摘要
目的:建立定量参数诊断模型对表现为磨玻璃结节(GGN)的浸润性肺腺癌(IAC)进行有效鉴别和判断。方法:回顾性分析GGN病例278例,其中IAC 186例,非浸润性腺癌(含微浸润腺癌)92例。使用人工智能识别软件自动勾画病灶并进行三维定量测量,得到结节的密度、体积、质量、2D长、短径及3D轴向、标准径。使用Mann-Whitney U检验比较浸润组及非浸润组各参数差异,使用多元逻辑分析建立定量参数模型并勾画ROC曲线。结果:非浸润组与浸润组在各参数中均有统计学差异(P<0.001)。多元逻辑分析后纳入密度和2D长径两个参数建立IAC定量诊断模型,ROC曲线显示其曲线下面积为0.819,高于各单独参数的诊断效能。结论:基于密度和2D长径的定量诊断模型可有效判断和诊断表现为磨玻璃密度结节的IAC。
Objective: To establish a quantitative diagnosis model for the diagnosis of lung invasive adenocarcinoma with ground glass nodule(GGN). Methods: Two hundred and seventy-eight cases of GGNs were analyzed retrospectively, including186 cases of lung invasive adenocarcinoma(IAC) and 92 cases of non-invasive adenocarcinoma(including minor invasive ade-nocarcinoma MIA). The density, volume, mass, 2D long and short diameter, 3D axial diameter and standard diameter of the nodules were obtained by using the artificial intelligence recognition software. Mann Whitney U test was used to compare the parameters of IAC group and non-IAC group, and multivariate logistic analysis was used to establish quantitative parameter model and plot ROC curve. Results: There were significant differences between the IAC group and non-IAC group for all the parameters(P<0.001). After multiple logistic analysis, the density and 2D length were included to establish the quantitative diagnosis model. The ROC curve showed that the area under the curve(ROC) of the model was 0.819, which was higher than the diagnostic efficiency of each single parameter. Conclusion: The quantitative diagnosis model based on the density and 2D long diameter can effectively diagnose the invasive adenocarcinoma with ground glass density nodules.
作者
赵鎏
刘馨
杜思瑶
高斯
赵睿萌
张立娜
ZHAO Liu;LIU Xin;DU Si-yao;GAO Si;ZHAO Rui-meng;ZHANG Li-na(Department of Radiology,the First Affiliated Hospital of China Medical University,Shenyang 110001,China)
出处
《中国临床医学影像杂志》
CAS
2020年第7期474-477,共4页
Journal of China Clinic Medical Imaging
关键词
肺肿瘤
腺癌
体层摄影术
X线计算机
Lung neoplasms
Adenocarcinoma
Tomography
X-ray computed
