ObjectiveAge-related macular degeneration （AMD） is one of the leading causes of low vision and blindness in people over 50 years old， and dry AMD （dAMD） is one type for which there is currently no clear treatment. On the basis of the diagnosis and clinical characteristics of dAMD in traditional Chinese and Western medicine， this paper evaluated the fitting degrees of existing animal models of dAMD with clinical characteristics according to the evaluation methods of animal models， and put forward suggestions and prospects. MethodsLiterature on animal models of dAMD was searched against database， and the characteristics of the models were assigned according to the diagnosis criteria of diseases and syndromes of traditional Chinese and Western medicine， and the fitting degrees of the models with clinical characteristics were analyzed and evaluated. ResultsAt present， the animal models of dAMD are mainly established targeting complement factors， chemokines， oxidative damage， lipid/glucose metabolism， and natural strains. Most of the models can simulate the major pathological changes of dAMD， showing the fitting degree of 25%-50% with clinical characteristics in Western medicine. However， the evaluation of traditional Chinese medicine （TCM） syndromes， especially the evaluation of secondary syndromes， is missing， and the models present low fitting degrees with the clinical characteristics in TCM. ConclusionExisting animal models of dAMD are mostly established under the guidance of Western diagnostic standards， which reproduce the main disease characteristics of Western medicine and lack observation of TCM syndromes. Future studies can pay attention to the intervention factors and evaluation systems of spleen deficiency Qi deficiency and liver-kidney Yin deficiency syndrome and build the animal model of dAMD with integration of disease and syndrome based on clinical characteristics of traditional Chinese and Western medicine.

ObjectiveAge-related macular degeneration （AMD） is one of the leading causes of low vision and blindness in people over 50 years old， and dry AMD （dAMD） is one type for which there is currently no clear treatment. On the basis of the diagnosis and clinical characteristics of dAMD in traditional Chinese and Western medicine， this paper evaluated the fitting degrees of existing animal models of dAMD with clinical characteristics according to the evaluation methods of animal models， and put forward suggestions and prospects. MethodsLiterature on animal models of dAMD was searched against database， and the characteristics of the models were assigned according to the diagnosis criteria of diseases and syndromes of traditional Chinese and Western medicine， and the fitting degrees of the models with clinical characteristics were analyzed and evaluated. ResultsAt present， the animal models of dAMD are mainly established targeting complement factors， chemokines， oxidative damage， lipid/glucose metabolism， and natural strains. Most of the models can simulate the major pathological changes of dAMD， showing the fitting degree of 25%-50% with clinical characteristics in Western medicine. However， the evaluation of traditional Chinese medicine （TCM） syndromes， especially the evaluation of secondary syndromes， is missing， and the models present low fitting degrees with the clinical characteristics in TCM. ConclusionExisting animal models of dAMD are mostly established under the guidance of Western diagnostic standards， which reproduce the main disease characteristics of Western medicine and lack observation of TCM syndromes. Future studies can pay attention to the intervention factors and evaluation systems of spleen deficiency Qi deficiency and liver-kidney Yin deficiency syndrome and build the animal model of dAMD with integration of disease and syndrome based on clinical characteristics of traditional Chinese and Western medicine.

As the lifestyle of modern people changes,genetic factors continue to become more prominent,and the impact of environmental and water pollution,the incidence of intestinal diseases(colorectal cancer,inflammatory bowel disease,irritable bowel syndrome,chronic constipation,etc.)is increasing.It not only seriously endangers the health of the population,but also consumes a large amount of medical resources.Paeonol,as a class of small molecule phenolic compounds,has a wide range of biological activities,such as anti-inflammatory,anti-viral,anti-tumor,anti-allergic,immune regulation,cardiovascular and cerebrovascular protection,etc.The mechanism and experimental research on the effect of paeonol in preventing and treating intestinal diseases based on the"Brain-Gut-Bacteria axis"are also in-depth.This article aims to systematically review and sort out the latest progress in this field,with a view to providing certain ideas and methods for the precise treatment of intestinal diseases and the development of new drugs.

Objective To evaluates the effects of cross-balance training on knee function,dynamic balance,and rectus femoris(RF)activation in patients after anterior cruciate ligament reconstruction(ACLR).Methods Forty ACLR patients at 5th-6th week after operation were randomly divided into experimental group and control group.The experimental group received the cross-balance training on the basis of standard rehabilitation,while the control group received only standard rehabilitation.Knee function was assessed with the Lysholm score,dynamic balance,and root mean square(RMS)of RF surface electromyography.The correlation between RMS and dynamic balance was also examined.Results After intervention,the Lysholm score of the experimental group was significantly higher than that of the control group(P<0.01).Regarding balance function,both the gait line length and single support line length of the experimental group were significantly greater than those of the control group(P<0.01).Conversely,the mediolateral displacement of the experimental group was significantly lower than that of the control group(P<0.01).Furthermore,the RF RMS of the experimental group was significantly larger than that of the control group(P<0.01).The RF RMS was positively correlated with the gait line length and single support line length,whereas it was negatively correlated with the mediolateral displacement(P<0.05).Conclusions Cross-balance training significantly enhances knee function,dynamic balance,and RF activation in post-ACLR patients,supports the theory of cross-education.Cross-balance training has certain application values in ACL postoperative rehabilitation.

Objective To evaluates the effects of cross-balance training on knee function,dynamic balance,and rectus femoris(RF)activation in patients after anterior cruciate ligament reconstruction(ACLR).Methods Forty ACLR patients at 5th-6th week after operation were randomly divided into experimental group and control group.The experimental group received the cross-balance training on the basis of standard rehabilitation,while the control group received only standard rehabilitation.Knee function was assessed with the Lysholm score,dynamic balance,and root mean square(RMS)of RF surface electromyography.The correlation between RMS and dynamic balance was also examined.Results After intervention,the Lysholm score of the experimental group was significantly higher than that of the control group(P<0.01).Regarding balance function,both the gait line length and single support line length of the experimental group were significantly greater than those of the control group(P<0.01).Conversely,the mediolateral displacement of the experimental group was significantly lower than that of the control group(P<0.01).Furthermore,the RF RMS of the experimental group was significantly larger than that of the control group(P<0.01).The RF RMS was positively correlated with the gait line length and single support line length,whereas it was negatively correlated with the mediolateral displacement(P<0.05).Conclusions Cross-balance training significantly enhances knee function,dynamic balance,and RF activation in post-ACLR patients,supports the theory of cross-education.Cross-balance training has certain application values in ACL postoperative rehabilitation.

Objective:To explore the surgical treatment strategies for Mason type III radial head fractures complicated with adult Bado type II Monteggia fractures.Methods:A retrospective analysis was performed on the clinical data of 25 adult patients with Mason type III radial head fractures complicated with adult Bado type II Monteggia fractures, admitted to the Upper Extremity Orthopaedics Department of Zhengzhou Orthopaedic Hospital from June 2013 to June 2023. There were 15 males and 10 females, with an average age of 43.5±14.7 years (range: 20-67 years). Among them, 5 cases were complicated with humeroulnar joint dislocation. The patients were divided into two groups: 17 cases were treated with open reduction and internal fixation (ORIF) of radial head fractures combined with ORIF of proximal ulnar fractures (open reduction group), and 8 cases were treated with radial head replacement combined with ORIF of proximal ulnar fractures (radial head replacement group). At the last follow-up, elbow joint range of motion was recorded, and pain, elbow function, and subjective upper limb function were evaluated using the Visual Analogue Scale (VAS), Mayo Elbow Performance Score (MEPS), and Disabilities of the Arm, Shoulder and Hand (DASH) scale. The incidence of complications was also recorded.Results:All 25 patients were followed up for an average of 25.6±9.0 months (range: 12-45 months). At the last follow-up, the affected elbows in the open reduction group had a flexion of 124.47°±12.59° (range, 90°-140°), extension of 21.12°±10.07° (range, 10°-50°), pronation of 48.59°±11.62° (range, 20°-61°), and supination of 48.53°±8.43° (range, 30°-60°). In the radial head replacement group, the affected elbows showed flexion of 128.75°±13.17° (range, 100°-140°), extension of 14.00°±7.71° (range, 0°-25°), pronation of 61.25°±10.26° (range, 60°-80°), and supination of 71.88°±10.33° (range, 60°-80°). The MEPS score in the open reduction group was 82(75, 85) points (range, 55-90 points), the VAS pain score was 1(1, 2) points (range, 0-3 points), and the DASH score was 9(8, 14) points. In the radial head replacement group, the MEPS score was 90(85, 90) points (range, 85-90 points), the VAS pain score was 1(0, 1) points (range, 0-1 points), and the DASH score was 5(5, 6) points. Complications included 5 cases of heterotopic ossification, 1 case of incision infection, 1 case of nonunion, 1 case of ulnar nerve injury combined with traumatic arthritis, and 1 case of proximal radioulnar bone bridge formation.Conclusions:Both radial head replacement and open reduction internal fixation combined with proximal ulnar fracture fixation can effectively treat Mason type III radial head fractures complicated with adult Bado type II Monteggia fractures. There was no significant difference in postoperative flexion and extension, but the radial head replacement group demonstrated better forearm rotation and DASH scores postoperatively.

As the lifestyle of modern people changes,genetic factors continue to become more prominent,and the impact of environmental and water pollution,the incidence of intestinal diseases(colorectal cancer,inflammatory bowel disease,irritable bowel syndrome,chronic constipation,etc.)is increasing.It not only seriously endangers the health of the population,but also consumes a large amount of medical resources.Paeonol,as a class of small molecule phenolic compounds,has a wide range of biological activities,such as anti-inflammatory,anti-viral,anti-tumor,anti-allergic,immune regulation,cardiovascular and cerebrovascular protection,etc.The mechanism and experimental research on the effect of paeonol in preventing and treating intestinal diseases based on the"Brain-Gut-Bacteria axis"are also in-depth.This article aims to systematically review and sort out the latest progress in this field,with a view to providing certain ideas and methods for the precise treatment of intestinal diseases and the development of new drugs.

Objective:To evaluate the efficacy of preoperative prediction of regional lymph node (RLN) metastasis in renal cell carcinoma (RCC) using a machine learning model based on habitat imaging radiomics from renal MRI.Methods:This cross-sectional study retrospectively analyzed 220 patients with RCC who underwent nephrectomy and RLN dissection at four medical centers of Chinese PLA General Hospital from January 2010 to August 2023. The cohort included 65 patients with RLN metastasis and 155 without. A stratified random sampling method was used to divide 175 patients from the first medical center into a training set ( n=140) and an internal test set ( n=35) in an 8∶2 ratio, while 45 patients from the third, fourth, and fifth medical centers constituted the external test set. The primary RCC lesions were categorized into 15 habitat subregions based on corticomedullary-phase enhancement and T 2WI signal intensity on MRI, and the volume fractions of different subregions were analyzed. In the training cohort, radiomics features derived from the habitat subregions were used to construct a radiomics model employing various machine learning algorithms, including extremely random trees (ET), gradient boosting decision trees (GBDT), random forest (RF), and support vector machine (SVM). The optimal model was selected and combined with RLN short-axis diameter to develop a combined model. The efficacy of each model in predicting RLN metastasis was evaluated using the receiver operating characteristic (ROC) curve. Results:The volume fraction of hyper-enhanced hyper-intense regions in the non-metastatic group was significantly higher than that in the metastatic group (0.05±0.09 vs. 0.02±0.03; t=3.00, P=0.003). Among the machine learning models constructed using 15 optimal habitat radiomics features, the SVM model demonstrated the best performance, with area under the ROC curve (AUC) values of 0.85 (95% CI 0.72-0.98) in the internal test set and 0.82 (95% CI 0.67-0.98) in the external test set, surpassing those of the ET, GBDT, and RF models. The combined model, integrating the SVM model with RLN short-axis diameter, achieved AUC values of 0.94 (95% CI 0.85-1.00) in the internal test set and 0.89 (95% CI 0.78-1.00) in the external test set, with RLN short-axis diameter contributing AUC values of 0.81 (95% CI 0.66-0.96) and 0.81 (95% CI 0.68-0.94), respectively. The diagnostic sensitivity of the combined model was 91.7% in the internal test set and 85.7% in the external test set, with specificities of 78.3% and 67.7%, respectively. Conclusion:The combined model based on MRI habitat imaging radiomics and RLN short-axis diameter demonstrates excellent preoperative assessment capability for RLN metastasis in RCC.

Objective:To explore the surgical treatment strategies for Mason type III radial head fractures complicated with adult Bado type II Monteggia fractures.Methods:A retrospective analysis was performed on the clinical data of 25 adult patients with Mason type III radial head fractures complicated with adult Bado type II Monteggia fractures, admitted to the Upper Extremity Orthopaedics Department of Zhengzhou Orthopaedic Hospital from June 2013 to June 2023. There were 15 males and 10 females, with an average age of 43.5±14.7 years (range: 20-67 years). Among them, 5 cases were complicated with humeroulnar joint dislocation. The patients were divided into two groups: 17 cases were treated with open reduction and internal fixation (ORIF) of radial head fractures combined with ORIF of proximal ulnar fractures (open reduction group), and 8 cases were treated with radial head replacement combined with ORIF of proximal ulnar fractures (radial head replacement group). At the last follow-up, elbow joint range of motion was recorded, and pain, elbow function, and subjective upper limb function were evaluated using the Visual Analogue Scale (VAS), Mayo Elbow Performance Score (MEPS), and Disabilities of the Arm, Shoulder and Hand (DASH) scale. The incidence of complications was also recorded.Results:All 25 patients were followed up for an average of 25.6±9.0 months (range: 12-45 months). At the last follow-up, the affected elbows in the open reduction group had a flexion of 124.47°±12.59° (range, 90°-140°), extension of 21.12°±10.07° (range, 10°-50°), pronation of 48.59°±11.62° (range, 20°-61°), and supination of 48.53°±8.43° (range, 30°-60°). In the radial head replacement group, the affected elbows showed flexion of 128.75°±13.17° (range, 100°-140°), extension of 14.00°±7.71° (range, 0°-25°), pronation of 61.25°±10.26° (range, 60°-80°), and supination of 71.88°±10.33° (range, 60°-80°). The MEPS score in the open reduction group was 82(75, 85) points (range, 55-90 points), the VAS pain score was 1(1, 2) points (range, 0-3 points), and the DASH score was 9(8, 14) points. In the radial head replacement group, the MEPS score was 90(85, 90) points (range, 85-90 points), the VAS pain score was 1(0, 1) points (range, 0-1 points), and the DASH score was 5(5, 6) points. Complications included 5 cases of heterotopic ossification, 1 case of incision infection, 1 case of nonunion, 1 case of ulnar nerve injury combined with traumatic arthritis, and 1 case of proximal radioulnar bone bridge formation.Conclusions:Both radial head replacement and open reduction internal fixation combined with proximal ulnar fracture fixation can effectively treat Mason type III radial head fractures complicated with adult Bado type II Monteggia fractures. There was no significant difference in postoperative flexion and extension, but the radial head replacement group demonstrated better forearm rotation and DASH scores postoperatively.

Objective:To investigate the value of biparametric-MRI (bpMRI) based peritumoral radiomics for preoperative prediction of extraprostatic extension (EPE) in prostate cancer (PCa).Methods:In this cross-sectional study, consecutive bpMRI of patients undergoing prostatectomy for PCa were retrospectively collected from the First Medical Center (center 1) and the Third Medical Center (center 2) of Chinese PLA General Hospital. A total of 274 patients were finally enrolled. Patients at center 1 from January 2020 to December 2022 were randomly divided into a training set (149 cases) and an internal validation set (63 cases) by stratified random sampling. Patients at center 2 from January 2023 to March 2024 were assigned to the external test set (62 cases). Patients were categorized into EPE-positive group and EPE-negative group according to pathological assessment postoperatively. In the training set, there were 49 cases in EPE-positive group and 100 cases in EPE-negative group. In the internal validation set, there were 26 cases in EPE-positive group and 37 cases in EPE-negative group. In the external test set, there were 22 cases in EPE-positive group and 40 cases in EPE-negative group. Axial T 2WI and apparent diffusion coefficient (ADC) images were manually annotated to obtain index lesion regions of interest (ROIs), with the peritumoral ROIs subsequently delineated by semi-automatic segmentation technique. Radiomics features were extracted from intra-tumoral, peri-tumoral, and intra-tumoral plus peri-tumoral ROIs. The training set data was employed to select and optimize features to build the radiomics models. The logistic regression analysis was used to develop radiomics, clinical, and integrated models. The predictive performance was assessed by the area under the receiver operating characteristic curve (AUC) in the external test set, and compared by the DeLong test. The sensitivity and specificity were compared by the exact McNemar test. Results:In the external test set, the peri-tumoral radiomics model based on bpMRI showed the highest performance in evaluating EPE, with an AUC of 0.739 (95% CI 0.611-0.842), which was identified as the optimal radiomics model. EPE grade ( OR=6.151, 95% CI 3.371-11.226, P<0.001) was incorporated into the clinical model, with an AUC of 0.780 (95% CI 0.657-0.875) in the external test set. The integrated model had an AUC of 0.817 (95% CI 0.698-0.904) in the external test set. There was no statistically significant difference in comparisons of AUCs among the three models (all P>0.05). The sensitivity of the integrated model (68.2%) showed no significant difference from those of the clinical model and the optimal radiomics model (77.3% and 86.4%, respectively; P=0.500 and P=0.289). However, the specificity of the integrated model (85.0%) was significantly higher than those of the clinical model (67.5%, P=0.016) and the optimal radiomics model (50.0%, P<0.001). Conclusion:A bpMRI-based peritumoral radiomics integrating clinical model demonstrates high performance for preoperative prediction of EPE in PCa.