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基于计算机断层扫描的放射学预测高风险和非常高风险局部前列腺癌患者的生物化学失败和远程转移
Takanori Adachi1, Kota Hirata2, Rihito Aizawa1
1Department of Radiation Oncology and Image-Applied Therapy, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
计划CT扫描中的放射学特征改善了前列腺癌患者生物化学失败的预测. 然而,这些特征并没有显著提高远程转移的预测.
科学领域:
- 在瘤学瘤学.
- 放射学 放射学是指放射学
- 医疗成像医学成像
背景情况:
- 前列腺癌 (PCa) 管理依赖于预测治疗结果.
- 计划计算机断层扫描 (pCT) 图像的放射学分析为改善预后提供了潜力.
研究的目的:
- 评估PCT扫描中的放射学特征在预测局部前列腺癌 (PCa) 中生化失败 (BF) 和远程转移 (DM) 的有效性.
主要方法:
- 对608名高风险和非常高风险局部PCa患者进行了回顾性研究,这些患者接受了强度调节放射治疗.
- 从pCT图像中提取了临床变量和1316个放射性特征.
- 随机生存森林模型 (临床,放射学,混合) 被开发和验证,以预测BF和DM,考虑竞争的风险.
主要成果:
- 超过8.2年的中位数随访,有29.3%的人经历了BF和8.6%的DM.
- 混合模型 (临床+放射性) 与单独的临床 (0.637) 或放射性 (0.640) 相比,显示了改善的BF预测 (C指数=0.687).
- 在模型中没有观察到DM预测的显著改善.
结论:
- 从pCT中整合临床和放射学数据可以提高局部前列腺癌中生物化学失败的预测.
- 在这个队列中,放射学分析并没有显著改善远程转移的预测.
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