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基于前列腺健康指数的预测模型研究进展

魏义, 朱耀丰*

摘要

前列腺癌（PCa）是全球男性中最常见的恶性肿瘤。2022年，美国预计有268,490例新发病例和34,500例死亡病例[1]。尽管亚洲的PCa发病率相对较低，但近年来呈上升趋势[3,4]。提高PCa的检出率并减少不必要的活检至关重要。前列腺健康指数（PHI）于2012年被批准用于PCa的临床诊断，其诊断效能不断得到验证。与前列腺特异性抗原（PSA）和PSA密度（PSAD）相比，PHI具有更高的敏感性和特异性。通过建立多参数诊断模型，PHI可提高单独指标的诊断效能，减少漏诊率和不必要的活检。本综述探讨了PHI的发现、应用及其衍生指标的模型构建，以期为PCa的早期诊断提供参考。

关键词

前列腺癌；前列腺健康指数；多参数磁共振成像；诊断；模型；前列腺特异性抗原

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参考

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