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基于腹腔镜前列腺癌根治术后前列腺MRI参数的早期尿失禁恢复预测模型

[Predictive model of early urinary continence recovery based on prostate gland MRI parameters after laparoscopic radical prostatectomy].

作者信息

Mao Hai, Zhang Fan, Zhang Zhan Yi, Yan Ye, Hao Yi Chang, Huang Yi, Ma Lu Lin, Chu Hong Ling, Zhang Shu Dong

机构信息

Department of Urology, Peking University Third Hospital, Beijing 100191, China.

Department of Urology, Traditional Chinese Medicine Hospital of Fengjie, Fengjie 404600, Chongqing, China.

出版信息

Beijing Da Xue Xue Bao Yi Xue Ban. 2023 Oct 18;55(5):818-824. doi: 10.19723/j.issn.1671-167X.2023.05.007.

DOI:10.19723/j.issn.1671-167X.2023.05.007
PMID:37807734
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10560893/
Abstract

OBJECTIVE

Constructing a predictive model for urinary incontinence after laparoscopic radical prostatectomy (LRP) based on prostatic gland related MRI parameters.

METHODS

In this study, 202 cases were included. All the patients were diagnosed with prostate cancer by prostate biopsy and underwent LRP surgery in Peking University Third Hospital. The preoperative MRI examination of all the patients was completed within 1 week before the prostate biopsy. Prostatic gland related parameters included prostate length, width, height, prostatic volume, intravesical prostatic protrusion length (IPPL), prostate apex shape, . From the first month after the operation, the recovery of urinary continence was followed up every month, and the recovery of urinary continence was based on the need not to use the urine pad all day long. Logistic multivariate regression analysis was used to analyze the influence of early postoperative recovery of urinary continence. Risk factors were used to draw the receiver operator characteristic (ROC) curves of each model to predict the recovery of postoperative urinary continence, and the difference of the area under the curve (AUC) was compared by DeLong test, and the clinical net benefit of the model was evaluated by decision curve analysis (DCA).

RESULTS

The average age of 202 patients was 69.0 (64.0, 75.5) years, the average prostate specific antigen (PSA) before puncture was 12.12 (7.36, 20.06) μg/L, and the Gleason score < 7 points and ≥ 7 points were 73 cases (36.2%) and 129 cases (63.9%) respectively, with 100 cases (49.5%) at T1/T2 clinical stage, and 102 cases (50.5%) at T3 stage. The prostatic volume measured by preoperative MRI was 35.4 (26.2, 51.1) mL, the ratio of the height to the width was 0.91 (0.77, 1.07), the membranous urethral length (MUL) was 15 (11, 16) mm, and the IPPL was 2 (0, 6) mm. The prostatic apex A-D subtypes were 67 cases (33.2%), 80 cases (39.6%), 24 cases (11.9%) and 31 cases (15.3%), respectively. The training set and validation set were 141 cases and 61 cases, respectively. The operations of all the patients were successfully completed, and the urinary continence rate was 59.4% (120/202) in the 3 months follow-up. The results of multivariate analysis of the training set showed that the MUL ( < 0.001), IPPL (=0.017) and clinical stage (=0.022) were independent risk factors for urinary incontinence in the early postoperative period (3 months). The nomogram and clinical decision curve were made according to the results of multivariate analysis. The AUC value of the training set was 0.885 (0.826, 0.944), and the AUC value of the validation set was 0.854 (0.757, 0.950). In the verification set, the Hosmer-Lemeshow goodness-of-fit test was performed on the model, and the Chi-square value was 5.426 (=0.711).

CONCLUSION

Preoperative MUL, IPPL, and clinical stage are indepen-dent risk factors for incontinence after LRP. The nomogram developed based on the relevant parameters of MRI glands can effectively predict the recovery of early urinary continence after LRP. The results of this study require further large-scale clinical research to confirm.

摘要

目的

基于前列腺相关MRI参数构建腹腔镜前列腺癌根治术(LRP)后尿失禁的预测模型。

方法

本研究纳入202例患者。所有患者均经前列腺穿刺活检确诊为前列腺癌,并在北京大学第三医院接受LRP手术。所有患者术前MRI检查均在前列腺穿刺活检前1周内完成。前列腺相关参数包括前列腺长度、宽度、高度、前列腺体积、膀胱内前列腺突出长度(IPPL)、前列腺尖部形态等。术后第1个月起,每月随访尿失禁恢复情况,以全天无需使用尿垫为尿失禁恢复标准。采用Logistic多因素回归分析影响术后早期尿失禁恢复的因素。将危险因素纳入各模型绘制受试者工作特征(ROC)曲线预测术后尿失禁恢复情况,采用DeLong检验比较曲线下面积(AUC)差异,采用决策曲线分析(DCA)评估模型的临床净效益。

结果

202例患者平均年龄69.0(64.0,75.5)岁,穿刺前平均前列腺特异抗原(PSA)为12.12(7.36,20.06)μg/L,Gleason评分<7分和≥7分分别为73例(36.2%)和129例(63.9%),临床分期T1/T2期100例(49.5%),T3期102例(50.5%)。术前MRI测量前列腺体积为35.4(26.2,51.1)mL,高宽比为0.91(0.77,1.07),膜部尿道长度(MUL)为15(11,16)mm,IPPL为2(0,6)mm。前列腺尖部A-D亚型分别为67例(33.2%)、80例(39.6%)、24例(11.9%)和31例(15.3%)。训练集和验证集分别为141例和61例。所有患者手术均顺利完成,随访3个月时尿失禁率为59.4%(120/202)。训练集多因素分析结果显示,MUL(<0.001)、IPPL(=0.017)和临床分期(=0.022)是术后早期(3个月)尿失禁的独立危险因素。根据多因素分析结果绘制列线图和临床决策曲线。训练集AUC值为0.885(0.826,0.944),验证集AUC值为0.854(0.757,0.950)。在验证集中对模型进行Hosmer-Lemeshow拟合优度检验,卡方值为5.426(P=0.711)。

结论

术前MUL、IPPL和临床分期是LRP术后尿失禁的独立危险因素。基于MRI腺体相关参数构建的列线图可有效预测LRP术后早期尿失禁恢复情况。本研究结果尚需进一步大规模临床研究证实。