Evaluation of G3BP1 in the prognosis of acute and acute-on-chronic liver failure after the treatment of artificial liver support system

BACKGROUND The increased expression of G3BP1 was positively correlated with the prognosis of liver failure.AIM To investigate the effect of G3BP1 on the prognosis of acute liver failure(ALF)and acute-on-chronic liver failure(ACLF)after the treatment of artificial liver support system(ALSS).METHODS A total of 244 patients with ALF and ACLF were enrolled in this study.The levels of G3BP1 on admission and at discharge were detected.The validation set of 514 patients was collected to verify the predicted effect of G3BP1 and the viability of prognosis.RESULTS This study was shown that lactate dehydrogenase(LDH),alpha-fetoprotein(AFP)and prothrombin time were closely related to the prognosis of patients.After the ALSS treatment,the patient’amount of decreased G3BP1 index in difference of G3BP1 between the value of discharge and admission(difG3BP1)<0 group had a nearly 10-fold increased risk of progression compared with the amount of increased G3BP1 index.The subgroup analysis showed that the difG3BP1<0 group had a higher risk of progression,regardless of model for end-stage liver disease high-risk or low-risk group.At the same time,compared with the inflam matory marks[tumor necrosis factor-α,interleukin(IL)-1βand IL-18],G3BP1 had higher discrimination and was more stable in the model analysis and validation set.When combined with AFP and LDH,concordance index was respectively 0.84 and 0.8 in training and validation cohorts.CONCLUSION This study indicated that G3BP1 could predict the prognosis of ALF or ACLF patients treated with ALSS.The combination of G3BP1,AFP and LDH could accurately evaluate the disease condition and predict the clinical endpoint of patients.

Nursing Care of 10 Patients with Vasovagal Reflex Caused by Artificial Liver Support System Treatment

This study outlines the essential nursing strategies employed in the care of 10 patients experiencing vascular vagal reflex, managed with artificial liver support systems. It highlights a holistic nursing approach tailored to the distinct clinical manifestations of these patients. Key interventions included early detection of psychological issues prior to initiating treatment, the implementation of comprehensive health education, meticulous monitoring of vital signs throughout the therapy, prompt emergency interventions when needed, adherence to prescribed medication protocols, and careful post-treatment observations including venous catheter management. Following rigorous treatment and dedicated nursing care, 7 patients demonstrated significant improvement and were subsequently discharged.

Past,present,and future perspectives of ultrasound-guided ablation of liver tumors:Where could artificial intelligence lead interventional oncology?

The first ablation procedures for small hepatocellular carcinomas were percutaneous ethanol injection under ultrasound(US)guidance.Later,radiofrequency ablation was shown to achieve larger coagulation areas than percutaneous ethanol injection and became the most used ablation technique worldwide.In the past decade,microwave ablation systems have achieved larger ablation areas than radiofrequency ablation,suggesting that the 3-cm barrier could be broken in the treatment of liver tumors.Likewise,US techniques to guide percutaneous ablation have seen important progress.Contrast-enhanced US(CEUS)can define and target the tumor better than US and can assess the size of the ablation area after the procedure,which allows immediate retreatment of the residual tumor foci.Furthermore,fusion imaging fuses real-time US images with computed tomography or magnetic resonance imaging with significant improvements in detecting and targeting lesions with low conspicuity on CEUS.Recently,software powered by artificial intelligence has been developed to allow three-dimensional segmentation and reconstruction of the anatomical structures,aiding in procedure planning,assessing ablation completeness,and targeting the residual viable foci with greater precision than CEUS.Hopefully,this could lead to the ablation of tumors up to 5-7 cm in size.

Drug-induced liver injury and COVID-19:Use of artificial intelligence and the updated Roussel Uclaf Causality Assessment Method in clinical practice

BACKGROUND Liver injury is a relevant condition in coronavirus disease 2019(COVID-19)inpatients.Pathophysiology varies from direct infection by virus,systemic inflammation or drug-induced adverse reaction(DILI).DILI detection and monitoring is clinically relevant,as it may contribute to poor prognosis,prolonged hospitalization and increase indirect healthcare costs.Artificial Intelligence(AI)applied in data mining of electronic medical records combining abnormal liver tests,keyword searching tools,and risk factors analysis is a relevant opportunity for early DILI detection by automated algorithms.AIM To describe DILI cases in COVID-19 inpatients detected from data mining in electronic medical records(EMR)using AI and the updated Roussel Uclaf Causality Assessment Method(RUCAM).METHODS The study was conducted in March 2021 in a hospital in southern Brazil.The NoHarm©system uses AI to support decision making in clinical pharmacy.Hospital admissions were 100523 during this period,of which 478 met the inclusion criteria.From these,290 inpatients were excluded due to alternative causes of liver injury and/or due to not having COVID-19.We manually reviewed the EMR of 188 patients for DILI investigation.Absence of clinical information excluded most eligible patients.The DILI assessment causality was possible via the updated RUCAM in 17 patients.RESULTS Mean patient age was 53 years(SD±18.37;range 22-83),most were male(70%),and admitted to the non-intensive care unit sector(65%).Liver injury pattern was mainly mixed,mean time to normalization of liver markers was 10 d,and mean length of hospitalization was 20.5 d(SD±16;range 7-70).Almost all patients recovered from DILI and one patient died of multiple organ failure.There were 31 suspected drugs with the following RUCAM score:Possible(n=24),probable(n=5),and unlikely(n=2).DILI agents in our study were ivermectin,bicalutamide,linezolid,azithromycin,ceftriaxone,amoxicillin-clavulanate,tocilizumab,piperacillin-tazobactam,and albendazole.Lack of essential clinical information excluded most patients.Although rare,DILI is a relevant clinical condition in COVID-19 patients and may contribute to poor prognostics.CONCLUSION The incidence of DILI in COVID-19 inpatients is rare and the absence of relevant clinical information on EMR may underestimate DILI rates.Prospects involve creation and validation of alerts for risk factors in all DILI patients based on RUCAM assessment causality,alterations of liver biomarkers and AI and machine learning.

Clinical impact of artificial intelligence-based solutions on imaging of the pancreas and liver

Artificial intelligence(AI)has experienced substantial progress over the last ten years in many fields of application,including healthcare.In hepatology and pancreatology,major attention to date has been paid to its application to the assisted or even automated interpretation of radiological images,where AI can generate accurate and reproducible imaging diagnosis,reducing the physicians’workload.AI can provide automatic or semi-automatic segmentation and registration of the liver and pancreatic glands and lesions.Furthermore,using radiomics,AI can introduce new quantitative information which is not visible to the human eye to radiological reports.AI has been applied in the detection and characterization of focal lesions and diffuse diseases of the liver and pancreas,such as neoplasms,chronic hepatic disease,or acute or chronic pancreatitis,among others.These solutions have been applied to different imaging techniques commonly used to diagnose liver and pancreatic diseases,such as ultrasound,endoscopic ultrasonography,computerized tomography(CT),magnetic resonance imaging,and positron emission tomography/CT.However,AI is also applied in this context to many other relevant steps involved in a comprehensive clinical scenario to manage a gastroenterological patient.AI can also be applied to choose the most convenient test prescription,to improve image quality or accelerate its acquisition,and to predict patient prognosis and treatment response.In this review,we summarize the current evidence on the application of AI to hepatic and pancreatic radiology,not only in regard to the interpretation of images,but also to all the steps involved in the radiological workflow in a broader sense.Lastly,we discuss the challenges and future directions of the clinical application of AI methods.

Application status of artificial neural network in related research of liver cancer

The overcoming of liver cancer is a major problem urgently to be solved by the World Health Organization.The emergence of precision medicine brings hope to improving the level of diagnosis and treatment of liver cancer,but it is difficult for clinicians to effectively analyze and integrate a large amount of data from multiple dimensions and angles of precision medicine,so it is difficult totthem to provide the best treatment plan for liver cancer patients.Artificial neural networks have powerful integration,analysis and autonomous learning capabilities,which can effectively improve the accuracy of diagnosis,staging,prognosis and treatment of liver cancer patients,and are of great significance to the development of precision medicine for liver cancer.Therefore,this article reviews the application status of Artificial neural networks in the field of liver cancer.

Liver volumetric and anatomic assessment in living donor liver transplantation: The role of modern imaging and artificial intelligence

The shortage of deceased donor organs has prompted the development of alternative liver grafts for transplantation.Living-donor liver transplantation(LDLT)has emerged as a viable option,expanding the donor pool and enabling timely transplantation with favorable graft function and improved long-term outcomes.An accurate evaluation of the donor liver’s volumetry(LV)and anatomical study is crucial to ensure adequate future liver remnant,graft volume and precise liver resection.Thus,ensuring donor safety and an appropriate graftto-recipient weight ratio.Manual LV(MLV)using computed tomography has traditionally been considered the gold standard for assessing liver volume.However,the method has been limited by cost,subjectivity,and variability.Automated LV techniques employing advanced segmentation algorithms offer improved reproducibility,reduced variability,and enhanced efficiency compared to manual measurements.However,the accuracy of automated LV requires further investigation.The study provides a comprehensive review of traditional and emerging LV methods,including semi-automated image processing,automated LV techniques,and machine learning-based approaches.Additionally,the study discusses the respective strengths and weaknesses of each of the aforementioned techniques.The use of artificial intelligence(AI)technologies,including machine learning and deep learning,is expected to become a routine part of surgical planning in the near future.The implementation of AI is expected to enable faster and more accurate image study interpretations,improve workflow efficiency,and enhance the safety,speed,and cost-effectiveness of the procedures.Accurate preoperative assessment of the liver plays a crucial role in ensuring safe donor selection and improved outcomes in LDLT.MLV has inherent limitations that have led to the adoption of semi-automated and automated software solutions.Moreover,AI has tremendous potential for LV and segmentation;however,its widespread use is hindered by cost and availability.Therefore,the integration of multiple specialties is necessary to embrace technology and explore its possibilities,ranging from patient counseling to intraoperative decision-making through automation and AI.

Plasma exchange-centered artificial liver support system in hepatitis B virus-related acute-onchronic liver failure:a nationwide prospective multicenter study in China

BACKGROUND： Plasma exchange （PE）-centered artificial liver support system reduced the high mortality rate of hepa titis B virus （HBV）-related acute-on-chronic liver failure （ACLF）. But the data were diverse in different medical centers. The present prospective nationwide study was to evaluate the effects of PE on patients with HBV-ACLF at different stages.

TECA hybrid artificial liver support system in treatment of acute liver failure

AIM: To assess the efficacy and safety of TECA type hybrid artificial liver support system (TECA-HALSS) in providing liver function of detoxification, metabolism and physiology by treating the patients with acute liver failure (ALF).METHODS: The porcine liver cells (1 - 2 ) x 1010 were separated from the Chinese small swine and cultured in the bioreactor of TECA-BALSS at 37.0°C and circulated through the outer space of the hollow fiber tubes in BALSS. The six liver failure patients with various degree of hepatic coma were treated by TECA-HALSS and with conventional medicines. The venous plasma of the patients was separated by a plasma separator and treated by charcoal adsorbent or plasma exchange. The plasma circulated through the inner space of the hollow fiber tubes of BALSS and mixed with the patients' blood cells and flew back to their blood circulation. Some small molecular weight substances were exchanged between theplasma and porcine liver cells. Each treatment lasted 6.0-7.0 h.Physiological and biochemical parameters were measured before, during and after the treatment.RESULTS: The average of porcine liver cells was (1.0- 3.0)x 1010 obtained from each swine liver using our modified enzymatic digestion method. The survival rate of the cells was 85% - 93% by tnypan blue stain and AO/PI fluorescent stain. After cultured in TECA-BALSS bioreactor for 6 h, the survival rate of cells still remained 70% - 85%. At the end of TECA-HALSS treatment, the levels of plasma NH3, ALT, TB and DB were significantly decreased. The patients who were in the state of drowsiness or coma before the treatment improved their appetite significantly and regained consciousness, some patients resumed light physical work on a short period after the treatment. One to two days after the treatment, the ratio of PTA increased warkedly. During the treatment, the heart rates, blood pressure, respiration condition and serum electrolytes (K+, Na+ and Cl) were stable without thrombosis and bleeding in all the six patients.CONCLUSION: TECA-HALSS treatment could be a rapid,safe and efficacious method to provide temporary liver support for patients with ALF.

Establishment of a risk assessment score for deep vein thrombosis after artificial liver support system treatment

BACKGROUND The artificial liver support system(ALSS)is an effective treatment method for liver failure,but it requires deep venous intubation and long-term indwelling catheterization.However,the coagulation mechanism disorder of basic liver failure diseases,and deep venous thrombosis(DVT)often occur.AIM To evaluate the risk factors for DVT following use of an ALSS and establish a risk assessment score.METHODS This study was divided into three stages.In the first stage,the risk factors for DVT were screened and the patient data were collected,including ALSS treatment information;biochemical indices;coagulation and hematology indices;complications;procoagulant use therapy status;and a total of 24 indicators.In the second stage,a risk assessment score for DVT after ALSS treatment was developed.In the third stage,the DVT risk assessment score was validated.RESULTS A total of 232 patients with liver failure treated with ALSS were enrolled in the first stage,including 12 with lower limb DVT.Logistic regression analysis showed that age[odds ratio(OR),1.734;P=0.01],successful catheterization time(OR,1.667;P=0.005),activity status(strict bed rest)(OR,3.049;P=0.005),and D-dimer level(≥500 ng/mL)(OR,5.532;P<0.001)were independent risk factors for DVT.We then established a scoring system for risk factors.In the validation group,a total of 213 patients with liver failure were treated with ALSS,including 14 with lower limb DVT.When the cutoff value of risk assessment was 3,the specificity and sensitivity of the risk assessment score were 88.9%and 85.7%,respectively.CONCLUSION A simple risk assessment scoring system was established for DVT patients with liver failure treated with ALSS and was verified to have good sensitivity and specificity.

Screening for metabolic dysfunction-associated fatty liver disease:Time to discard the emperor’s clothes of normal liver enzymes?

Metabolic dysfunction-associated fatty liver disease(MAFLD)is the most prevalent chronic liver condition worldwide.Current liver enzyme-based screening methods have limitations that may missed diagnoses and treatment delays.Regarding Chen et al,the risk of developing MAFLD remains elevated even when alanine aminotransferase levels fall within the normal range.Therefore,there is an urgent need for advanced diagnostic techniques and updated algorithms to enhance the accuracy of MAFLD diagnosis and enable early intervention.This paper proposes two potential screening methods for identifying individuals who may be at risk of developing MAFLD:Lowering these thresholds and promoting the use of noninvasive liver fibrosis scores.

Application of artificial intelligence in non-alcoholic fatty liver disease and viral hepatitis

Non-alcoholic fatty liver disease(NAFLD)and chronic viral hepatitis are among the most significant causes of liver-related mortality worldwide.It is critical to develop reliable methods of predicting progression to fibrosis,cirrhosis,and decompensated liver disease.Current screening methods such as biopsy and transient elastography are limited by invasiveness and observer variation in analysis of data.Artificial intelligence(AI)provides a unique opportunity to more accurately diagnose NAFLD and viral hepatitis,and to identify patients at high risk for disease progression.We conducted a literature review of existing evidence for AI in NAFLD and viral hepatitis.Thirteen articles on AI in NAFLD and 14 on viral hepatitis were included in our analysis.We found that machine learning algorithms were comparable in accuracy to current methods for diagnosis and fibrosis prediction(MELD-Na score,liver biopsy,FIB-4 score,and biomarkers).They also reliably predicted hepatitis C treatment failure and hepatic encephalopathy,for which there are currently no established prediction tools.These studies show that AI could be a helpful adjunct to existing techniques for diagnosing,monitoring,and treating both NAFLD and viral hepatitis.

Clinical use of augmented reality,mixed reality,three-dimensionalnavigation and artificial intelligence in liver surgery

A precise knowledge of intra-parenchymal vascular and biliary architecture and the location of lesions in relation to the complex anatomy is indispensable to perform liver surgery.Therefore,virtual three-dimensional(3D)-reconstruction models from computed tomography/magnetic resonance imaging scans of the liver might be helpful for visualization.Augmented reality,mixed reality and 3Dnavigation could transfer such 3D-image data directly into the operation theater to support the surgeon.This review examines the literature about the clinical and intraoperative use of these image guidance techniques in liver surgery and provides the reader with the opportunity to learn about these techniques.Augmented reality and mixed reality have been shown to be feasible for the use in open and minimally invasive liver surgery.3D-navigation facilitated targeting of intraparenchymal lesions.The existing data is limited to small cohorts and description about technical details e.g.,accordance between the virtual 3D-model and the real liver anatomy.Randomized controlled trials regarding clinical data or oncological outcome are not available.Up to now there is no intraoperative application of artificial intelligence in liver surgery.The usability of all these sophisticated image guidance tools has still not reached the grade of immersion which would be necessary for a widespread use in the daily surgical routine.Although there are many challenges,augmented reality,mixed reality,3Dnavigation and artificial intelligence are emerging fields in hepato-biliary surgery.

Prognosis of acute-on-chronic liver failure patients treated with artificial liver support system

AIM: To establish a new model for predicting survival in acute-on-chronic liver failure(ACLF) patients treated with an artificial liver support system. METHODS: One hundred and eighty-one ACLF patients who were admitted to the hospital from January 1, 2012 to December 31, 2014 and were treated with an artificial liver support system were enrolled in this retrospective study, including a derivation cohort(n = 113) and a validation cohort(n = 68). Laboratory parameters at baseline were analyzed and correlatedwith clinical outcome. In addition to standard medical therapy, ACLF patients underwent plasma exchange(PE) or plasma bilirubin adsorption(PBA) combined with plasma exchange. For the derivation cohort, KaplanMeier methods were used to estimate survival curves, and Cox regression was used in survival analysis to generate a prognostic model. The performance of the new model was tested in the validation cohort using a receiver-operator curve.RESULTS: The mean overall survival for the derivation cohort was 441 d(95%CI: 379-504 d), and the 90- and 270-d survival probabilities were 70.3% and 58.3%, respectively. The mean survival times of patients treated with PBA plus PE and patients treated with PE were 531 d(95%CI: 455-605 d) and 343 d(95%CI: 254-432 d), respectively, which were significantly different(P = 0.012). When variables with bivariate significance were selected for inclusion into the multivariate Cox regression model, number of complications, age, scores of the model for end-stage liver disease(MELD) and type of artificial liver support system were defined as independent risk factors for survival in ACLF patients. This new prognostic model could accurately discriminate the outcome of patients with different scores in this cohort(P < 0.001). The model also had the ability to assign a predicted survival probability for individual patients. In the validation cohort, the new model remained better than the MELD.CONCLUSION: A novel model was constructed to predict prognosis and accurately discriminate survival in ACLF patients treated with an artificial liver support system.

Major liver resections,perioperative issues and posthepatectomy liver failure:A comprehensive update for the anesthesiologist

Significant advances in surgical techniques and relevant medium-and long-term outcomes over the past two decades have led to a substantial expansion in the indications for major liver resections.To support these outstanding results and to reduce perioperative complications,anesthesiologists must address and master key perioperative issues(preoperative assessment,proactive intraoperative anesthesia strategies,and implementation of the Enhanced Recovery After Surgery approach).Intensive care unit monitoring immediately following liver surgery remains a subject of active and often unresolved debate.Among postoperative complications,posthepatectomy liver failure(PHLF)occurs in different grades of severity(A-C)and frequency(9%-30%),and it is the main cause of 90-d postoperative mortality.PHLF,recently redefined with pragmatic clinical criteria and perioperative scores,can be predicted,prevented,or anticipated.This review highlights:(1)The systemic consequences of surgical manipulations anesthesiologistsmust respond to or prevent,to positively impact PHLF(a proactive approach);and(2)the maximal intensivetreatment of PHLF,including artificial options,mainly based,so far,on Acute Liver Failure treatment(s),to buytime waiting for the recovery of the native liver or,when appropriate and in very selected cases,toward livertransplant.Such a clinical context requires a strong commitment to surgeons,anesthesiologists,and intensivists towork together,for a fruitful collaboration in a mandatory clinical continuum.

Predicting liver function after hemihepatectomy in patients with hepatocellular carcinoma using different modalities

In response to Dr.Yue et al's study on prognostic factors for post-hemihep-atectomy outcomes in hepatocellular carcinoma(HCC)patients,this critical review identifies methodological limitations and proposes enhancements for future research.While the study identifies liver stiffness measure and standard residual liver volume as potential predictors,concerns regarding small sample size,reliance on biochemical markers for safety assessment,and inadequate ad-justment for confounding variables are raised.Recommendations for rigorous methodology,including robust statistical analysis,consideration of confounding factors,and selection of outcome measures with clinical components,are proposed to strengthen prognostic assessments.Furthermore,validation of novel evaluation models is crucial for enhancing clinical applicability and advancing understanding of postoperative outcomes in patients with HCC undergoing hem-ihepatectomy.

Pediatric and adult liver transplantation in Bahrain: The experiences in a country with no available liver transplant facilities

BACKGROUND Liver transplantation(LT)is a life-saving procedure for patients with end-stage liver disease and has become the standard and most effective treatment method for these patients.There are many indications for LT that vary between countries and settings.The outcome of LT depends on the available facilities and surgical expertise,as well as the types of liver graft donors available.AIM To assess the clinical characteristics of patients from Bahrain who underwent LT overseas,and analyze factors affecting their survival.METHODS In this retrospective cohort study,we reviewed the medical records and overseas committee registry information of all pediatric and adult patients who were sent overseas to undergo LT by the Pediatric and Medical Departments of Salmaniya Medical Complex and Bahrain Defence Force Hospital via the Overseas Treatment Office,Ministry of Health,Kingdom of Bahrain,between 1997 and 2023.Demographic data,LT indication,donor-recipient relationship,overseas LT center,graft type,post-LT medications,and LT complications,were collected.Outcomes measured included the overall and 5-year LT survival rate.Fisher’s exact,Pearsonχ2,and Mann-Whitney U tests were used to compare the pediatric and the adults’group in terms of clinical characteristics,donor-recipient relationship,medication,complications,and outcome.Survival analysis was estimated via the Kaplan-Meier’s method.Univariate and multivariate analyses were used to detect predictors of survival.RESULTS Of the 208 eligible patients,170(81.7%)were sent overseas to undergo LT while 38(18.3%)remained on the waiting list.Of the 170 patients,167(80.3%)underwent LT and were included in the study.The majority of the patients were Bahraini(91.0%),and most were males(57.5%).One-hundred-and-twenty(71.8%)were adults and 47(28.3%)were children.The median age at transplant was 50.0[interquartile range(IQR):14.9–58.4]years.The main indication for pediatric LT was biliary atresia(31.9%),while that of adult LT was hepatitis C-related cirrhosis(35.0%).Six(3.6%)patients required re-transplantation.Most patients received a living-related liver graft(82%).Pediatric patients received more living and related grafts than adults(P=0.038 and P=0.041,respectively),while adult patients received more cadaveric and unrelated grafts.Most patients required long-term immunosuppressive therapy after LT(94.7%),of which tacrolimus was the most prescribed(84.0%),followed by prednisolone(50.7%),which was prescribed more frequently for pediatric patients(P=0.001).Most patients developed complications(62.4%)with infectious episodes being the most common(38.9%),followed by biliary stricture(19.5%).Tonsilitis and sepsis(n=12,8.1%for each)were the most frequent infections.Pediatric patients experienced higher rates of infection,rejection,and early poor graft function than adult patients(P<0.001,P=0.003,and P=0.025,respectively).The median follow-up time was 6.5(IQR:2.6–10.6)years.The overall survival rate was 84.4%,the 5-year survival rate,86.2%,and the mortality rate,15.6%.Younger patients had significantly better odds of survival(P=0.019)and patients who survived had significantly longer follow-up periods(P<0.001).CONCLUSION Patients with end-stage liver disease in Bahrain shared characteristics with those from other countries.Since LT facilities are not available,an overseas LT has offered them great hope.

Endoscopic ultrasound-guided tissue acquisition for the diagnosis of focal liver lesion

In patients with liver tumors,the histopathology examination can assist in diagnosis,staging,prognosis,and therapeutic management strategy.Endoscopic ultrasound(EUS)-guided tissue acquisition using fine needle aspiration(FNA)or more newly fine needle biopsy(FNB)is a well-developed technique in order to evaluate and differentiate the liver masses.The goal of the EUS-FNA or EUS-FNB is to provide an accurate sample for a histopathology examination.Therefore,malignant tumors such as hepatocarcinoma,cholangiocarcinoma and liver metastasis or benign tumors such as liver adenoma,focal hyperplastic nodular tumors and cystic lesions can be accurately diagnosed using EUS-guided tissue acquisition.EUS-FNB using 19 or 22 Ga needle provide longer samples and a higher diagnostic accuracy in patients with liver masses when compared with EUS-FNA.Few data are available on the diagnostic accuracy of EUS-FNB when compared with percutaneously,ultrasound,computer tomography or transjugulary-guided liver biopsies.This review will discuss the EUS-guided tissue acquisition options in patients with liver tumors and its efficacy and safety in providing accurate samples.The results of the last studies comparing EUS-guided liver biopsy with other conventional techniques are presented.The EUS-guided tissue acquisition using FNB can be a suitable technique in suspected liver lesions in order to provide an accurate histopathology diagnosis,especially for those who require endoscopy.

Liver transplantation and artificial liver support in fulminant hepatic failure

INTRODUCTIONFulminant hepatic failure(FHF)is a severe disease with devastating consequences;the incidence is high in China.Before the availability of liver transplantation,the mortality rate was more than 80%[1,2].The advent of liver transplantation revolutionized the outcome of FHF[3,4].However,many patients were unwilling to accept liver transplantation until very late,hence most of them died because of donor shortage and urgency of the disease[5-7],To overcome he problems,we performed orthotopic liver transplantation(OLT)in combination with artificial liver support(ALS) in the treatment of FHF in the past 2 years with satisfactory results.Our experience was reported below.