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  • Ovid Technologies (Wolters Kluwer Health)  (1)
  • Dai, Meng  (1)
Medientyp
Verlag/Herausgeber
  • Ovid Technologies (Wolters Kluwer Health)  (1)
Sprache
Erscheinungszeitraum
  • 1
    In: Medicine, Ovid Technologies (Wolters Kluwer Health), Vol. 101, No. 34 ( 2022-08-26), p. e30252-
    Kurzfassung: Multiple endocrine neoplasia type 1 (MEN1) syndrome is a rare and complicated disease that is associated with several endocrine tumors. Here, we report a case of MEN1 associated with insulinoma, parathyroid, and pituitary tumors by 68 Ga-DOTATATE positron emission tomography/computed tomography (PET/CT). Patient concerns: A 49-year-old woman presented with intermittent hypoglycemia for more than a year and developed indistinct consciousness without an apparent trigger. Diagnoses: Biochemical results showed abnormally high serum insulin and parathyroid hormone levels. She underwent an Abdominal magnetic resonance imaging revealed a small nodule in the uncinate process of the pancreas, but it did not clarify the nature of the small nodule. Pituitary magnetic resonance imaging scan revealed a micropituitary tumor, and parathyroid imaging showed no abnormalities. 18 F-FDG PET/CT showed no apparent abnormal 18 F-FDG uptake in the whole body. In contrast, 68 Ga-DOTATATE PET/CT imaging showed pathological radiotracer uptake in the pancreatic uncinate process, accompanied by mild radiotracer uptake in the pituitary gland, and no apparent abnormal radiotracer uptake in the parathyroid area. Interventions: The patient underwent echoendoscopy for pancreatic uncinate process lesions and surgical resection. Outcomes: Histological analysis was suggested of insulinoma of pancreatic neuroendocrine tumor, the Ki-67 index was low (only 1% being positive). Lessons: This case demonstrates that 68 Ga-DOTATATE can be used for the detection of MEN1-related tumors and preoperative localization of small and low-grade insulinomas by PET/CT.
    Materialart: Online-Ressource
    ISSN: 1536-5964
    Sprache: Englisch
    Verlag: Ovid Technologies (Wolters Kluwer Health)
    Publikationsdatum: 2022
    ZDB Id: 2049818-4
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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