Objective To analyze the clinical epidemiology of primary hepatocellular carcinoma (PHC) in the Xinjiang region. Methods Clinical data of the patients with PHC were collected at First Affiliated Hospital of Xinjiang Medical University from 5 577 cases from January 2002 to December 2014, their gender, race, age, household distribution, hepatitis virus-positive rate were analyzed retrospectively. Results Among the 5 577 eases, the men/women gender ratio was 3.45∶1;the proportion of Han, Uighur, Kazakh, and other ethnic groups (Hui, Mongolian, Manchu, Xibo) was 79.67%, 9.86%, 4.55%, 3.31%and 2.61%, respectively. The Constituent ratio difference between Uighur and Han was significant (P<0.05);4 232 patients had hepatitis B surface antigen (HBsAg) detection, and 3 833 patients had HCV antibody (HCV-Ab) detection. HBsAg was positive in 2 560 cases (60.49%), HCV-Ab was positive in 490 cases (12.78%). Hepatitis B virus detection positive rate in Uygur was 35.52%, in Kazak was 40.00%, which was lower than the Han's (65.68%, P<0.05). Urban and rural population had 3589 cases (64.35%) and 1988 cases (35.65%). Conclusion An increased risk for PHC was found in hepatitis virus-positive patients, the Xinjiang Uygur and Kazak people had significantly lower prevalence of HBV infection than the Han's. Appropriate measures should be taken for clinical diagnosis, treatment and prevention of PHC.

Clinical and imaging data of 11 patients with dysembryoplastic neuroepithelial tumors (DNET) and 15 patients with low-grade glioma (LGG) admitted in Northern Jiangsu People's Hospital were analyzed retrospectively.Routine MRI scan,diffusion weighted imaging (DWI) and enhanced scan were performed.The workstation automatically generated apparent diffusion coefficient (ADC) maps and then to obtain ADC values of the tumor parenchymal area and the contralateral normal reference area.Relative tumor/reference ADC values (rADC) were also calculated.The ADC values of parenchymal regions of tumor and contralateral normal reference areas and the rADC between DNET and LGG were compared.There was significant difference in age distribution between the two groups [(16.6± 13.1) vs.(43.0± 19.2) years,t=3.938,P＜0.01].Six out of 11 DNET cases and none of 15 LGG cases were cuneiform or fan-shaped (P＜0.01);5/11 DNET and 0/15 LGG showed circular high signal in fluid attenuated inversion recovery-T2 weighted imaging (T2FLAIR) sequence (P＜0.01),while there no significant differences in intracapsular segmentation,peritumor edema and mass effect,enhancement,and skull compression between two groups (all P＞0.05).The ADC values of tumor parenchymal regions in both groups were significantly higher than those in contralateral reference regions (both P＜0.01),the rADC of DNET was significantly higher than that of LGG (P＜0.01).It is difficult to identify DNET and LGG by conventional image morphology,however the rADC value of DNET in DWI is significantly higher than that of LGG,and can provide important reference for differential diagnosis between them.

Objective To observe the value of diffusion kurtosis imaging(DKI)radiomics for evaluating Parkinson disease(PD).Methods Totally 76 PD patients(PD group)and 80 healthy controls(HC group)were retrospectively analyzed.The subjects were divided into training set(n=125,including 61 PD and 64 HC)and test set(n=31,including 15 PD and 16 HC)at the ratio of 8:2.ROI of bilateral substantia nigra,caudate nucleus,putamen,globus pallidus and thalamus were automatically delineated on mean kurtosis(MK)images of cerebral DKI.The mean MK values(MKmean)of the above ROIs were obtained and compared between groups.Support vector machine(SVM)model was constructed based on 50 selected optimal texture features.Receiver operating characteristic(ROC)curve was drawn,and the area under the curve(AUC)was calculated to evaluate the efficacy of SVM model for evaluating PD.Results MKmean of bilateral substantia nigra,caudate nucleus and thalamus in PD group were all significantly lower than those in HC group(all P＜0.05).No significant difference of MKmean of bilateral putamen nor globus pallidus was found between groups(all P＞0.05).The sensitivity,specificity,accuracy and AUC of SVM model for evaluating PD in training set was 86.89％,93.75％,90.40％and 0.982,respectively,which in test set was 86.67％,93.75％,90.32％and 0.958,respectively.Conclusion DKI radiomics could be used to effectively evaluate PD through description of microstructural changes of cerebral nuclei.

Objective:To evaluate image quality and diagnostic performance of silent MR angiography (MRA) and discuss the feasibility of silent MRA in diagnosing intracranial aneurysms.Methods:Twenty seven patients suspected with cerebrovascular disorders and 30 intracranial aneurysms in Northern Jiangsu People's Hospital, were enrolled prospectively in this study from December 2015 to December 2018. Silent and time of flight (TOF) MRA were performed on the same day prior to CTA examination. The corresponding MRA images were independently and blindly evaluated by two experienced neuroradiologists in the aspects of signal homogeneity, lesion conspicuity, venous signal/artifact and diagnostic confidence (4-point scale). The aneurysms were divided into tiny (≤ 3 mm) and non-tinyaneurysm groups(> 3 mm) according to the measured diameters of aneurysms. The differences in image quality ratings between silent MRA and TOF MRA were analyzed using Wilcoxon signed rank tests. Intra-class correlation coefficients (ICC) were used to test the consistency of measurements between MRAs (silent MRA, TOF MRA) and CTA.Results:CTA revealed 32 intracranial aneurysms. For silent MRA and TOF MRA, the scores of signal homogeneity were 3.38±0.49 and 3.00±0.62, andthe scores of venous signal/artifact were 3.77±0.42 and 2.65±0.48.Significant differences were found between the two MRAs in these aspects ( Z=-2.21, P=0.02; Z=-5.69, P=0.01). The scores of lesion conspicuity were 3.19±0.56 and 3.15±0.46, and the scores of diagnostic confidence were 3.27±0.44 and 3.12±0.51.There were no significant differences found in these aspects ( P>0.05).The ICC coefficient was excellentfor silent MRA (0.94, 95%CI 0.82- 0.98)and was good for TOF MRA (0.72, 95%CI 0.30-0.91) in tiny aneurysm group. The ICC coefficient was excellent (silent MRA, 0.98, 95%CI 0.95-0.99; TOF MRA, 0.95, 95%CI 0.87-0.98) for both MRA in non-tiny aneurysm group. Conclusions:Compared with TOF MRA, silent MRA could achieve higher image quality and higher diagnostic confidence, and higher consistency with CTA. Silent MRA can be a promising non-contrast-enhanced alternative MRA technique in clinical setting.