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Lancet Oncol:肺癌的希望,科学家发现新的模型,可以拯救更多的生命

2017-10-22 佚名 medicalxpress

加拿大的癌症研究小组已经开发出一种预测模型,用于在高风险人群中检测早期肺癌,其准确性明显高于其他领先模型。

加拿大的癌症研究小组已经开发出一种预测模型,用于在高风险人群中检测早期肺癌,其准确性明显高于其他领先模型。

林博士说:“我们知道我们的潘癌肺癌风险预测模型可能比其他模型更好,但是我们对于这么好的效果感到惊讶。“我们有办法识别高风险的人,我们可以早日发现癌症,这个模式提供了一个优越的工具,在世界各地挽救更多的生命将是有益的。”

潘癌可以预测肺癌的风险预测模型,该模型用于确定哪些个人应该进行年度CT筛查,以检测早期肺癌。这种模型的表现优于国家肺癌筛查试验(美国国家癌症研究所(NationalCancerInstitute)领导的)。

PanCan模型诊断为肺癌的患者占6.5%,随访时间为5年,相比之下,国家肺部筛查试验发现的病例有4%(6.5年)。此外,被诊断为PanCan模型的肺癌患者中,有77%在癌症可能治愈的早期阶段被发现,而在NLST的研究中,这一比例为57%。肺癌是世界上最常见的癌症死亡原因——但如果及早发现,它可以在70%的病例中治愈,从而使早期检测成为预测模型的关键特征。

目前,美国和加拿大的肺癌筛查指南都基于年龄和吸烟史。PanCan模型的一个主要优点是它使用风险预测工具来研究许多其他变量:性别,肺癌家族史,慢性阻塞性肺疾病,教育水平和体重指数。

“年龄和吸烟史实际上是一种非常不准确的方法,因为我们知道,只有年龄和吸烟史的人发现肺癌的人数比PanCan预测工具少33%,”林博士补充道。加拿大早期肺癌检测研究在2017年展开,以研究肺癌风险的遗传和空气污染等因素。这项研究旨在招募2000名英国哥伦比亚人,他们吸烟至少20年,年龄在55岁到80岁之间。维克多·林(VictorLing)博士表示,《柳叶刀》肿瘤学研究结果是这类前沿医学的缩影。“特里·福克斯研究所(TerryFoxResearchInstitute)对潘能肺癌风险预测模型的成功感到兴奋,”凌博士说。“这篇论文的建议有机会在高危人群中更好地检测这种致命疾病。我们相信这项研究有望为加拿大和世界范围内的肺癌患者提供更好的结果。

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    2017-10-28 howi
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    2017-10-23 minlingfeng
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    2017-10-22 131****1460

    学习了受益匪浅

    0

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    2017-10-22 清风拂面

    谢谢分享.学习了

    0

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