人工智能诊断系统在肺结节CT筛查中的应用价值评估OA
Application value evaluation of artificial intelligence diagnostic system in CT screening of pulmonary nodules
目的 分析人工智能诊断系统在肺结节CT筛查中的应用价值.方法 回顾性分析广州市番禺区中医院2025年2月至2025年5月120例肺结节胸部CT扫描的患者,完成胸部CT扫描,予以医师阅片、AI系统分析,观察结果.结果 由多位高级专家在知晓AI和初版医师阅片结果后达成的一致共识120例肺结节筛查患者影像学资料最终筛查结节数量136个,利用医师人工阅片肺结节筛查个数132个,占比97.06%,人工智能诊断系统肺结节筛出136个,占比100.00%,相较于医师人工阅片,人工智能诊断系统结节筛查检出率更高(P<0.05);136个结节中,实性、部分实性、磨玻璃、钙化结节分别有99个、3个、20个、14个,其中人工智能诊断系统不同密度结节诊断率均为100%,高于医师人工阅片检出率[100.00%(99/99)、33.33%(1/3)、90.00%(18/20)、100.00%(14/14),共计97.06%(132/136)](P<0.05),但在亚组分析中,虽人工智能诊断系统检出率更高,但差异无统计学意义(P>0.05);有关结节大小检出情况,结节<1 cm,人工智能诊断系统检出率[90.00%(18/20)]高于医师人工阅片[70.00%(14/20]);1~2 cm结节人工智能诊断系统检出率[91.67%(22/24)]高于医师人工阅片[75.00%(18/24)];2~3 cm结节人工智能诊断系统检出率[90.48%(38/42)]高于医师人工阅片[78.57%(33/42)],3~4 cm结节,人工智能诊断系统检出[率100.00%(50/50)]高于医师人工阅片[96.00%(48/50)],总计人工智能诊断系统检出率[94.12%(128/136)]高于医师人工阅片[83.09%(113/136)](P<0.05).结论 肺结节CT筛查中,相较于医师人工阅片,人工智能诊断系统肺结节检出率更高,结节性质及大小评估方面准确性更高,建议在临床疾病诊断中实施推广.
[Objective]To analyze the application value of artificial intelligence diagnostic systems in CT screening of pulmonary nodules.[Methods]A retrospective analysis was conducted on 120 patients with pulmonary nodules who underwent chest CT scans in Panyu Hospital of Traditional Cinese Medicine from February 2025 to May 2025.Chest CT scans were completed,and the films were read by physicians and analyzed by the AI system to observe the results.[Results]Based on the unanimous consensus reached by multiple senior experts after learning about the AI and the initial physician's film reading results,the final number of nodules screened from the imaging data of 120 patients with pulmonary nodules was 136.The number of pulmonary nodules screened by the physician's manual film reading was 132,accounting for 97.06%,and 136 were screened out by the artificial intelligence diagnosis system,accounting for 100.00%.Compared with the manual film reading by physicians,the detection rate of nodule screening by the artificial intelligence diagnostic system was higher,P<0.05.Among the 136 nodules,there were 99 solid,3 partial solid,20 ground-glass and 14 calcified nodules respectively.Among them,the diagnosis rates of nodules of different densities by the artificial intelligence diagnosis system were all 100%.The detection rate was higher than that of the physician's manual film reading,which was 100.00%(99/99),33.33%(1/3),90.00%(18/20),and 100.00%(14/14),totaling 97.06%(132/136).However,in the subgroup analysis,although the detection rate of the artificial intelligence diagnostic system was higher,however,the difference did not reach statistically significant P>0.05.Regarding the detection of nodule size,for nodules<1 cm,the detection rate of the artificial intelligence diagnostic system was 90.00%(18/20),which was higher than that of the physician's manual reading of films,which was 70.00%(14/20).The detection rate of the 1-2 cm nodules by the artificial intelligence diagnosis system was 91.67%(22/24),which was higher than that of the physician's manual reading at 75.00%(18/24).The detection rate of the 2-3 cm nodules by the artificial intelligence diagnosis system was 90.48%(38/42),which was higher than that of the physician's manual reading at 78.57%(33/42).For the 3-4 cm nodules,the detection rate of the artificial intelligence diagnosis system was 100.00%(50/50),which was higher than that of the physician's manual reading at 96.00%(48/50).The total detection rate of the artificial intelligence diagnostic system was 94.12%(128/136),which was higher than that of the physician's manual film reading at 83.09%(113/136),P<0.05.[Conclusion]In CT screening of pulmonary nodules,compared with manual film reading by physicians,the artificial intelligence diagnostic system has a higher detection rate of pulmonary nodules and higher accuracy in assessing the nature and size of nodules,which is recommended to implement and promote in clinical disease diagnosis.
林新
广州市番禺区中医院,广东 广州 511400
医药卫生
人工智能诊断系统肺结节CT筛查应用价值
artificial intelligence diagnostic systempulmonary nodulesCT screeningapplication value
《中国医学工程》 2026 (3)
40-43,4
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