Objective: To investigate the correlation between color parameters (L^*, a^*, b^*, Eab^*) and the contents of reducing sugars, total polysaccharides, total oligosaccharides, as well as four saccharides (fructose, glucose, sucrose, and kestose) during the nine cycles of steaming and sun-drying processing of Polygonatum kingianum, and to preliminarily explore the optimal processing duration.
Methods: The color changes were objectively evaluated using a colorimeter. The anthrone-sulfuric acid method was employed to determine total polysaccharides and oligosaccharides. The 3,5-dinitrosalicylic acid (DNS) colorimetric method was used to measure total reducing sugar content. High-performance liquid chromatography coupled with charged aerosol detection (HPLC-CAD) was applied for quantitative analysis of fructose, glucose, sucrose, and kestose. Multivariate statistical analysis was conducted to assess samples from different processing stages.
Results: Significant variations in color and component contents were observed across processing stages. The herbal pieces progressively darkened with increased processing cycles: brightness (L^*) and total color difference (Eab^*) initially decreased then stabilized, while a^* (red-green) and b^* (yellow-blue) values first increased then declined. Total polysaccharides and oligosaccharides showed overall decreasing trends, whereas reducing sugars initially increased before stabilizing. Fructose and glucose levels rose continuously, while sucrose and kestose decreased progressively, becoming undetectable after five cycles.
Conclusion: The chromatic alteration and saccharide composition of P. kingianum showed significant correlation with processing duration. Both total color difference (Eab^*) and reducing sugar content stabilized after four processing cycles (12 hours), suggesting that four cycles of steaming and sun-drying may represent the optimal processing duration.

Objective: To investigate the correlation between the color parameters (L^*, a^*, b^*, Eab^* values) of Polygoni Multiflori Radix Praeparata powder prepared by different processing techniques and the contents of 2,3,5,4’-tetrahydroxystilbene-2-O-β-D-glucopyranoside, emodin, physcion, emodin-8-O-β-D-glucopyranoside, physcion-8-O-β-D-glucopyranoside.
Methods: The L^*, a^*, b^* and Eab^* values of Polygoni Multiflori Radix Praeparata powder prepared by different processing techniques were determined by spectrophotometer, and the contents of the five components were determined by high performance liquid chromatography. Secondly, SPSS 26.0 software and Simca 14.1 software were used to analyze the correlation.
Results: Through the hierarchical cluster analysis (HCA), it was found that the steamed samples and black bean steamed samples could be obviously divided into two categories: raw products and processed products. The processed products could be further divided into 2-8 h and 12-48 h. Pearson correlation analysis showed that the content of stilbene glycoside was significantly positively correlated with L^*, a^* and b^* values (P<0.01). The a^* value was significantly positively correlated with the content of emodin and physcion (P<0.01). Emodin-8-O-β-D-glucoside was positively correlated with L^* value and b^* value, while physcion-8-O-β-D-glucoside was negatively correlated with a^* value. Partial least squares discriminant analysis (PLS) showed that 2,3,5,4’-tetrahydroxystilbene-2-O-β-D-glucoside (VIP=1.69) and emodin-8-O-β-D-glucoside (VIP=1.06) were the key variables affecting chromaticity characteristics (P<0.01).
Conclusion: The three processes of steaming, black bean steaming and black bean stewing are consistent in composition transformation and chromaticity variation, and stilbene glycoside can be used as a specific index component to characterize the processed color. Chromatic parameters can effectively reflect the processing progression and serve as quality monitoring indicators during production.

ObjectiveAs a common lifestyle habit, alcohol consumption has a controversial association with the onset of Parkinson’s disease (PD). To demonstrate the correlation between alcohol consumption and PD and to identify associated genes, we integrated findings from clinical surveys, genomics, transcriptomics, and animal experiments. MethodsWe investigated the alcohol consumption rates (including both before and after disease onset) among 244 PD patients in China and 177 PD patients from the U.S. NHANES database. Mendelian randomization (MR) analysis was performed using genome-wide association study (GWAS) data for three alcohol-related traits and seven PD-related datasets from the MRC IEU OpenGWAS database. Transcriptomic data from the substantia nigra of PD patients were obtained from three GEO datasets (GSE7621, GSE20141, and GSE49036) to analyze RIT2 gene transcription. Finally, three groups of animal experiments (water/20% ethanol/20% liquor, with 4 C57BL/6J mice per group) were conducted to examine changes in brain RIT2 gene expression and transcriptomic profiles following alcohol consumption. ResultsThe alcohol consumption rates among PD patients in China and the U.S. (9%-18.87%) were significantly lower than the general population rates of 15%-45% in their respective regions (P<0.001), suggesting a possible negative association between alcohol consumption and PD. Subsequently, in 21 bidirectional MR analyses using 3 alcohol-related GWAS datasets and 7 PD-related GWAS datasets, the forward MR analyses (alcohol intake as exposure, PD as outcome) yielded 12 negative associations (OR_IVW<1) and 9 positive associations (OR_IVW>1). Among these, only two negative associations reached statistical significance: alcohol intake frequency (OR_IVW=0.75, 95% CI: 0.60-0.93, P=0.010) and alcohol consumption (OR_IVW=0.20, 95% CI: 0.05-0.83, P=0.026). The forward MR analysis (alcohol intake→PD) identified 235 SNPs, annotated to 316 genes, while the reverse MR analyses (PD→alcohol intake) identified 37 SNPs, annotated to 53 genes. Notably, only the RIT2 gene appeared in both the forward and reverse MR analyses (alcohol intake→PD: rs28597806, rs8083110; PD→alcohol intake: rs4588066). RIT2 is selectively expressed in the human brain (FPKM: 5.259±2.103), with low or no expression in peripheral tissues (FPKM: <1). Analysis of three human substantia nigra transcriptomic datasets revealed a decreasing trend in RIT2 gene expression in PD patients (GSE20141 array signal: 3.49±1.23 vs. 2.33±0.87, P=0.044). Animal experiments demonstrated that administration of 20% ethanol or 20% liquor (approximately 8% ethanol) stimulated a >2-fold upregulation of RIT2 gene expression in the mouse brain. Furthermore, transcriptomic sequencing revealed that the two alcohol-treated groups exhibited 96 (20% ethanol vs. water control) and 4 (20% liquor vs. water control) differentially expressed genes, respectively, indicating that low-dose alcohol consumption can achieve RIT2 upregulation while minimizing impact on other brain genes. In addition to its anti-infective effects, low-dose alcohol consumption primarily influences signaling pathways related to neurodegenerative diseases such as PD and Prion diseases. ConclusionAlcohol consumption is generally considered as a harmful lifestyle habit. However, some studies have also shown a lower risk of mortality among individuals who consume low doses of alcohol (100 g/week of ethanol) or drink occasionally. Currently, one of the research focuses on alcohol consumption is whether the human body can benefit from low-dose alcohol intake. This study provides new evidence supporting a negative association between alcohol consumption and PD, and for the first time, through MR analysis, identifies the RIT2 gene as a potential mediator of the effect of alcohol consumption on PD. RIT2 is selectively expressed in the human brain. Building upon existing evidence indicating downregulated RIT2 gene expression in PD pathogenesis, our experiments confirm that low-dose alcohol consumption can upregulate RIT2 expression in the brain. In brief, alcohol consumption may suppress the pathogenesis of PD by upregulating RIT2 expression in the substantia nigra. China is facing a serious problem of population aging. This study offers important insights for long-term PD prevention and treatment strategies, with the aim of benefiting more potential PD patients through lifestyle modifications, thereby improving the quality of life of the aging population and reducing the economic burden on healthcare.

ObjectiveTo investigate the efficacy and safety of Shuganning injection in the treatment of liver injury by observing the clinical outcome of patients with liver injury after treatment with Shuganning injection and comparing it with reduced glutathione （GSH）. MethodsThis study was conducted among 175 patients with liver injury who attended 6 hospitals in China （Beijing YouAn Hospital， Capital Medical University； Nanyang First People’s Hospital； The Second Affiliated Hospital of Xi’an Jiaotong University； The Fifth Medical Center of Chinese PLA General Hospital； The Third Hospital of Hebei Medical University； The Affiliated Hospital of Guizhou Medical University） from April 25， 2019 to February 28， 2022. The patients were divided into experimental group （89 patients treated with Shuganning injection） and control group （86 patients treated with GSH）， and the course of treatment was 4 weeks for both groups. Related indicators were recorded before treatment， after treatment， and after drug withdrawal for 8 weeks， including liver function parameters， blood biochemical parameters， blood lipids， coagulation profiles， liver fibrosis markers， traditional Chinese medicine （TCM） syndrome score， and ultrasound findings， as well as adverse events during treatment. The Wilcoxon rank-sum test was used for comparison of continuous data between two groups， and the chi-square test was used for comparison of categorical data between two groups. The Wilcoxon signed-rank test was used for comparison of observation indicators before treatment， at week 4 of treatment， and after drug withdrawal for 8 weeks. When the efficacy evaluation of TCM syndromes was used as the outcome， a pooled analysis was performed for the effective cases and the markedly effective cases， and a Logistic regression model was used to calculate the odds ratio （OR） and its 95%CI. ResultsAfter 4 weeks of treatment with Shuganning injection， the patients showed significant reductions in TCM syndrome score （P<0.001） and the levels of aspartate aminotransferase， alanine aminotransferase， total bilirubin， and direct bilirubin （all P<0.001） and a significant increase in the level of albumin （P=0.002）， and these significant improvements persisted after drug withdrawal for 8 weeks. Furthermore， compared with the control group， the experimental group had a significantly higher proportion of patients assessed as effective or markedly effective cases （48.31% vs 32.56%， P=0.033）. Compared with the control group， the experimental group had a significantly greater change in TCM syndrome score at weeks 1-4 of treatment and after drug withdrawal for 8 weeks （P<0.05）. At week 4 of treatment， the experimental group had a significantly greater reduction in alanine aminotransferase than the control group （P<0.05）， and at week 8 after drug withdrawal， the experimental group had a significantly greater reduction in alanine aminotransferase and aspartate aminotransferase than the control group （all P<0.05）. One patient in the experimental group （1.12%） experienced an adverse event， which was determined to be associated with the progression of viral hepatitis. ConclusionShuganning injection can effectively improve liver injury， with good long-term efficacy and a low incidence rate of adverse reactions.

Objective To investigate the risk factors for mortality and bleeding complications in extracorporeal membrane oxygenation(ECMO)treated patients and to evaluate the impact of thrombocytopenia severity on the prognosis of ECMO therapy.Methods A total of 153 patients who received ECMO treatment at Peking University Third Hospital between January 2013 and September 2024 were en-rolled in this study.The patients were divided into death group(n=97)and recovery group(n=56)based on their final outcomes.Additionally,the patients were categorized into bleeding group(n=104)and non-bleeding group(n=49)based on the occurrence of bleeding complications during ECMO.Clinical baseline characteristics and extreme laboratory values during ECMO were compared be-tween groups.Logistic regression was used to analyze the risk factors for mortality and bleeding.The patients were further divided,based on the initial platelet(PLT)values on the day of catheter placement and the lowest platelet count during ECMO,into normal group(PLT≥ 100× 109/L),moderate reduction group[PLT=(50～99)× 109/L],and severe reduction group(PLT＜50× 109/L).Kaplan-Meier analysis was used to compare survival rates among these groups.The patients in the moderate and severe reduction groups were further divided into a platelet transfusion group and a non-transfusion group,and the outcomes and complication rates were com-pared.Results The recovery group had a higher proportion of myocarditis,higher minimum values of PLT,Hb,and Fib,and higher initial PLT values,while the maximum values of lactic dehydrogenase(LDH),total bilirubin(T-Bil),prothrombin time(PT),and procalcitonin(PCT)were lower(all P＜0.05)with significant differences.Logistic regression showed that age and maximum PCT were independent risk factors for mortality(OR=1.025 and 1.015 respectively,all P＜0.05).The bleeding group had longer ECMO dura-tions,more plasma transfusions,lower minimum Hb values,and higher maximum values of WBC,neutrophils(Neu),and APTT(all P＜0.05)with statistical differences.The minimum PLT value,maximum WBC value,and maximum APTT value were independent risk factors for bleeding complications(OR=0.986,1.062,and 1.004 respectively,all P＜0.05).Kaplan-Meier analysis showed that the patients in the severe reduction group had lower survival rates,regardless of whether the grouping was based on initial or minimum platelet counts(all P＜0.05).Platelet transfusion improved the mortality in the severe reduction group(P＜0.05)but had no effect on the moderate reduction group.Conclusion Age and peak value of PCT are the risk factors for mortality in ECMO patients,while mini-mum PLT count,peak value of WBC and APTT are the risk factors for bleeding complications.Early intervention for infection and in-flammation during ECMO may improve the outcome of patients.Severe thrombocytopenia during ECMO therapy increased the risk of mortality,and targeted platelet transfusion may improve the survival of these patients.

Objective:To investigate the value of T helper 17 cells（Th17）/regulatory T cells（Treg）imbalance in the evaluation of intravenous immunoglobulin（IVIG）resistance in children with Kawasaki disease and Kobayashi score≤4.Methods:A total of 78 children with Kawasaki disease and Kobayashi score ≤ 4 admitted to Hunan Children's Hospital from January 2020 to December 2023 were prospectively selected as the study subjects，all of whom received IVIG treatment.In the acute phase，the proportion of Th17 cells and Treg cells was detected.Children were divided into IVIG sensitive group and IVIG resistance group based on their responsiveness to IVIG treatment.Baseline data of children with different IVIG treatment responsiveness，acute Th17 cell inflammatory factors [interleukin（IL）-17，IL-21，tumor necrosis factor-α（TNF-α）]，Treg cell inflammatory factors [IL-10，IL-35，transforming growth factor-β（TGF-β）] levels，and Th17/Treg values were compared.The correlation between Th17/Treg values and IVIG resistance in children with Kawasaki disease was analyzed using a restricted cubic spline model（RCS）.According to the threshold of correlation between Th17/Treg values obtained from RCS analysis and drug resistance in children，Th17/Treg was grouped，with a focus on analyzing the predictive value and clinical benefits of Th17/Treg values for IVIG resistance in children with Kawasaki disease.Results:Among the 78 children with Kawasaki disease，16 were resistant to IVIG treatment，accounting for 20.51%.The levels of C-reactive protein（CRP）,IL-17,and Th17/Treg in the acute phase of children in the IVIG resistance group were higher than those in the IVIG sensitive group，while the levels of IL-10 were lower than those in the IVIG sensitive group（ P<0.05）.RCS analysis showed that there was a non-linear dose-response relationship between IVIG resistance and acute Th17/Treg values in children with Kawasaki disease（ P<0.05）.When the acute Th17/Treg value was greater than 1.05，the risk of IVIG resistance in children with Kawasaki disease increased with the increase in indicator levels.The levels of CRP and IL-17 in the acute phase of children with Th17/Treg>1.05 were higher than those in the Th17/Treg < 1.05 group，while IL-10 levels were lower than those in the Th17/Treg<1.05 group.The proportion of children resistant to IVIG treatment was higher than that in the Th17/Treg<1.05 group（ P<0.05）.Multivariate Logistic regression analysis showed that CRP，IL-17，IL-10，and Th17/Treg were the influencing factors of IVIG resistance in children with Kawasaki disease（ P<0.05）.It was found through a nomogram that the C-index of the acute phase Th17/Treg values and their secretion of inflammatory factors in children with Kawasaki disease and Kobayashi score ≤ 4，as well as other major indicators，predicted the risk of IVIG resistance.The C-index was 0.975（95% CI 0.944-1.000），indicating good discrimination.When drawing the decision curve，it was found that compared to using each indicator separately，the Th17/Treg value and its secreted inflammatory factors in the acute phase assisted other major indicators in drawing the decision curve with a higher net benefit rate，with a maximum net benefit rate of 0.205. Conclusion:IVIG resistance in children with Kawasaki disease and Kobayashi score≤4 is related to Th17/Treg imbalance.When the Th17/Treg value in the acute phase of the disease is greater than 1.05，the risk of IVIG resistance is higher.The inflammatory factors IL-17 and IL-10 secreted by the two can assist other known indicators related to IVIG resistance in Kawasaki disease patients，improving the accuracy of predicting resistance risk.

Objective:To investigate the clinical value of enhanced magnetic resonance imaging (MRI)-based deep learning model in preoperative prediction of proliferative hepatocellular carcinoma (HCC).Methods:The retrospective cohort study was conducted. The clinical data of 906 HCC patients who were admitted to The First Affiliated Hospital of Army Medical University and The Second Affiliated Hospital of Chongqing Medical University from May 2017 to October 2022 were collected. There were 769 males and 137 females, aged (53.2±10.9)years. Of the 906 patients, 815 cases who were admitted to The First Affiliated Hospital of Army Medical University were divided into the training set of 634 patients and the internal validation set of 181 patients using a random number table method with a ratio of 8:2, and 91 patients who were admitted to The Second Affiliated Hospital of Chongqing Medical University were divided into the external validation set. The training set was used to construct the prediction model, while the validation set was used to validate the prediction model. Observation indicators: (1) analysis of factors influencing the pathological classification of HCC patients; (2) deep learning imaging features of HCC patients; (3) evaluation of the efficacy of prediction model for proliferative HCC; (4) validation of the prediction model for proliferative HCC; (5) prognosis of HCC patients. Comparison of measurement data with normal distribution between groups was conducted using the independent sample t test. Comparison of measurement data with skewed distribution between groups was conducted using the Mann-Whitney U test. Comparison of count data between groups was conducted using the chi-square test. Multivariate analysis was conducted using the binary Logistic regression model. The model perfor-mance was evaluated through five-fold cross-validation, and receiver operating characteristic (ROC) curve was plotted to assess the diagnostic value of the model based on the area under curve (AUC), sensitivity, and specificity. The Delong test was used to compare the diagnostic performance of models. The Hosmer-Lemeshow test was employed to evaluate the calibration of models. The optimal cutoff value of the prediction model was determined by the maximum Youden index, with the value >0.175 indicating high-risk patients and value ≤0.175 indicating low-risk patients.The Kaplan-Meier method was used to calculate the survival rate and the Log-rank test was used for survival analysis. Results:(1) Analysis of factors influencing the pathological classification of HCC patients. Of 634 patients in the training set, there were 190 cases of proliferative HCC and 444 cases of non-proliferative HCC. Results of multivariate analysis showed that alpha fetoprotein (AFP) ≥400 μg/L and tumor diameter >5 cm were independent risk factors for pathological type of HCC as proli-ferative [ odds ratio=1.73, 1.88, 95% confidence interval ( CI) as 1.19-2.50, 1.30-2.71, P<0.05]. (2) Deep learning imaging features of HCC patients. In the training set of 634 patients, the probability predicted by MRI-based deep learning model was 84.8%(30.5%,95.4%) for proliferative HCC and 5.8%(3.2%,12.5%) for non-proliferative HCC, showing a significant difference between them ( Z=-16.01, P<0.05). (3) Evaluation of the efficacy of prediction model for proliferative HCC. In the training set, the AUC of clinical prediction model for proliferative HCC was 0.63(95% CI as 0.59-0.68, P<0.05), with sensitivity of 54.74% and specificity of 64.19%. The AUC of MRI-based deep learning prediction model was 0.90(95% CI as 0.87-0.93, P<0.05), with sensitivity of 80.53% and specificity of 86.94%. The AUC of combined MRI-based deep learning with clinical prediction model was 0.90 (95% CI as 0.87-0.93, P<0.05), with sensitivity of 83.16% and specificity of 86.04%. Results of Delong test showed that there was a significant difference between the combined MRI-based deep learning with clinical prediction model and the clinical prediction model ( P<0.05), and there was no signifi-cant difference between the combined MRI-based deep learning with clinical prediction model and the MRI-based deep learning prediction model ( P>0.05). Results of Hosmer-Lemeshow test showed good calibration for the clinical prediction model, the MRI-based deep learning prediction model and the combined MRI-based deep learning with clinical prediction model ( χ2=0.84, 6.38, 3.93, P>0.05), indicating that the predicted probabilities of these three prediction models matched the actual risk well. (4) Validation of the prediction model for proliferative HCC. Results of validation of the prediction model in internal validation set showed the AUC of MRI-based deep learning prediction model for proliferative HCC was 0.84(95% CI as 0.77-0.91, P<0.05), with sensitivity of 82.35% and specificity of 77.69%. Results of validation of the prediction model in external validation set showed the AUC of MRI-based deep learning prediction model for proliferative HCC was 0.81(95% CI as 0.71-0.92, P<0.05), with sensitivity of 70.00% and specificity of 81.69%. (5) Prognosis of HCC patients. Of the 906 patients, the 1-, 3-, and 5-year recurrence-free survival rates for 645 proliferative HCC patients were 56.9%, 31.4%, and 29.1%, respectively, and the 1-, 3-, and 5-year recurrence-free survival rates for 261 non-proliferative HCC patients were 88.8%, 68.6%, and 56.0%, respectively. There were significant differences in recurrence-free survival time between proliferative HCC and non-proliferative HCC patients of the training set, internal validation set and external validation set ( P<0.05). The 1-, 3-, 5-year recurrence-free survival rates for 331 high-risk HCC patients were 64.6%, 50.4%, 43.6%, versus 88.5%, 71.9%, 62.7% for 575 low-risk HCC patients. There were significant differences in recurrence-free survival time between high-risk HCC patients and low-risk HCC patients of the training set, internal validation set and external validation set ( P<0.05). Conclusion:The MRI-based deep learning model can effectively predict proliferative HCC and recurrence-free survival of patients before the surgery.

In recent years,the global prevalence of myopia has remained high,seriously endangering the eye health of adolescents.A large number of studies have confirmed that orthokeratology lens can control or delay the progression of my-opia and reduce the incidence of fundus lesions in high myopia.Although the efficacy of myopia control with orthokeratolo-gy has been widely recognized,its exact mechanism of action is still unclear,and there are many hypotheses.This paper re-views the role of factors such as accommodation,defocus,choroidal thickness,high-order aberrations and biomechanics in myopia control with orthokeratology,and explores how these factors jointly affect the development of myopia.

Objective To explore the clinical efficacy and medical costs of high ligation and stripping of the great saphenous vein,simple foam sclerotherapy,and high ligation of the great saphenous vein combined with foam sclerotherapy for treating varicose of great saphenous vein.Methods The clinical data of patients with varicose of great saphenous vein undergoing high ligation and stripping of the great saphenous vein,simple foam sclerotherapy,or high ligation of the great saphenous vein combined with foam sclerotherapy were analyzed retrospectively.The evaluation included efficacy assessment,quality of life evaluation,hospitalization days and costs,postoperative complications,and recurrence after surgery.Results There were no statistical differences in gender,age,disease course and clinical etiology anatomy pathophysiology(CEAP)grading system among the three groups(P＞0.05).The clinical efficacy assessments in all patients among the three groups showed significant effects at 3 and 6 months postoperatively.One patient in the group treated with high ligation of the great saphenous vein combined with foam sclerotherapy suffered deep vein thrombosis of lower extremity after operation.In terms of quality of life,there was no statistically significant difference in venous clinical severity score(VCSS)among the three groups at 3 months postoperatively(P＞0.05).The group treated with simple foam sclerotherapy showed significantly shorter hospitalization days compared with the other two groups.Additionally,the group treated with simple foam sclerotherapy showed lower hospitalization expenses,which was not statistically significant when compared to the group treated with high ligation and stripping of the great saphenous vein group(P＞0.05),but there was a statistical difference compared to the group treated with high ligation of the great saphenous vein combined with foam sclerotherapy(P＜0.05).Conclusion There are no significant differences in clinical efficacy,postoperative pain,and quality of life evaluation among the three methods.However,simple foam scle-rotherapy may reduce the length of hospitalization stay and direct medical costs.

Objective To analyze the correlation between lesion volume,lesion mass,and maximum lesion diameter in the assessment of advanced hepatocarcinoma with lung metastasis,and to evaluate the application value of total volume response and total mass response of lung metastatic lesions in efficacy assessment.Methods A retrospective analysis was conducted on the CT imaging data of 20 patients clinically confirmed with hepatocarcinoma and lung metastases,followed by subsequent follow-up to monitor their survival outcomes.Volume measurement software was used to measure the volume of lesions before and after treatment.We recored lesion diameter,volume measurements and CT values,calculated the mass of the lesions.The correlation between lesion volume,mass and diameter was analyzed,as well as the correlation between the change rates of volume,mass and lesion diameter.Additionally,the total volume and total mass of all lesions were calculated.The correlation between the change rates of total volume/total mass and the change rate of pulmonary lesion diameter under the RECIST 1.1 criteria,as well as the correlation with changes in patients'tumor markers,were analyzed.Furthermore,the overall volume response and overall mass response of lesions were evaluated based on changes in total volume and total mass,and their consistencies with the RECIST 1.1 criteria for efficacy evaluation were analyzed.Finally,univariate Cox regression analysis was performed to explore the association between these variables and patient survival outcomes.Results There was strong correlation between lesion volume,mass and tumor diameter(r=0.771,0.775),between the rate of change in mass and the rate of change in lesion diameter(r=0.846),and between the rates of change in total volume/total mass and the rate of change in pulmonary lesion diameter under the RECIST 1.1 criteria(r=0.800,0.896).The correlation between the rates of change in total volume/total mass and patients'tumor markers was not statistically significant.There was moderate correlation between the rate of change in volume and the rate of change in lesion diameter(r=0.692).The evaluation results of total volume response and total mass response for pulmonary lesions in advanced hepatocarcinoma with lung metastasis were generally consistent with the RECIST 1.1 criteria(Kappa=0.486,0.426).Univariate Cox regression analysis revealed that total lesion volume(P=0.047)and total lesion mass(P=0.049)were independent prognostic factors for survival outcomes.Conclusion Lesion volume,mass,and diameter,as well as their respective change rates,were found to be interrelated.Furthermore,total lesion volume and total lesion mass were identified as independent prognostic factors for survival outcomes.The total volume response and total mass response are promising evaluation methods in evaluating the efficacy of lung metastasis of hepatocarcinoma,which are different from the RECIST 1.1 evaluation criteria.