多原发肺癌病理结果与AI辅助CT诊断的相关性研究

目的 对比分析人工智能(Artificial Intelligence,AI)技术诊断多原发肺癌(Multiple Primary Lung Cancer,MPLC)与临床病理诊断结果 的一致性,进而探索AI在MPLC的诊断中的临床应用价值.方法 收集2017—2019年北京大学第三医院海淀院区收治的26例MPLC患者...

Research on the Correlation between Pathological Findings of Multiple Primary Lung Cancer and AI-Assisted CT Diagnosis

Objective To explore the clinical application value of artificial intelligence(AI)in the diagnosis of multiple primary lung cancer(MPLC)by analyzing the consistency between the diagnoses based on AI assistance and the clinical pathological results.Methods Twenty-six patients with MPLC who were admitted to Beijing Haidian Hospital from 2017 to 2019 were enrolled in this study.A total of 57 cancer lesions were found in these enrolled patients and divided into 2 groups according to their pathological grades,including group 1(0 and T1 a1 stages)and group 2(T1a2,T1a3,T1b,T3a,and T3b stages).AI-assisted diagnostic system was utilized to measure the size and density of nodules quantitatively.Theχ^2-test was utilized to study the correlation between pathological groups(binary classification)and AI system predicted nodule types.In addition,linear correlation and regression analysis were performed between pathological grades(0,T1a1,T1a2,T1a3,T1b,T3a,and T3b stages)and AI system-output measurements.Results A significant correlation between AI predicted nodule types and pathological groups(binary classification)was observed(P<0.05).In addition,pathological grades(0,T1a1,T1a2,T1a3,T1b,T3a,and T3b stages)was shown to be significantly correlated with the nodule volume,the longest and shortest diameter of nodules measured by the AI system(P<0.001);the longest diameter measurement value of nodules increased with the advancement of pathological grades;the nodule volume and the longest diameter measured by AI system increased along with the growth of tumor area as well.The volume of nodules measured by AI system also increased with the advancement of pathological stages(model 3)even after the adjustment of tumor area;meanwhile,the longest dimension of nodules and the longest diameter measured by the AI system increased along with the increase of tumor area even after the adjustment of pathological grades;in contrast,the measured volume of nodule by AI system decreased along with the increase of tumor area.Conclusion The AI diagnostic system displayed a decent diagnostic performance for multiple primary lung cancer(MPLC)in different pathological grades evidence by the strong consistency to clinical pathological diagnosis results.In clinical imaging diagnoses,suspicious malignant nodes should be focused and followed up intensely by referring to AI system predicted results.In addition to AI measured volume of nodules,other signs and features could suggest the possibilities of MPLC incidence and improve the detection rate of MPLC in clinical practice.