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BIBTEX RIS

External validation of nomogram to predict inguinal lymph node metastasis in patients with penile cancer and clinically negative lymph nodes

2019; Sociedade Brasileira de Urologia; Volume: 45; Issue: 4 Linguagem: Inglês

10.1590/s1677-5538.ibju.2018.0756

ISSN

1677-6119

Autores

Carlos Vaz de Melo Maciel, Roberto Días Machado, Mariana Andozia Morini, Pablo Aloisio Lima Mattos, Ricardo dos Reis, Rodolfo Borges dos Reis, Gustavo Cardoso Guimarães, Isabela Werneck da Cunha, Eliney Ferreira Faria,

Tópico(s)

Urological Disorders and Treatments

Resumo

Introduction Penile cancer (PC) occurs less frequently in Europe and in the United States than in South America and parts of Africa. Lymph node (LN) involvement is the most important prognostic factor, and inguinal LN (ILN) dissection can be curative; however, ILN dissection has high morbidity. A nomogram was previously developed based on clinicopathological features of PC to predict ILN metastases. Our objective was to conduct an external validation of the previously developed nomogram based on our population. Materials and methods We included men with cN0 ILNs who underwent ILN dissection for penile carcinoma between 2000 and 2014. We performed external validation of the nomogram considering three different external validation methods: k-fold, leave-one-out, and bootstrap. We also analyzed prognostic variables. Performance was quantified in terms of calibration and discrimination (receiver operator characteristic curve). A logistic regression model for positive ILNs was developed based on clinicopathological features of PC. Results We analyzed 65 men who underwent ILN dissection (cN0). The mean age was 56.8 years. Of 65 men, 24 (36.9%) presented with positive LNs. A median 21 ILNs were removed. Considering the three different methods used, we concluded that the previously developed nomogram was not suitable for our sample. Conclusions In our study, the previously developed nomogram that was applied to our population had low accuracy and low precision for correctly identifying patients with PC who have positive ILNs.

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