连续双参数MRI上的Delta放射性模式与前列腺癌患者在主动监测中的病理升级有关:初步发现
Abhishek Midya1, Amogh Hiremath2, Jacob Huber3
1Department of Biomedical Engineering, Emory University, Atlanta, GA, United States.
Frontiers in oncology
|September 21, 2023
概括
连续MRI的放射性变化,结合临床变量的变化,有效地预测活跃监测前列腺癌患者的活检升级. 这种方法显示了比单独的PIRADS得分更强的关联.
科学领域:
- 放射学 放射学是指放射学
- 在瘤学瘤学.
- 医疗成像医学成像
背景情况:
- 前列腺癌 (PCa) 的积极监测 (AS) 需要监测疾病进展.
- 串行MRI和放射学为PCa变化的非侵入性评估提供了潜力.
研究的目的:
- 在接受AS的PCa患者的连续MRI上量化放射性变化.
- 评估这些变化与通过活检检测到的病理进展的关联.
主要方法:
- 在AS的50名PCa患者与连续MRI (T2W和ADC) 的回顾性分析.
- 提取了252个放射性特征;三角放射性被计算为基线和后续扫描之间的差异.
- 随机森林模型用于预测使用基线/三角形放射学和临床数据的活检升级 (AS+).
主要成果:
- 仅仅三角洲放射性物质的AUC达到0.74.
- 将三角形放射学与基线临床变量结合在一起,产生了0.77.7的AUC.
- 德尔塔放射学和德尔塔临床变量 (PSA,瘤体积) 的组合达到0.84的最高AUC,明显超过其他模型.
结论:
- 连续MRI上的三角形放射学显示出与AS的PCa患者的活检升级事件的强烈关联.
- 将三角洲放射学与临床变量的变化结合起来,证明了对疾病进展的最高预测能力.
- 建议对这些有前途的发现进行进一步的多站点验证.
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