Objective To study the changes of the putamen metabolites with magnetic resonance spectrum(MRS),and to explore possible underlying unrecongnised aetiological factor and pathophysiology mechanism in the central nervous system of the patients with Tourette' s syndrome.Methods Twenty-two cases of Tourette' s syndrome,and twenty-two gender and age-matched subjects ( the control subjects ) were performed on a clinical 3.0 T MRI system.Proton prob-voxel spectroscopy imaging (1H-MRS) was obtained from two sides of the putamen.The metabolites included N-acetylaspartate (NAA),creatine and phosphocreatine ( Cr),choline-containing compounds (Cho),and myoinositol ( MI ).The value of the NAA,Cr,Cho,and MI were calculated by integration of their peaks.The ratios of NAA/Cr,Cho/Cr,ML/Cr were calculated respectively.Repeated measures analysis of variance ( ANOVA ) was used to test both the value of NAA/Cr,Cho/Cr,MI/Cr of the putamen for group difference,with group as between-subjects factor and side as within-subjects factor.Results The NAA/Cr ratio in patients ( left:1.29 ± 0.13 ; right:1.34 + 0.15 ) was significantly lower than that in the control subjects ( left:1.50 ± 0.08,T =1.962,P ＜0.05 ; right:1.52 ± 0.11,T =1.865,P ＜ 0.05 ).There was no significant difference in the Cho/Cr and MI/Cr ratio between both groups.Conclusion The abnormalities of the structure and(or) function in the putamens of patients may be the one of the underlying anaetiological factors and pathophysiology mechanisms of the Tourette' s syndrome.

ObjectiveTo investigate the central nervous system mechanisms of active of movement switch in the patients with Tourette' s syndrome( TS),and to explore the possible underlying distinct neural networks for tic trigger and generation. Methods Participants were 14 patients with TS and 14 age- and gender-matched healthy volunteers with no history of physical,psychiatric or neurological disease: All patients were assessed with functional magnetic resonances imaging (fMRI)of the brain during the intermittent performance of finger-tapping switch tasks,Blood-oxygen-level dependent-fMRI was performed using a 3.0 Tesla MR.The area over which the activation was distributed was calculated,and the activation volumes were also compared between the patients with TS and the control subjects.ResultsThe regions activated in the patients with TS and in the volunteers were similar in several brain regions,including contralateral precentral and postcentral gyrus,contralateral mesia pre-front gyrus,contralateral cingulate gyrus,contralateral insula and ipsilataral cerebellum. There were also many different activation areas between the patients and the control subjects. The patients with TS demonstrated more significant and extended activation in the contralateral pre- and postcentral gyrus than the healthy volunteers.The volume of the left pre- and postcentral gyrus of the TS patients was (8.024 ±0.071 ) cm3,while the volume of the left pre-and postcentral gyrus of the control subjects was ( 6.480 ± 0.026) cm3 ( t =3.026,P ＜ 0.01 ) ; The volume of the right pre- and postcentral gyrus was (6.192 ± 0.019) cm3 in the TS cases,while there was (5.608 ±0.037) cm3 in the control subjects (t =2.752,P ＜0.05).There were significant differences in the volumes of bilateral pre- and postcetral gyrus between the TS and control subjects. The activations of conralateral thalamus without contralateral insula were found in the patients with TS. Conversely, the contralateral insula activation without thalamus activation could be found in the healthy volunteers.ConclusionThe thalamus might play an important role in the aetiological and physiopathologic mechanisms of the TS. The thalamus along with the parietal cortex,cingulate cortex and insular cortex appear to constitute a distinct neural network for tic trigger and generation.

BACKGROUND: Lung cancer is the cancer with the highest morbidity and mortality at home and abroad at present. Using computed tomography (CT) to screen lung cancer nodules is a huge workload. To test the effect of artificial intelligence in automatic identification of lung cancer by using artificial intelligence to find the lung cancer nodules automatically in the chest CT of 1 mm and 5 mm thick. METHODS: 5,000 cases of T1 stage lung cancer patients with 1 mm and 5 mm layer thickness were respectively labeled and learned by computer neural network, the algorithm of forming pulmonary nodules was carried out. 500 cases of chest CT in T1 stage lung cancer patients with 1 mm and 5 mm thickness were tested by artificial intelligence formation, and the sensitivity and specificity were compared with artificial reading. RESULTS: Using artificial intelligence to read chest CT 500 in 5 mm, the sensitivity was 95.20%, the specificity was 93.20%, and the Kappa value of two times repeated read was 0.926,1. For 1 mm chest CT 500 cases, the sensitivity is 96.40%, the specificity is 95.60%, and the Kappa reads two times is 0.938,6. Compared with 5 doctors, the same CT sets with 1 mm thickness were read. The detection rates of artificial intelligence and artificial reading were similar to those of lung cancer nodules and negative control read films, and there was no significant difference between them. In the comparison of the same CT slices with 5 mm thickness, the number of detection of lung cancer nodules by artificial intelligence is better than that of artificial reading, and the sensitivity is higher, but the number of false messages is increased and the specificity is slightly worse. CONCLUSIONS The automatic learning of early lung cancer chest CT images by artificial intelligence can achieve high sensitivity and specificity of early lung cancer identification, and assist doctors in the diagnosis of lung cancer.
Artificial Intelligence ; Humans ; Lung Neoplasms ; diagnosis ; pathology ; Medical Informatics ; methods ; Neoplasm Staging

Objective To investigate the predictors for the preoperative diagnosis of pancreatic mucinous cystic neoplasm with invasive carcinoma (MCN-IC).Methods Clinical data of 132 patients with pancreatic mucinous cystic neoplasm ( MCN ) who underwent surgery and were pathologically diagnosed in Shanghai Changhai Hospital and General Hospital of Xinjiang Military Region from August 2000 to December 2013, including gender, age, medical history, clinical presentations, laboratory examinations and imaging findings and etc , were retrospectively analyzed .All cases were classified into two groups:MCN with noinvasive carcinoma ( MCN-nIC, including MCN with low-or intermediate-grade dysplasia and MCN with high-grade dysplasia ) and MCN-IC.The univariate and multivariate logistic regression was used to analyze the differences on laboratory examinations and imaging findings and the like to identify the predictors for the preoperative diagnosis of MCN-IC.Receiver operator characteristic ( ROC) curve was used to evaluate fitting performance and Hosmer-Lemeshow test was performed to evaluate goodness of fit .Results Of the 132 patients, 115 (87.12％) were MCN-nIC, 17(12.88％) were MCN-IC.Univariate analysis identified old age(≥60 years), abdominal pain, anorexia, GLU elevated, CEA≥5 ng/ml, CA19-9≥37 U/ml, unclear border of tumor , thick wall (>2 mm) , presence of mural nodules and absence of the septa as independent predictors for MCN-IC. Multivariate analysis identified old age (≥60 years), abdominal pain, CA19-9≥37 U/mL, unclear border of tumor, presence of mural nodules and absence of the septa as the predictors for MCN -IC.The maximal area under ROC ( AUC) was 0.947, which indicated that the fitting performance of the model was satisfactory and the goodness of fit was better (P=0.056).Conclusions MCN-IC had a generally low prevalence .Old age (≥60 years), abdominal pain, CA19-9≥37 U/ml, unclear border of tumor, presence of mural nodules and absence of the septa may predict the diagnosis of MCN-IC.

Objective To investigate the prevalence of Vibrio parahaemolyticus(VP)in oysters in Jinshan District, Shanghai and make assessment on the risks that may cause, providing the basis for prevention and control of foodborne disease. Methods Raw oyster samples with shells were randomly collected from markets, supermarkets and restaurants in Jinshan District from July to October in 2017. The content of VP in oysters was tested in accordance with the national standard methods. The semi-quantitative risk assessment for VP in oysters was made by Risk Ranger combining with the monitoring results of diet and health status of residents in Jinshan District of Shanghai in 2012-2013. Results The overall positive rate of VP in the 40 oyster samples was 80.0%(32/40). The positive rate of VP in oyster samples from farmer's markets was the highest, 85.7%(12/14), followed by those from restaurants and supermarkets. The relative risk for VP in raw oysters was 63. The probability of illness caused by VP in oysters per day per consumer of interest was 6.85×10^-4, and the total predicted patients annual incidence rate in this population was 1 247.8/10⁵. Conclusion The contamination of VP in seafood oysters in Jinshan District is serious. Eating raw oysters is at high risk; consumers are advised to reduce or avoid eating raw oysters, and processing food before eating is an effective method to decrease VP infection. Strengthening surveillance and management is imperative in this regard.