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We studied to find out the possibility that scoring system obtained by clinicopathological risk factors including age, parity, clinical stage, CEA level, TA-4 level, cell type, histologic grade and tumor size in patients with cervical cancer can be used as prediction scording system for the high risk group of patients with cervical cancer. We studied 9 patients with clinical stage Ia, 187 patients with clinical stage Ib and 63 patients with stage IIa who visited the Clinic of Cervical Neoplasia at Department of Obstetrics and Gynecology, Catholic University Medical College from Jan. 1985 to Dec. 1990, for whom radical hysterectomy were performed. Total 259 cases were divided into two groups. The group I was 64 cases which disease free interval was below 2.5 years, the group II was 195 cases shich disease free interval was above 2.5 years. Using the computerized "Stepwise Discriminant Analysis", all factors were investigated for measuring degree of discriminating two group. The result were as follows. 1. In comparison of clinical factors, patient age, tumor size and cea LEVEL were significantly higher in group I than group II(P<0.01), but parity and TA-4 level were not significantly different between the two groups(p>0.01). 2. Comparing the two groups according to the clinical stage, there was a significant positive correlation between incidence of and the degree of clinical stage(p<0.01), but there was a significant negative correlation between incidence of group II and the degree of clinical stage (p<0.01). 3. The incidence of squamous cell types was significantly higher than adenomatous type in group II(p<0.01), but the incidence of squamous cell type was significantly lower than adenomatous type in group I(p<0.01). 4. There was not a significant correlation between histologic grade and incidence of two groups (p>0.01). 5. We composed new prediction scoring system for the risk of cervical cancer used with clinicohistological factors such as tumor size, cell type, clinical stage, CEA level, age, that were selected by "Stepwise Discriminant Analysis"and then total investigated patients were divided into two groups. (low risk group with scores ranging from 0 to 6, high risk group above 7). 6. Predictive value of high risk and low risk in patients with cervical cancer employing new prediction scoring system were 82.9%(39/47), 35.8%(76/212) respectively. From these results, it might be concluded that pretreatment evaluation of high risk patients with cervical cancer by means of new prediction scoring system up is not only useful in proper treatment and follow up of patients with cervical cancer but also contbibutory to the reduction of mortality from cervical cancer by predicting the high risk patients with cervical cancer.
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