PURPOSE:We aimed to test accuracy and generalizability of a recently updated nomogram to assess the probability of lymph node invasion (LNI), when applied to a different European cohort of men undergoing radical prostatectomy (RP) with extended pelvic lymph node dissection (ePLND).
MATERIALS AND METHODS:The study cohort consisted of 1,282 men with clinically localized PCa who underwent RP and ePLND, including removal of obturator, external iliac, and hypogastric lymph nodes, between 01/2007 and 08/2011. Descriptive measurements included preoperative clinical and biopsy variables, such as prostate-specific antigen (PSA), clinical stage (CS), primary and secondary biopsy Gleason pattern, and percentage of positive cores. We used the area under curve (AUC) of the receiver operator characteristic analysis to quantify accuracy of the model to predict LNI. The extent of over- or under-estimation was explored graphically within loess calibration plots.
RESULTS:The median number of removed lymph nodes was 15 with an interquartile range of 12-20. Twelve percent (n = 155) of men had LNI. Preoperative clinical and biopsy characteristics differed significantly (all P ≤ 0.002) between men with LNI and those without. External validation of the previously reported updated LNI nomogram showed very good accuracy (AUC: 0.829). A nomogram-derived cut-off of 4% could lead to a reduction of 48% of lymph node dissection, while missing 10% of patients with LNI.
CONCLUSIONS: We report the external validation of an updated LNI nomogram, demonstrating accuracy and applicability in a different European cohort. A nomogram-derived cut-off of 4% confirmed good performance characteristics within a different external validation cohort.
Written by:
Hansen J, Rink M, Bianchi M, Kluth LA, Tian Z, Ahyai SA, Shariat SF, Briganti A, Steuber T, Fisch M, Graefen M, Karakiewicz PI, Chun FK. Are you the author?
Martini Clinic, Prostate Cancer Centre at University Medical Centre Hamburg-Eppendorf, Hamburg, Germany; Cancer Prognostics and Health Outcomes Unit, University of Montreal Health Center, Montreal, Quebec, Canada.
Reference: Prostate. 2012 Jul 20. Epub ahead of print.
doi: 10.1002/pros.22559
PubMed Abstract
PMID: 22821742
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