人工智能定量参数在直径⩽2 cm磨玻璃密度 肺腺癌浸润程度中的预测价值

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Predictive value of artificial intelligencequantitative parameters in the degree of invasion of lung adenocarcinomawitha glassdensityof lessthan 2cm indiameterLiShanjie，ChenYangyang，LiuGuohua.ImagingDepartment，Xinxiang Alliance Hospital，Henan 4538oo，China

【Abstract】 ObjectiveTo analyze the predictive value of artificial inteligence quantitative parameters in the degree of lung gland infiltration with a diameter ⩽2 cm ground glass density. MethodsNinety-three patients with lungcancer diagnosedand treated inour hospital from August 2O21 to December 2023 wererandomly selected to perform chest CT scanning with a CT scanner，and the thin layer images of chest CT lung Windows were imported intotheartificial intellgence lung noduleauxiliary diagnosis system.Thedetection of ground glass density nodules and the interval of lung noduleoperation wereanalyzed in the twogroups.Theartificial intellgencequantitative parameters in the two groups werecompared to analyze the factors afecting the invasiveness oflung adenocarcinoma with ground glass density ⩽2 cm in diameter， the Receiver operator characteristic curve （ROC） of the two groups' artificial inteligencequantitativeparametersandthesensitivityandspecificityof each parameterinpredicting ground glass nodule with a diameter ⩽2 cm.ResultsA total of 68 mixed ground-glass nodules （mGGN） and 39 pure ground-glassnodules （pGGN）were detected in all107 ground-glass density nodules.Postoperative pathological diagnosis results showed that 45 nodules were detected in the observation group and 62 nodules were detected in the control group.Compared with thecontrol group，the proportion of PGGN in the observation groupwas significantly lower and the proportion of mGGN was significantly higher （ P <0.05）.There was no significant difference in the time interval of pulmonary nodule operation between the two groups （ P >0.05）. There was no significant difference in the minimum CT value between the control group and the observation group （ P> 0.05）. Compared with the control group， the patients in the observation group were older，and the maximum CT value，average CT value， maximum surface area，three-dimensional lengthdiameter，andvolumewere higher （P

【Key words】 Adenocarcinoma of lung;Artificial intelligence；Ground glass density；Predictive value;

肺癌在我国范围内新发病例以及死亡病例数量均位居前列，腺癌属于最为常见的肺癌类型，依照不同的生长阶段可将肺癌分为原位癌、浸润性腺癌及微浸润腺癌，其中，原位癌及微浸润腺癌术后复发率较低，临床多采用楔形切除术，浸润性腺癌术后复发风险较高，临床多采用肺叶切除术，针对术后存在高复发风险的病理亚型患者术后需要采用辅助治疗[1，2]。（剩余5398字）