Abstract
To determine the predictors of pelvic lymph-node metastasis in cases of squamous cell carcinoma (SCC) of penis.
Data was retrospectively collected from 267 cases of SCC penis that presented at our institute between 2009 and 2019. Univariate and multivariate logistic regression models were used to identify independent significant factors. Receiver Operating Characteristic (ROC) curve was used to determine the cut-off of Lymph-Node Ratio (LNR) and discriminative ability of new model. Survival analysis was done using Kaplan Meier Curve.
Pelvic Lymph-Node Metastasis (PLNM) was pathologically detected in 56 groins (29.2%). A cut-off of 0.25 was calculated for LNR based on ROC. LNR >0.25 (p = 0.003), ENE (p = 0.037), and LVI (p = 0.043) were found significant on multivariate logistic regression. 71.5% showed PLNM in groins with positive LN (PLN) 0.25 whereas no PLNM was seen in groins with PLN >2 but LNR 0.25, LVI and, ENE are independent predictors of PLNM. The discriminative ability of LNR was better than PLN. PLND could be avoided if no risk factors are present.
•LNR >0.25, ENE, and LVI were significant predictors of Pelvic Lymph-Node Metastasis (PLNM) in our study.•In patients with PLN 0.25, 71.5% showed PLNM whereas no PLNM was seen if PLN>2 and LNR.•The probability of finding PLNM increased from 0% to 83% for 0 to 3 risk factors respectively.•The 5 year survival according to risk score was 81%, 43%, 16% and, 13% for 0, 1, 2 and, 3 risk score respectively.