[Characterization of Endocrine Glands Involved in Erdheim-Chester Disease].

Objective To investigate the clinical and imaging characteristics of endocrine glands involved in Erdheim-Chester disease (ECD).Methods A retrospective analysis was performed on 48 ECD cases pathologically diagnosed from January 2014 to October 2020 in Peking Union Medical College Hospital,including 22 cases of endocrine gland involvement.The clinical,imaging,and pathological characteristics were summarized. Results Pituitary was involved in 17 cases (17/48,35.4%),adrenal gland in 8 cases (8/48,16.7%),and both pituitary and adrenal gland in 3 cases (3/48,6.25%).The most common symptom in patients with pituitary involvement was central diabetes insipidus (13/17,76.5%),and the T1-weighted imaging showed posterior pituitary hypersignal disappearance,pituitary stalk thickening,and abnormally enhanced pituitary nodules.The most common symptom in patients with adrenal gland involvement was adrenal function reduction (3/8,37.5%),and the CT scanning showed diffuse thickening of adrenal glands.BRAF V600E mutation was positive in 13 (13/22,59.1%) cases with ECD involving endocrine glands.Conclusion Pituitary and adrenal glands are the most common sites of ECD involving endocrine glands.A definite diagnosis can be achieved by combining clinical,imaging,and pathological characteristics for timely treatment.

Quantitative analysis of the risk of type 2 diabetes and fatty liver in non-obese individuals by computed tomography.

PURPOSE: To explore the risk of fatty liver and type 2 diabetes with quantitative parameters of abdominal computed tomography (CT) in a non-obese population. METHODS: A retrospective analysis of abdominal CT and hospitalization records of inpatients admitted from May 2019 to May 2021 were divided into a non-obese control group (n = 143 cases) and a non-obese diabetes group (n = 105 cases). The measured abdominal CT parameters included body width, liver and spleen CT values, and the ratio of the liver CT value to the spleen CT value (L/S ratio). Logistic regression was used to analyze the risk factors for diabetes in non-obese individuals. RESULTS: Three variables including body width (P < 0.001), liver CT value (P = 0.013), and L/S ratio (P = 0.002) were significantly correlated with the presence of diabetes in non-obese individuals. CONCLUSION: Body width, liver CT value, and L/S ratio can be used to indicate the risk of type 2 diabetes in non-obese individuals.