Background: Ovarian pregnancy (OP) is a rare ectopic pregnancy, in which it is very difficult to achieve preoperative diagnosis. Ovarian blood supply in OP increases which will lead to intra-abdominal bleeding, hazarding women's lives. Surgical exploration should be conducted once cases of OP are suspected. Objective: To investigate clinical characteristics, diagnosis, and therapy of OP. Materials and Methods: A retrospective study was conducted in 95 patients with OP admitted to the present hospital from January 2005 to June 2014. Results: OP accounted for 1.79% of ectopic pregnancy over the same period, of which 68.4% had a history of artificial abortion, 6.3% was treated with intrauterine contraceptive device (IUD), 87.4% had abdominal pain, 84.2% had a history of menopause, and 51.6% had vaginal bleeding. All patients had no preoperative diagnosis and underwent laparoscopic wedge resection of ovary or lesionectomy and were all were cured. Conclusion: Since the cause of OP is still unknown and it has no typical clinical manifestations, the present authors adopt blood β-hCG combined with B-ultrasound to improve the preoperative diagnosis. They prefer laparoscopic wedge resection of ovary or lesionectomy, which induce higher rate of intrauterine pregnancy and lower rates of ectopic pregnancy and infertility in re-pregnancy after surgery.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.