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Any discrepancies were resolved by jointly reviewing the slides. Follow-up and statistical analysis Patients were followed up according to a standard protocol. They were seen postoperatively at 2-month intervals during the first 2 years, at 3-month intervals in year 3, and at 6-month intervals thereafter. Follow-up consisted of physical examination with ultrasound and computerized tomography as indicated. Categorical variables were analyzed using contingency tests Fisher's exact test, Chi-square test. The continuous data were dichotomized according to the median of each factor.
Uni- and multivariate logistic regression analyses were performed to determine the predictors of ILNM. All statistical analyses were performed using SPSS software, version Results Patient characteristics and univariate analysis of ILNM [Table 1] summarizes clinicopathological characteristics and univariate analysis of variables associated with ILNM in patients. The median age of the group was 53 range: After inguinal lymph node dissection, 96 of the patients None of the 21 patients who did not undergo regional lymph node dissection had node metastasis at a follow-up of 2—8 years.
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These gefei were considered node negative. Hence, the ILNM rate of the cohort was Table 1: Clinicopathological characteristics and univariate analysis of variables associated with inguinal hdfei node metastases Click here to view After histopathological classification, we found The hefie node metastatic rate was The HR of Table 2: Multivariate analysis of variables associated with inguinal lymph node metastases Discussion PSCC spreads mainly through the lymphatic system to inguinal and pelvic lymph nodes. Criteria for selecting patients who are at significant risk for micrometastases and should undergo inguinal dynamic sentinel lymph node biopsy or lymphadenectomy is still controversial.
In this article, we retrospectively reviewed the records of consecutive patients with PSCC who were treated at our institution. The results revealed that common SCC predominated but special subtypes together comprised Univariate analysis demonstrated that the probability of ILNM is influenced by the histopathological subtype and the risk group of subtypes. Multivariate analyses indicated that the risk group of histopathological subtypes is a significant predictor for ILNM.