基于MRI的积极监测队列中前列腺癌生长率的变化
Hayley Smith1, Vasilis Stavrinides2,3,4, Francesco Giganti5,6
1Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK. hs898@cam.ac.uk.
European radiology
|January 16, 2026
概括
前列腺癌生长缓慢,个体差异很大. 病变平均需要17年才能被MRI检测到,这对早期检测策略构成了挑战.
科学领域:
- 在瘤学瘤学.
- 医疗成像医学成像
- 生物统计学 生物统计学
背景情况:
- 优化查和主动监测 (AS) 时间表需要了解前列腺癌瘤生长率.
- 瘤生长的个体变化需要个性化的估计方法.
研究的目的:
- 在纵向主动监测队列中估计前列腺癌生长率.
- 模拟前列腺癌病变的自然史,从单细胞到临床检测.
主要方法:
- 长度建模145名活检确认的前列腺癌患者的瘤生长,这些患者接受了基于MRI的AS.
- 通过平面测量测量损伤体积变化的指数,戈珀茨和后勤混合效应模型的比较.
- 调查生长速度与临床特征 (如年龄,PSA水平和格里森得分) 之间的相关性.
主要成果:
- 戈珀茨模型有效地估计了从单细胞的瘤生长到MRI可检测的大小 (约. 3毫米直径).
- 增长速度与患者年龄,初始病变体积,PSA水平和PSA密度正相关.
- 格里森3+4病变的体积翻倍时间 (3.5年) 比格里森3+3病变 (5.2年) 更快.
- 从单细胞到MRI检测尺寸的平均时间为17年;到临床检测尺寸是额外的12年.
- 在50岁时,75%的病变仍然无法通过MRI检测到.
结论:
- 前列腺癌呈现缓慢增长的现象,患者之间的差异很大,使早期检测工作复杂化.
- 缓慢的生长轨迹和检测惰性病变的潜力对积极监测协议构成挑战.
相关概念视频
Tumor Progression
7.2K
Tumor progression is a phenomenon where the pre-formed tumor acquires successive mutations to become clinically more aggressive and malignant. In the 1950s, Foulds first described the stepwise progression of cancer cells through successive stages.
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
7.2K
Cancer Survival Analysis
650
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...
650


