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Extent of pelvic lymph node dissection and the impact of standard template dissection on nomogram prediction of lymph node involvement.

机译:盆腔淋巴结清扫的程度和标准模板清扫术对淋巴结受累的诺模图预测的影响。

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BACKGROUND: Our current lymph node involvement (LNI) nomogram was created using patients receiving both limited and standard lymph node dissection (LND). Over time, refinements in technique could affect the diagnostic yield from LND. OBJECTIVE: Our aim was to validate our existing LNI nomogram or develop a new nomogram with updated prediction coefficients that reflect the current standard LND template during radical prostatectomy (RP). We hypothesized that the existing nomogram would demonstrate good discrimination but poor calibration in a contemporary series of standard LND. DESIGN, SETTING, AND PARTICIPANTS: A retrospective analysis of 4176 consecutive primary RP patients was performed, including open procedures (3097 patients from 2000 to 2008) and laparoscopic procedures (1079 patients from 2005 to 2008). After excluding 127 patients (3%) with limited LND, 10 (0.2%) with pretreatment prostate-specific antigen (PSA) >50 ng/ml, and 318 (8%) with incomplete data, the final cohort totaled 3721 patients. The nomograms were evaluated using receiver operating characteristic analysis, calibration plots, and decision-curve analysis. INTERVENTIONS: Patients received open or laparoscopic (conventional and robot-assisted) RP and standard LND in our center. MEASUREMENTS: Assessments were obtained using preoperative PSA, biopsy Gleason score, and clinical stage. RESULTS AND LIMITATIONS: The median number of nodes removed was 11, with approximately 60% of patients having at least 10 nodes removed (n=2224). Overall, 5.2% of patients (n=194) had positive lymph nodes. The new nomogram had very high discriminative accuracy (area under the curve: 0.862). The decision-curve analysis showed that the new nomogram had the highest clinical net benefit for all reasonable threshold probabilities. CONCLUSIONS: The new nomogram shows improved calibration when predicting lymph node invasion in a contemporary cohort of patients with prostate cancer exclusively treated with RP and standard LND. This nomogram will be used as the preferred predictive model for counseling patients and developing studies at our institution.
机译:背景:我们目前的淋巴结受累(LNI)列线图是使用接受有限和标准淋巴结清扫(LND)的患者创建的。随着时间的流逝,技术的改进可能会影响LND的诊断率。目的:我们的目的是验证现有的LNI诺模图或开发具有更新的预测系数的新诺模图,以反映当前根治性前列腺切除术(RP)期间的标准LND模板。我们假设现有的列线图在现代标准LND系列中将表现出良好的辨别力,但校准效果较差。设计,地点和参与者:回顾性分析了4176例连续的原发性RP患者,包括开放手术(2000年至2008年为3097例)和腹腔镜手术(2005年至2008年为1079例)。排除127例LND受限的患者(3%),10例(0.2%)预处理前列腺特异性抗原(PSA)> 50 ng / ml的患者和318例(8%)数据不完全的患者后,最终队列总计3721名患者。使用接收器工作特性分析,校准图和决策曲线分析来评估列线图。干预措施:患者在我们中心接受了开放式或腹腔镜(常规和机器人辅助)RP和标准LND。测量:使用术前PSA,活检格里森评分和临床分期进行评估。结果与局限性:切除的淋巴结中位数为11个,大约60%的患者至少切除了10个淋巴结(n = 2224)。总体而言,有5.2%的患者(n = 194)的淋巴结阳性。新的列线图具有很高的判别精度(曲线下面积:0.862)。决策曲线分析表明,对于所有合理的阈值概率,新的列线图具有最高的临床净收益。结论:新的列线图在预测当代仅用RP和标准LND治疗的前列腺癌患者的淋巴结浸润时显示出更好的校准。该诺模图将用作在我们机构为患者提供咨询和开展研究的首选预测模型。

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