Abstract
Background: To assess the predictive value of various transvaginal sonography findings in characterizing endometriosis. Methods: This prospective investigation was conducted at Royan Institute, Tehran, Iran, from April 2010 till March 2013. All infertile women presenting with clinical symptoms of endometriosis, who were booked for laparoscopy, underwent a preoperative trasvaginal sonography by an expert radiologist. Endometriosis was diagnosed on TVS according to detecting one or more of following findings: echogenic points on serosal surface of the ovaries, ovarian endometrioma and signs of pelvic adhesion (blurred ovary margins, fixation of ovaries, deviation of ovaries or decreased distance between them). A logistic regression analysis was performed to identify prognostic factors in detection of presence of endometriosis. Each parameter was entered sequentially into the model based on hosmer-lemeshow algorithm. Values were calculated by Stata12 software regarding laparoscopy as gold standard. Results: Totally, 101women were evaluated during the study. Endometriosis was present at laparoscopy in 58 patients. Mean age and the duration of infertility were calculated 30.78 4.79 and 4.2 2.91 years respectively. Frequencies of each sonographic finding were as follow: echogenic points (%31.68), ovarian endometrioma (%30.69), blurred ovary margin (%7.92), fixation of ovaries (%15.9), deviation of ovaries (%21.8), and decreased distance between ovaries (%8.9). As derived by logistic regression analysis, detection of ovarian endometrioma, fixation of ovaries and ovarian deviation strongly predicts endometriosis (odds ratio of 42.27, 46.89 and 14.78 respectively). Conclusions: Our study demonstrated that TVS has a reliable predictive value in diagnosis of endometriosis. Ovarian endometrioma, deviation of ovaries and ovarian fixation can be used as important criteria for radiologists and gynecologists.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.