Hepatic fibrosis is a reversible pathological process in various chronic liver diseases and is closely associated with the development and progression of severe liver diseases such as liver cirrhosis and hepatocellular carcinoma， and it has emerged as a significant global health challenge. In recent years， studies have shown that histone lactylation， a newly discovered epigenetic modification， actively participates in regulating the progression of hepatic fibrosis. This article systematically reviews the core regulatory effect of histone lactylation modification in the interaction between inflammatory microenvironment and hepatic fibrosis， in order to clarify the cascade regulatory mechanism of “inflammation-hepatic fibrosis” and provide new insights for early diagnosis， targeted intervention， and prevention of malignant transformation in hepatic fibrosis.

Aim To explore the application value of a predictive model constructed based on superb microvascu-lar imaging(SMI)blood flow grading indicators and serological indicators in evaluating the risk of carotid plaque shedding.Methods A total of 122 patients diagnosed with carotid plaque in Lishui Central Hospital from February 2019 to February 2021 were selected.SMI was used to observe the blood flow grading and plaque characteristics in carotid plaque,and baseline clinical data of the patients were recorded.All patients were followed up for a period of 2 years,with the occur-rence of transient ischemic attack(TIA)or acute ischemic stroke(AIS)as the endpoint event,and were divided into plaque shedding group and non-shedding group.Clinical data of the two groups were compared and analyzed,and multiple regression analysis was conducted to identify the relevant factors affecting carotid plaque shedding.According to the SMI ultrasound characteristics and serological indicators,R software was adopted to establish the nomogram model and evaluate effectiveness of the model.Results During the 2-year follow-up period,21 TIA cases and 14 AIS cases were found in the remaining 112 patients excluding 10 lost to follow up.The SMI blood flow grading,neutrophil to lymphocyte ratio(NLR),matrix metalloproteinase-9(MMP-9),and low density lipoprotein cholesterol(LDLC)levels in the plaque shedding group were higher than those in the non-shedding group,and the differences were statistically significant(P＜0.05).Multivariate Logistic regression analysis showed that SMI blood flow grade 3(OR=38.095),LDLC(OR=19.730),NLR(OR=34.525)and MMP-9(OR=1.225)were independent risk factors for carotid plaque shedding(P＜0.05).The R software established a column chart model and applied it to the ROC curve analysis.The AUC of the col-umn chart model in early prediction of plaque shedding was 0.917,with a sensitivity of 82.86％and a specificity of 90.91％.Conclusion The predictive model constructed by combining blood flow grading within carotid artery plaques and serological indicators through SMI can provide early warning of plaque shedding and guide clinical early intervention to reduce the risk of TIA and AIS.

Objective To study the clinical value of CT function supplied by DSA system. Methods 278 patients were scanned by Innova CT ,which was concomitant with Innova 3100 DSA system, to check fresh blood .In the PTC operation, Innova CT was used to direct the site,degree,deepness of needle. Results Innova CT found intracranial hemorrhage in 4 cases . The fresh blood were checked by helical -CT,too. Innova CT comparing with B type ultrasonograph ,the orientation of needle were more convenient, exact, faster. Conclusion Innova CT could perform CT scan in interventional room to save time for emergence patients. It is a great improvement that gets CT images by DSA system. There is better consistency between Helix CT and Innova CT.

This paper discusses the importance of the usage and maintenance of image plate(IP)for CR image quality and the life span of IP.