活检格莱森等级1组前列腺癌患者的死亡风险
Derya Tilki1, Ming-Hui Chen2, Hartwig Huland3
1Martini-Klinik Prostate Cancer Center, University Hospital Hamburg-Eppendorf, Hamburg, Germany; Department of Urology, University Hospital Hamburg-Eppendorf, Hamburg, Germany; Department of Urology, Koc University Hospital, Istanbul, Turkey.
European urology oncology
|July 3, 2024
概括
高前列腺特异性抗原 (PSA) 水平或在格里森等级1组前列腺癌患者中50%以上的阳性活检表明患有侵袭性疾病和死亡率的风险更高. 考虑对这个子组进行再活检,以确定可能未采样的高等级癌症.
科学领域:
- 泌尿器科 泌尿器科 泌尿器科 泌尿器科
- 在瘤学瘤学.
- 病理学 病理学 病理学
背景情况:
- 通过系统活检 (SBx) 或联合活检 (CBx) 诊断的格里森等级1组 (GGG1) 前列腺癌 (PC) 可能存在未采样的高风险疾病.
- 呈现时的临床因素对于在进行激进前列腺切除术后识别潜在的PC不足阶段的患者至关重要.
研究的目的:
- 调查在呈现时临床因素与未采样高风险PC的存在之间的关联.
- 评估这些因素与GGG1PC患者的急性前列腺切除术后的PC特定死亡率 (PCSM) 和全因死亡率 (ACM) 之间的关系.
主要方法:
- 一项由10228名在德国大学医院接受GGG1PC治疗的患者进行的队列研究.
- 后勤,精细和灰色和考克斯回归模型被用于分析与不良病理,早期PSA失败,PCSM和ACM的关联.
主要成果:
- 百分比阳性活检 (PPB) >50%和PSA>20 ng/ml显著与不良病理和早期PSA失败的风险更高有关,无论活检方法如何.
- 在SBx组中,PPB>50%和PSA>20 ng/ml也与PCSM和ACM的风险增加有关 (p ≤0.04).
- 大约12个GGG1PC患者中的1个在活检上可能会比最初检测到的更具侵略性的癌症.
结论:
- 患有GGG1PC和PPB>50%或PSA>20 ng/ml的患者代表风险增加的亚组.
- 保持"癌症"分类,并考虑对这些患者进行再活检,可能有助于识别未采样的高等级疾病,并减轻死亡风险.
相关概念视频
Comparing the Survival Analysis of Two or More Groups
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and Cox...
Cancer Survival Analysis
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...


