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prospective study was conducted and performed on 100 women with pelvic pain due to accidently discovered adnexal mass
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After institutional ethical committee approval () and informed consent from the patients, this prospective study was conducted and performed on 100 women with pelvic pain due to accidently discovered adnexal mass
All women were subjected to the following:
One hundred (100) patients' pelvises were examined by transvaginal ultrasound in lithotomy position using endo-vaginal transducer and/or transabdominal ultrasound in the supine position in transverse and longitudinal plane and evaluated by B-mode ultrasonography, color, and spectral Doppler. Two expert examiners with more than 10 years' experience in gynecological ultrasound, performed all examinations and data was stored between one and four representative images on the database.
After the examinations, a combination of morphological features, color and spectral Doppler features, and then the lesion was evaluated according to GI-RADS classification, and the suggested management protocol based on the risk of malignancy.
Finally, the referral to surgery and decision-making were consulted in accordance with a multidisciplinary team meeting (MDT). A definitive histopathological diagnosis was obtained as a gold standard test for all patients with GI-RADS 4 and 5 and some cases of GI-RADS 3 patients after laparoscopic or surgical removal of the masses.
A morphologic evaluation was performed according to the International Ovarian Tumor Analysis Group (IOTA) recommendations for the following parameters: wall thickness, septation, papillary projections, presence and echogenicity of solid areas, presence of mixed component, cystic component, and presence of ascites and intra-abdominal metastases (peritoneal deposits, liver metastasis, and malignant abdominal lymphadenopathy) was also recorded. Pattern recognition analysis was also used for ovarian masses.
Statistical analysis:
The collected data was coded, tabulated, and statistically analyzed using IBM SPSS statistics (Statistical Package for Social Sciences) software version 22.0, IBM Corp., Chicago, USA, 2013 and Microsoft Office Excel 2007.
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