在CT引导的皮肤肺癌活检中,基于放射学优化标选择:一项回顾性研究
JiWu Wang1, ZeMing Zhang1, XiaoDong Liu1
1Radiological Imaging Department, Panzhihua Central Hospital, Panzhihua, Sichuan, China.
Frontiers in oncology
|February 2, 2026
概括
一种新的临床放射学模型准确地预测了肺癌CT引导的皮肤穿甲针活检 (PTNB) 的瘤丰富瘤点,改善了诊断产量和指导活检规划.
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:
- 通过CT指导的皮肤穿越胸腺针活检 (PTNB) 对于肺癌诊断至关重要.
- 瘤异质性和标选择错误可能导致假阴性PTNB结果.
- 提高PTNB的诊断准确度对于有效的肺癌管理至关重要.
研究的目的:
- 开发和验证一种临床放射学模型,用于CT引导PTNB中预测瘤丰富的点.
- 通过改进目标选择来提高PTNB的诊断产量.
- 通过精确的活检规划,减少肺癌诊断中的假阴性结果.
主要方法:
- 对350名接受CT指导PTNB的肺癌患者的回顾性分析.
- 从活检槽感兴趣区域 (ROI) 提取放射性特征.
- 使用LASSO回归和多变量逻辑回归的联合临床放射学模型的开发,经过ROC和DCA的验证.
主要成果:
- 结合的临床放射学模型实现了高分辨性性能 (在培训和验证组中AUC为0.942和0.926).
- 该模型显著优于仅临床和仅放射学模型.
- 建立了一个最佳的放射学分数切线,为目标优先级提供高灵敏度和特异性.
结论:
- 开发的临床放射学模型准确地预测了肺癌中CT引导PTNB的最佳活检目标.
- 这种模型支持个性化活检规划和精确导向采样,可能减少非诊断性程序.
- 由于研究的回顾性,单中心性质,对于不可手术的患者和更广泛的人群需要进一步验证.
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