Urology Service, Department of Surgery, Memorial Sloan-Kettering Cancer Center, New York, NY 10065, USA.
Eur Urol. 2011 Aug;60(2):195-201. doi: 10.1016/j.eururo.2011.01.016. Epub 2011 Jan 18.
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.
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.
Patients received open or laparoscopic (conventional and robot-assisted) RP and standard LND in our center.
Assessments were obtained using preoperative PSA, biopsy Gleason score, and clinical stage.
The median number of nodes removed was 11, with ∼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.
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.
我们目前的淋巴结受累(LNI)列线图是使用接受局限性和标准淋巴结清扫术(LND)的患者创建的。随着时间的推移,技术的改进可能会影响 LND 的诊断效果。
我们的目的是验证现有的 LNI 列线图,或者开发一个新的列线图,其中包含更新的预测系数,以反映根治性前列腺切除术(RP)期间当前的标准 LND 模板。我们假设现有的列线图在当代标准 LND 的系列中具有良好的判别能力,但校准效果不佳。
设计、地点和参与者:对 4176 例连续的原发性 RP 患者进行了回顾性分析,包括开放手术(2000 年至 2008 年的 3097 例)和腹腔镜手术(2005 年至 2008 年的 1079 例)。排除 127 例(3%)局限性 LND、10 例(0.2%)预处理前列腺特异性抗原(PSA)>50ng/ml 和 318 例(8%)数据不完整的患者后,最终队列共 3721 例。使用受试者工作特征分析、校准图和决策曲线分析评估列线图。
患者在我们中心接受开放或腹腔镜(传统和机器人辅助)RP 和标准 LND。
使用术前 PSA、活检 Gleason 评分和临床分期进行评估。
中位数切除的淋巴结数为 11 个,约 60%的患者至少切除了 10 个淋巴结(n=2224)。总体而言,5.2%的患者(n=194)有阳性淋巴结。新列线图具有非常高的判别准确性(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,新列线图具有最高的临床净收益。
在专门接受 RP 和标准 LND 治疗的前列腺癌当代患者队列中,新列线图在预测淋巴结侵犯方面显示出了更好的校准效果。该列线图将作为我们机构患者咨询和研究开发的首选预测模型。