INTRODUCTION: Ultrasonography (US) is the current standard of care for imaging surveillance in patients at risk of hepatocellular carcinoma (HCC). Magnetic resonance imaging (MRI) has been explored as an alternative, given the higher sensitivity of MRI, although this comes at a higher cost. We performed a cost-effective analysis comparing US and dual-sequence non-contrast-enhanced MRI (NCEMRI) for HCC surveillance in the local setting. METHODS: Cost-effectiveness analysis of no surveillance, US surveillance and NCEMRI surveillance was performed using Markov modelling and microsimulation. At-risk patient cohort was simulated and followed up for 40 years to estimate the patients' disease status, direct medical costs and effectiveness. Quality-adjusted life years (QALYs) and incremental cost-effectiveness ratio were calculated. RESULTS: Exactly 482,000 patients with an average age of 40 years were simulated and followed up for 40 years. The average total costs and QALYs for the three scenarios - no surveillance, US surveillance and NCEMRI surveillance - were SGD 1,193/7.460 QALYs, SGD 8,099/11.195 QALYs and SGD 9,720/11.366 QALYs, respectively. CONCLUSION Despite NCEMRI having a superior diagnostic accuracy, it is a less cost-effective strategy than US for HCC surveillance in the general at-risk population. Future local cost-effectiveness analyses should include stratifying surveillance methods with a variety of imaging techniques (US, NCEMRI, contrast-enhanced MRI) based on patients' risk profiles.
Humans ; Adult ; Carcinoma, Hepatocellular/diagnostic imaging* ; Liver Neoplasms/diagnostic imaging* ; Cost-Effectiveness Analysis ; Cost-Benefit Analysis ; Quality-Adjusted Life Years ; Magnetic Resonance Imaging/methods*

OBJECTIVE: To investigate a new noninvasive diagnostic model for nonalcoholic fatty liver disease (NAFLD) based on features of tongue images. METHODS: Healthy controls and volunteers confirmed to have NAFLD by liver ultrasound were recruited from China-Japan Friendship Hospital between September 2018 and May 2019, then the anthropometric indexes and sampled tongue images were measured. The tongue images were labeled by features, based on a brief protocol, without knowing any other clinical data, after a series of corrections and data cleaning. The algorithm was trained on images using labels and several anthropometric indexes for inputs, utilizing machine learning technology. Finally, a logistic regression algorithm and a decision tree model were constructed as 2 diagnostic models for NAFLD. RESULTS: A total of 720 subjects were enrolled in this study, including 432 patients with NAFLD and 288 healthy volunteers. Of them, 482 were randomly allocated into the training set and 238 into the validation set. The diagnostic model based on logistic regression exhibited excellent performance: in validation set, it achieved an accuracy of 86.98%, sensitivity of 91.43%, and specificity of 80.61%; with an area under the curve (AUC) of 0.93 [95% confidence interval (CI) 0.68-0.98]. The decision tree model achieved an accuracy of 81.09%, sensitivity of 91.43%, and specificity of 66.33%; with an AUC of 0.89 (95% CI 0.66-0.92) in validation set. CONCLUSIONS The features of tongue images were associated with NAFLD. Both the 2 diagnostic models, which would be convenient, noninvasive, lightweight, rapid, and inexpensive technical references for early screening, can accurately distinguish NAFLD and are worth further study.
Humans ; Non-alcoholic Fatty Liver Disease/diagnostic imaging* ; Ultrasonography ; Anthropometry ; Algorithms ; China

Hepatocellular carcinoma (HCC) is one of the most common malignancies and is a major cause of cancer-related mortalities worldwide (Forner et al., 2018; He et al., 2023). Sarcopenia is a syndrome characterized by an accelerated loss of skeletal muscle (SM) mass that may be age-related or the result of malnutrition in cancer patients (Cruz-Jentoft and Sayer, 2019). Preoperative sarcopenia in HCC patients treated with hepatectomy or liver transplantation is an independent risk factor for poor survival (Voron et al., 2015; van Vugt et al., 2016). Previous studies have used various criteria to define sarcopenia, including muscle area and density. However, the lack of standardized diagnostic methods for sarcopenia limits their clinical use. In 2018, the European Working Group on Sarcopenia in Older People (EWGSOP) renewed a consensus on the definition of sarcopenia: low muscle strength, loss of muscle quantity, and poor physical performance (Cruz-Jentoft et al., 2019). Radiological imaging-based measurement of muscle quantity or mass is most commonly used to evaluate the degree of sarcopenia. The gold standard is to measure the SM and/or psoas muscle (PM) area using abdominal computed tomography (CT) at the third lumbar vertebra (L3), as it is linearly correlated to whole-body SM mass (van Vugt et al., 2016). According to a "North American Expert Opinion Statement on Sarcopenia," SM index (SMI) is the preferred measure of sarcopenia (Carey et al., 2019). The variability between morphometric muscle indexes revealed that they have different clinical relevance and are generally not applicable to broader populations (Esser et al., 2019).
Humans ; Aged ; Sarcopenia/diagnostic imaging* ; Carcinoma, Hepatocellular/diagnostic imaging* ; Muscle, Skeletal/diagnostic imaging* ; Deep Learning ; Prognosis ; Radiomics ; Liver Neoplasms/diagnostic imaging* ; Retrospective Studies

Objective To explore the optimal parameters for virtual mono-energetic imaging of liver solid lesions. Methods A retrospective analysis was performed on 60 patients undergoing contrast-enhanced spectral CT of the abdomen.The iodine concentration values of hepatic arterial phase images and the CT values of different mono-energetic images were measured.The correlation coefficient and coefficient of variation were calculated. Results The average correlation coefficients between iodine concentrations and CT values of hepatic solid lesion images at 40,45,50,55,60,65,and 70 keV were 0.996,0.995,0.993,0.989,0.978,0.970,and 0.961,respectively.The correlation coefficients at 40(P=0.007),45(P=0.022),50 keV (P=0.035)were higher than that at 55 keV,and the correlation coefficients at 40 keV(P=0.134) and 45 keV(P=0.368) had no significant differences from that at 50 keV.The coefficients of variation of the CT values at 40,45,and 50 keV were 0.146,0.154,and 0.163,respectively. Conclusion The energy of 40 keV is optimal for virtual mono-energetic imaging of liver solid lesions in the late arterial phase,which is helpful for the diagnosis of liver diseases.
Humans ; Tomography, X-Ray Computed ; Retrospective Studies ; Abdomen ; Iodine ; Liver/diagnostic imaging* ; Signal-To-Noise Ratio ; Radiographic Image Interpretation, Computer-Assisted/methods*

Objective To evaluate the performance of contrast-enhanced ultrasound (CEUS) liver imaging reporting and data system (LI-RADS) LR-5 in the diagnosis of hepatocellular carcinoma (HCC). Methods The clinical research reports with the application of CEUS LI-RADS in the diagnosis of HCC were collected from PubMed,Embase,Cochrane Library,CNKI,and Wanfang Data from inception to November 14,2021.Two researchers respectively screened the literature and extracted relevant information.The Quality Assessment of Diagnostic Accuracy Studies (QUADAS) was used to evaluate the quality of all the included articles.RevMan 5.4,Meta disc 1.4,and Stata 16.0 were employed to analyze the diagnostic performance of LR-5 for HCC in high-risk patients. Results Twenty original studies were included,involving a total of 6131 lesions,of which 5142 were HCC.The results of meta-analysis showed that the LR-5 in CEUS LI-RADS for diagnosing HCC in the high-risk population had the overall sensitivity of 0.72 (95%CI=0.66-0.77),the overall specificity of 0.93 (95%CI=0.87-0.96),the overall positive likelihood ratio of 9.89 (95%CI=5.31-18.41),the overall negative likelihood ratio of 0.30 (95%CI=0.25-0.37),and the area under the summary receiver operating characteristic curve of 0.88 (95%CI=0.85-0.91).There was heterogeneity among the included studies (I²=95.31,P<0.001).The funnel plot indicated the existence of publication bias (P=0.04). Conclusion The CEUS LI-RADS can effectively diagnose HCC in high-risk patients based on the LR-5 criteria.
Humans ; Carcinoma, Hepatocellular/diagnostic imaging* ; Liver Neoplasms/diagnostic imaging* ; Diagnostic Imaging ; Ultrasonography

Hepatocelluar carcinoma presenting as a biliary duct tumor thrombus is a relatively rare entity, with poor prognosis. The primary clinical manifestation of this disease is obstructive jaundice, which can often be misdiagnosed. A 59-year-old female patient was admitted with sudden onset of abdominal pain. Laboratory tests suggested obstructive jaundice, and enhanced magnetic resonance imaging of the upper abdomen did not show obvious biliary dilatation. Endoscopic ultrasound and endoscopic retrograde cholangiopancreatography suggested an occupying lesion in the upper bile duct. SpyGlass and biopsy finally confirmed hepatocellular carcinoma with right hepatic duct tumor thrombus hemorrhage. The SpyGlass Direct Visualization System, as an advanced biliary cholangioscopy device, showed the advantages of single-person operation as well as easy access to and visualization of the lesion.
Female ; Humans ; Middle Aged ; Carcinoma, Hepatocellular/diagnostic imaging* ; Jaundice, Obstructive/etiology* ; Liver Neoplasms/diagnostic imaging* ; Hepatic Duct, Common/pathology* ; Thrombosis/complications* ; Hemorrhage/complications*

Chronic hepatitis B is a common chronic inflammatory disease of the liver in China that frequently results in sustained damage to the liver parenchyma, followed by liver fibrosis, and ultimately progresses to unfavorable outcomes such as cirrhosis, liver failure, and liver cancer. Liver fibrosis reversal can be achieved through early and effective intervention. Therefore, timely and accurate assessment of the degree of liver fibrosis is of great clinical significance for the treatment and prognosis assessment of patients with chronic hepatitis B. MRI plays a crucial role in the early assessment and monitoring of the therapeutic efficacy of liver fibrosis in chronic hepatitis B. Currently, there is a lack of uniform consensus on MRI scanning protocols and related diagnostic thresholds for liver fibrosis in chronic hepatitis B, which is not conducive to practical clinical evaluation and application. This expert consensus is based on a full review of relevant domestic and international literature and the formulation of methodologies based on evidence-based medical guidelines and standards to develop recommendations for MRI scanning techniques and the diagnosis of liver fibrosis in chronic hepatitis B, with a view to providing a clear basis for the clinical diagnosis.
Humans ; Hepatitis B, Chronic/drug therapy* ; Consensus ; Liver Cirrhosis/diagnosis* ; Liver/diagnostic imaging* ; Magnetic Resonance Imaging/methods*

Objective To investigate the performance of the combined model based on both clinicopathological features and CT texture features in predicting liver metastasis of high-risk gastrointestinal stromal tumors(GISTs). Methods The high-risk GISTs confirmed by pathology from January 2015 to December 2020 were analyzed retrospectively,including 153 cases from the Cancer Hospital of the University of Chinese Academy of Sciences and 51 cases from the Shaoxing Central Hospital.The cases were randomly assigned into a training set(n=142)and a test set(n=62)at a ratio of 7∶3.According to the results of operation or puncture,they were classified into a liver metastasis group(76 cases)and a non-metastasis group(128 cases).ITK-SNAP was employed to delineate the volume of interest of the stromal tumors.Least absolute shrinkage and selection operator(LASSO)was employed to screen out the effective features.Multivariate logistic regression was adopted to construct the models based on clinicopathological features,texture features extracted from CT scans,and the both(combined model),respectively.Receiver operating characteristic(ROC)curve and calibration curve were established to evaluate the predictive performance of the models.The area under the curve(AUC)was compared by Delong test. Results Body mass index(BMI),tumor size,Ki-67,tumor occurrence site,abdominal mass,gastrointestinal bleeding,and CA125 level showed statistical differences between groups(all P<0.05).A total of 107 texture features were extracted from CT images,from which 13 and 7 texture features were selected by LASSO from CT plain scans and CT enhanced scans,respectively.The AUC of the prediction with the training set and the test set respectively was 0.870 and 0.855 for the model based on clinicopathological features,0.918 and 0.836 for the model based on texture features extracted from CT plain scans,0.920 and 0.846 for the model based on texture features extracted from CT enhanced scans,and 0.930 and 0.889 for the combined model based on both clinicopathological features and texture features extracted from CT plain scans.Delong test demonstrated no significant difference in AUC between the models based on the texture features extracted from CT plain scans and CT enhanced scans(P=0.762),whereas the AUC of the combined model was significantly different from that of the clinicopathological feature-based model and texture feature-based model(P=0.001 and P=0.023,respectively). Conclusion Texture features extracted from CT plain scans can predict the liver metastasis of high-risk GISTs,and the model established with clinicopathological features combined with CT texture features has best prediction performance.
Gastrointestinal Stromal Tumors/diagnostic imaging* ; Humans ; Liver Neoplasms/diagnostic imaging* ; ROC Curve ; Retrospective Studies ; Tomography, X-Ray Computed/methods*

Objective: To evaluate the efficacy, establish a diagnostic model, and value of ultrasound attenuation parameters (UAP) to diagnose hepatic steatosis in metabolic dysfunction-associated fatty liver disease (MAFLD) and its relevant disorders. Methods: 3770 cases were selected from the Health Examination Center of the Third Hospital of Hebei Medical University between October to December 2020. MAFLD diagnosis was based on the Asia-Pacific region MAFLD clinical diagnosis and treatment guidelines. The degree of hepatic steatosis was divided into mild, moderate and severe according to ultrasound imaging. UAP, clinical characteristic indexes, serum biochemical indexes, characteristics of hepatic steatosis and related factors were compared and analyzed in MAFLD patients and healthy controls. Logistic regression method was used to analyze the independent risk factors affecting the progression of hepatic steatosis in MAFLD to establish the diagnostic model. The clinical efficacy of UAP and the new model in diagnosing MAFLD was evaluated by the receiver operating characteristic curve (ROC). One-way ANOVA was used to compare means among multiple groups. Mann-Whitney U test was used to compare non-normally distributed measurement data between the two groups, and rank-sum test was used to compare multiple groups. χ² test was used to compare count data between groups. Results: Among the 3 770 cases, 650 were MAFLD, with a prevalence rate of 17.24%, and the highest prevalence was 37.23% in the age group of 60-69. The prevalence rate was significantly higher in male than female (30.34% vs. 9.17%). Age-sex analysis showed that the prevalence rate in males aged 30-69 years was 38.26%, and that in females aged over 60 years was 31.94%. UAP was significantly higher in patients with MAFLD than healthy controls (278.55 dB/m vs. 220.90 dB/m, Z=-12.592, P＜0.001), and an increasing trend with increased degree of hepatic steatosis (mild:257.20 dB/m, moderate:286.20 dB/m, and severe: 315.00 dB/m) were observed. The cut-off values of UAP for the diagnosis of mild, moderate and severe hepatic steatosis were 243≤UAP＜258 dB/m, 258≤UAP＜293 dB/m, ≥293 dB/m in MAFLD. The sensitivity and specificity were 67.20%, 93.60%, 95.90%, and 82.10%, 72.00%, and 84.80%, respectively. UAP, alanine aminotransferase and fasting blood glucose were independent risk factors for the progression of hepatic steatosis in MAFLD. The combined MAFLD classification model (UAG model) was established. The AUC of mild, moderate and severe hepatic steatosis in MAFLD were 0.906, 0.907, and 0.946, respectively, and the sensitivity and specificity were 76.50%, 82.10%, 98.00%, and 90.80%, 83.30% and 76.10%, respectively. Conclusion: MAFLD is a common disease in the general population, with a higher incidence in male and elderly female over 30 years of age. UAP can be used as a new noninvasive diagnostic technique to evaluate hepatic steatosis in MAFLD. The UAG model has a good diagnostic efficacy on MAFLD and its relevant disorders, and thus can be used as a guide for evaluating clinical diagnosis and prognosis.
Adult ; Aged ; Alanine Transaminase ; Elasticity Imaging Techniques ; Female ; Humans ; Liver/diagnostic imaging* ; Male ; Middle Aged ; Non-alcoholic Fatty Liver Disease/diagnostic imaging* ; ROC Curve ; Sensitivity and Specificity ; Ultrasonography/methods*

OBJECTIVES: To construct a YOLOv3-based model for diatom identification in scanning electron microscope images, explore the application performance in practical cases and discuss the advantages of this model. METHODS: A total of 25 000 scanning electron microscopy images were collected at 1 500× as an initial image set, and input into the YOLOv3 network to train the identification model after experts' annotation and image processing. Diatom scanning electron microscopy images of lung, liver and kidney tissues taken from 8 drowning cases were identified by this model under the threshold of 0.4, 0.6 and 0.8 respectively, and were also identified by experts manually. The application performance of this model was evaluated through the recognition speed, recall rate and precision rate. RESULTS: The mean average precision of the model in the validation set and test set was 94.8% and 94.3%, respectively, and the average recall rate was 81.2% and 81.5%, respectively. The recognition speed of the model is more than 9 times faster than that of manual recognition. Under the threshold of 0.4, the mean recall rate and precision rate of diatoms in lung tissues were 89.6% and 87.8%, respectively. The overall recall rate in liver and kidney tissues was 100% and the precision rate was less than 5%. As the threshold increased, the recall rate in all tissues decreased and the precision rate increased. The F1 score of the model in lung tissues decreased with the increase of threshold, while the F1 score in liver and kidney tissues with the increase of threshold. CONCLUSIONS The YOLOv3-based diatom electron microscope images automatic identification model works at a rapid speed and shows high recall rates in all tissues and high precision rates in lung tissues under an appropriate threshold. The identification model greatly reduces the workload of manual recognition, and has a good application prospect.
Diatoms ; Drowning/diagnosis* ; Humans ; Liver/diagnostic imaging* ; Lung/diagnostic imaging* ; Microscopy, Electron, Scanning