BACKGROUND: Pancreatic endocrine tumors (PETs) are rare (1 per 100,000 population) and are thought to be functioning in up to 85% of cases and are generally less than 2 cm in size. By previous reports, 15% to 50% of PETs are nonfunctioning and are discovered either incidentally or by symptom evaluation from a mass effect. EUS-guided FNA (EUS-FNA) has been shown to accurately diagnose PETs and to localize tumors for surgical resection. OBJECTIVE: To describe a single-center experience of EUS-FNA diagnosis of PETs and its impact on surgical management. DESIGN: Retrospective cohort study. SETTING: University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania. PATIENTS: Patients with PETs diagnosed via EUS-FNA over a 4-year period were identified through the authors' EUS database. Clinical history, laboratory values, diagnostic studies, EUS findings, cytology, pathology, operative records, and surgical pathology records were reviewed. MAIN OUTCOME MEASUREMENT: Impact of definitive preoperative diagnosis of PET on surgical management. RESULTS: Forty-one patients were diagnosed by EUS-FNA with PET. Thirty-five PETs were nonfunctioning PET; 6 were functioning PET. The mean tumor sizes of functioning and nonfunctioning PETs were 19 mm and 28 mm, respectively. The majority of tumors were located in the pancreatic head. Surgery was performed in 78% of patients; of these, 34% were resected laparoscopipcally. LIMITATIONS: Retrospective design and selection bias. CONCLUSIONS: In this study, nonfunctioning PETs were more commonly diagnosed compared with functioning PETs. In addition, the PETs were smaller than previously reported, likely because of increasing detection of incidental lesions through widespread use of abdominal imaging.
BACKGROUND:Pancreatic endocrine tumors (PETs) are rare (1 per 100,000 population) and are thought to be functioning in up to 85% of cases and are generally less than 2 cm in size. By previous reports, 15% to 50% of PETs are nonfunctioning and are discovered either incidentally or by symptom evaluation from a mass effect. EUS-guided FNA (EUS-FNA) has been shown to accurately diagnose PETs and to localize tumors for surgical resection. OBJECTIVE: To describe a single-center experience of EUS-FNA diagnosis of PETs and its impact on surgical management. DESIGN: Retrospective cohort study. SETTING: University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania. PATIENTS: Patients with PETs diagnosed via EUS-FNA over a 4-year period were identified through the authors' EUS database. Clinical history, laboratory values, diagnostic studies, EUS findings, cytology, pathology, operative records, and surgical pathology records were reviewed. MAIN OUTCOME MEASUREMENT: Impact of definitive preoperative diagnosis of PET on surgical management. RESULTS: Forty-one patients were diagnosed by EUS-FNA with PET. Thirty-five PETs were nonfunctioning PET; 6 were functioning PET. The mean tumor sizes of functioning and nonfunctioning PETs were 19 mm and 28 mm, respectively. The majority of tumors were located in the pancreatic head. Surgery was performed in 78% of patients; of these, 34% were resected laparoscopipcally. LIMITATIONS: Retrospective design and selection bias. CONCLUSIONS: In this study, nonfunctioning PETs were more commonly diagnosed compared with functioning PETs. In addition, the PETs were smaller than previously reported, likely because of increasing detection of incidental lesions through widespread use of abdominal imaging.
Authors: Satomi Kawamoto; Pamela T Johnson; Chanjuan Shi; Aatur D Singhi; Ralph H Hruban; Christopher L Wolfgang; Barish H Edil; Elliot K Fishman Journal: AJR Am J Roentgenol Date: 2013-03 Impact factor: 3.959
Authors: Muslim Atiq; Manoop S Bhutani; Mehmet Bektas; Jeffrey E Lee; Yun Gong; Eric P Tamm; Chintan P Shah; William A Ross; James Yao; Gottumukkala S Raju; Xuemei Wang; Jeffrey H Lee Journal: Dig Dis Sci Date: 2011-10-01 Impact factor: 3.199
Authors: Fahad Alsohaibani; David Bigam; Norman Kneteman; A M James Shapiro; Gurpal Singh Sandha Journal: Can J Gastroenterol Date: 2008-10 Impact factor: 3.522