人工智能定量參數(shù)在直徑?2 cm磨玻璃密度 肺腺癌浸潤(rùn)程度中的預(yù)測(cè)價(jià)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;

肺癌在我國(guó)范圍內(nèi)新發(fā)病例以及死亡病例數(shù)量均位居前列，腺癌屬于最為常見的肺癌類型，依照不同的生長(zhǎng)階段可將肺癌分為原位癌、浸潤(rùn)性腺癌及微浸潤(rùn)腺癌，其中，原位癌及微浸潤(rùn)腺癌術(shù)后復(fù)發(fā)率較低，臨床多采用楔形切除術(shù)，浸潤(rùn)性腺癌術(shù)后復(fù)發(fā)風(fēng)險(xiǎn)較高，臨床多采用肺葉切除術(shù)，針對(duì)術(shù)后存在高復(fù)發(fā)風(fēng)險(xiǎn)的病理亞型患者術(shù)后需要采用輔助治療[1，2]。（剩余5398字）