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中国临床研究英文版:2023,36(1):60-64
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CA19-9、CA125、CA72-4联合检测对卵巢黏液性肿瘤的诊断效能和预测模型研究
(1.中国医科大学附属第一医院妇科,辽宁沈阳110001;2.中国医科大学附属盛京医院妇科,辽宁沈阳110004)
Study on the diagnostic efficacy and predictive model of CA19-9,CA125,CA72-4 combined detection for mucinous ovarian tumors
摘要
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Received:April 22, 2022   Published Online:January 20, 2023
中文摘要: 目的探讨影响卵巢黏液性肿瘤(MOT)病理性质(良性、交界性及恶性)的危险因素,构建并评估交界性及恶性MOT诊断相关的预测模型。 方法采用回顾性研究方法,选取2019年1月至2020年10月在中国医科大学附属盛京医院妇科收治的466例MOT患者,根据术后石蜡病理性质分成三组:良性组321例(68.89%)、交界性组103例(22.10%)及恶性组42例(9.01%),收集并分析其病例资料。采用多元有序logistic回归分析影响MOT病理性质的危险因素,并建立诺模图(Nomogram),通过Harrells一致性指数(C-index)、校准线和决策曲线分析(DCA)对预测模型进行评估。 结果多因素logistic回归分析显示,CA19-9阳性[OR=2.193,95%CI(1.314~3.661)]、CA125阳性[OR=2.777,95%CI(1.684~4.580)]和CA72-4阳性[OR=2.345,95%CI(1.459~3.770)]是MOT病理性质升级的独立危险因素(P<0.01)。最终预测模型包括CA19-9、CA125、CA72-4。模型的C-index为0.764[95%CI(0.715~0.813)],校准线表明模型表现良好,DCA则表明模型有临床获益。 结论肿瘤标记物CA19-9、CA125和CA72-4是影响MOT病理性质的独立危险因素。本研究预测模型能够较好的预测交界性及恶性MOT,可对MOT的早期诊断和个性化管理提供有益帮助。
Abstract:ObjectiveToexploreriskfactorsofinfluencingthepathologicalproperties(benign,borderlineandmalignant)ofmucinousovariantumor(MOT)andtoestablishandestimatethepredictivemodelrelatedtothediagnosisofborderlineandmalignantMOT. MethodsAretrospectivestudywasconductedtoselect466MOTpatientsadmittedtotheDepartmentofGynecologyofShengjingHospitalofChinaMedicalUniversityfromJanuary2019toOctober2020.Accordingtothepathologicalpropertiesofparaffinsaftersurgery,theyweredividedintothreegroups:321cases(68.89%)inthebenigngroup,103cases(22.10%)intheborderlinegroup,and42cases(9.01%)inthemalignantgroup.Thecasedatawerecollectedandanalyzed.MultivariateorderedlogisticregressionwasusedtoanalyzetheriskfactorsaffectingthepathologicalpropertiesofMOT,andaNomogramwasestablished.ThepredictionmodelwasevaluatedbyHarrellsconsistencyindex(C-index),calibrationplotsanddecisioncurveanalysis(DCA). ResultsMultivariatelogisticregressionanalysisshowedthatCA19-9positive[OR=2.193,95%CI(1.314-3.661)],CA125positive[OR=2.777,95%CI(1.684-4.580)]andCA72-4positive[OR=2.345,95%CI(1.459-3.770)]wereindependentriskfactorsforpathologicalupgradeofMOT(P<0.01).ThefinalmodelincludedCA19-9,CA125andCA72-4.TheC-indexofthemodelwas0.764[95%CI(0.715-0.813)].Themodelshowedgooddiscriminationandgoodcalibration.Decisioncurveanalysisdemonstratedthatthemodelwasalsoclinicallyuseful. ConclusionCA19-9,CA125andCA72-4areindependentriskfactorsinfluencingthepathologicalpropertiesofMOT.ThisstudypresentsagoodmodelthatmayfacilitatepredictionforthediagnosisoftheborderlineandmalignantMOTandthus,mayhelptheearlydiagnosisandindividualizedmanagementofMOT.
文章编号:     中图分类号:R737.31    文献标志码:A
基金项目:辽宁省应用基础研究计划(2022JH2/101300039);沈阳市科技计划(22-321-33-54)
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