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.

Objective To analyze the practical value of spiral CT three-dimensional reconstruction techniquein evaluating triplane fractures of the distal tibia.Methods A retrospective analysis was conducted on183 patients with triplane fractures of the distal tibia admitted to Sichuan Orthopedic Hospital from January 2021 to March 2023.All patients underwent both X-ray and spiral CT examinations.Taking surgical reduction results as the gold standard for diagnosis,the diagnostic accuracies of X-ray examination and spiral CT three-dimensional reconstruction technique for triplane fractures of the distal tibia were analyzed.Results Fracture classification according to the number of fracture fragments showed that among the 183 patients with triplane fractures of the distal tibial,there were 44 cases of four-part fractures,62 cases of three-part fractures,and 77 cases of two-part fractures.The classification by the location of epiphyseal injury in the distal tibia showed 175 cases of lateral type and 8 cases of medial type.According to whether the fracture line involved the articular surface,they were categorized into 94 cases of type I,60 cases of type II,and 29 cases of type III.For the classification of the number of fracture fragments,X-ray misdiagnosed 9 cases of four-part fractures as three-part or two-part fractures,and 21 cases of three-part fractures as two-part fractures,resulting in a diagnostic accuracy of 83.60%.For theclassification of fracture line and articular surface position,X-ray led to misdiagnosis or inaccurate diagnosis in 39 cases,with a diagnostic accuracy of 78.69%.When spiral CT three-dimensional reconstruction technique was used to classify the number of fracture fragments,only 1 case of four-part fracture was misdiagnosed as three-part fracture,and 2 cases of three-part fractures were misdiagnosed as four-part fractures or two-part fractures,yielding a diagnostic accuracy of 98.36%.For the diagnosis of the positional relationship of the fracture line to the articular surface,spiral CT three-dimensional reconstruction technique had 8 misdiagnoses,with a corresponding diagnostic accuracy of 95.63%.Conclusion Spiral CT three-dimensional reconstruction technique can stereoscopically display the spatial information of the triplane fractures of the distal tibia,such as the location,shape,type,and articular surface,exhibiting high accuracy for classification diagnosis and significant application value in the reduction and treatment of triplane fractures of the distal tibia.

Objective:To establish a mouse model of liver cancer resistant to PD-1 monoclonal antibody and analyze the changes in its metabolomics to explore the potential mechanism of drug resistance.Methods:BALB/c mice were randomly divided into control and treatment groups after being loaded with tumor,and a normal group was additionally set up.The normal and control groups were injected with saline,and the treatment group was injected with PD-1 monoclonal antibody,after which the mice in the treatment group were screened for drug resistant and response groups.Observed the drug-resistant situation,body mass,tumor growth and survival rate of mice in each group,calculate the spleen index.The pathological features of tumor tissues were observed by HE staining method.Serum metabolites were detected by non-targeted metabolomics.Finally,a bivariate Pearson correlation analysis was conducted between the differential serum metabolites and tumor size.Results:The tumor-bearing mouse model with PD-1 monoclonal antibody resistance was successfully established,and the drug resistance rate of the mice was 50％.Compared with the normal and response groups,mice in the resistant group showed an increase in body weight,a significant increase in tumor volume,a decrease in survival rate,and a significant increase in splenic index.There was less lymphocyte infiltration in the tumor tissue.Metabolomics analysis showed that the serum levels of glutamic acid and aspartic acid increased and malic acid decreased in the resistant mice compared with the response group,and these changes were closely related to the arginine biosynthesis pathway.Conclusions:The tumor-bearing mouse model with PD-1 monoclonal antibody resistance was successfully established.The changes in its peripheral serum metabolomics mainly involve arginine metabolism and the related changes of aspartate,malate and glutamate.

Constipation is a common functional gastrointestinal disorder with a global prevalence of approximately 10％to 20％.Its causes include functional disorders,organic diseases,and drug factors,with the majority being functional constipation.In recent years,driven by advancements in biomedicine,artificial intelligence(AI),and microbiome research,significant progress has been made in the diagnosis and treatment of constipation.This review systematically explores the latest developments in constipation treatment,including the role of the gut microbiota in constipation,the metabolic regulatory effects of short-chain fatty acids(SCFAs),the impact of mental factors on intestinal motility.Additionally,it discusses future development directions such as AI-assisted diagnosis,AI-based consultation systems,personalized microbiota transplantation,and minimally invasive neuromodulation,providing new insights for precision medicine in constipation.

Objective To construct radiomics-semantic models to predict the treatment resistance of chemoradiotherapy in brain gliomas based on MRI and clinical data of multicenter patients.Methods Among 2 108 brain gliomas patients from five medical institutions,132 patients had residual gliomas after surgery.The clinical risk factors and multimodal MRI were collected.All patients were divided into training set(n=95)and validation set(n=37).The treatment response of gliomas after standardized chemoradiotherapy were divided into resistant and non-resistant types.The semantic features of MRI were evaluated by two radiologists.Three different segmentation regions of interest(ROI)were delineated to extract radiomics features.And that three groups of radiomics models were con-structed based on different sequence MRIs.The radiomics model with the best predictive efficacy in each group was selected and combined with MRI semantic features,three radiomics-semantic models(combined models)were established.Finally,a MRI semantic model,three groups of radiomics models and three combined models were developed.Results Comparisons between the different models showed that the radiomics-semantic model based on pre-operative T2-fluid attenuated inversion recovery(FLAIR)sequence,had the best predictive efficacy,the area under the curve(AUC)in the training and validation sets were 0.866[95％confidence interval(CI)0.790-0.942]and 0.810(95％CI 0.667-0.952),respectively.The radiomics-semantic model based on postoperative T1 WI sequence performed the second best,with the AUC of the training and validation sets being 0.812(95％CI 0.726-0.898)and 0.711(95％CI 0.541-0.881),respectively.Conclusion The combined models based on MRI radiomics and semantic features are able to predict the treatment resistance of chemoradiotherapy in brain gliomas patients,and may be used as an important basis for optimizing treatment.

Aim To explore the mechanism by which the compound Chaijin Jieyu formula(CCJJY)regulates the TLR4/NLRP3 signaling pathway to inhibit central oxidative stress and improve hippocampal synaptic plasticity damage in depression.Methods SD rats were randomly divided into the control group,chronic unpredictable mild stress group,sleep deprivation group,chronic unpredictable mild stress combined with sleep deprivation group,positive drug group(venlafax-ine+melatonin),low-dose group of CCJJY,medium dose group of CCJJY,and high-dose group of CCJJY,with nine rats in each group.Except for the control group,a rat model of depression complicated with in-somnia was established using chronic unpredictable mild stress combined with sleep deprivation.Depres-sion-like and sleep behaviors in rats were evaluated through weight,food intake,water maze,and pento-barbital sodium tests.ELisa was used to detect ROS,AANAT,and HPLC-EC was used to detect 5-HT con-tent,while Western blot/RT-PCR was used to detect the expression of IL-1β,TLR4,NLRP3,PSD-95,and SYN related proteins and mRNA.HE and Golgic stai-ning were used to observe the pathological changes in the third ventricle,hippocampus,and neuronal synap-ses.Results Compared with the control group,the depression-like behaviors of the model group rats were significant.The expression of IL-1β,TLR4,and NL-RP3 in the hippocampus increased,while the expres-sion of PSD-95 and SYN decreased.Activation of NL-RP3 inflammasomes led to "sleeve like" pathological changes in the third ventricle,with hippocampal neu-rons undergoing apoptosis and significant damage to neuronal synaptic plasticity.Compared with the model group,after intervention with CCJJY,the expression of ROS,IL-1β,TLR4,and NLRP3 decreased,while the expression of AANAT,5-HT,PSD-95,and SYN in-creased.Pathological damage to the third ventricle and hippocampal neurons was repaired.Conclusion The CCJJY improves hippocampal synaptic plasticity dam-age in depression by regulating the TLR4/NLRP3 sig-naling pathway to inhibit central oxidative stress.

In recent years,the incidence and mortality rates of hepatocellular carcinoma in China have gradually become close to each other,reflecting persistent limitations in current diagnostic and therapeutic strategies.Given the close association between hepatocellular carcinoma development and the progression of precancerous lesions,the expert panel released the first edition of the Multidisciplinary Experts Consensus on Diagnosis and Treatment of Precancerous Lesions of Hepatocellular Carcinoma in 2020 and updated it in 2023,aiming to advance early-intervention strategies and improve overall patient survival rates.This article provides an in-depth interpretation of the key imaging diagnostic points outlined in the consensus,aiming to offer radiologists at all levels with a robust reference for early identification and diagnosis of hepatocellular carcinoma precancerous lesions,thereby facilitating critical support for timely patient intervention and treatment.

As a globally prevalent malignancy with high morbidity and mortality rates,hepatocellular carcinoma has demonstrated significant potential in prognostic prediction and therapeutic evaluation through its imaging manifestations.This article focuses on the potential correlations between current imaging characteristics of hepatocellular carcinoma and its prognosis,emphasizing the importance of adopting and promoting a standardized imaging terminology system.It illustrates specific examples of imaging features associated with prognosis,reviews recent research hotspots and advancements in hepatocellular carcinoma prognosis.The aim is to offer precise prognostication,diagnosis and treatment strategies for patients with hepatocellular carcinoma.

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.

Objective To investigate the mechanism of action of the nuclear factor erythroid 2-related factor 2(Nrf2)/solute carrier family 7 member 11(SLC7A11)/glutathione peroxidase 4(GPX4)signaling pathway in non-alcoholic fatty liver disease(NAFLD),and to explore the mechanism of Gegen QinLian Decoction for the treatment of NAFLD,using in vivo and in vitro experiments.Methods Rats were fed with high-fat chow for 24 weeks to induce NAFLD,and were then divided randomly into normal(C),model(M),high-,medium-,and low-dose Gegen QinLian Decoction(GGQLT-H,GGQLT-M,GGQLT-L),and metformin(Met)groups.From week 25 onwards,the rats were administered the corresponding drugs by gavage for 2 weeks according to the grouping,until sampling.Levels of the oxidative stress markers malondialdehyde(MDA)and glutathione(GSH)in the liver tissues were measured in each group using biochemical kits and ferrous iron(Fe2+)in rat liver tissues was detected using a Fe2+kit.Nrf2,heme oxygenase-1(HO-1),SLC7A11,glutathione synthetase(GSS),GPX4,and acyl coenzyme A synthetase 4(ACSL4)mRNA levels in rat liver tissues were measured by reverse transcription quantitative polymerase chain reaction.For cellular experiments lipid acc umulation was induced in HepG2 hepatocellular carcinoma cells using 1 mmol/L free fatty acid,to mimic the NAFLD in vitro model.Different concentrations of Gegen QinLian Decoction and metformin-containing serum were added for treatment.Lipid accumulation was detected in the cells in each group by Oil red O staining.The MDA and GSH contents of HepG2 cells in the different groups were determined using appropriate kits,and the ferrous contents were detected using a cell-specific ferrous kit.Expression levels of Nrf2,HO-1,SLC7A11,GSS,GPX4,and ACSL4 mRNA was detected in each group of cells using reverse transcription quantitative polymerase chain reaction.Results In the animal experiments,MDA and Fe2+liver levels were significantly higher in the M group than in the C group,while GSH levels were significantly lower(P＜0.01).GGQLT-H,GGQLT-M and Met groups showed significantly reduced MDA and Fe2+and elevated GSH levels compared with the M group(P＜0.01,P＜0.05).High-and medium-dose Gegen QinLian Decoction and metformin increased Nrf2,HO-1,GSS,and GPX4 mRNA and decreased ACSL4 mRNA expression levels(P＜0.01,P＜0.05).In cellular experiments,lipid droplets were significantly increased in the HepG2 cell M group compared with those in the C group,and lipid droplets were significantly reduced by Gegen QinLian Decoction and metformin.MDA and Fe2+levels were significantly increased and GSH levels were significantly decreased in the HepG2 M group compared with the levels in the C group(P＜0.01),while all doses of Gegen QinLian Decoction and metformin significantly decreased MDA and Fe2+levels(P＜0.01)and increased the GSH content(P＜0.01,P＜0.05).Nrf2,GSS,GPX4,and SLC7A11 mRNA expression levels in the GGQLT-H group,Nrf2,HO-1,and SLC7A11 in the GGQLT-L group,HO-1,SLC7A11,and GSS in the GGQLT-M group,and GSS,Nrf2,and HO-1 in the Met group were all significantly increased compared with the findings in the M group(P＜0.01,P＜0.05).ACSL4 mRNA expression levels were significantly decreased in the GGQLT-M and GGQLT-L groups and the Met group(P＜0.01,P＜0.05).Conclusions Gegen QinLian Decoction can improve NAFLD by inhibiting ferroptosis,and its mechanism may he related to regulation of the Nrf2/SLC7A 11/GPX4 signaling pathway.