A 46-year-old gentleman presented to our hospital with a short story of abdominal pain and distension. On examination, gross ascites was noted and confirmed on subsequent imaging with no other notable features. CT scan after ascitic drainage showed a cystic mass extending from the lower pole of the spleen to the left iliac fossa in keeping with an intraperitoneal cyst. At laparatomy, a cystic lymphangioma was resected. Lymphangiomas are rare benign tumours and are reported to occur preferentially in the neck of axilla in children. Abdominal lymphangiomas are extremely rare particularly in adults but important to recognise due to a potential for serious consequences.

Objectives: Aim of my study is to determine the diagnostic accuracy of MRI in characterization of indeterminate ovarian masses on Doppler ultrasound (US) of pelvis while keeping histopathology as gold standard. Study Design: Cross sectional (validation) study. Setting: Radiology Department of Allied Hospital Faisalabad. Period: From January 2015 to December 2016. Material and Methods: Approval was taken from institutional ethical committee, a total of 91 patients were enrolled in this study. All the patients found to have indeterminate ovarian mass on sonography and Doppler US were examined with MR imaging performed on a 1.5-T Philips MR imaging unit in the radiology department Allied Hospital Faisalabad. The interval between Doppler US and MRI pelvis was about 7 to 10 days. Histopathology was taken as gold standard for final diagnosis and in determining the diagnostic accuracy of MRI. Results: All women having a mean age of 42 years (range, 15–85 years) who found to have indeterminate ovarian masses on Doppler US were included in the study. There were 71.4% benign and 28.6% malignant cases found on MRI while on histopathology 77% masses were benign and 23% malignant. The sensitivity and specificity of MRI in determining adnexal masses in our study is 100% & 93.86% Conclusion: MRI is ideal imaging modality for characterization of indeterminate ovarian masses. Magnetic resonance imaging is found to be quiet helpful in characterization of ovarian masses where sonography and Doppler US are not helpful.

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