Objective:The minimal ablative margin (MAM) after radiofrequency ablation (RFA) was evaluated based on magnetic resonance imaging (MRI) image registration to analyze its effect on the prognosis of patients with hepatocellular carcinoma (HCC).Methods:Clinical data of 120 patients with HCC undergoing RFA in the General Hospital of Ningxia Medical University from January 2017 to April 2022 were retrospectively analyzed, including 88 males and 32 females, aged (58.4±8.5) years. The enhanced MRI images of patients before and after treatment were imported into a 3D Slicer software to show the ablative margin, and patients were divided into two groups according to whether MAM exceeded the peritumor safety boundary of 5 mm: MAM<5 mm group ( n=75) and MAM≥5 mm group ( n=45). Clinical data were recorded such as gender, age, tumor length and location. Patients were followed up by outpatient review to record whether local tumour progression occurred. Kaplan-Meier method was used for survival analysis, and log-rank test was used for survival comparison. Cox regression analysis was performed to analyze the risk factors of local tumour progression after RFA in patients with HCC. Results:There were significant differen-ces in tumor volume, whether the tumor is located around the vessels, and the mode of RFA guidance between the two groups (all P<0.05). The cumulative local tumour progression-free survival rates at 6, 12 and 24 months after RFA were 100%, 100% and 98% in MAM ≥5 mm group, superior to those in MAM<5 mm group (92%, 84% and 69%, respectively, χ2=47.22, P<0.001). Multivariate Cox regression analysis showed that MAM<5 mm ( OR=9.992, 95% CI: 4.358-22.913), tumor diameter ≥2 cm ( OR=1.758, 95% CI: 1.025-3.015) and perivascular tumor ( OR=2.344, 95% CI: 1.379-3.985) were risk factors for local tumour progression after RFA in patients with HCC (all P<0.05). Conclusion:The MAM evaluated based on MRI image registration is an influential factor on prognosis of patients with HCC. Patients with MAM<5 mm suffer an increased risk of postoperative local tumour progression.

Objective:To develop a deep learning-based system for real-time recognition and classification of portal hypertensive gastropathy (PHG) and evaluate its ability to assist junior endoscopists.Methods:A total of 2 848 gastroscopy images from 832 patients with liver cirrhosis were selected from Digestive Endoscopy Center databases of Renmin Hospital of Wuhan University, Wuhan Hospital of Traditional Chinese and Western Medicine, and the Second Hospital of Jingzhou from January 2015 to October 2023. This system referred to 3 endoscopic features of Baveno Ⅱ scoring system. Three models were developed respectively for gastric antral vascular ectasia (GAVE), mosaic-like pattern (MLP), and red marks (RM). The specific classification references were as follows: (1) GAVE model: 0 no, 1 yes; (2) MLP model: 0 no, 1 mild, 2 severe; (3) RM model: 0 no, 1 isolated, 2 fused. The classification results for endoscopic characteristics of PHG of 3 endoscopy experts were taken as the gold standard. The yolov8-m model was used for training. The training dataset, validation dataset, and test dataset were allocated at a ratio of 8∶1∶1. The test dataset was used to evaluate the performance of models and their auxiliary effects on endoscopists. The accuracy, recall, precision, specificity and Kappa coefficient were calculated. Results:The accuracy, recall, specificity of GAVE model were 96.0% (48/50), 87.5% (7/8) and 97.6% (41/42). There was no significant difference between its accuracy and the gold standard ( χ2=316.226, P=1.000). The precision of GAVE1 and GAVE0 were 87.5% (7/8) and 97.6% (41/42) respectively. The accuracy of MLP model was 84.1% (132/157), and there was no significant difference compared with the gold standard ( χ2=3.286, P=0.193). The precision and recall of MLP2 were 88.2% (15/17) and 75.0% (15/20). The precision and recall of MLP1 were 77.9% (60/77) and 88.2% (60/68). The precision and recall of MLP0 were 90.5% (57/63) and 82.6% (57/69). The accuracy of RM model was 87.9% (123/140), and there was no significant difference compared with the gold standard ( χ2=2.891, P=0.409). The precision and recall of RM2 were 94.7% (18/19) and 78.3% (18/23). The precision and recall of RM1 were 72.2% (26/36) and 81.3% (26/32). The precision and recall of RM0 were 92.9% (79/85) and 92.9% (79/85). The mean accuracy of the three junior endoscopists, with and without the assistance of the GAVE model, MLP model, and RM model, respectively increased from 95.3% to 99.3%, from 83.9% to 91.9%, and from 81.9% to 83.1%. The overall consistency analysis of the 3 junior endoscopists with the gold standard indicated that the consistency of the GAVE model before and after assistance was extremely strong (both an overall Kappa of 1.000); the consistency before assistance of the MLP model was moderate (with an overall Kappa of 0.601), which increased to extremely strong after assistance (with an overall Kappa of 0.964); and the consistency of the RM model before and after assistance was also relatively strong (with an overall Kappa of 0.792 before and 0.798 after). Conclusion:The deep learning system accurately identifies and classifies PHG features and significantly enhances diagnostic performance of junior endoscopists.

Objective To observe the clinical efficacy of mind-regulating and meridians-dredging acupuncture combined with rehabilitation training in treating limb dysfunction in recovery period of cerebral infarction(CI).Methods A total of 110 cases of patients with limb dysfunction in recovery period of CI were randomly divided into observation group and control group,55 cases in each group,the control group was given routine rehabilitation training,and the observation group was treated with mind-regulating and meridians-dredging acupuncture on the basis of intervention of the control group,the course of treatment covered two consecutive weeks.After two weeks of treatment,the clinical efficacy of the two groups was evaluated,and the changes of scores of traditional Chinese medicine(TCM)syndrome,Fugl-Meyer Assessment(FMA),Berg Balance Scale(BBS)and Modified Barthel Index(MBI)before and after treatment of patients in the two groups were observed.The changes of electromyographic signal before and after treatment were compared between the two groups.And the safety and the occurrence of adverse reactions in the two groups were evaluated.Results(1)The total effective rate was 98.18%(54/55)in the observation group and 87.27%(48/55)in the control group.The efficacy of the observation group was superior to that of the control group,the difference being statistically significant(P<0.05).(2)After treatment,the TCM syndrome scores of patients in the two groups were significantly improved(P<0.05),and the improvement in the observation group was significantly superior to that in the control group,with a statistically significant difference(P<0.05).(3)After treatment,the FMA scores of patients in the two groups improved significantly(P<0.05),and the improvement in the observation group was significantly superior to that in the control group,the difference being statistically significant(P<0.05).(4)After treatment,the BBS scores and MBI scores of the patients in the two groups improved significantly(P<0.05),and the improvement in the observation group was significantly superior to that in the control group,the difference being statistically significant(P<0.05).(5)After treatment,the root mean square value(RMS)of biceps brachii muscle elbow flexion and triceps brachii muscle elbow extention of the two groups of patients improved significantly(P<0.05),and the improvement in the observation group was significantly superior to that in the control group,the difference being statistically significant(P<0.05).(6)During the treatment,there were no obvious adverse reactions occurred in both groups.Conclusion Mind-regulating and meridians-dredging acupuncture combined with rehabilitation training in treating limb dysfunction in recovery period of CI can significantly improve the motor ability of patients,and adjust the electromyographic signals of the affected limbs,with high safety.

Objective:The minimal ablative margin (MAM) after radiofrequency ablation (RFA) was evaluated based on magnetic resonance imaging (MRI) image registration to analyze its effect on the prognosis of patients with hepatocellular carcinoma (HCC).Methods:Clinical data of 120 patients with HCC undergoing RFA in the General Hospital of Ningxia Medical University from January 2017 to April 2022 were retrospectively analyzed, including 88 males and 32 females, aged (58.4±8.5) years. The enhanced MRI images of patients before and after treatment were imported into a 3D Slicer software to show the ablative margin, and patients were divided into two groups according to whether MAM exceeded the peritumor safety boundary of 5 mm: MAM<5 mm group ( n=75) and MAM≥5 mm group ( n=45). Clinical data were recorded such as gender, age, tumor length and location. Patients were followed up by outpatient review to record whether local tumour progression occurred. Kaplan-Meier method was used for survival analysis, and log-rank test was used for survival comparison. Cox regression analysis was performed to analyze the risk factors of local tumour progression after RFA in patients with HCC. Results:There were significant differen-ces in tumor volume, whether the tumor is located around the vessels, and the mode of RFA guidance between the two groups (all P<0.05). The cumulative local tumour progression-free survival rates at 6, 12 and 24 months after RFA were 100%, 100% and 98% in MAM ≥5 mm group, superior to those in MAM<5 mm group (92%, 84% and 69%, respectively, χ2=47.22, P<0.001). Multivariate Cox regression analysis showed that MAM<5 mm ( OR=9.992, 95% CI: 4.358-22.913), tumor diameter ≥2 cm ( OR=1.758, 95% CI: 1.025-3.015) and perivascular tumor ( OR=2.344, 95% CI: 1.379-3.985) were risk factors for local tumour progression after RFA in patients with HCC (all P<0.05). Conclusion:The MAM evaluated based on MRI image registration is an influential factor on prognosis of patients with HCC. Patients with MAM<5 mm suffer an increased risk of postoperative local tumour progression.

Objective:To develop a deep learning-based system for real-time recognition and classification of portal hypertensive gastropathy (PHG) and evaluate its ability to assist junior endoscopists.Methods:A total of 2 848 gastroscopy images from 832 patients with liver cirrhosis were selected from Digestive Endoscopy Center databases of Renmin Hospital of Wuhan University, Wuhan Hospital of Traditional Chinese and Western Medicine, and the Second Hospital of Jingzhou from January 2015 to October 2023. This system referred to 3 endoscopic features of Baveno Ⅱ scoring system. Three models were developed respectively for gastric antral vascular ectasia (GAVE), mosaic-like pattern (MLP), and red marks (RM). The specific classification references were as follows: (1) GAVE model: 0 no, 1 yes; (2) MLP model: 0 no, 1 mild, 2 severe; (3) RM model: 0 no, 1 isolated, 2 fused. The classification results for endoscopic characteristics of PHG of 3 endoscopy experts were taken as the gold standard. The yolov8-m model was used for training. The training dataset, validation dataset, and test dataset were allocated at a ratio of 8∶1∶1. The test dataset was used to evaluate the performance of models and their auxiliary effects on endoscopists. The accuracy, recall, precision, specificity and Kappa coefficient were calculated. Results:The accuracy, recall, specificity of GAVE model were 96.0% (48/50), 87.5% (7/8) and 97.6% (41/42). There was no significant difference between its accuracy and the gold standard ( χ2=316.226, P=1.000). The precision of GAVE1 and GAVE0 were 87.5% (7/8) and 97.6% (41/42) respectively. The accuracy of MLP model was 84.1% (132/157), and there was no significant difference compared with the gold standard ( χ2=3.286, P=0.193). The precision and recall of MLP2 were 88.2% (15/17) and 75.0% (15/20). The precision and recall of MLP1 were 77.9% (60/77) and 88.2% (60/68). The precision and recall of MLP0 were 90.5% (57/63) and 82.6% (57/69). The accuracy of RM model was 87.9% (123/140), and there was no significant difference compared with the gold standard ( χ2=2.891, P=0.409). The precision and recall of RM2 were 94.7% (18/19) and 78.3% (18/23). The precision and recall of RM1 were 72.2% (26/36) and 81.3% (26/32). The precision and recall of RM0 were 92.9% (79/85) and 92.9% (79/85). The mean accuracy of the three junior endoscopists, with and without the assistance of the GAVE model, MLP model, and RM model, respectively increased from 95.3% to 99.3%, from 83.9% to 91.9%, and from 81.9% to 83.1%. The overall consistency analysis of the 3 junior endoscopists with the gold standard indicated that the consistency of the GAVE model before and after assistance was extremely strong (both an overall Kappa of 1.000); the consistency before assistance of the MLP model was moderate (with an overall Kappa of 0.601), which increased to extremely strong after assistance (with an overall Kappa of 0.964); and the consistency of the RM model before and after assistance was also relatively strong (with an overall Kappa of 0.792 before and 0.798 after). Conclusion:The deep learning system accurately identifies and classifies PHG features and significantly enhances diagnostic performance of junior endoscopists.

ObjectiveTo investigate the effects of Aconiti Coreani Radix and Typhonii Rhizoma on the urinary metabolites of gerbils with stroke by non-targeted metabolomics technique， and then to clarify the mechanism of the two， as well as their similarities and differences. MethodTwenty-four gerbils were randomly divided into control group（CG）， model group（MG）， Aconiti Coreani Radix group（RA） and Typhonii Rhizoma group（RT）. Except for the CG， ischemic stroke model was constructed using right unilateral ligation of gerbil carotid artery in the remaining groups. Except for the CG and MG， rats in the other groups received whole powder suspension（0.586 mg·g^-1） was administered for 14 days. The neurological deficit in each group was scored by Longa scoring on days 0， 3， 7 and 14. After the end of administration， the serum， brain tissue and urine of gerbils in each group were collected， and the rate of cerebral infarction was detected by 2，3，5-triphenyltetrazolium chloride（TTC）， and the levels of interleukin（IL）-6， tumor necrosis factor（TNF）-α， malondialdehyde（MDA）， superoxide dismutase（SOD）， glutathione（GSH）， and nitric oxide（NO） in serum and brain tissue were determined by enzyme-linked immunosorbent assay（ELISA）. The urine metabolomics of gerbils in each group was studied by ultra performance liquid chromatography-quadrupole-electrostatic field orbitrap high resolution mass spectrometry（UPLC-Q-Orbitrap-MS）， and the data were processed by multivariate statistical analysis， and differential metabolites were screened based on value of variable importance in the projection（VIP） of the first principal component>1 and t-test P<0.05. Metabolic pathway analysis of the screened differential metabolites was performed using Kyoto Encyclopedia of Genes and Genomes（KEGG） database and Metaboanalyst 5.0. ResultCompared with the CG， the neurological deficit score was significantly increased in the MG（P<0.05）， compared with the MG， the neurological deficit scores in the RA and RT were significantly reduced after 7 d and 14 d（P<0.05）. Compared with the CG， the rate of cerebral infarction was significantly increased in the MG（P<0.05）， compared with the MG， the rates of cerebral infarction in the RA and RT were significantly reduced（P<0.05）. Compared with the CG， the levels of IL-6， TNF-α， and MDA in the serum and brain tissue of gerbils from the MG were significantly increased（P<0.05）， and the levels of SOD， GSH and NO were significantly reduced（P<0.05）. Compared with the MG， Aconiti Coreani Radix and Typhonii Rhizoma could down-regulate the levels of IL-6， TNF-α and MDA， and up-regulated the levels of SOD， GSH and NO. A total of 112 endogenous differential metabolites were screened by urine metabolomics， of which 16 and 26 metabolites were called back by Aconiti Coreani Radix and Typhonii Rhizoma， and could be used as potential biomarkers for both treatments in stroke gerbils， respectively. The results of the pathway analysis showed that both Aconiti Coreani Radix and Typhonii Rhizoma had regulatory effects on arginine and proline metabolism， pyrimidine metabolism， and aminoacyl-tRNA biosynthesis. In addition， Aconiti Coreani Radix could also regulate riboflavin metabolism， Typhonii Rhizoma could also regulate purine metabolism， glycine， serine and threonine metabolism， arachidonic acid metabolism， biosynthesis of pantothenate and coenzyme A， and β-alanine metabolism. ConclusionBoth Aconiti Coreani Radix and Typhonii Rhizoma have better therapeutic effects on stroke， with Aconiti Coreani Radix having stronger effects. From the metabolomics results， the main metabolic pathways regulated by Aconiti Coreani Radix involve amino acid metabolism， oxidative stress and so on， while Typhonii Rhizoma mainly involve amino acid metabolism， lipid metabolism， energy metabolism， etc.

Herb-induced liver injury(HILI)tends to have complex toxic material basis and toxic mechanism,which greatly affects the safety of traditional Chinese medicine.This article summarizes the main toxic components of Chinese herbal medicine causing liver injury and their mechanism of action.The toxic components of Chinese herbal medicine causing liver injury can be classified into two categories of drug-derived and non-drug-derived toxic components.Drug-derived toxic components mainly include alkaloids,terpenoids,anthraquinones,and phenylpropanoids,and their mechanism of action involves oxidative stress,apoptosis and necrosis,CYP450 enzymes,and genotoxicity.Non-drug-derived toxic components mainly include pesticide residues,sulfur dioxide residues,heavy metals,fungi,and plant growth regulators,and their mechanisms involve oxidative stress,apoptosis,metabolic disorders,and CYP450 enzymes.On this basis,this article further proposes the unsolved problems and research difficulties,in order to promote the basic research on the hepatotoxicity of traditional Chinese medicine.

Objective To achieve high throughput and high detection rate of circulating tumor cells(CTCs)in human peripheral blood,and to provide efficient and accurate early screening for cancer patients.Methods A microfluidic chip with the integration of sorting,enrichment and detection was designed,and CTCs at the single cell level were detected by fluorescence detection system to obtain the number of CTCs in samples.Results The peripheral blood samples after lysed red blood cells were used for 6 experiments.When the injection rate reached 0.2 mL/h,CTCs could reach the best detection rate of 78.6%,and the correlation coefficient within the group was above 0.8.Conclusion CTCs detection system can achieve high detection rate and has good reliability,which can provide a reliable reference for clinical research in related fields.

AIM: Previous studies have suggested that big stick design (BSD) method can only be used in clinical trials of two treatments with equal proportion, which has good statistical performance and has become the recommended choice of randomized methods. This study expands BSD method, so that it can be applied to three groups, and provides more randomized methods for clinical trials. METHODS: On the basis of BSD method used in two treatments with equal proportion, the derivation conditional allocation probability of BSD method used in three treatments with equal proportion was carried out. BSD method was compared with simple randomization (SR) method, permuted block design (PBD) method and block urn design (BUD) method by Monte-Carlo simulation in balance and randomness. RESULTS: In terms of balance, PBD method was the best, followed by BUD method, BSD method, and SR method was the worst. In terms of randomness, SR method was the best, followed by BSD method, BUD method and PBD method. The comprehensive performance showed that BSD method was better than BUD method, PBD method and SR method. CONCLUSION: The expanded BSD method used in three treatments with equal proportion has good comprehensive performance, and it can be the recommended randomization method for clinical trials of three treatments with equal proportion.

The damage caused by space microgravity environment to the body systems of astronauts directly affects their work efficiency.This paper reviewed previous studies on the effects of space microgravity environment and ground simulated microgravity environment on cognition and emotion, potential mechanisms and interventions. It was found that a microgravity environment led to dysfunction in learning, memory, spatial orientation and other aspects, and caused anxiety and depression. The mechanisms of cognitive and emotional impairment associated with microgravity environment are complex, including neuronal damage, brain structure changes, neurotransmitter disorders, synaptic dysfunction, oxidative stress injury, and energy metabolism disorders. Pharmacological approaches such as natural extracts, physical interventions such as repetitive transcranial magnetic stimulation, and new therapies such as probiotics were expected to reduce cognitive impairment and mood disorders caused by microgravity exposure. With the development of aerospace medicine in China, the potential mechanism and interventions of microgravity environment on cognitive and emotional impairment remain to be further studied.