人工智能定量参数预测直径≤2cm磨玻璃密度肺腺癌浸润程度

Artificial Intelligence Quantitative Parameters in Predicting Invasion of Lung Adenocarcinoma with Diameter≤2 cm of Ground-Glass Density

目的探讨人工智能定量参数预测直径≤2 cm磨玻璃密度肺腺癌浸润程度的临床价值。资料与方法回顾性分析2019年3月—2022年4月太和县人民医院经术后病理证实的直径≤2 cm磨玻璃密度的肺腺癌患者80例共90个结节,其中原位癌8个、微浸润腺癌34个、浸润性腺癌48个,将其分为研究组(浸润性腺癌)和对照组(原位癌及微浸润腺癌)。比较两组体积、三维长径、最大面面积、最大CT值、最小CT值、平均CT值等人工智能定量参数的差异,评估定量参数对肺腺癌侵袭程度的预测价值。结果两组年龄、体积、三维长径、最大面面积、最大CT值、平均CT值差异有统计学意义(P<0.05),两组性别和最小CT值差异无统计学意义(P>0.05)。二元Logistic回归分析结果显示,三维长径(优势比2.020,P=0.034)、最大CT值(优势比1.008,P=0.013)是预测直径≤2 cm磨玻璃密度肺腺癌侵袭性的独立影响因子。由三维长径和最大CT值构建的回归模型预测效能最佳,曲线下面积为0.901,阈值为2.432时,其敏感度和特异度分别为93.75%和71.43%。结论人工智能定量参数对直径≤2 cm磨玻璃密度肺腺癌浸润程度具有较高的预测价值,以三维长径和最大CT值建立的联合模型诊断效能最高。

Purpose To investigate the clinical value of artificial intelligence(AI)quantitative parameters in predicting the invasion degree of lung adenocarcinoma with diameter≤2 cm of ground-glass density.Materials and Methods A total of 80 patients with lung adenocarcinoma with diameter≤2 cm ground-glass density confirmed by pathology from March 2019 to April 2022 were retrospectively analyzed.A total of 90 nodules were rerolled,including 8 adenocarcinomas in situ(AIS),34 minimally invasive adenocarcinomas(MIA)and 48 invasive adenocarcinomas(IAC).They were divided into the experimental group(IAC)and the control group(AIS and MIA).The differences of the AI quantitative parameters such as volume,three-dimensional length diameter,maximum area,maximum CT value,minimum CT value and average CT value were compared between two groups,and the predictive values of AI quantitative parameters for the invasion degree of lung adenocarcinoma was evaluated.Results There were statistically significant differences with age,volume,three-dimensional length diameter,maximum area,maximum CT value and average CT value between the two groups(all P<0.05),but no statistically significant differences in gender and minimum CT value(both P>0.05).Binary Logistic regression analysis showed that the three-dimensional length diameter(odd ratio=2.020,P=0.034)and the maximum CT value(odd ratio=1.008,P=0.013)were independent predictors for lung adenocarcinoma with diameter≤2 cm of ground-glass density.The regression model based on the three-dimensional length diameter and the maximum CT value had the best predictive performance,and its AUC was 0.901.When the critical value was 2.432,its sensitivity and specificity were 93.75%and 71.43%,respectively.Conclusion AI quantitative parameters have a high value in predicting the degree of invasion of lung adenocarcinoma with diameter≤2 cm of ground-glass density,and the combined model with three dimensional long diameter and maximum CT value has the highest diagnostic efficiency.