Objective: To analyze the correlation of thyroid function and mean iodine concentration, total iodine of thyroid measured with dual-source CT, so as to provide a basis for assessment of iodine nutritional status and thyroid function. Methods: Dual-energy scanning of neck was performed on 37 patients with suspected neck and cervical vertebrae disease using dual-source CT. The mean iodine concentration and the volume of thyroid gland were measured, then total thyroid iodine was calculated. The thyroid function [free triiodothyronine (FT3), free thyroxine (FT4), thyroid stimulating hormone (TSH), total triiodothyronine (TT3) and total thyroxine (TT4)] were tested. The correlations of the mean iodine concentration, total iodine of thyroid and thyroid function in adults were analyzed. Results: The average iodine concentration, volume and total iodine content of thyroid tissue were (1.34±0.47)mg/ml, (12.64±3.98)ml and (16.62±7.69)mg in adult, respectively. The total iodine content of thyroid was positively correlated with FT3 (r=0.506, P<0.05), while negatively correlated with TSH (r=-0.326,P<0.05). The mean thyroid iodine concentration was positively correlated with FT3 or TT3 (r=0.461, 0.363, both P<0.05). Conclusion: Dual-source CT can measure total iodine content and mean iodine concentration of thyroid, which is helpful to evaluating thyroid function and body iodine nutritional status and providing evidences for diagnosis and treatment of thyroid diseases. In adults, there are negative correlation of the total iodine content of thyroid and TSH, positive correlation of the total iodine content of thyroid and FT3, the mean thyroid iodine concentration and FT3 or TT3.

Objective:To investigate the value of multislice spiral computed tomography (MSCT) features in the differential diagnosis of pancreatic solid pseudopapillary neoplasm (pSPN) and hypovascular pancreatic neuroendocrine tumor (hypo-PNET).Methods:From January 2016 to January 2021, at Zhongshan Hospital of Fudan University, the clinical information, pathological results and imaging data of 81 patients with pSPN and 40 patients with hypo-PNET confirmed by surgical pathology were retrospectively analyzed. The tumor location, shape, growth mode, relationship between the long axis of the lesion and pancreas, boundary, whether with calcification, floating cloud sign, ring enhancement, sausage-like enhancement, intratumoral vascular sign, pancreatic duct dilatation, distal pancreatic atrophy, intratumoral cystic change, cystic-solid ratio of tumor, the maximum diameter of the lesion, the plain and enhanced computed tomography (CT) values of the solid part of the tumor of pSPN patients and hypo-PNET patients were compared and analyzed. Chi-square test, independent sample t test and Mann-Whitney U test were used for statistical analysis. The variables with statistical significance in univariate analysis were included in the binary logistic regression model to screen the independent predictors of pSPN and hypo-PNET, and the receiver operating characteristic curve (ROC) was used to evaluate the diagnostic efficiency of MSCT characteristics in the differential diagnosis of pSPN and hypo-PNET. Results:Compared with hypo-PNET patients, most of pSPN patients were female (71.6%, 58/81 vs. 45.0%, 18/40), younger (36.0 years old (27.0 years old, 46.0 years old) vs. 56.5 years old (48.2 years old, 63.7 years old), the tumors were mostly round or elliptical (76.5%, 62/81 vs. 55.0%, 22/40), most with clear boundaries (70.4%, 57/81 vs. 40.0%, 16/40), with more intratumoral calcification (53.1%, 43/81 vs. 20.0%, 8/40), with more floating cloud sign (65.4%, 53/81 vs. 35.0%, 14/40), more without intratumoral vascular sign (77.8%, 63/81 vs. 32.5%, 13/40), more without pancreatic duct dilatation (79.0%, 64/81 vs. 55.0%, 22/40), more with mixed solid and cystic mass (38.3%, 31/81 vs. 22.5%, 9/40), with longer maximum diameter of tumor (4.0 cm (3.0 cm, 5.6 cm) vs. 3.3 cm (2.6 cm, 4.2 cm), with lower enhanced CT values in the arterial and venous phases ((54.7±13.1) HU vs. (68.2±15.0) HU and (65.9±16.0) HU vs. (79.2±14.2) HU), and the differences were all statistically significant ( χ2=8.11; Z=-6.24; χ2=5.85, 10.32, 12.02, 10.03, 23.50, 7.51, 7.72; Z=-2.53; t=-5.08 and -4.46, all P<0.05). The results of binary logistic regression model indicated that the independent predictive factors for the diagnosis of pSPN and hypo-PNET included age ( OR=0.874, 95% confidence interval (95% CI) 0.827 to 0.923, P<0.001), calcification ( OR=5.412, 95% CI 1.428 to 20.506, P=0.013), intratumoral vascular sign ( OR=0.212, 95% CI 0.055 to 0.817, P=0.024), CT value in the arterial phase ( OR=0.943, 95% CI 0.899 to 0.988, P=0.015). For the combination diagnostic model based on clinical features and MSCT characteristics, area under ROC was 0.944 (95% CI 0.905 to 0.990), sensitivity was 87.7% and specificity was 92.5% ( P<0.001). The results of ROC analysis of the independent predictive factors and combined diagnostic model showed that the areas under the curve (95% CI) of the age, calcification, intratumoral vascular sign, CT value in the arterial phase and the combined diagnostic model was 0.665 (0.565 to 0.765), 0.726 (0.627 to 0.826), 0.850 (0.775 to 0.924), 0.757 (0.660 to 0.853), and 0.944 (0.905 to 0.983), respectively, and the diagnostic efficacy of the combined diagnostic model was higher ( P<0.001). Conclusion:MSCT features such as intratumoral calcification, intratumoral vascular sign, tumor density in the arterial phase combined with age can be used in the differential diagnosis of pSPN and hypo-PNET.