C C Yuan1, P H Wang, C R Lai, M S Yen, C Y Chen, C M Juang. 1. Department of Obstetrics and Gynecology, Veterans General Hospital, School of Medicine, National Yang-Ming University, Taipei, Taiwan.
Abstract
OBJECTIVE: To establish a different category system based on grouping of the risk factors in patients with cervical smear. METHODS: Univariate and multivariate analyses of factors associated with survival time were performed in 443 patients with stage Ib-IIa squamous cell carcinoma (SCC) from 1985 to 1989. RESULTS: Univariate analysis showed that parametrial extension, bulky tumor size (> or = 4 cm), uterine body involvement, poor differentiation and pelvic lymph node (LN) metastasis were prognostically significant. However, by multiple regression method, only LN metastasis, deep stromal invasion (DSI), and poor differentiation (PD) were significantly related to the patient's survival time with risk ratios of 2.78, 2.61 and 1.52, respectively. A prognosis-predicting system was established on the basis of these simplified factors: groups of high, intermediate, low and very low-risks, obtained survival rates of 93-96%, 77%, 51% and 25-37%, respectively. CONCLUSIONS: Using this simple model, cervical carcinomas can be classified prognostically for predicting 5-year-survival rates, and for risk-guided therapy in the future.
OBJECTIVE: To establish a different category system based on grouping of the risk factors in patients with cervical smear. METHODS: Univariate and multivariate analyses of factors associated with survival time were performed in 443 patients with stage Ib-IIa squamous cell carcinoma (SCC) from 1985 to 1989. RESULTS: Univariate analysis showed that parametrial extension, bulky tumor size (> or = 4 cm), uterine body involvement, poor differentiation and pelvic lymph node (LN) metastasis were prognostically significant. However, by multiple regression method, only LN metastasis, deep stromal invasion (DSI), and poor differentiation (PD) were significantly related to the patient's survival time with risk ratios of 2.78, 2.61 and 1.52, respectively. A prognosis-predicting system was established on the basis of these simplified factors: groups of high, intermediate, low and very low-risks, obtained survival rates of 93-96%, 77%, 51% and 25-37%, respectively. CONCLUSIONS: Using this simple model, cervical carcinomas can be classified prognostically for predicting 5-year-survival rates, and for risk-guided therapy in the future.