Objective To observe the value of subregional non-contrast CT(NCCT)radiomics features based on habitat imaging technology for predicting hematoma expansion(HE)in patients with spontaneous intracranial hemorrhage(sICH).Methods Data of 228 sICH patients with negative conventional imaging signs were retrospectively analyzed and divided into HE group(n=99)or non HE(NHE)group(n=129)based on the occurrence of HE nor not.also divided into training set(n=182)or test set(n=46)at a ratio of 8:2.Clinical data,NCCT data and laboratory examination results were compared between groups.Logistic regressive analysis was performed to screen the impact factors of HE.ROI of whole hematoma(ROIwhole)was sketched and clustered into 3 sub-regions(ROIsub1,ROIsub2 and ROIsub3,the latter located in the critical area between hematoma and brain tissue)with habitat imaging technology,and radiomics features of ROI were extracted and screened.Then 4 prediction models were constructed based on the above 4 ROI,and the efficacy of each model for predicting HE was analyzed.Results The fasting blood glucose in HE group was higher than that in NHE group(t=2.047,P=0.041),which was not independent impact factor for predicting HE in sICH patients(P=0.070)according to logistic regression analysis.The area under the curve of ROIsub3 radiomics model for predicting sICH HE in training and test set was 0.945 and 0.863,respectively,not significantly different with that of ROIwhole(0.921,0.813),ROIsub1(0.925,0.807)nor ROIsub2(0.909,0.720)(all P＞0.05).Decision curve analysis showed that ROIsub3 radiomics model could bring greater benefits than the other 3 models.Conclusion NCCT radiomics features of the critical area between hematoma and brain tissue based on habitat imaging technology had high value for predicting HE in sICH patients.

[Abstract] Objective: To explore the mRNA molecular targets for diagnosis of hepatic carcionoma and to investigate their functional roles in proliferation and cell cycle of hepatic cancer cells. Methods: Based on the statistical analysis of miRNA expression data from 377 hepatic carcionoma samples and 37 adjacent non-cancerous samples in TCGAdatabase, a group of 33 differentially expressed miRNAs were identified.A further screen of these differentially expressed miRNAs was performed using the receiver operating characteristic curve (ROC curve) and Kaplan-Meier survival analysis; and with referring to the current publications, miR-451 was screened as the study subject. HepG2 cells were transfected with pLVX-shRNA2-miR-451 to over-express miR-451. The effect of miR-451 over-expression on the proliferation of HepG2 cell was determined by CCK-8 assay; while the effect on cell cycles was detected by flow cytometry. Results: The expression of miR-451 in the adjacent non-cancerous tissues was significantly lower than that in cancer tissues ([473.40±390.24] vs [1 990.47±2 118.04], P<0.05). MiR-451 could be used as an early diagnostic biomarker of hepatic carcionoma, with a high ROC value of 0.91 (sensitivity 0.89, specificity 0.87). The results of in vitro experiments showed that the proliferation of HepG2 cells was significantly decreased after miR-451 over-expression (48 h: [0.69±0.04] vs [1.08±0.05]; 72 h: [0.76±0.07] vs [1.52± 0.02]; all P<0.01), and a large number of cells were blocked in S phase(P<0.05). Conclusion: miR-451 has the potential to be used as a biomarker for hepatic carcionoma diagnosis and prognosis; moreover, it also exhibits the inhibitory effect on proliferation of hepatic cancer cells.