基于肺磨玻璃结节CT征象的诊断模型列线图评估肺癌浸润性

被引:31
作者
郑慧
李建玉
王珊
钟飞扬
王彬宸
安文婷
廖美焱
机构
[1] 武汉大学中南医院放射科
关键词
磨玻璃结节; 腺癌; 浸润性; 诊断模型; 体层摄影术,X线计算机; 列线图;
D O I
暂无
中图分类号
R734.2 [肺肿瘤];
学科分类号
100117 [系统生物医学];
摘要
目的:探讨CT影像征象鉴别磨玻璃结节(GGNs)型肺腺癌浸润程度的价值。方法:搜集2017年6月-2019年10月在本院行手术切除的166例GGNs样肺癌患者的病例资料,其中浸润前组24例、浸润组142例。比较两组间影像学特征的差异,通过二项logistic回归分析筛选浸润性肺癌的危险因素并建立联合诊断模型,利用ROC曲线分析模型的诊断效能,采用nomogram图量化独立风险因素。结果:浸润前组中纯磨玻璃结节比例更高;两组间影像学比较,显示浸润前组直径更小、密度更低,而浸润组中胸膜改变、空气支气管征、脐凹征、血管改变、毛刺征及分叶征的出现率更高(P<0.05)。进一步行二项logistic回归分析显示血管改变(OR=4.319,P=0.01)、毛刺(OR=3.664,P=0.016)和脐凹征(OR=3.36,P=0.047)是浸润性肺癌的独立危险因素。ROC分析显示联合诊断模型的AUC为0.805(95%CI:0.713~0.898;P<0.05),最大约登指数0.893,对应的最佳截取值为2.121,敏感度为62.0%,特异度为87.5%。利用Nomogram图量化3个影像特征,C指数为0.828(95%:0.732~0.924)。结论:GGNs浸润性肺癌更容易出现血管改变、毛刺征和脐凹征,基于CT影像学特征建立的GGNs浸润性肺癌诊断模型具有较好的诊断效能,Nomogram图有助于量化诊断。
引用
收藏
页码:470 / 474
页数:5
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