2023年5月第30卷第5期CT结合AI肺结节诊断系统在肺结节诊断及分型鉴别中的应用徐珂,杨洁*,李秋实,王琦,郭孟珂,韩树亮(河南大学第一附属医院医学影像科,河南开封475000)【摘要】目的探讨CT结合AI肺结节诊断系统在肺结节诊断及分型鉴别中的应用效果。方法选取2021年9月至2022年9月我院收治的80例疑似肺结节患者,按照检查方法分为观察组与对照组。对照组采用CT检查诊断,观察组在对照组基础上采用AI肺结节诊断系统。比较两组诊断肺结节及分型的价值。结果病理检查结果显示80例患者共168个结节,其中恶性结节32个(19.05%)、良性结节136个(80.95%)。观察组结节检出率及恶性结节阳性检出率分别为97.62%、96.88%,高于对照组的82.14%、81.25%(P<0.05)。观察组在结节直径5cm、8~10cm及实性结节、磨玻璃结节、胸膜中部结节的检出率高于对照组(P<0.05)。结论CT结合AI肺结节诊断系统可提高肺结节检出率,且在鉴别结节分型方面价值较高。【关键词】CT;AI肺结节诊断系统;肺结节;分型鉴别中图分类号:R563文献标识码:Adoi:10.3969/j.issn.1674-4659.2023.05.0585ApplicationofCTCombinedwithAIPulmonaryNoduleDiagnosticSystemintheDiagnosisandTypingDifferentiationofPulmonaryNodulesXUKe,YANGJie*,LIQiushi,WANGQi,GUOMengke,HANShuliang(DepartmentofMedicalImaging,theFirstAffiliatedHospitalofHe'nanUniversity,Kaifeng475000,China;*Correspondingauthor:YANGJie,E-mail:bingjie1319@163.com)[Abstract]ObjectiveToexploretheapplicationeffectofCTcombinedwithAIpulmonarynodulediagnosticsysteminthediagnosisandtypingdifferentiationofpulmonarynodules.Methods80patientswithsuspectedpulmonarynodulesadmittedtoourhospitalfromSeptember2021toSeptember2022weredividedintoobservationgroupandcontrolgroupaccordingtotheexaminationmethods.ThecontrolgroupwasdiagnosedbyCT,andtheobservationgroupusedAIpulmonarynodulediagnosticsystemonthebasisofthecontrolgroup.Thevalueofdiagnosisandtypingdifferentiationofpulmonarynoduleswerecomparedbetweenthetwogroups.ResultsPathologicalexaminationshowed168nodulesin80patients,including32malignantnodules(19.05%)and136benignnodules(80.95%).Thedetectionrateofnodulesandthepositiverateofmalignantnodulesintheobservationgroupwere97.62%and96....