在F-PSMA-1007 PET/CT上的不同前列腺区域的放射特征用于预测前列腺癌患者的持续PSA:一项多中心研究
Licong Li1, Jian Xu1, Shuying Bian1
1The Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China.
Cancers
|September 13, 2025
概括
在18F-PSMA-1007 PET/CT上的特定前列腺子区域的放射特征可以预测持续的前列腺癌. 将放射学模型与PSA模型相结合,可显著提高预测准确度.
科学领域:
- 放射学 放射学是一门学科.
- 在瘤学瘤学.
- 医疗成像医学成像
背景情况:
- 治疗后的持续性前列腺癌是一个临床挑战.
- 准确预测持续性前列腺癌对于指导治疗决策至关重要.
研究的目的:
- 在18F-PSMA-1007 PET/CT上研究来自不同前列腺子区域的放射性特征 (RF) 的预测价值,以检测持续性前列腺特异性抗原 (PSA).
- 开发和验证放射学模型,单独和与PSA水平相结合,用于预测持久的PSA.
主要方法:
- 对354名局部性前列腺癌患者的回顾性分析.
- 前列腺细分为三个区域 (内部,周围,正常) 基于SUVmax在18F-PSMA-1007PET/CT.
- 开发了五种放射学模型和与PSA结合的模型,使用ROC曲线和AUC进行评估.
主要成果:
- 放射学模型 (模型-ip,模型-ipn,模型-intra) 在队列中显示了不同的预测性能.
- 整合模型-ip和PSA的组合模型实现了最高的AUC (0.78培训,0.78内部验证,0.89外部验证).
结论:
- 在18F-PSMA-1007 PET/CT上,来自不同前列腺子区域的放射学特征为持久性PSA提供了差异性预测能力.
- 一个结合放射学和PSA模型,特别是包含20-45%和45-100%的SUVmax区域,在预测持久PSA方面表现出更高的准确性.
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