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512层螺旋CT增强扫描并支气管树重建结合人工智能分析对早期中央型肺癌诊断价值分析

Analysis of the Diagnostic Value of 512 Slice Spiral CT Enhanced Scan Combined with Bronchial TreeReconstruction and Artificial Intelligence Analysis for Early Central Lung Cancer
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摘要 目的:分析512层螺旋CT增强扫描并支气管树重建结合人工智能分析对早期中央型肺癌诊断价值。方法:抽取本院2020年1月~2022年12月60例疑似早期中央型肺癌患者进行研究。所有患者均进行CT扫描,以最终结果为依据,对比常规CT扫描与512层螺旋CT增强扫描并支气管树重建结合人工智能分析的诊断结果。结果:60例疑似早期中央型肺癌患者最终确诊38例。常规CT显示阳性39例,阴性21例,其中误诊8例,漏诊7例,误诊率、漏诊率分别为36.36%(8/22)、18.42%(7/38)。CT增强扫描显示阳性39例,阴性21例,其中误诊2例,漏诊1例,误诊率、漏诊率分别为9.09%(2/22)、2.63%(1/38)。CT增强扫描误诊率、漏诊率低于常规CT,P<0.05。CT增强扫描灵敏度97.37%、特异度90.91%以及准确性95.00%均高于常规CT扫描灵敏度81.58%、特异度63.64%以及准确性75.00%,P<0.05。结论:在早期中央型肺癌诊断中,512层螺旋CT增强扫描并支气管树重建结合人工智能分析更利于提高疾病检出率,降低临床误诊以及漏诊率,为临床制定治疗方案提供可靠依据。 Objective:To analyze the diagnostic value of 512 slice spiral CT enhanced scanning combined with bronchial tree reconstruction and artificial intelligence analysis for early central lung cancer.Methods:A study was conducted on 60 suspected early-stage central lung cancer patients from January 2020 to December 2022 in our hospital.All patients underwent CT scans,and based on the final results,the diagnostic results were compared between conventional CT scans and 512 slice spiral CT enhanced scans with bronchial tree reconstruction combined with artificial intelligence analysis.Results:Among the 60 suspected early-stage central lung cancer patients,38 were ultimately diagnosed.Conventional CT showed 39 positive cases and 21 negative cases,of which 8 were misdiagnosed and 7 were missed.The misdiagnosis rate and missed diagnosis rate were 36.36%(8/22)and 18.42%(7/38),respectively.CT enhanced scan showed 39 positive cases and 21 negative cases,of which 2 were misdiagnosed and 1 was missed.The misdiagnosis rate and missed diagnosis rate were 9.09%(2/22)and 2.63%(1/38),respectively.The misdiagnosis rate and missed diagnosis rate of CT enhanced scan were lower than those of conventional CT,with P<0.05.The sensitivity,specificity,and accuracy of enhanced CT scans were 97.37%,90.91%,and 95.00%,all higher than those of conventional CT scans,with a sensitivity of 81.58%,specificity of 63.64%,and accuracy of 75.00%,P<0.05.Conclusion:In the early diagnosis of central lung cancer,the combination of 512 slice spiral CT enhanced scan and bronchial tree reconstruction with artificial intelligence analysis is more conducive to improving disease detection rate,reducing clinical misdiagnosis and missed diagnosis rate,providing reliable basis for clinical treatment planning.
作者 廖忠剑 郭佳 杨宏 雷剑 邓星星 黄颖文 LIAO Zhong-jian;GUO Jia;YANG Hong;LEI Jian;DENG Xing-xing;HUANG Ying-wen(Imaging Department of Ganzhou People’s Hospital,Jiangxi Ganzhou 341000)
出处 《中国医疗器械信息》 2024年第16期59-61,共3页 China Medical Device Information
基金 江西省卫生健康委科技计划项目(项目名称:512层螺旋CT增强扫描并支气管树重建结合人工智能分析对早期中央型肺癌诊断价值分析,项目编号:202140731) 赣州市科技计划项目(项目名称:基于能谱CT的原发性肝癌亚型诊断及预后预测时间序列人工智能模型构建与应用研究,项目编号:2023LNS17497)。
关键词 512层螺旋CT 增强扫描 井管树重建 人工智能 早期中央型肺癌 诊断价值 512 slice spiral CT enhanced scanning reconstruction of well pipe trees artificial intelligence early central type lung cancer diagnostic value
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