BACKGROUND:Patients with lumbar disc herniation have different physical deformities due to nucleus pulposus compression and mechanical imbalance. On this basis,Professor Feng Tianyou proposed the "four-step waist type." Professor Feng Wei proposed the objective quantification of three-dimensional scoliosis angle "four-step waist type."OBJECTIVE:To explore the application value of three-dimensional scoliosis angle in evaluating the efficacy of Feng's spinal manipulation in the treatment of patients with lumbar disc herniation.METHODS:A total of 149 hospitalized patients with lumbar disc herniation were enrolled sequentially,including 96 cases of type-Ⅰ/Ⅱ and 55 cases of type-Ⅲ/Ⅳ. The patients were treated with manual therapy for 2 weeks,and 10 healthy volunteers were included as healthy controls. The three-dimensional scoliosis angle was measured using surface topography technology. The difference of three scoliosis angles between patients with type-Ⅰ/Ⅱ and type-Ⅲ/Ⅳ was compared before and after treatment. The difference between patients after treatment and healthy subjects was compered. The difference of three-dimensional scoliosis angles between type-Ⅰ/Ⅱ and type-Ⅲ/Ⅳ after treatment was compared. The intrinsic correlation of each projection plane of three-dimensional scoliosis angle and its correlation with commonly used clinical efficacy scores were explored.RESULTS AND CONCLUSION:(1) The three-dimensional scoliosis angle was significantly different in patients with type-Ⅰ/Ⅱ and type-Ⅲ/Ⅳ before and after treatment (P<0.05). (2) There were significant differences in coronal curve angle and transverse curve angle between patients with type-Ⅰ/Ⅱ,type-Ⅲ/Ⅳ and healthy subjects (P<0.05),but there was no significant difference in sagittal curve angle (P>0.05). (3) There was a correlation between the angles of each section of the three-dimensional angle,and there was a correlation between the three-dimensional angle and the subjective scale. (4) It is indicated that the three-dimensional scoliosis angle can quantitatively evaluate the changes of body deformity before and after treatment. Quantitative indicators can reveal the changes in the patient's condition before and after treatment. The three-dimensional scoliosis angle can reflect the severity of the impact on the patient's living conditions,but the evaluation of scoliosis by a single plane parameter has certain limitations.

Objective To construct a trajectory model for the changes in body roundness index(BRI)of elderly people in China from 2011 to 2018 based on the data derived from Chinese Longitudinal Healthy Longevity Survey(CLHLS),and analyze the influencing factors of different BRI trajectories.Methods Based on the longitudinal cohort data from the CLHLS platform,group-based trajectory model(GBTM)analysis was used to construct longitudinal change trajectories of 3 waves of BRI(2011,2014,and 2018)that meet our research criteria.Unordered multinomial logistic regression analysis was employed to identify the influencing factors of different BRI trajectories.Results A total of 2 512 valid samples were included in the analysis.The BRI trajectory of Chinese elderly people fitted by GBTM was optimally grouped into low-,medium-,and high-level growth trajectory models.There were statistically significant differences among different BRI trajectory groups in gender,length of education,resident place,living with spouse,retirement pension,sleep quality,smoking history,drinking history,continuous exercise,frequency of fruit consumption,frequency of salt-preserved vegetables consumption,and"fruit+protein"dietary patterns(P<0.05).Disordered multiclass logistic regression analysis found that,using the low-level growth trajectory model as a reference,males and those with a history of smoking were less likely to exhibit moderate to high growth levels of BRI trajectories;Elderly people with retirement pensions were more likely to exhibit a moderate to high growth level of BRI trajectory;People with a history of alcohol consumption were more likely to exhibit a moderate steady growth level of BRI trajectory;People with longer than 10 years of education were less likely to exhibit a high level of growth in the BRI trajectory,while urban residents and those who frequently consumed fruits and salted vegetables were more likely to exhibit a high level of growth in the BRI trajectory.Conclusion The trajectory of BRI changes among elderly people in China from 2011 to 2018 can be divided into 3 groups,which are influenced by multiple factors such as gender,resident place,and length of education.It is necessary to pay attention to and make measures in advance to improve the quality of life in the elderly.Countermeasures It is advisable to incorporate BRI as a core indicator in elderly health monitoring systems,establish a dynamic management mechanism for high-risk populations,and implement precision-targeted lifestyle interventions and health guidance.

Objective:To investigate the application value of dual-layer detector spectral CT in the precise outlining of gross tumor volume (GTV) in lung cancer patients.Methods:Imaging data of 39 patients with pathologically confirmed lung cancer on dual-energy enhanced CT scans in Hebei Medical University Third Hospital were retrospectively analyzed. Among them, 13 patients were not complicated with lung atelectasis and 26 cases were complicated with lung atelectasis and 9 of them received positron emission computed tomography (PET-CT) scan. The virtual single-energy images of arterial and venous dual-phase 40 keV images were reconstructed with the spectral base images of Iqon dual-energy CT, and the GTV of the primary foci was outlined using the reconstructed images and conventional enhanced CT images. The GTV outlined by conventional enhanced CT image, 40 keV virtual monoenergetic (VM) CT image, 40 keV VM-iodine density (VM-ID) fusion image in the arterial phase, conventional enhanced CT image, 40 keV VM image and 40 keV VM-ID image in the venous phase and PET-CT image was defined as GTV ACT, GTV A40VM, GTV A40VMID, GTV VCT, GTV V40VM, GTV V40VMID and GTV PET-CT, respectively. The consistency of target area outlining was assessed by calculating the GTV volume, the Dice similarity coefficient (DSC), and the 95 th percentile of the Hausdorff distance (HD95). Pairwise comparison among groups was conducted by Friedman test and corrected by Bonferroni correction. Results:In GTV comparisons, the differences in GTV ACT, GTV VCT, GTV A40VM and GTV V40VM in patients without pulmonary atelectasis were not statistically significant ( χ2=1.89, P=0.595). The DSC and HD95 of GTV ACTvs. GTV A40VM were 0.96 and 3.00, and the DSC and HD95 of GTV VCTvs. GTV V40VM were 0.94 and 2.93, respectively. The differences in GTV ACT, GTV A40VM, GTV A40VMID, GTV VCT, GTV V40VM, GTV V40VMID and GTV PET-CT in patients complicated with pulmonary atelectasis were statistically significant (all P<0.001). Pairwise comparison of Bonferroni correction showed that there was no statistically significant difference in GTV A40VM, GTV A40VMID, GTV V40VM, GTV V40VMID and GTV PET-CT (all P=1.000), all of which were significantly smaller than those of GTV ACT and GTV VCT (both P=0.001), and there was no statistically significant difference between GTV ACT and GTV VCT (both P=1.000). Based on the tumor extent shown by PET-CT (standardized uptake value =2.5), DSC were slightly higher and HD95 were slightly lower than conventional enhanced CT of GTV A40VM, GTV V40VM, GTV A40VMID, GTV V40VMIDvs. GTV PET-CT, respectively. When the arterial phase sequences were compared with PET-CT, pairwise comparison of Bonferroni correction showed that the DSC and HD95 of GTV A40VMvs. GTV PET-CT and GTV ACTvs. GTV PET-CT were statistically significant (both P<0.01), and the differences were not statistically significant among the remaining groups (all P>0.05). When intravenous phase sequences were compared with PET-CT, pairwise comparison of Bonferroni correction revealed that the DSC and HD95 of GTV V40VMIDvs. GTV PET-CT and GTV VCTvs. GTV PET-CT were statistically significant (both P<0.01), and the differences were not statistically significant among the remaining groups (all P>0.05). Conclusions:The use of 40 keV VMI-ID fusion images to outline the target area of the primary tumor lesions is closer to that of PET-CT, which provides a novel option for the precise outlining of the target area of clinical radiotherapy.

Health behavior motivation significantly affects the quality of life of patients with cardiovascular diseases.Assessing the level of health behavior motivation can measure the health behavior of individuals,help to promote the participation rate of cardiac rehabilitation,reduce the readmission rate of patients,and promote patients'healthy lifestyles.This article reviews the content,characteristics and application of assessment tools for health behavior motivation of patients with cardiovascular diseases at home and abroad,with the aim of providing references for the development and application of such tools in China,and offering a basis for scientifically assessing their health behavior motivation level and formulating effective strategies to promote health behavior motivation.

Objective To analyze the risk factors for moderate-to-severe coronary artery stenosis in the population of Tacheng,Xinjiang Uygur Autonomous Region,and to construct and verify a nomogram prediction model for the degree of coronary artery ste-nosis.Methods We retrospectively selected 629 patients who were hospitalized in the Cardiovascular Department of Tacheng Peo-ple's Hospital from January 2021 to June 2023.Using R language software,the sociodemographic data,disease-related data,and va-rious laboratory indicators of the 629 patients were included in the initial screening of risk factors for use in the LASSO regression analysis using a random number table method.The 629 patients were divided into a training group(n=440)and a validation group(n=189)in a 7:3 ratio.Data from the training group were used for model construction,with the degree of coronary artery stenosis as the dependent variable,and the variables selected by LASSO regression as independent variables in the logistic regression model.The validation group was used for model validation.Based on the results of the logistic regression analysis,a visual nomogram for predicting the degree of co-ronary artery stenosis was constructed using R language software.The discriminability,calibration,and clinical utility of the model were evaluated using the area under the receiver operating characteristic curve(AUC),a calibration curve,and decision curve analysis(DCA).Results Age,non-Han ethnicity,hypertension,hyperlipidemia,and a history of cerebrovascular disease were risk factors for mode-rate-to-severe coronary artery stenosis and were included in the risk prediction model.The AUC of the training group and the validation group were 0.905(95％CI:0.790-0.863)and 0.864(95％CI:0.744-0.861),respectively.The predicted values of the calibration curve were consistent with the actual values(Brier scores of the training and validation group:0.03 and 0.14,respectively).The predictive per-formance of the model was good,and the DC A results indicated that the model had net clinical benefits.Conclusion The risk prediction model for coronary artery stenosis in the population of the Tacheng area constructed in this study has good predictive performance and can provide a simple,feasible,economical,and easy-to-promote evaluation tool for medical personnel to screen patients with moderate-to-se-vere coronary artery stenosis.

With the widespread application of information technology in the field of Traditional Chinese Medicine(TCM),the data in the TCM domain is becoming increasingly rich.The emergence of data-driven research in TCM has utilized knowledge graphs for the management,analysis,and presentation of TCM data,becoming a crucial method for the inheritance and innovation of Traditional Chinese Medicine.Therefore,reasoning based on TCM knowledge graphs has become a hot topic in contemporary TCM research.In order to better utilize knowledge graph reasoning technology to promote innovation and development in TCM,this article,after providing an overview of TCM knowledge graph reasoning,focuses on the development of knowledge graph reasoning in TCM and its applications from three perspectives:logic rule-based,distributed representation,and neural network-based methods.Finally,the article summarizes the advantages and disadvantages of knowledge reasoning methods and provides prospects for research and applications in TCM knowledge graph reasoning,including studies on interpretability,temporal knowledge graphs,and the fusion of multimodal information.

BACKGROUND:Patients with lumbar disc herniation have different physical deformities due to nucleus pulposus compression and mechanical imbalance. On this basis,Professor Feng Tianyou proposed the "four-step waist type." Professor Feng Wei proposed the objective quantification of three-dimensional scoliosis angle "four-step waist type."OBJECTIVE:To explore the application value of three-dimensional scoliosis angle in evaluating the efficacy of Feng's spinal manipulation in the treatment of patients with lumbar disc herniation.METHODS:A total of 149 hospitalized patients with lumbar disc herniation were enrolled sequentially,including 96 cases of type-Ⅰ/Ⅱ and 55 cases of type-Ⅲ/Ⅳ. The patients were treated with manual therapy for 2 weeks,and 10 healthy volunteers were included as healthy controls. The three-dimensional scoliosis angle was measured using surface topography technology. The difference of three scoliosis angles between patients with type-Ⅰ/Ⅱ and type-Ⅲ/Ⅳ was compared before and after treatment. The difference between patients after treatment and healthy subjects was compered. The difference of three-dimensional scoliosis angles between type-Ⅰ/Ⅱ and type-Ⅲ/Ⅳ after treatment was compared. The intrinsic correlation of each projection plane of three-dimensional scoliosis angle and its correlation with commonly used clinical efficacy scores were explored.RESULTS AND CONCLUSION:(1) The three-dimensional scoliosis angle was significantly different in patients with type-Ⅰ/Ⅱ and type-Ⅲ/Ⅳ before and after treatment (P<0.05). (2) There were significant differences in coronal curve angle and transverse curve angle between patients with type-Ⅰ/Ⅱ,type-Ⅲ/Ⅳ and healthy subjects (P<0.05),but there was no significant difference in sagittal curve angle (P>0.05). (3) There was a correlation between the angles of each section of the three-dimensional angle,and there was a correlation between the three-dimensional angle and the subjective scale. (4) It is indicated that the three-dimensional scoliosis angle can quantitatively evaluate the changes of body deformity before and after treatment. Quantitative indicators can reveal the changes in the patient's condition before and after treatment. The three-dimensional scoliosis angle can reflect the severity of the impact on the patient's living conditions,but the evaluation of scoliosis by a single plane parameter has certain limitations.

Health behavior motivation significantly affects the quality of life of patients with cardiovascular diseases.Assessing the level of health behavior motivation can measure the health behavior of individuals,help to promote the participation rate of cardiac rehabilitation,reduce the readmission rate of patients,and promote patients'healthy lifestyles.This article reviews the content,characteristics and application of assessment tools for health behavior motivation of patients with cardiovascular diseases at home and abroad,with the aim of providing references for the development and application of such tools in China,and offering a basis for scientifically assessing their health behavior motivation level and formulating effective strategies to promote health behavior motivation.

With the widespread application of information technology in the field of Traditional Chinese Medicine(TCM),the data in the TCM domain is becoming increasingly rich.The emergence of data-driven research in TCM has utilized knowledge graphs for the management,analysis,and presentation of TCM data,becoming a crucial method for the inheritance and innovation of Traditional Chinese Medicine.Therefore,reasoning based on TCM knowledge graphs has become a hot topic in contemporary TCM research.In order to better utilize knowledge graph reasoning technology to promote innovation and development in TCM,this article,after providing an overview of TCM knowledge graph reasoning,focuses on the development of knowledge graph reasoning in TCM and its applications from three perspectives:logic rule-based,distributed representation,and neural network-based methods.Finally,the article summarizes the advantages and disadvantages of knowledge reasoning methods and provides prospects for research and applications in TCM knowledge graph reasoning,including studies on interpretability,temporal knowledge graphs,and the fusion of multimodal information.

Objective To analyze the risk factors for moderate-to-severe coronary artery stenosis in the population of Tacheng,Xinjiang Uygur Autonomous Region,and to construct and verify a nomogram prediction model for the degree of coronary artery ste-nosis.Methods We retrospectively selected 629 patients who were hospitalized in the Cardiovascular Department of Tacheng Peo-ple's Hospital from January 2021 to June 2023.Using R language software,the sociodemographic data,disease-related data,and va-rious laboratory indicators of the 629 patients were included in the initial screening of risk factors for use in the LASSO regression analysis using a random number table method.The 629 patients were divided into a training group(n=440)and a validation group(n=189)in a 7:3 ratio.Data from the training group were used for model construction,with the degree of coronary artery stenosis as the dependent variable,and the variables selected by LASSO regression as independent variables in the logistic regression model.The validation group was used for model validation.Based on the results of the logistic regression analysis,a visual nomogram for predicting the degree of co-ronary artery stenosis was constructed using R language software.The discriminability,calibration,and clinical utility of the model were evaluated using the area under the receiver operating characteristic curve(AUC),a calibration curve,and decision curve analysis(DCA).Results Age,non-Han ethnicity,hypertension,hyperlipidemia,and a history of cerebrovascular disease were risk factors for mode-rate-to-severe coronary artery stenosis and were included in the risk prediction model.The AUC of the training group and the validation group were 0.905(95％CI:0.790-0.863)and 0.864(95％CI:0.744-0.861),respectively.The predicted values of the calibration curve were consistent with the actual values(Brier scores of the training and validation group:0.03 and 0.14,respectively).The predictive per-formance of the model was good,and the DC A results indicated that the model had net clinical benefits.Conclusion The risk prediction model for coronary artery stenosis in the population of the Tacheng area constructed in this study has good predictive performance and can provide a simple,feasible,economical,and easy-to-promote evaluation tool for medical personnel to screen patients with moderate-to-se-vere coronary artery stenosis.