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利用前列腺突出叶体积预测经尿道前列腺切除术患者手术疗效的模型

A Prediction Model of Operation Efficacy Using Protruding Prostate Lobe Volume in Patients Who Are Candidates for Transurethral Resection of Prostate.

作者信息

Demirbas Arif, Gunseren Kadir Omur, Bagcioglu Murat, Yucel Mehmet Ozgur

机构信息

Department of Urology, Inegol State Hospital, Bursa/Inegol, Turkey,

Department of Urology, Inegol State Hospital, Bursa/Inegol, Turkey.

出版信息

Urol Int. 2019;103(2):172-179. doi: 10.1159/000501175. Epub 2019 Jun 26.

DOI:10.1159/000501175
PMID:31242478
Abstract

PURPOSE

To create a prediction model that could preoperatively measure the success of the transurethral prostate resection (TURP) because of bladder outlet obstruction.

METHODS

Patients aged 50-80 years applied with TURP were examined prospectively and evaluated in respect of the preoperative and postoperative values of maximum flow rate (Qmax), international prostate symptom score (IPSS), quality of life (QoL) score and post-voiding residual (PVR) urine amount. On the preoperative transabdominal ultrasonography, total prostate volume (TPV), and protruding prostate lobe volume (PPLV) were measured and the protruding ratio (PR), as the ratio of PPLV to TPV, was calculated. Based on the mean of the preoperative and postoperative Qmax difference (Qmax-D) value, Group 1 (n = 33) was defined as "low efficacy" and Group 2 (n = 30) as "high efficacy".

RESULTS

A correlation was determined between the QMax-D, IPSS difference, PVR difference, and QoL difference measured for the efficacy of the operation, and TPV, PPLV and PR. The results of multivariate analysis showed the main effect to be created by PR (p = 0.000; OR 1.596). In the evaluation with receiver operating characteristic curve analysis of high efficacy obtained in the TURP, a significantly powerful effect of the measurements of PPLV area under curve (AUC 0.922 [0.855-0.989] p= 0.000) and PR (AUC 0.954 [0.982-1.000] p = 0.000) was determined. The cutoff value of 11.5 was detected for PR. Efficacy sensitivity and the positive predictive values were recorded as 93.3%, and specificity and negative predictive value as 93.9%.

CONCLUSION

When determining candidate patients for TURP surgery, measurements of the PPLV and especially the PR should be taken into consideration in the preoperative prediction of efficacy.

摘要

目的

创建一种预测模型,用于术前评估因膀胱出口梗阻而行经尿道前列腺切除术(TURP)的成功率。

方法

对年龄在50 - 80岁接受TURP的患者进行前瞻性检查,并评估其术前和术后的最大尿流率(Qmax)、国际前列腺症状评分(IPSS)、生活质量(QoL)评分以及排尿后残余尿量(PVR)。在术前经腹部超声检查中,测量前列腺总体积(TPV)和前列腺突出叶体积(PPLV),并计算突出率(PR),即PPLV与TPV的比值。根据术前和术后Qmax差值(Qmax - D)的平均值,将第1组(n = 33)定义为“低疗效组”,第2组(n = 30)定义为“高疗效组”。

结果

确定了手术疗效的QMax - D、IPSS差值、PVR差值和QoL差值与TPV、PPLV和PR之间的相关性。多因素分析结果显示主要影响因素为PR(p = 0.000;OR 1.596)。在对TURP获得的高疗效进行受试者工作特征曲线分析评估时,确定PPLV测量值(曲线下面积AUC 0.922 [0.855 - 0.989] p = 0.000)和PR(AUC 0.954 [0.982 - 1.000] p = 0.000)具有显著强大的效应。检测到PR的截断值为11.5。疗效敏感性和阳性预测值记录为93.3%,特异性和阴性预测值为93.9%。

结论

在确定TURP手术的候选患者时,术前预测疗效应考虑PPLV的测量值,尤其是PR。

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