In clinical practice,the diagnosis of hepatocellular carcinoma primarily relies on imaging findings.For cases with atypical imaging features or insufficient diagnostic specificity,pathological analysis remains essential.With the advancement of precision medicine,research focus has expanded from pure diagnostic evaluation to therapeutic efficacy prediction.Imaging-based prognostic biomarkers have emerged as a key research frontier in hepatocellular carcinoma management.Although accurate diagnosis remains paramount,current investigations increasingly prioritize the identification of biomarkers for treatment response prediction and outcome stratification.Recent studies demonstrate that radiological characteristics not only reflect tumor heterogeneity but also carry prognostic implications for hepatocellular carcinoma.These imaging biomarkers enable non-invasive outcome prediction and provide objective evidence to optimize therapeutic decision-making.This comprehensive review summarizes MRI-derived imaging features associated with hepatocellular carcinoma prognosis,aiming to guide personalized treatment strategies and ultimately improve survival outcomes for hepatocellular carcinoma patients.

Aim To explore the possible regulatory effect of leptin on acyl-CoA synthetase long chain fami-ly member ACSL5 and their effect on migration and in-vasion of breast cancer cell,and to explore the underly-ing mechanism.Methods The expression of leptin receptor was detected by immunofluorescence assay.The migration and invasion ability of MCF-7 cells were detected by wound healing assay and Transwell assay respectively.The downstream target gene of leptin was analyzed by PCR microarray data.The expression of ACSL5 in breast cancer and its correlation with the staging and prognosis of breast cancer patients were as-sessed uing bioinformatics methods.The expression of ACSL5 in MCF-7 cells treated with different concentra-tions of leptin was detected using real time fluorescence quantitative polymerase chain reaction(RT-qPCR).Overexpressing ACSL5 was constructed by lentiviral transfection;the expressions of EMT related proteins,AMPK-α and p-AMPK-α were detected by Western blot.Results Leptin promoted breast cancer cell mi-gration and invasion and EMT.ACSL5 was significant-ly low expressed in breast cancer and related to progno-sis.Leptin downregulated the expression of ACSL5 through OBR.Leptin activated AMPK pathway to downregulate ACSL5 and promote migration,invasion and EMT of breast cancer cells.Conclusions Leptin may promote the migration,invasion and EMT of breast cancer by downregulating ACSL5 through activating AMPK pathway.

Objective:It aims to systematically evaluate the current status of knowledge,attitude,and practice(KAP)regarding universal commercial medical insurance among residents of the sample province from the demand-side perspective.Methods:Utilizing a quota sampling method,face-to-face surveys were conducted via the Questionnaire Star platform to collect demographic characteristics and KAP data of the participants.Comparisons of differences among different groups were made using t-tests,analysis of variance,and chi-square tests.Furthermore,multiple linear regression and structural equation modeling were utilized to analyze the influencing factors of KAP,as well as the pathways among these three factors.Results:Out of the 415 valid questionnaires collected,there were notable differences in KAP among respondents with diverse demographic backgrounds.Regression analysis revealed that education level,frequency of health check-ups,and engagement in other commercial health insurances significantly influenced knowledge;education level,involvement in other commercial health insurances,and self-assessed health status were pivotal in shaping attitudes;whereas age,education level,frequency of health check-ups,and participation in other commercial health insurances were critical in affecting practice.The path analysis results indicate that knowledge of universal commercial medical insurance has a significant direct association with attitude(β=0.379,P＜0.001)and practice(β=0.323,P＜0.001).It also influences practice through attitude as a mediator(β=0.016,P＜0.001),but the direct effect of attitude on practice is not significant(β=0.04,P=0.403).Conclusion:While residents in the sample province exhibit a positive attitude towards universal commercial medical insurance,there is a need to enhance their level of knowledge and engagement in practice.It is recommended to strengthen targeted educational and promotional measures to promote the healthy and sustainable development of universal insurance.

Objective:It aims to systematically evaluate the current status of knowledge,attitude,and practice(KAP)regarding universal commercial medical insurance among residents of the sample province from the demand-side perspective.Methods:Utilizing a quota sampling method,face-to-face surveys were conducted via the Questionnaire Star platform to collect demographic characteristics and KAP data of the participants.Comparisons of differences among different groups were made using t-tests,analysis of variance,and chi-square tests.Furthermore,multiple linear regression and structural equation modeling were utilized to analyze the influencing factors of KAP,as well as the pathways among these three factors.Results:Out of the 415 valid questionnaires collected,there were notable differences in KAP among respondents with diverse demographic backgrounds.Regression analysis revealed that education level,frequency of health check-ups,and engagement in other commercial health insurances significantly influenced knowledge;education level,involvement in other commercial health insurances,and self-assessed health status were pivotal in shaping attitudes;whereas age,education level,frequency of health check-ups,and participation in other commercial health insurances were critical in affecting practice.The path analysis results indicate that knowledge of universal commercial medical insurance has a significant direct association with attitude(β=0.379,P＜0.001)and practice(β=0.323,P＜0.001).It also influences practice through attitude as a mediator(β=0.016,P＜0.001),but the direct effect of attitude on practice is not significant(β=0.04,P=0.403).Conclusion:While residents in the sample province exhibit a positive attitude towards universal commercial medical insurance,there is a need to enhance their level of knowledge and engagement in practice.It is recommended to strengthen targeted educational and promotional measures to promote the healthy and sustainable development of universal insurance.

Purpose To evaluate the diagnostic value of an abbreviated protocol MRI(AP-MRI)based on first post-contrast subtracted(FAST)images for breast cancer detection.Materials and Methods This study included imaging data from 160 female patients with solid breast lesions who underwent breast MRI in the First Affiliated Hospital of Henan University of Chinese Medicine from April 2021 to January 2024.Two AP-MRI protocols were extracted from the full diagnostic protocol(FDP),including:dynamic contrast-enhanced MRI(DCE-MRI)A protocol:FAST and maximum-intensity projection(MIP)images,and DCE-MRI B protocol:FAST+MIP+diffusion-weighted imaging(DWI).Lesions categorized as breast imaging reporting and data system(BI-RADS)1-3 were classified as negative,and those categorized as BI-RADS 4-5 were classified as positive.Pathological findings served as the diagnostic gold standard.Two radiologists independently evaluated the lesions as negative/positive and compared with the gold standard.The sensitivity,specificity and accuracy of the three protocols were compared.Receiver operating characteristic curves were generated for each protocol,and the area under the curve(AUC)was compared.Results The accuracy of the three protocols showed statistically significant differences(Cochran's Qreader1=6.000,P=0.050;Cochran's Qreader2=10.909,P=0.012).The accuracy of the DCE-MRI A protocol was significantly lower than that of the FDP protocol(Z=2.449,Preader1=0.043;Z=2.858,Preader2=0.013).There were no statistically significant differences in sensitivity(Cochran's Qreader1=3.000,P=0.223;Cochran's Qreader2=2.667,P=0.264)or specificity(Cochran's Qreader1=3.000,P=0.223;Cochran's Qreader2=2.800,P=0.247)between the two AP-MRI protocols and the FDP protocol.There were no statistically significant differences in AUC between the DCE-MRI B protocol and the FDP protocol(Z=1.390-1.719,all P>0.05),while the AUC of the DCE-MRI A protocol had lower AUCs than the FDP protocol(Z=1.980,2.441;both P<0.05).Conclusion The AP-MRI protocol combining FAST,MIP and DWI shows diagnostic accuracy comparable to that of the FDP and greatly saves time and cost,suggesting its potential as an alternative imaging strategy for women with dense breasts and as a new diagnostic approach for high-risk populations.

Subarachnoid hemorrhage(SAH)is a major subtype of stroke,characterized by high mortality and disability rates.Pyroptosis,a form of programmed cell death,has been identified as a key pathological process in early brain injury.Current research indicates that pyroptosis can occur in neurons,microglia,astrocytes,and cerebral vascular endothelial cells after SAH,leading to neurological dysfunction,brain edema,and disruption of the blood-brain barrier.The NOD-like receptor protein 3(NLRP3)inflammasome is regarded as a central regulatory component of pyroptosis,and its activation mechanisms and roles in various cell types have become focal points of research.A variety of therapeutic strategies targeting this pathway have emerged,including NLRP3 inhibitors,Caspase-1 inhibitors,and Gasdermin-D inhibitors.The aforemenetioned approaches all have demonstrated efficacy in animal studies.Additionally,novel technologies such as stem cell therapy,exosome therapy,and gas therapy offer novel intervention approaches for modulating pyroptosis.Although,various therapeutic strategies targeting pyroptosis-related pathways have emerged in recent years,a comprehensive summary remains absent.This article reviewed the advancements in pyroptosis research following SAH and associated treatment strategies,aiming to provide a theoretical foundation for subsequent mechanistic studies and clinical translation.

Objective To explore the incidence and its influencing factors of transient severe motion(TSM)in the arterial phase of gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid(Gd-EOB-DTPA)enhanced MRI.Methods The databases of China National Knowledge Network(CNKI),VIP,Wanfang,PubMed,and Embase were searched for studies on the incidence and influencing factors of TSM,and the search time was from the establishment of the databases to October 2024.Meta-analysis was performed via Stata 17.0 software.Results A total of 30 papers(33 studies)were finally included,totaling 12 565 patients.Meta-analysis results showed that the incidence of TSM in the arterial phase of Gd-EOB-DTPA enhanced MRI was 13.0％.The risk factors for TSM included age[odds ratio(OR)=1.03;95％confidence interval(CI)1.02-1.05;P＜0.001),chronic obstructive pulmonary disease(COPD)(OR=4.21;95％CI 1.76-10.09;P=0.001),and moderate-to-severe pleural effusion(OR=3.34;95％CI 1.69-6.63;P=0.001),while a previous usage history of Gd-EOB-DTPA(OR=0.56;95％CI 0.39-0.81;P=0.002)was a protective factor of TSM.Conclusion The incidence of TSM in the arterial phase of Gd-EOB-DTPA enhanced MRI is relatively high.Age,COPD,moderate-to-severe pleural effusion are risk factors for TSM,while the previous usage history of Gd-EOB-DTPA is a protective factor for TSM.

Purpose To investigate the independent risk factors for early recurrence of solitary hepatocellular carcinoma after radiofrequency ablation based on gadoxetic acid disodium(Gd-EOB-DTPA)-enhanced MRI combined with clinical features.Materials and Methods Clinical and imaging data of hepatocellular carcinoma patients who underwent radiofrequency ablation at the First Affiliated Hospital of Henan University of Chinese Medicine from January 2019 to June 2022 were retrospectively collected.All patients underwent preoperative Gd-EOB-DTPA-enhanced MRI and were followed up for up to two years post-surgery.Univariate and multivariate Cox proportional hazards regression were performed to identify independent risk factors for recurrence after radiofrequency ablation.Results A total of 58 patients were finally included,including early recurrence group(n=22)and non-early recurrence group(n=36).Multivariate Cox regression analysis revealed that preoperative alpha-fetoprotein(AFP)levels(HR=1.103,95%CI 1.008-1.206,P=0.033),arterial-phase irregular margin enhancement(HR=4.647,95%CI 1.527-14.110,P=0.007),peritumoral arterial-phase enhancement(HR=11.575,95%CI 3.575-37.478,P=0.001)and peritumoral hepatobiliary phase hypointensity(HR=5.058,95%CI 1.129-22.668,P=0.034)were independent risk factors for early recurrence.The area under the curve for AFP combined with arterial-phase irregular margin enhancement,peritumoral arterial-phase enhancement and peritumoral hepatobiliary phase hypointensity were 0.896,0.842 and 0.860,with accuracy rates of 81.0%,84.5%and 82.8%,respectively.Conclusion Preoperative serum AFP levels,arterial-phase irregular margin enhancement,peritumoral arterial-phase enhancement and peritumoral hepatobiliary phase hypointensity are independent risk factors for early recurrence after radiofrequency ablation in hepatocellular carcinoma patients.The combination of AFP and any of these MRI features significantly improves predictive efficacy.

BACKGROUND:Cognitive impairment is the most common complication after stroke,and its severity is closely related to the patient's prognosis.The prognosis of patients can be significantly improved if the severity of their cognitive impairment is recognized and targeted early.OBJECTIVE:To initially explore potential biomarkers affecting the progression of post-stroke cognitive impairment,thereby providing a richer and unique reference for the study of their pathophysiological mechanisms.METHODS:Using ultra performance liquid chromatography-mass spectrometry,non-targeted metabolomics analysis was conducted on serum samples from patients with mild and moderate post-stroke cognitive impairment to identify differential metabolites between the two groups.To further validate the diagnostic efficacy of the differential metabolites,the receiver operating characteristic curve analysis was used to evaluate their accuracy and sensitivity in distinguishing disease severity.In addition,pathway analysis was conducted on the differential metabolites.RESULTS AND CONCLUSION:(1)There were significant differences in metabolic profiles between patients with mild and moderate post-stroke cognitive impairment,and 9 differential metabolites were screened by the receiver operating characteristic curve.(2)Differential metabolite pathway analysis revealed that the metabolic pathways affecting disease progression in patients with mild-to-moderate post-stroke cognitive impairment included tryptophan metabolism,D-amino acid metabolism,biotin metabolism,retinol metabolism,aminoacyl-tRNA biosynthesis,lysine degradation,protein digestion and uptake,pyrimidine metabolism,cysteine and methionine metabolism,ABC transporter proteins,amino acid biosynthesis,and 2-oxocarboxylic acid metabolism.To conclude,9 potential biomarkers affecting disease progression in patients with mild-to-moderate post-stroke cognitive impairment have been identified,involving 12 metabolic pathways including tryptophan metabolism,D-amino acid metabolism and retinol metabolism.

Objective To observe the value of pituitary radiomics and MRI features combined model for predicting growth hormone(GH)status in pediatric short stature.Methods Totally 300 children with short stature were enrolled as training set,while other 73 cases were taken as external validation set.Based on growth hormone stimulation test,the children were divided into GH deficiency(GHD)group(n=228)and non-GHD group(n=145).The training set included 196 cases in GHD subgroup and 104 cases in non-GHD subgroup,while the validation set included 32 cases in GHD subgroup and 41 cases in non-GHD subgroup.Radiomics features of pituitary were extracted from T1WI.The key features were selected using least absolute shrinkage and selection operator(LASSO)regression,and machine learning models were subsequently constructed using support vector machine(SVM),logistic regression(LR),naive Bayes(NB)and K-nearest neighbor(KNN),respectively.Then combined models were constructed combining with MRI features,and the efficacy of each model was evaluated.Results The area under the curve(AUC)of SVM,LR,NB,and KNN radiomics model for predicting GH status in pediatric short stature was 0.860,0.831,0.838 and 0.901 in training set,0.788,0.829,0.823 and 0.770 in validation set,while of the relative combined SVM,LR,NB and KNN model was 0.924,0.903,0.859 and 0.920 in training set,and 0.827,0.881,0.836 and 0.718 in validation set.LRcombined model had the best overall performance,with sensitivity of 84.94％,specificity of 80.56％and accuracy of 83.61％in training set,and 80.95％,72.22％and 80.00％in validation set,respectively.Conclusion Pituitary radiomics and MRI features combined model could effectively predict GH status in pediatric short stature.