癌对于患者的预后至关重要.
研究的目的:
- 引入和评估一个基于网络的平台,用于分级细胞癌和前列腺癌.
- 用客观数据评估个体病理学家分级的预后意义.
主要方法:
- 开发了一个基于网络的评分平台.
- 参与者使用三层系统对前列腺癌和细胞癌图像的队列进行了分级.
- 卡普兰-梅尔曲线和日志等级测试用于统计分析.
主要成果:
- 68%的参与者的评分取得了预后意义.
- 只有两位病理学家准确地区分了低级,中级和高级瘤.
- 大多数参与者无法可靠地区分中等级瘤.
结论:
- 基于网络的门户网站有效地评估个人评分的有效性.
- 研究结果表明,需要加强瘤分级的正式培训计划.
- 病理学家的表现表明,在区分微妙的瘤等级变异方面存在挑战.
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