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计算机辅助三维容积CT鉴别肺不典型腺瘤样增生和原位性腺癌OACSTPCD

Computer-Aided 3D Volumetric CT Differentiates Atypical Adenomatous Hyperplasia of the Lung from Adenocarcinoma In situ

中文摘要英文摘要

目的:回顾性分析磨玻璃密度的肺不典型腺瘤样增生(atypical adenomatous hyperplasia,AAH)和原位性腺癌(adenocarcinoma in situ,AIS)的计算机辅助三维容积CT表现,并探讨其对两者鉴别诊断的可行性.方法:回顾性分析自 2011 年 10 月至 2023 年 6 月间,经手术切除病理证实的患有AAH和AIS结节的 387 例患者的薄层CT影像,对用计算机辅助三维容积CT小结节分析软件自动测量的结节最大径、平均CT值和体积的量化参数,以及半自动获取的定性数据(包括性别、结节形态、结节瘤肺界面、分叶、密度分类、空泡征和/或支气管充气征、血管集束征、胸膜凹陷征等)进行统计学分析,筛选出对AAH和AIS有鉴别意义的指标及诊断AIS的独立影响因素,同时评价计算机辅助三维CT自动获取的量化参数对AIS的评估效能.结果:本研究最终获取AAH结节 79 枚,AIS结节 354枚.筛选出对AAH和AIS有鉴别意义的指标包括空泡和/或支气管充气征(P<0.001)、血管集束征(P = 0.001)、结节最大径(P<0.001)、平均CT值(P = 0.015)、结节体积(P<0.001),其中结节最大径(OR = 1.259,95%CI:1.123~1.413,P<0.001)、空泡征和/或空气支气管征(OR = 2.183,95%CI:1.210~3.939,P = 0.009)为诊断AIS的独立影响因素.计算机辅助三维容积CT量化参数诊断AIS的效能优势顺序为结节最大径(AUC = 0.670)>结节体积(AUC = 0.648)>平均CT值(AUC = 0.638).结论:计算机辅助三维容积CT在鉴别诊断AAH和AIS上有一定的优势,结节的空泡和/或支气管充气征、血管集束征、结节最大径、平均CT值、结节体积对鉴别两者有诊断价值,其中结节最大径、空泡和/或空气支气管征是诊断AIS的独立影响因素,并且结节最大径诊断效能优于结节体积和结节平均CT值.

Objectives:To retrospectively analyze the computer-aided 3D volumetric CT findings of ground-glass density nodules in the identification of pulmonary atypical adenomatous hyperplasia(AAH)and adenocarcinoma in situ(AIS),and explore the feasibility of differential diagnosis of the two.Methods:From October 2011 to June 2023,the thin-slice CT manifestations of 387 patients with AAH and AIS nodules confirmed by surgical resection were retrospective-ly analyzed.The quantitative data including the maximum nodular diameter,mean CT value and nodular volume automatical-ly measured by Thoracic VCAR software,and the qualitative data of the patients obtained semi-automatically(sex,morphology of nodules,pulmonary nodule interface,lobulation,density classification,vacuolar sign and/or bronchial inflation sign,vessel convergence sign,pleural depression sign)were statistically analyzed to screen out the indicators that were significant in the dif-ferentiation of AAH and AIS and the independent influencing factors for the diagnosis of AIS,and evaluate the efficiency of quan-titative parameters automatically obtained by computer-aided 3D volumetric CT in the diagnosis of AIS.Results:In this study,79 AAH nodules and 354 AIS nodules were obtained.The indicators that were important for differentiating AAH and AIS includ-ing vacuolar sign and/or bronchial inflation sign(P<0.001)and vessel convergence sign(P = 0.001),maximum nodular diame-ter(P<0.001),mean CT value(P = 0.013),nodular volume(P<0.001)were screened.The maximum diameter of the nodule(OR = 1.259,95%CI:1.123~1.413,P<0.001)and vacuolar sign and/or bronchial inflation sign(OR = 2.183,95%CI:1.210~3.939,P = 0.009)were the independent influencing factors for the diagnosis of AIS.The top three efficient quantitative pa-rameters obtained by computer-aided 3D volumetric CT in the diagnosis of AIS were maximum nodular diameter(AUC = 0.670),nodular volume(AUC = 0.648)and mean CT value(AUC = 0.638).Conclusion:Computer-aided 3D volumetric CT has certain advantages in the differential diagnosis of AAH and AIS.The vacuolar sign and/or bronchial inflation sign,vessel convergence sign,maximum nodular diameter,mean CT value and nodular volume are valuable in the differential diagnosis of the two.Maxi-mum nodular diameter and vacuolar sign and/or bronchial inflation sign are independent factors affecting the diagnosis of AIS,and the diagnostic efficiency of maximum nodular diameter is better than nodular volume and mean CT value.

李成州;陈娟;袁永刚;杨静;杨蓉;郭清奎

200336 上海,上海交通大学医学院附属同仁医院 核医学科200336 上海,上海交通大学医学院附属同仁医院 胸外科200336 上海,上海交通大学医学院附属同仁医院 病理科

临床医学

不典型腺瘤样增生原位性腺癌计算机辅助三维容积CT鉴别诊断

Atypical adenomatous hyperplasiaAdenocarcinoma in situComputer-aided 3D volumetric CTDifferential diagnosis

《肿瘤预防与治疗》 2024 (001)

26-33 / 8

This study was supported by grants from Health Commission of Changning District of Shanghai(No.20214Y001)and Science and Technology Department of Changning District of Shanghai(No.CNKW2020Y03). 上海市长宁区卫生与健康委员会科研项目(编号:20214Y001);上海市长宁区科学技术委员会课题(编号:CNKW2020Y03)

10.3969/j.issn.1674-0904.2024.01.003

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