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Korean Journal of Obstetrics & Gynecology 1999;42(11):2576-2583.
Published online January 1, 2001.
Clinical Analysis on the Outcome from the Treatment of Locally Invasive Cervical Cancer-Analysis of 195(Ia-IIb) Cases.
Soo Hyeon Ahn, Chang Ho Cho, Eun Jeoung Kang, Ki Tae Kim, Hyun Chan Kim
The purposes of this clinical study were 1) to assess 5-year survival rates in 195 patients with locally invasive cervical cancer(stage Ia-IIb) treated by surgery, neoadjuvant chemotherapy+surgery and postoperative radiation in selected cases, 2) to evaluate the prognostic factors affecting the survival rate, and 3) to get helpful information for the better treatment. METHODS: A retrospective analysis was conducted of 195 patients. They were diagnosed and operated on during the period of Jan. 1988 - Dec. 1993 in Dept. of OB/Gyn, Pusan Paik Hospital, Inje Medical School. The 5-year survival rates were estimated using the Kaplan-Meier method, and prognostic factors were assessed using Wilcoxon test. RESULTS: The 5-year survival rates for FIGO stages Ia, Ib, IIa, and IIb were 100, 86.1, 76.9, and 81.1%, respectively. Factors that affect the 5-year survival rates were clinical stage(P=0.0001), cell type(small cell vs other, P=0.0001), depth of invasion(< or = 5 mm vs >5 mm, P=0.0013), tumor size(< or = 3 cm vs >3cm, P=0.0035), and lymph node metastasis(0 vs 1 vs more than 2, P=0.0001). There was no difference in 5-year survival rates between without neoadjuvant chemotherapy group and with neoadjuvant chemotherapy group which had poor prognostic factors. The predicted recurrence rate of the postoperative radiation group showed a lower 5-year survival rate than the no postoperative radiation group(P=0.0001). CONCLUSIONS: We conclude that the factors affecting the prognosis were FIGO stage, cell type, depth of invasion, tumor size, and lymph node metastasis, and speculated that the survival rates could be improved by using neoadjuvant chemotherapy for more advanced locally invasive cases properly.
Key Words: Cervical cancer, Prognostic factor

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