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

被引:179
作者
Gandaglia, Giorgio [1 ,2 ]
Fossati, Nicola [1 ,2 ]
Zaffuto, Emanuele [1 ,2 ,3 ]
Bandini, Marco [1 ,2 ]
Dell'Oglio, Paolo [1 ,2 ]
Bravi, Carlo Andrea [1 ,2 ]
Fallara, Giuseppe [1 ,2 ]
Pellegrino, Francesco [1 ,2 ]
Nocera, Luigi [1 ,2 ]
Karakiewicz, Pierre I. [3 ]
Tian, Zhe [3 ]
Freschi, Massimo [4 ]
Montironi, Rodolfo [5 ]
Montorsi, Francesco [1 ,2 ]
Briganti, Alberto [1 ,2 ]
机构
[1] IRCCS Osped San Raffaele, URI, Div Oncol, Unit Urol, Milan, Italy
[2] Univ Vita Salute San Raffaele, Milan, Italy
[3] Univ Montreal, Ctr Hlth, Canc Prognost & Hlth Outcomes Unit, Montreal, PQ, Canada
[4] IRCCS Osped San Raffaele, Unita Operat Anat Patol, Milan, Italy
[5] Polytech Univ Marche Reg, Sch Med, United Hosp, Sect Pathol Anat, Ancona, Italy
关键词
Prostate cancer; Radical prostatectomy; Lymph node invasion; Pelvic lymph node dissection; Nomogram; ASSISTED RADICAL PROSTATECTOMY; OUTCOMES; RISK; COMPLICATIONS; METAANALYSIS; PERCENTAGE; PREDICTION; GUIDELINES; SURVIVAL; BIOPSIES;
D O I
10.1016/j.eururo.2017.03.049
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
Background: 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). Objective: To update a nomogram predicting LNI in contemporary PCa patients with detailed biopsy reports. Design, setting, and participants: 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. Outcome measurements and statistical analysis: 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). Results and limitations: 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. Conclusions: 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. Patient summary: 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. (C) 2017 European Association of Urology. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:632 / 640
页数:9
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