Objective To construct a model for predicting ki-67 expression in hepatocellular carcinoma using the intratumoral and peritumoral radiomic features of contrast enhanced magnetic resonance imaging(CEMRI)in the arterial phase as well as clinical imaging features.Methods A total of 120 patients pathologically diagnosed with hepatocellular carcinoma(HCC)from January 2016 to December 2024 in No.910 Hospital of the Joint Logis-tics Support Force of the Chinese People's Liberation Army were retrospectively enrolled and randomly divided into a training set(84 cases)and a test set(36 cases)in a ratio of 7∶3.ITK-SNAP software was used to delineate the global region of interest(ROI)of HCC on the arterial phase MR images.The ROIs of all patients were automatically expanded outward by 2 mm,and then the intratumoral ROI areas were eliminated to obtain the peritumoral ROI.With the help of PyRadiomics software,1 198 intratumoral and peritumoral radiomic features were extracted.Spearman correlation analysis,maximum relevance-minimum redundancy(mRMR),and least absolute shrinkage and selection operator(LASSO)regression were used to reduce the data dimension and select the best features.Then,a radiomics model of the logistic regression(LR)machine learning algorithm was constructed.A combined model including clinical imaging features and radiomics features was established.The area under the curve(AUC),accuracy,sensitivity,specificity,positive predictive value(PPV),negative predictive value(NPV),calibration curve and decision curve analysis(DCA)were used to evaluate the efficacy of the intratumoral and peritumoral radiomics features combined with clinical imaging features model in predicting ki-67 expression in hepatocellular car-cinoma.Results The intratumor model exhibited an efficacy in predicting the expression of ki-67 in hepatocellular carcinoma with AUC values of 0.817 and 0.787 in the training set and test set,respectively.The peritumoral model showed an efficacy with AUC values of 0.805 and 0.633 in the training set and test set,respectively.The intratumoral and peritumoral model demonstrated AUC values of 0.874 and 0.836 in the training set and test set,respectively.The combined model constructed by integrating the intratumoral and peritumoral model with clinical imaging features yielded AUC values of 0.877 and 0.849 in the training set and test set,respectively,indicating clinical imaging features improved the performance of the model.DCA showed that the combined models all had good clinical benefits,with the intratumoral and peritumoral model performing the best.Conclusion The intratumoral and peritumoral radiomics model based on CEMRI arterial phase combined with clinical imaging data can accurately predict the expression of ki-67 in hepatocellular carcinoma.This combined model yields the best clinical benefit.

Objective To explore its application value of LNM in patients with gastric adenocarcinoma based on the construction of a radiomic nomogram prediction model for preoperative lymph node metastasis in gastric adenocarcinoma using enhanced CT imaging features and parameters.Methods 131 patients with gastric adenocarcinoma who underwent radical gastric cancer surgery(Billroth Ⅱ)+lymph node dissection in our hospital from August 2019 to October 2023 were retrospectively analysed,and the preoperative enhancement CT extracted lesions,histological features of lymph node images,and pathological examination of LNM were recorded respectively,and the statistically significant Enhanced CT image histological features and parameters,multifactorial logistic regression to analyse the independent risk factors of gastric adenocarcinoma LNM(+)and construct a column-line diagram,and evaluate its performance.The performance and clinical value of the prediction model were evaluated using subject work characteristic(ROC)curves,and the column-line diagram was internally validated.Results The results of univariate analysis showed that the maximum diameter of the tumour,the lymph node status,the short-axis length and volume of the largest lymph node in the lymph node group and the sum of the short-axis lengths of all the lymph nodes were associated with the occurrence of LNM,and the difference was statistically significant(P＜0.05);multifactorial logistic regression analysis suggested that the maximum diameter of the tumour was ≥15 mm and the lymph node status was positive in the enhanced CT imaging examination,maximum lymph node short-axis length ≥ 7 mm in the lymph node group,the sum of short-axis lengths of all lymph nodes ≥ 11 mm,and the maximum lymph node short-axis volume ≥ 300 mm3 in the lymph node group were the independent risk factors for gastric adenocarcinoma patients with LNM(+)(P＜0.05);the area under the curve of the model was plotted using a ROC curve with an AUC=0.816(95％ CI 0.810-0.939),with the sensitivity of 0.91 and the specificity of 0.86.Model validation was performed using the BOOTSTRAP method containing 500 resamples,and the results suggested that the differences between the fitted curves and the ideal curves of the constructed column-line graphical model were not significant,and the validity and reliability were good.Conclusion The radiomic nomogram prediction model based on enhanced CT imaging features and parameters can effectively predict preoperative lymph node metastasis in gastric adenocarcinoma,providing strong support for clinical decision-making in gastric adenocarcinoma patients.

Objective To construct a model for predicting ki-67 expression in hepatocellular carcinoma using the intratumoral and peritumoral radiomic features of contrast enhanced magnetic resonance imaging(CEMRI)in the arterial phase as well as clinical imaging features.Methods A total of 120 patients pathologically diagnosed with hepatocellular carcinoma(HCC)from January 2016 to December 2024 in No.910 Hospital of the Joint Logis-tics Support Force of the Chinese People's Liberation Army were retrospectively enrolled and randomly divided into a training set(84 cases)and a test set(36 cases)in a ratio of 7∶3.ITK-SNAP software was used to delineate the global region of interest(ROI)of HCC on the arterial phase MR images.The ROIs of all patients were automatically expanded outward by 2 mm,and then the intratumoral ROI areas were eliminated to obtain the peritumoral ROI.With the help of PyRadiomics software,1 198 intratumoral and peritumoral radiomic features were extracted.Spearman correlation analysis,maximum relevance-minimum redundancy(mRMR),and least absolute shrinkage and selection operator(LASSO)regression were used to reduce the data dimension and select the best features.Then,a radiomics model of the logistic regression(LR)machine learning algorithm was constructed.A combined model including clinical imaging features and radiomics features was established.The area under the curve(AUC),accuracy,sensitivity,specificity,positive predictive value(PPV),negative predictive value(NPV),calibration curve and decision curve analysis(DCA)were used to evaluate the efficacy of the intratumoral and peritumoral radiomics features combined with clinical imaging features model in predicting ki-67 expression in hepatocellular car-cinoma.Results The intratumor model exhibited an efficacy in predicting the expression of ki-67 in hepatocellular carcinoma with AUC values of 0.817 and 0.787 in the training set and test set,respectively.The peritumoral model showed an efficacy with AUC values of 0.805 and 0.633 in the training set and test set,respectively.The intratumoral and peritumoral model demonstrated AUC values of 0.874 and 0.836 in the training set and test set,respectively.The combined model constructed by integrating the intratumoral and peritumoral model with clinical imaging features yielded AUC values of 0.877 and 0.849 in the training set and test set,respectively,indicating clinical imaging features improved the performance of the model.DCA showed that the combined models all had good clinical benefits,with the intratumoral and peritumoral model performing the best.Conclusion The intratumoral and peritumoral radiomics model based on CEMRI arterial phase combined with clinical imaging data can accurately predict the expression of ki-67 in hepatocellular carcinoma.This combined model yields the best clinical benefit.

Objective To explore its application value of LNM in patients with gastric adenocarcinoma based on the construction of a radiomic nomogram prediction model for preoperative lymph node metastasis in gastric adenocarcinoma using enhanced CT imaging features and parameters.Methods 131 patients with gastric adenocarcinoma who underwent radical gastric cancer surgery(Billroth Ⅱ)+lymph node dissection in our hospital from August 2019 to October 2023 were retrospectively analysed,and the preoperative enhancement CT extracted lesions,histological features of lymph node images,and pathological examination of LNM were recorded respectively,and the statistically significant Enhanced CT image histological features and parameters,multifactorial logistic regression to analyse the independent risk factors of gastric adenocarcinoma LNM(+)and construct a column-line diagram,and evaluate its performance.The performance and clinical value of the prediction model were evaluated using subject work characteristic(ROC)curves,and the column-line diagram was internally validated.Results The results of univariate analysis showed that the maximum diameter of the tumour,the lymph node status,the short-axis length and volume of the largest lymph node in the lymph node group and the sum of the short-axis lengths of all the lymph nodes were associated with the occurrence of LNM,and the difference was statistically significant(P＜0.05);multifactorial logistic regression analysis suggested that the maximum diameter of the tumour was ≥15 mm and the lymph node status was positive in the enhanced CT imaging examination,maximum lymph node short-axis length ≥ 7 mm in the lymph node group,the sum of short-axis lengths of all lymph nodes ≥ 11 mm,and the maximum lymph node short-axis volume ≥ 300 mm3 in the lymph node group were the independent risk factors for gastric adenocarcinoma patients with LNM(+)(P＜0.05);the area under the curve of the model was plotted using a ROC curve with an AUC=0.816(95％ CI 0.810-0.939),with the sensitivity of 0.91 and the specificity of 0.86.Model validation was performed using the BOOTSTRAP method containing 500 resamples,and the results suggested that the differences between the fitted curves and the ideal curves of the constructed column-line graphical model were not significant,and the validity and reliability were good.Conclusion The radiomic nomogram prediction model based on enhanced CT imaging features and parameters can effectively predict preoperative lymph node metastasis in gastric adenocarcinoma,providing strong support for clinical decision-making in gastric adenocarcinoma patients.

Objective:To establish the ultra high performance liquid chromatography (UPLC) fingerprints of Mume flos at different flowering stages; To provide reference for the quality research of Mume flos.Methods:The fingerprints of Mume flos were established by UPLC method, and the common peaks were identified by high performance liquid chromatography high resolution mass spectrometry (LC-MS). Chemometrics analysis was carried out with the fingerprints' common peak area of plum blossom at different flowering stages as a variable. Semiquantitative analysis of changes in flavonoids and phenolic acids in Mume flos at different flowering stages was conduct using peak area calculation method.Results:Totally 31 common peaks were identified in the fingerprints of plum blossom medicinal materials at different flowering stages and 9 components were identified. Clustering analysis (HCA) and principal component analysis (PCA) both classified plum blossom medicinal herbs at different flowering stages into three categories. Among them, there were significant differences between the groups at the bud stage, blooming period, and final flowering period, while the differences between the groups at blooming period and final flowering period were relatively small. The orthogonal partial least squares discriminant analysis (OPLS-DA) screened 16 different components with VIP>1.0. The contents of phenolic acids in different flowering stages were as follows: bud stage>blooming period>final flowering period, while the contents of flavonoids were as follows: blooming period>final flowering period>bud stage.Conclusions:This method is simple and reliable, and can provide reference for the quality evaluation of plum blossom medicinal materials at different flowering stages.

Objective To investigate the dietary intakes of postoperative patients with digestive malignant tumor during their recovery at home and explores the correlation of the intakes with the food nutritional knowledge of their primary family care-givers.Methods A total of 108 primary caregivers of prospective patients with digestive malignant tumors were selected for a sur-vey conducted at home from October 2022 to March 2023 in Guangzhou,from two tertiary hospitals.In this cross-sectional study,this paper investigated these caregivers using its general information questionnaire,a nutritional knowledge-attitude-behavior ques-tionnaire,and a simple dietary self-assessment tool(SDSAT).Results The SDSAT score of the patients was collected(4.16±1.22).Significant differences were observed among patients with various tumor types in terms of the recovery time at home after surgery.The total score of family primary caregivers'nutritional knowledge,attitude,and behavior was(47.64±6.97).Pearson's correlation analysis revealed a positive correlation between the knowledge of dietary guidelines and the patient's dietary intakes during home stay(r=0.285,P＜0.05).Multiple linear regression analysis revealed that caregivers'knowledge of dieta-ry guidelines significantly influenced the dietary intake of the prospective patients.Conclusion It is essential to regularly monitor the dietary intake of prospective patients at home.Medical personnel can concentrate on intervening with the patient's caregivers and encouraging them to participate in nutrition management together.This approach can improve the quality of family care and the nutritional status of the patients.

Objective:To investigate the mid- and long-term training effect of deliberate practice combined with intensive training in cardiopulmonary resuscitation (CPR) teaching for nurses receiving standardized training.Methods:A total of 160 nurses who received the first year of standardized training in Guangdong Provincial Hospital of Traditional Chinese Medicine from July 2020 to March 2021 were enrolled as subjects, and they were randomly divided into experimental group and control group, with 80 nurses in each group. The nurses in the control group received the mode of single deliberate practice, and those in the experimental group received deliberate practice combined with intensive training at months 0, 3, and 6. Assessment was performed for the two groups before and after training,with objective indicators and subjective evaluation as the assessment criteria. Objective score was determined by the immediate objective feedback provided by the electronic display of Resusci Anne ? QCPR, and subjective score was determined by the same group of examiners based on the evaluation of cardiopulmonary resuscitation performed by trainees,including environment evaluation, judgment of consciousness, judgment of respiration, initiation of emergency treatment system, re-evaluation after resuscitation, and overall evaluation. SPSS 18.0 was used for the independent samples t-test, the non-parametric test, and the chi-squares test. Results:After training, there were significant differences between the experimental group and the control group in the objective indicators of the percentage of correct compression (CC%) [85.500 (77.50, 93.00) vs. 81.00 (71.75, 89.00), Z=-2.49, P=0.013] and the proportion of correct ventilation (V%) [84.00 (75.00, 92.75) vs. 80.00 (64.00, 90.25), Z=-2.15, P=0.031]. Both groups had significant improvements in objective and subjective indicators after training (all P<0.05). Conclusions:Deliberate practice combined with intensive training at an interval of 3 months can effectively improve the mid- and long-term CPR skills of nurses receiving standardized training and is more suitable for high-level muscle memory training.

The Major Principles of the Five Elements is a collection of Yin-Yang and Five Elements theories in the middle ancient period of China.The Xiangshu model of Yin-Yang and Five Elements is the basic paradigm to clarify the world and its existence."Constitution"and"Function"are a pair of important categories used in ancient philosophy to describe the relationship be-tween the nature and function of ontology.Based on the two temporal and spatial rhythms of the Heluo Heaven and Earth Five Elements view and the Jiugong Bafeng spatiotemporal view constructed by the Xiangshu model,The Major Principles of the Five Elements explains the connotation and characteristics of traditional medical constitution and function,aiming to elucidate the evolution process of the path-ogenesis of constitution and function,guide the dialectical thinking of constitution and function,and flexibly select and combine drug properties and flavors to harmonize the human constitution and function.This paper provides a unique perspective and method for ex-plaining the concept and connotation of constitution and function in traditional Chinese medicine by glimpsing the gradual changing way of thinking in traditional medicine from the Pre-Qin period to the Tang Dynasty.

ObjectiveTo study the effect of total flavone of Litchi Semen （TFL） on proliferation， apoptosis， migration， and invasion of hepatoma cells HepG2. MethodMethyl thiazolyl tetrazolium colorimetric （MTT） assay was used to detect the effect of different-dose TFL and cisplatin on the proliferation of HepG2 cells. TdT-mediated dUTP nick-end labeling （TUNEL） assay was used to detect the effects of low， medium， and high-dose （70， 140， 210 mg·L^-1） of TFL and cisplatin （60 mg·L^-1） on the apoptosis of HepG2 cells， thus selecting the optimal dose of TFL for the follow-up experiment. HepG2 cells were divided into a blank group， a TFL group （140 mg·L^-1）， a TFL+XL019 group （140 mg·L^-1 TFL+0.5 μmol·L^-1 XL019）， and a TFL+TPI-1 group （140 mg·L^-1 TFL+1 μmol·L^-1 TPI-1）. The effect of TFL on migration and invasion of HepG2 cells were examined by wound healing test and Transwell invasion assay， and the effect of TFL on the expression of epithelial-mesenchymal transition （EMT） marker in HepG2 cells were examined by cell immunofluorescence assay. Western blot was used to detect the expression of key proteins in Janus kinase 2（JAK2）/signal transducer and activator of transcription 3 （STAT3） signaling pathway after the intervention by TFL. ResultMTT assay showed that the proliferation of HepG2 cells was significantly inhibited by TFL and cisplatin at 24 and 48 h as compared with blank group （P<0.01）， and the half maximal inhibitory concentration （IC₅₀） of TFL on HepG2 cells was （136.7±2.40） mg·L^-1 at 24 h and （106.8±1.11） mg·L^-1 at 48 h. The IC₅₀ of cisplatin on HepG2 cells was （58.48±2.04） mg·L^-1 at 24 h and （5.15±0.56） mg·L^-1 at 48 h. The results of TUNEL assay showed that TFL induced apoptosis of HepG2 cells. The optimal dose of TFL was 140 mg·L^-1. The results of wound healing test showed that compared with the blank group， the TFL group， TFL+XL019 group， and the TFL+TPI-1 group significantly inhibited the migration of HepG2 cells （P<0.05， P<0.01）. As compared with the TFL group， the inhibitory effect of the TFL+XL019 Group was significantly increased （P<0.05）， while that of the TFL+TPI-1 group was significantly decreased （P<0.01）. The Transwell invasion assay showed that compared with the blank group， the TFL group， TFL+XL019 group， and the TFL+TPI-1 group significantly inhibited the invasion of HepG2 cells （P<0.01）. As compared with the TFL group， the inhibitory effect of the TFL+XL019 group was significantly increased （P<0.05）， while that of the TFL+TPI-1 group was significantly decreased （P<0.01）. The results of immunofluorescence showed the intervention of TFL up-regulated the expression of E-cadherin， and down-regulated the expression of Vimentin in HepG2 cells， which was stronger in the TFL+XL019 group and weaker in the TFL+TPI-1 group. The results of Western blot showed that compared with the blank group， the TFL group， TFL+XL019 group， and the TFL+TPI-1 group did not affect the expression of JAK2 or STAT3 protein， but significantly decreased the expression levels of phosphorylatied （p）-JAK2 and p-STAT3 （P<0.05， P<0.01）. As compared with the TFL group， the expression levels of p-JAK2 and p-STAT3 in the TFL+XL019 group were significantly decreased （P<0.01）， while those in the TFL+TPI-1 group were significantly increased （P<0.01）. Compared with the blank group， the TFL group significantly increased the expression level of Src-homology domain 2 containing protein tyrosine phosphatase-1（SHP-1） with sh2 domain （P<0.01）. ConclusionTFL has the effects of inhibiting the proliferation， promoting apoptosis of HepG2 cells， and reversing the EMT process of HepG2 cells to reduce the migration and invasion， which are presumably related to the activation of SHP-1 by TFL to block JAK/STAT3 signaling pathway.

OBJECTIVES: Safe and effective anticoagulation is essential for hemodialysis patients who are at high risk of bleeding. The purpose of this trial is to evaluate the effectiveness and safety of two-stage regional citrate anticoagulation (RCA) combined with sequential anticoagulation and standard calcium-containing dialysate in intermittent hemodialysis (IHD) treatment. METHODS: Patients at high risk of bleeding who underwent IHD from September 2019 to May 2021 were prospectively enrolled in 13 blood purification centers of nephrology departments, and were randomly divided into RCA group and saline flushing group. In the RCA group, 0.04 g/mL sodium citrate was infused from the start of the dialysis line during blood draining and at the venous expansion chamber. The sodium citrate was stopped after 3 h of dialysis, which was changed to sequential dialysis without anticoagulant. The hazard ratios for coagulation were according to baseline. RESULTS: A total of 159 patients and 208 sessions were enrolled, including RCA group (80 patients, 110 sessions) and saline flushing group (79 patients, 98 sessions). The incidence of severe coagulation events of extracorporeal circulation in the RCA group was significantly lower than that in the saline flushing group (3.64% vs. 20.41%, P<0.001). The survival time of the filter pipeline in the RCA group was significantly longer than that in the saline flushing group ((238.34±9.33) min vs. (221.73±34.10) min, P<0.001). The urea clearance index (Kt/V) in the RCA group was similar to that in the saline flushing group with no statistically significant difference (1.12±0.34 vs. 1.08±0.34, P=0.41). CONCLUSIONS Compared with saline flushing, the two-stage RCA combined with a sequential anticoagulation strategy significantly reduced extracorporeal circulation clotting events and prolonged the dialysis time without serious adverse events.
Humans ; Citric Acid/adverse effects* ; Prospective Studies ; Sodium Citrate ; Hemorrhage/chemically induced* ; Citrates/adverse effects* ; Anticoagulants/adverse effects* ; Renal Dialysis/adverse effects*