Objective To evaluate the correlation between the contrast enhanced features on spiral computed tomography(SCT) and microvessel density(MVD),TP,TGF-?_1 expression.Methods Forty seven cases with hepatocellular carcinoma(HCC) proved pathologically were examined with enhanced dual-phase SCT scanning at the arterial phase and the portal vein phase.The SCT features including the size of HCC lesions,enhanced patterns,capsule patterns,the diameter of tumor,intrahepatic daughter foci and tumor-emboli in portal veins were studied.The expression of TP,TGF-?_1 and MVD were detected by immunohistochemical SP method.The enhanced features of SCT were compared with the immunohistochemical results and clinicopathological characteristics of HCC.Results TP and MVD were correlated with metastasis and capsule patterns(P0.05).Conclusion The expression of TP,TGF-?1 and angiogenesis of HCC can be evaluated by some SCT features in a certain degree.

Hepatocellular carcinoma is one of the common malignant tumors, and most patients with hepatocellular carcinoma are already in the middle stage at the time of clinical detection, transarterial chemoembolization is the treatment of choice for mid-stage hepatocellular carcinoma.Due to the high degree of tumor heterogeneity, accurately predicting the outcome of patients with hepatocellular carcinoma after transarterial chemoembolization remains one of the difficulties in clinical practice.As an emerging technology, radiomics can not only reflect tumor heterogeneity non-invasively, but also monitor, evaluate and predict tumor progression by analyzing changes in the tumor microenvironment to guide patients′ personalized treatment and prolong their survival time.This article reviews the progress of the application of radiomics in predicting the efficacy of transarterial chemoembolization for hepatocellular carcinoma.

Objective:To investigate the application value of susceptibility-weighted imaging (SWI) in the diagnosis of intracranial dural arteriovenous fistula (DAVF).Methods:Patients with DAVF confirmed by digital subtraction angiography (DSA) in Weihai Municipal Hospital from January 2014 to January 2021 were retrospectively included. All patients underwent conventional T 1-weighted imaging (T 1WI), T 2-weighted imaging (T 2WI) and SWI, and some patients also underwent 3D time-of-flight magnetic resonance angiography (3D-TOF-MRA). Results:A total of 36 patients with DAVF were enrolled, 29 of them received 3D-TOF-MRA. The fistula location of 24 patients (24/36, 66.7%) underwent SWI and 26 patients (26/29, 89.7%) underwent 3D-TOF-MRA were correctly judged, and the difference was statistically significant (Fisher's Exact Test, P=0.039). SWI showed that the proportion of patients with thickened supply arteries (7/36, 19.4%) was significantly lower than that on 3D-TOF-MRA (14/29, 48.3%; χ2=6.105, P=0.013). T 2WI, 3D-TOF-MRA and SWI showed no cerebral venous abnormalities in all 7 patients with DAVF without cortical venous reflux; in 29 patients with DAVF with cortical venous reflux revealed by DSA, SWI and T 2WI showed all patients (100%) and 26 patients (89.7%) had superficial venous dilatation respectively, but there was no significant difference ( χ2=0.693, P=0.405). SWI showed medullary vein dilation in 17 patients (47.2%), and only 2 patients (5.6%) had medullary vein thickening on T 2WI, and the difference was statistically significant ( P<0.001). The proportion of patients with venous cerebral infarction on T 2WI was significantly higher than that on SWI (22.2% vs. 0%; Fisher’s Exact Test P=0.005), and the proportion of patients with intracerebral hemorrhage on SWI was significantly higher than that on T 2WI (61.1% vs. 25.0%; χ2=9.574, P=0.004). Conclusion:SWI is helpful to evaluate the abnormal drainage vein of DAVF and the secondary changes in brain, especially intracerebral hemorrhage.

Small renal cell carcinoma refers to a renal malignant tumor with a maximum diameter of 4 cm.Due to the small size, its diagnosis and differential diagnosis have been difficult points in clinical work. CT texture analysis is an emerging technique, it determines the tumor heterogeneity by analyzing the distribution and relationship of pixel or voxel gray-scale levels in the CT images, it acts to more accurately predict the benign and malignant tumors and the classification of tumors.This paper reviews CT texture analysis on the diagnosis and differential diagnosis of small renal cell carcinoma, in order to guide the correct diagnosis of doctors and effectively clinical treatment.