Ovarian tumors associated with pregnancy: a 20-year experience in a teaching hospital
- PMID: 20049468
- DOI: 10.1007/s00404-009-1346-z
Ovarian tumors associated with pregnancy: a 20-year experience in a teaching hospital
Abstract
Objective: Pregnancy associated with ovarian tumors was reviewed over a 20-year period to determine the maternal and fetal outcome in patients undergoing surgery during pregnancy.
Method: A retrospective study of 94 cases of ovarian tumors treated surgically during pregnancy was investigated for incidence, clinico-pathological features and outcome in a teaching hospital between June 1987 and May 2007.
Results: The overall incidence of ovarian tumor in pregnant women was 1 in 505 (0.2%) deliveries. Diagnosis of 69.2% tumors resulted in the first and second trimesters of pregnancy. Twenty-two (23.4%) patients presented as an emergency at different periods of gestation and 16 (17.1%) tumors were incidentally discovered at cesarean section which underlines the significance of examining the ovaries routinely at cesarean section. Benign teratoma (39.4%) and serous cystadenoma (24.5%) were the most common types of ovarian tumors found in the study. The incidence of malignant tumors was 5.3%. Tumors with low malignant potential comprised 40% of malignancy. The miscarriage rate after surgery was 44.4% in the first trimester compared with 16.6% in the second trimester. The preterm birth rate was 4.3% in the series.
Conclusion: The value of clinical and ultrasound examinations in early pregnancy as a diagnostic aid is highlighted. Whenever an ovarian tumor is detected in pregnancy, malignancy should always be suspected. Treatment of an ovarian tumor in pregnancy should be tailored according to the age, parity, clinical presentation, gestational age and histopathology of the tumor. Removal of persisting or enlarging ovarian masses as soon as possible is important to obtain a final histologic diagnosis and rule out malignancy. Early diagnosis and appropriate treatment of malignant tumors offers the best prognosis for the patient.
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