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Ga-68 DOTATOC PET, endoscopic ultrasonography, and multidetector CT in the diagnosis of duodenopancreatic neuroendocrine tumors: a single-centre retrospective study. | LitMetric

AI Article Synopsis

  • The study compared the effectiveness of endoscopic ultrasonography (EUS), multidetector CT (MDCT), and Ga-68 DOTATOC PET/CT in diagnosing neuroendocrine tumors (NETs) in patients suspected to have duodenopancreatic tumors.
  • Nineteen patients participated in the research, where EUS-FNA and/or surgery confirmed the presence of NETs, revealing that EUS had the highest accuracy in detecting both patients and lesions.
  • The findings suggest that while all three methods are useful, combining them may provide the best preoperative diagnosis for duodenopancreatic NETs.

Article Abstract

Purpose: In this report, we compared endoscopic ultrasonography (EUS), multidetector CT (MDCT), and Ga-68 DOTATOC PET/CT in patients with neuroendocrine tumors (NETs). We report our experience with use of these methods in patients suspected to have duodenopancreatic primitive NET.

Methods: Nineteen consecutive patients (mean age, 56; 21-80), who underwent both Ga-68 DOTATOC PET/CT and EUS between March 2007 and November 2008 were retrospectively included in the study (16 underwent MDCT). Suspicion of NET was confirmed by EUS-FNA and/or surgery. Operative characteristics of PET, EUS, and MDCT were compared.

Results: Twenty-three neuroendocrine lesions were diagnosed in 13/19 patients. EUS, PET, and MDCT correctly identified as affected 13/13 (100%), 12/13 (92%), and 10/11 (91%) patients, respectively. On a lesion basis, EUS, PET, and MDCT identified correctly as NETs 22/23 (96%), 20/23 (87%), and 13/18 (72%) lesions (P = 0.08 EUS vs. CT). Both on a patient and on a lesion basis, specificity was 67%, 83%, and 80% for EUS, PET, and MDCT, respectively.

Conclusions: EUS, Ga-68 DOTATOC PET, and MDCT seem to have comparable accuracy in diagnosis of duodenopancreatic NET and their combination may allow an optimal preoperative diagnosis.

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Source
http://dx.doi.org/10.1097/RLU.0b013e3181d6677cDOI Listing

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