在低剂量胸部CT中,BMI是否会影响AI和人类读者检测肺结节?
Nikos Sourlos1, Marcel van Tuinen1, Grigory Sidorenkov2
1Department of Radiology, University Medical Center of Groningen, University of Groningen, Groningen, the Netherlands.
European journal of radiology
|October 1, 2025
概括
身体质量指数 (BMI) 在低剂量计算机断层扫描 (LDCT) 中对人工智能 (AI) 或人类阅读器的肺结节检测灵敏度没有显著影响. 人工智能显示,与所有BMI组的人类读者相比,每次扫描的假阳性率更高.
科学领域:
- 放射学 放射学是一门学科.
- 医疗成像医学成像
- 人工智能在医学中的应用
背景情况:
- 众所周知,体重指数 (BMI) 在低剂量计算机断层扫描 (LDCT) 中会增加图像噪声,这可能会影响诊断的准确性.
- 评估BMI对肺结节检测的影响对于理解人类阅读器和人工智能算法的性能至关重要.
研究的目的:
- 评估高与低体重指数 (BMI) 对肺结节检测率的影响,使用人工智能 (AI) 软件和低剂量计算机断层扫描 (LDCT) 中的人类读取器 (HR) 扫描.
- 为了比较AI和人类读者的不同BMI群体之间的灵敏度和假阳性率 (FP/scan).
主要方法:
- 从生命线队伍中分析了胸部LDCT扫描,重点关注的是最高 (平均BMI39.8) 和最低 (平均BMI18.7) BMI类别的参与者.
- 肺结节检测由人工智能软件和训练有素的人类阅读器独立执行.
- 检测中的差异由两名放射科医生审查,最终的分歧由专家放射科医生解决. 对于AI和HR,BMI组之间的灵敏度和FP/扫描在统计上进行了比较.
主要成果:
- 高BMI组的AI灵敏度为0.75,低BMI组的AI灵敏度为0.80 (p=0.37),而HR灵敏度分别为0.76和0.84 (p=0.17).
- 对于AI,每次扫描 (FP/scan) 的假阳性为0.30 (高BMI) 和0.55 (低BMI) (p=0.005),对于HR则为0.05 (高BMI) 和0.16 (低BMI) (p=0.09).
- 在两组BMI中,人工智能始终表现出比人类读者更高的FP/扫描率 (p < 0.001).
结论:
- 在LDCT中,肺结节检测灵敏度不受人工智能或人类读者高低体重指数的显著影响.
- 与人类读者相比,人工智能软件在每次扫描中呈现出更高的假阳性率,无论BMI如何.
- 这些发现表明,虽然BMI不会损害检测灵敏度,但AI更高的错误阳性率需要进一步调查和潜在的优化.
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