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Junhao Sun¹, Yu Song², Yunfei Tan³

¹Department of Urology, Jiashan Hospital of Traditional Chinese Medicine, Jiaxing, 314100, Zhejiang Province, China.

|August 2, 2025

概括

血小板与淋巴细胞的比率 (PLR) 可以帮助预测前列腺癌风险. 将PLR与其他临床数据相结合,可以提高检测率,特别是在特定的前列腺特异性抗原 (PSA) 范围内.

科学领域:

在瘤学瘤学.
生物标志物生物标志物
预测建模预测建模

背景情况:

前列腺癌 (PCa) 检测依赖于各种临床因素.
确定可靠的预测指标对于早期诊断和管理至关重要.
炎症标志物代表了改善PCa风险评估的潜在途径.

研究的目的:

研究炎症标志物,特别是血小板与淋巴细胞比率 (PLR) 与前列腺癌之间的相关性.
开发和验证前列腺癌的预测模型,包括PLR和其他临床参数.
评估预测模型在不同前列腺特异性抗原 (PSA) 水平的诊断效果.

主要方法:

一个数据集被分为培训 (70%) 和验证 (30%) 集.
后勤回归确定了风险因素;ROC分析评估了区分能力.
一个名图说明了预测模型,通过十倍交叉验证和临床决策曲线进行验证.

主要成果:

年龄,前列腺体积 (PV),总PSA (tPSA),自由/总PSA比率 (f/t PSA) 和PLR是PCa的独立风险因素.
该预测模型在4-20 ng/mL PSA范围内显示出显著的临床效用,稳定性和诊断疗效.
在国际泌尿病学学会 (ISUP) 的不同等级中,tPSA和PV的显著差异被注意到.

结论:

PLR是前列腺癌的可行的预测指标.
将PLR与临床数据相结合,可以提高PCa检测率.
在PLR和PCaISUP等级之间没有发现相关性.

关键词:

血小板与淋巴细胞的比例.预测值是一个预测值.前列腺癌是什么意思前列腺癌是什么意思

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