摘要
目的探讨基于双参数磁共振成像(biparametric magnetic resonance imaging,bpMRI)前列腺影像报告和数据系统2.1版(prostate imaging reporting and data system version 2.1,PI-RADS v2.1)评分联合前列腺特异性抗原密度(prostate specific antigen density,PSAD)对移行带前列腺癌(transitional zone prostate cancer,TZPCa)的诊断价值。材料与方法回顾性分析115例经病理证实的前列腺疾病患者资料,分为TZPCa组和良性前列腺增生(benign prostatic hyperplasia,BPH)组,依据PI-RADS v2.1评分对MRI图像进行评分,采用单因素和多因素logistic回归分析患者的年龄、前列腺体积(prostate volume,PV)、总前列腺特异性抗原(total prostate specific antigen,tPSA)、游离前列腺特异性抗原(free PSA,fPSA)与tPSA的比值(fPSA/tPSA)、PSAD及PI-RADS v2.1评分等指标。通过受试者工作特征(receiver operating characteristic,ROC)曲线分析PI-RADS V2.1、PSAD及联合诊断对TZPCa的诊断效能,并计算曲线下面积(area under the curve,AUC)。结果tPSA、fPSA/tPSA、PSAD与PI-RADS v2.1评分在TZPCa组与BPH组差异具有统计学意义(P<0.05);PI-RADS v2.1评分、PSAD是TZPCa的独立预测因子;PI-RADS v2.1评分、PSAD及联合模型诊断TZPCa的AUC分别为0.916[95%置信区间(confidence interval,CI):0.864~1.000],0.812(95%CI:0.702~0.921),0.952(95%CI:0.903~1.000),联合模型诊断效能最优。结论PI-RADS v2.1评分联合PSAD提高了对TZPCa的诊断价值,减少不必要的穿刺活检。
Objective:To explore the diagnostic value of prostate imaging reporting and data system version 2.1(PI-RADS v2.1)score based on biparametric magnetic resonance imaging(bpMRI)combined with prostate specific antigen density(PSAD)for transitional zone prostate cancer(TZPCa).Materials and Methods:A retrospective analysis was conducted on 115 patients with prostate diseases confirmed by pathology,and patients were divided into TZPCa group and benign prostatic hyperplasia(BPH)groups.The MRI images were scored according to PI-RADS v2.1,univariate and multivariate logistic regression analyses were performed on the patients'age,prostate volume(PV),total prostate specific antigen(tPSA),the ratio of free PSA to tPSA(fPSA/tPSA),PSAD and PI-RADS v2.1 score.The diagnostic efficacy of PI-RADS V2.1,PSAD and combined diagnosis for TZPCa was analyzed by receiver operating characteristic(ROC)curve,and the area under the curve(AUC)was calculated.Results:tPSA,fPSA/tPSA,PSAD,and PI-RADS v2.1 scores were statistically significant between TZPCa group and BPH group(P<0.05);PI-RADS v2.1 score and PSAD were independent predictors of TZPCa;the AUC values of PI-RADS v2.1 score,PSAD and combined model for diagnosing TZPCa are 0.916[95%confidence interval(CI):0.864 to 1.000],0.812(95%CI:0.702 to 0.921),and 0.952(95%CI:0.903 to 1.000)respectively.The combined model have the best diagnostic performance.Conclusions:The combination of PI-RADS v2.1 score and PSAD improves the diagnostic value for TZPCa and reduces unnecessary biopsy.
作者
陈维娟
赵飞
李新红
王志岗
苏贝贝
马妮
CHEN Weijuan;ZHAO Fei;LI Xinhong;WANG Zhigang;SU Beibei;MA Ni(Department of Imaging,General Hospital of the Ordnance Industry,Xi'an,710065,China;Department of Oncology,General Hospital of the Ordnance Industry,Xi'an,710065,China)
出处
《磁共振成像》
北大核心
2025年第8期95-99,105,共6页
Chinese Journal of Magnetic Resonance Imaging
关键词
前列腺癌
磁共振成像
前列腺特异性抗原密度
前列腺影像报告和数据系统
prostate cancer
magnetic resonance imaging
prostate specific antigen density
prostate imaging reporting and data system