基于前列腺特异抗原筛查初诊前列腺癌患者的临床特征
Clinical characteristics of newly diagnosed prostate cancer patients based on prostate-specific antigen screening
王小芹 1汪彬 2路孟鑫3
作者信息
- 1. 武汉大学中南医院教学办公室 湖北 武汉 430071
- 2. 湖北省随州市中心医院泌尿外科 湖北 随州 441300
- 3. 武汉大学中南医院泌尿外科 湖北 武汉 430071
- 折叠
摘要
目的:探讨基于前列腺特异抗原(PSA)筛查初诊前列腺癌患者相比于其他初诊患者的临床特征.方法:回顾性分析了武汉大学中南医院2017年6月至2021年9月411例初诊前列腺癌患者的临床资料,依据是否因PSA异常无相关症状而就诊分为PSA筛查前列腺癌组(PSA筛查组)和其他前列腺癌组(有症状组),对比分析两组患者年龄、血清总PSA水平、前列腺体积大小以及PSA密度的临床基线资料,并分析两组患者肿瘤T分期、是否伴淋巴结转移、是否骨转移、国际泌尿病理学会(ISUP)分级之间差异.结果:因PSA检查异常而无相关临床表现的初诊前列腺癌患者相比于其他就诊患者,其PSA水平更低、前列腺体积更小、T分期更早、淋巴结及骨转移率更低、病理分级更低.结论:基于PSA检查的前列腺癌人群筛查可以提高前列腺癌早期诊断率.
Abstract
Objective:To explore the clinical characteristics of newly diagnosed prostate cancer patients based on prostate-specific antigen(PSA)screening compared with other newly diagnosed patients.Methods:We retrospectively analyzed and compared the clinical data of 411 newly diagnosed prostate cancer patients in Zhongnan Hospital of Wuhan University from June 2017 to September 2021.Ac-cording to whether the hospital visits were due to abnormal PSA without related symptoms,the pa-tients were divided into a PSA screening prostate cancer group(PSA screening group)and another prostate cancer group(symptomatic group).The clinical baseline data,including patient age,total se-rum PSA level,prostate volume,and PSA density,were compared betweenthe two stratified groups.The differences in tumor T stage,lymph node metastasis,bone metastasis,and International Society for Urological Pathology(ISUP)grades between the two groups were also compared.Results:Com-pared with other newly diagnosed prostate cancer patients,newly diagnosed prostate cancer patients with abnormal PSA without related symptoms had lower PSA levels,smaller prostate volume,earlier T stage,lower lymph node and bone metastasis rate,and lower pathological grade.Conclusion:Pros-tate cancer screening based on PSA tests can improve the early diagnosis rate of prostate cancer.
关键词
前列腺癌/前列腺特异抗原筛查/临床特征/早期诊断Key words
Prostate Cancer/Prostate Specific Antigen Screening/Clinical Characteristics/Early Diagnosis引用本文复制引用
基金项目
武汉大学中南医院优秀博士(后)项目(ZNYB2019006)
出版年
2024
NETL
NSTL
万方数据