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相关概念视频

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Skin cancer is a type of cancer that occurs when there is an abnormal growth of skin cells, usually triggered by damage to the DNA within the skin cells. It is primarily caused by exposure to ultraviolet (UV) radiation from the sun or artificial sources like tanning beds. Skin cancer is the most common type of cancer worldwide, and its incidence continues to rise.
Basal Cell Carcinoma (BCC): BCC is the most common type of skin cancer, accounting for about 80% of cases. It typically develops in...
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Under normal conditions, most adult cells remain in a non-proliferative state unless stimulated by internal or external factors to replace lost cells. Abnormal cell proliferation is a condition in which the cell's growth exceeds and is uncoordinated with normal cells. In such situations, cell division persists in the same excessive manner even after cessation of the stimuli, leading to persistent tumors. The tumor arises from the damaged cells that replicate to pass the damage to the...
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增殖性皮性白血病增殖性白血病的预后诺莫图.

Yanning Zhang1,2, Xinning Zhang1,3, Zhiming Qin1,3

  • 1Department of Oral Pathology, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing, PR China.

Journal of dental sciences
|January 28, 2025
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概括

这项研究开发了多发性白血病 (PVL) 癌症风险和预后的准确预测模型. 这些模型有助于为管理PVL和预防口腔状细胞癌 (OSCC) 做出个性化的临床决策.

关键词:
早期诊断 早期诊断 早期诊断这个名字叫做Nomogram.预测模型是一个预测模型.预后 预后 预测 预测增殖性疹性白血病增多症

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科学领域:

  • 口腔病理学 口腔病理学
  • 在瘤学瘤学.
  • 医学诊断 医学诊断 医学诊断

背景情况:

  • 增殖性性白血病 (PVL) 具有很高的恶性转化率成为口腔状细胞癌 (OSCC).
  • 了解PVL癌症的风险和预后因素对于有效管理至关重要.
  • 目前用于PVL的诊断和预后工具需要改进.

研究的目的:

  • 分析PVL的癌症风险和预后因素.
  • 为PVL建立有效的诊断和预后预测模型.
  • 为改善PVL患者的临床决策.

主要方法:

  • 对467名患者的分析,包括170名PVL患者.
  • 单变量和多变量逻辑回归用于风险和预后因素识别.
  • 使用ROC曲线,校准图表和决策曲线分析构建和验证名ogram模型.

主要成果:

  • 确定了PVL癌症的关键风险因素:性别,病变部位,临床表现,非吸烟者身份和口腔上皮质发育不良 (OED).
  • 确定了独立的预后因素:性别,临床表现,局部刺激物和OED.
  • 开发了具有高预测能力 (AUC为0.945和0.893) 的准确的诊断和预后名录模型.

结论:

  • 已确立和验证的诺莫格拉姆模型准确地预测PVL癌症的风险和预后.
  • 这些模型提供了个性化的临床决策,增强了患者的护理.
  • 经过验证的模型在管理PVL方面显示出显著的临床实用性.