Open Access
CC BY-NC-ND 4.0 · Endosc Int Open 2018; 06(09): E1109-E1111
DOI: 10.1055/a-0658-1389
Case report
Owner and Copyright © Georg Thieme Verlag KG 2018

Large adrenal cyst masquerading as a pancreatic cystic tumor: a rare diagnosis based on endoscopic ultrasound

Evangelos Voudoukis
1   Department of Gastroenterology, Venizeleion Hospital, Heraklion-Crete
,
Magdalini Velegraki
1   Department of Gastroenterology, Venizeleion Hospital, Heraklion-Crete
,
Iyad Khamaysi
2   Department of Gastroenterology, Rambam Medical Center, Haifa-Israel
,
Ioannis Karoumpalis
3   Department of Gastroenterology, General Hospital “G. Gennimatas,” Athens
,
Georgios Kazamias
4   Cytopathology Department, Venizeleion Hospital, Heraklion-Crete
,
Maria Fragaki
1   Department of Gastroenterology, Venizeleion Hospital, Heraklion-Crete
,
Emmanouil Mastorakis
4   Cytopathology Department, Venizeleion Hospital, Heraklion-Crete
,
Gregorios Paspatis
1   Department of Gastroenterology, Venizeleion Hospital, Heraklion-Crete
› Author Affiliations
Further Information

Publication History

submitted 05 May 2018

accepted 14 May 2018

Publication Date:
11 September 2018 (online)

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Abstract

Adrenal cystic lesions constitute a rare finding and usually are diagnosed incidentally as retroperitoneal cysts during imaging studies. A major issue, especially for the large-sized ones, is their preoperative diagnosis and management, as imaging modalities often fail to detect their exact origin prior to surgery. We report a case of a big adrenal cyst that was mistakenly diagnosed and followed up as pancreatic cystic tail tumor. Our thorough workup, which included endoscopic ultrasound (EUS), managed to delineate an adrenal gland-originated cyst and altered further management of the patient. According to our knowledge, this is the first report in literature in which EUS proved its superiority over other imaging studies in clarifying the origin of an ambiguous big retroperitoneal cyst. We believe that for cases of large retroperitoneal cystic lesions, EUS consists the optimal diagnostic and sampling tool.