Meigs syndrome presenting with axillary vein thrombosis and lymphadenopathy: a case report

INTRODUCTION: Meigs syndrome is a rare condition, occurring in less than 1% of ovarian tumors and has the characteristic features of a benign ovarian tumor, ascites and a pleural effusion. We present a case of Meigs syndrome in a young patient presenting initially with an axillary vein thrombosis and local lymphadenopathy. CASE PRESENTATION: A 28-year-old Caucasian woman presented with a short history of right arm swelling and shortness of breath as a result of an axillary vein thrombosis and pulmonary embolus. The initial assessment also demonstrated right axillary and subclavian lymphadenopathy, a pleural effusion, ascites and a large ovarian mass. Serum levels of the tumor markers human chorionic gonadotropin and alpha-fetoprotein were normal and the CA-125 level was only moderately elevated. The combination of thrombosis, lymphadenopathy and an ovarian mass raised the possibility of a disseminated malignancy potentially an epithelial ovarian cancer, a germ cell tumor or an ovarian sex cord-stromal tumor. Surgery, performed after a short period of anticoagulation, demonstrated a 13.5cm ovarian cellular fibroma of low malignant potential. Postoperatively the patient made an excellent recovery and the ascites, pleural effusion and lymphadenopathy all resolved promptly. CONCLUSIONS: In Meigs syndrome the classical findings of ascites, pleural effusion in combination with an ovarian mass can mimic disseminated malignancy but resolve spontaneously after surgery. In this current case, the patient also had lymphadenopathy and venous thrombosis, two other findings that are frequently associated with malignancy and was acutely unwell at presentation. It is unclear if the thrombosis and lymphadenopathy were simply coincidental or shared the same etiology as the ascites and pleural effusion. This case indicates that Meigs syndrome may on occasion present with additional findings that can further mimic disseminated malignancy and may lead to diagnostic uncertainty.