ObjectiveTo evaluate CT and MRI findings of the intrathoracic ganglioneuroma and to improve its diagnosis and differential diagnosis ability.MethodsClinical,CT( n = 14),MRI (n = 6) and pathology manifestations of 20 patients with the intrathoracic ganglioneuroma were retrospectively analyzed.All 20 cases had chest CT and MRI plain scanning and multiphase enhance scanning before operation.ResultsSeventeen of 20 lesions were located in posterior mediastinum,2 in pleura side and 1 in right thorax cavity.The CT value of the plain scans ranged from 20 to 40 HU ( mean 30.5 HU),Tubercle calcification were detected in four masses,one case with fat density was showed on CT scanning.After injecting contrast media,CT value ranged from 0 to 12 HU (mean 6.2 HU) in artery phase,ranging from 10 to 20 HU ( mean 14.3 HU) in delay phase.Five of 6 cases of MRI signals were homogeneously low intensity on T1 WI,1 case with fat signal was imhomogeneously low intensity on T1WI.Six cases were imhomogeneously high intensity on T2WI.A whorled appearance was visualized in one tumor on T2WI.The post-contrast enhancement MR images was slight enhancement imhomogeneously in artery phase and gradual increasing enhancement in delay phase.ConclusionOn CT and MR imaging,no enhancement or slight enhancement in artery phase and gradual increasing enhancement in delay phase are characteristic manifestations of ganglioneuroma in the thorax.

Traditional EP analysis is developed under the condition that the background noises in EP are Gaussian distributed. Alpha stable distribution, a generalization of Gaussian, is better for modeling impulsive noises than Gaussian distribution in biomedical signal processing. Conventional blind separation and estimation method of evoked potentials is based on second order statistics (SOS). In this paper, we propose a new algorithm based on minimum dispersion criterion and Givens matrix. The simulation experiments show that the proposed new algorithm is more robust than the conventional algorithm.
Algorithms ; Artifacts ; Brain ; physiology ; Electroencephalography ; methods ; Evoked Potentials ; physiology ; Humans ; Normal Distribution ; Signal Processing, Computer-Assisted

[Purpose]To analyze the trend of gastric cancer incidence and age characteristics in Jiangsu cancer registration areas from 2009 to 2019.[Methods]Cancer registration data from 2009 to 2019 meeting quality control requirements were collected from 16 cancer registries in Jiangsu Province.The crude incidence rate and age-standardized incidence rate by Chinese standard population in 2000(ASIRC)were calculated by gender,urban/rural areas and age groups.The inci-dence trends were analyzed by Joinpoint.A birth cohort model was constructed to calculate the in-cidence rate of gastric cancer for men and women born between 1929 and 2019.The age composi-tion of gastric cancer incidence in Jiangsu Province between 2009 and 2019 was calculated and compared.[Results]The crude incidence rate and ASIRC of gastric cancer in Jiangsu cancer regi-stration areas from 2009 to 2019 showed a significant decreasing trend in both male and female or urban and rural areas,in which the decrease in male(AAPC=-1.28％,P＜0.001)was higher than that of female(AAPC=-1.17％,P=0.030),and the decrease in urban(AAPC=-1.66％,P＜0.001)was higher than that of rural(AAPC=-0.72％,P＜0.001).The incidence rates of gastric cancer in age groups of 40～79 years old showed a significant decreasing trend from 2009 to 2019 with the AAPC ranging from-6.75％to-3.54％(all P＜0.05).In age groups of 40～79 years old,the inci-dence rates of gastric cancer among people with different years of birth showed a decreasing trend with the increase of the birth year.For ASIRC,the composition of patients aged 60 years old above increased by 0.63％(95％CI:0.46％～0.81％)per year from 2009 to 2019.[Conclusion]The inci-dence rate of gastric cancer in cancer registration areas of Jiangsu Province from 2009 to 2019 showed a decreasing trend,the average age of incidence showed a trend of backward moving,and for age-standardized incidence the proportion of patients over 60 years old was increased.