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Development and Internal Validation of a Novel Model to Identify the Candidates for Extended Pelvic Lymph Node Dissection in Prostate Cancer

列线图 医学 前列腺癌 前列腺切除术 逻辑回归 接收机工作特性 淋巴结 阶段(地层学) 解剖(医学) 活检 切断 泌尿科 前列腺特异性抗原 放射科 癌症 肿瘤科 内科学 古生物学 物理 生物 量子力学
作者
Giorgio Gandaglia,Nicola Fossati,Emanuele Zaffuto,Marco Bandini,Paolo Dell’Oglio,Carlo Andrea Bravi,Giuseppe Fallara,Francesco Pellegrino,Luigi Nocera,Pierre I. Karakiewicz,Zhe Tian,Massimo Freschi,Rodolfo Montironi,Francesco Montorsi,Alberto Briganti
出处
期刊:European Urology [Elsevier BV]
卷期号:72 (4): 632-640 被引量:203
标识
DOI:10.1016/j.eururo.2017.03.049
摘要

Preoperative assessment of the risk of lymph node invasion (LNI) is mandatory to identify prostate cancer (PCa) patients who should receive an extended pelvic lymph node dissection (ePLND). To update a nomogram predicting LNI in contemporary PCa patients with detailed biopsy reports. Overall, 681 patients with detailed biopsy information, evaluated by a high-volume uropathologist, treated with radical prostatectomy and ePLND between 2011 and 2016 were identified. A multivariable logistic regression model predicting LNI was fitted and represented the basis for a coefficient-based nomogram. The model was evaluated using the receiver operating characteristic-derived area under the curve (AUC), calibration plot, and decision-curve analyses (DCAs). The median number of nodes removed was 16. Overall, 79 (12%) patients had LNI. A multivariable model that included prostate-specific antigen, clinical stage, biopsy Gleason grade group, percentage of cores with highest-grade PCa, and percentage of cores with lower-grade disease represented the basis for the nomogram. After cross validation, the predictive accuracy of these predictors in our cohort was 90.8% and the DCA demonstrated improved risk prediction against threshold probabilities of LNI ≤20%. Using a cutoff of 7%, 471 (69%) ePLNDs would be spared and LNI would be missed in seven (1.5%) patients. As compared with the Briganti and Memorial Sloan Kettering Cancer Center nomograms, the novel model showed higher AUC (90.8% vs 89.5% vs 89.5%), better calibration characteristics, and a higher net benefit at DCA. An ePLND should be avoided in patients with detailed biopsy information and a risk of nodal involvement below 7%, in order to spare approximately 70% ePLNDs at the cost of missing only 1.5% LNIs. We developed a novel nomogram to predict lymph node invasion (LNI) in patients with clinically localized prostate cancer based on detailed biopsy reports. A lymph node dissection exclusively in men with a risk of LNI > 7% according to this model would significantly reduce the number of unnecessary pelvic nodal dissections with a risk of missing only 1.5% of patients with LNI.
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