AIM: To compare the application of two distinct suspension suture fixation techniques in intraocular lens implantation.METHODS: Retrospective study. A total of 60 patients(60 eyes)who underwent intraocular lens suspension surgery at ophthalmology department of our hospital between January 1, 2021, and December 1, 2023 were included. Patients were divided into two groups based on the suturing techniques: the control group(n=30)received sub-scleral flap suture fixation, while the intervention group(n=30)underwent Z-shaped suture fixation. A 6 mo postoperative follow-up was conducted to assess surgical duration, visual acuity and quality, ocular structure, clinical efficacy, postoperative expose rate of sutures, diopters and decentration of intraocular lens.RESULTS:The mean operative time was significantly longer in the intervention group(50.5±3.1 min)compared to the control group(40.9±2.8 min; P<0.01). At 6 mo postoperatively, both groups demonstrated significant improvements in uncorrected and best-corrected visual acuity compared to preoperative values(both P<0.01), and there were no statistically significant differences in the uncorrected and best corrected visual acuity between the two groups(all P>0.05); at 6 mo postoperatively, the visual quality of the intervention group was better than that of the control group(P<0.05). While both groups exhibited a significant reduction in corneal endothelial cell count postoperatively(both P<0.01), there was no significant difference between the groups(P>0.05). The overall efficacy rate and suture exposure rate were comparable between the groups at 6 mo postoperatively(P=0.542 and P>0.05, respectively). However, significant differences were observed in postoperative diopters and intraocular lens decentration between the two groups(both P<0.01).CONCLUSION:Although both suture fixation techniques yielded satisfactory clinical outcomes in intraocular lens implantation, the Z-shaped suture fixation demonstrated superior performance in terms of visual quality and preservation of ocular structural integrity.

Objective To investigate the efficacy and safety of transcutaneous electrical acupoint stimulation(TEAS)in reducing the consumption of analgesics after total knee arthroplasty(TKA).Methods Totally 124 patients undergoing unilateral TKA were included and divided into an intervention group and a control group according to random number table method,with 62 cases in each group.Both groups received routine postoperative analgesic protocols,with the intervention group additionally receiving TEAS treatment,30 min per time,twice a day.The additional doses of intravenous patient-controlled analgesia pumps and opioid analgesic consumption in two groups of patients after surgery were analyzed,as well as the adverse events and laboratory test results(WBC,PLT,SCr,BUN,ALT and AST)in both groups.Results The number of additional doses in the intervention group with the patient-controlled analgesia pump and the consumption of opioid analgesic were both lower than those in the control group(P<0.05);the incidence of postoperative nausea symptoms in the intervention group was lower than that in the control group,while other adverse reactions showed no significant difference(P>0.05).There was no significant difference in laboratory test results(WBC,PLT,SCr,BUN,ALT and AST)between the two groups on the day before surgery and on the 1st and 7th days after surgery(P>0.05).Conclusion TEAS can reduce the consumption of analgesics after TKA,decrease some adverse reactions associated with the use of analgesics,and has good safety.

Objective:To study the feasibility of detecting vertical semicircular canal function and to analyze the three-dimensional(3D)characteristics and normal reference value in healthy young people.Methods:This was a cross-sectional study conducted from January to June 2024. A three-axis rotating chair was used to perform vertical sinusoidal rotation on 52 healthy young adults (26 males and 26 females, aged 18-40 years) in the left anterior-right posterior (LARP) and right anterior-left posterior (RALP) semicircular canal planes. For each plane, nystagmus was induced with six combinations of different angles and velocity front and back rotation angles of ±30°,±60°,±90°, and velocities of 40°/s and 80°/s, the slow phase velocity (SPV) and their symmetry of 3D nystagmus were analyzed. SPSS 20.0 was used to compare the statistical differences in these two parameters across different stimulation protocols.Results:There were no spontaneous nystagmus in the 52 subjects, and all tests were finished. Except the combinations of (±30°-40°/s), three components of nystagmus were induced stably in the rest of the stimulations. The SPVs of vertical components were no statistically insignificant ( P>0.05), and some horizontal or torsion components were statistically significant ( P<0.05). The 95% reference range of the symmetry was≤25% in the vertical and≤30% in the torsional component of the nystagmus except for (±30°-80°/s), the symmetry was 32.2% and 49.2% respectively. The trend changes of the three components were consistent, among which the vertical and torsional components induced by (±60°-80°/s) and (±90°-80°/s) were the best, the SPV value of the vertical components was higher in the latter group than the former apart from the front RALP, while no significant difference was found in the torsional components ( P>0.05). Conclusion:The (±90°-80°/s) combination is the optimal method to detect the function of vertical semicircular canal in 3D chair test. When observing torsional component, the combining scheme of (±60°-80°/s) and (±90°-80°/s) is better. Considering tolerance, the (±60°-80°/s) combination is recommended.

Objective:To develop a preoperative differentiation model for colorectal mucinous adenocarcinoma and non-mucinous adenocarcinoma using a combination of contrast-enhanced CT radiomics and deep learning methods.Methods:This is a retrospective cohort study. Clinical data of colorectal cancer patients confirmed by postoperative pathological examination were retrospectively collected from January 2016 to December 2023 at Shanghai General Hospital Affiliated to Shanghai Jiao Tong University School of Medicine (Center 1, n=220) and the First Affiliated Hospital of Bengbu Medical University (Center 2, n=51). Among them, there were 108 patients diagnosed with mucinous adenocarcinoma, including 55 males and 53 females, with an age of (68.4±12.2) years (range: 38 to 96 years); and 163 patients diagnosed with non-mucinous adenocarcinoma, including 96 males and 67 females, with an age of (67.9±11.0) years (range: 43 to 94 years). The cases from Center 1 were divided into a training set ( n=156) and an internal validation set ( n=64) using stratified random sampling in a 7∶3 ratio, and the cases from Center 2 were used as an independent external validation set ( n=51). Three-dimensional tumor volume of interest was manually segmented on venous-phase contrast-enhanced CT images. Radiomics features were extracted using PyRadiomics, and deep learning features were extracted using the ResNet-18 network. The two sets of features were then combined to form a joint feature set. The consistency of manual segmentation was assessed using the intraclass correlation coefficient. Feature dimensionality reduction was performed using the Mann-Whitney U test and the least absolute shrinkage and selection operator regression. Six machine learning algorithms were used to construct models based on radiomics features, deep learning features, and combined features, including support vector machine, logistic regression, random forest, extreme gradient boosting, k-nearest neighbors, and decision tree. The discriminative performance of each model was evaluated using receiver operating characteristic curves, the area under the curve (AUC), DeLong test, and decision curve analysis. Results:After feature selection, 22 features with the most discriminative value were finally retained, among which 12 were traditional radiomics features and 10 were deep learning features. In the internal validation set, the Random Forest algorithm based on the combined features model achieved the best performance (AUC=0.938, 95% CI: 0.875 to 0.984), which was superior to the single-modality radiomics feature model (AUC=0.817, 95% CI: 0.702 to 0.913, P=0.048) and the deep learning feature model (AUC=0.832, 95% CI: 0.727 to 0.926, P=0.087); in the independent external validation set, the Random Forest algorithm with the combined features model maintained the highest discriminative performance (AUC=0.891, 95% CI: 0.791 to 0.969), which was superior to the single-modality radiomics feature model (AUC=0.770, 95% CI: 0.636 to 0.890, P=0.045) and the deep learning feature model (AUC=0.799, 95% CI: 0.652 to 0.911, P=0.169). Conclusion:The combined model based on radiomics and deep learning features from venous-phase enhanced CT demonstrates good performance in the preoperative differentiation of colorectal mucinous from non-mucinous adenocarcinoma.

Objective To investigate the efficacy and safety of transcutaneous electrical acupoint stimulation(TEAS)in reducing the consumption of analgesics after total knee arthroplasty(TKA).Methods Totally 124 patients undergoing unilateral TKA were included and divided into an intervention group and a control group according to random number table method,with 62 cases in each group.Both groups received routine postoperative analgesic protocols,with the intervention group additionally receiving TEAS treatment,30 min per time,twice a day.The additional doses of intravenous patient-controlled analgesia pumps and opioid analgesic consumption in two groups of patients after surgery were analyzed,as well as the adverse events and laboratory test results(WBC,PLT,SCr,BUN,ALT and AST)in both groups.Results The number of additional doses in the intervention group with the patient-controlled analgesia pump and the consumption of opioid analgesic were both lower than those in the control group(P<0.05);the incidence of postoperative nausea symptoms in the intervention group was lower than that in the control group,while other adverse reactions showed no significant difference(P>0.05).There was no significant difference in laboratory test results(WBC,PLT,SCr,BUN,ALT and AST)between the two groups on the day before surgery and on the 1st and 7th days after surgery(P>0.05).Conclusion TEAS can reduce the consumption of analgesics after TKA,decrease some adverse reactions associated with the use of analgesics,and has good safety.

Objective:To study the feasibility of detecting vertical semicircular canal function and to analyze the three-dimensional(3D)characteristics and normal reference value in healthy young people.Methods:This was a cross-sectional study conducted from January to June 2024. A three-axis rotating chair was used to perform vertical sinusoidal rotation on 52 healthy young adults (26 males and 26 females, aged 18-40 years) in the left anterior-right posterior (LARP) and right anterior-left posterior (RALP) semicircular canal planes. For each plane, nystagmus was induced with six combinations of different angles and velocity front and back rotation angles of ±30°,±60°,±90°, and velocities of 40°/s and 80°/s, the slow phase velocity (SPV) and their symmetry of 3D nystagmus were analyzed. SPSS 20.0 was used to compare the statistical differences in these two parameters across different stimulation protocols.Results:There were no spontaneous nystagmus in the 52 subjects, and all tests were finished. Except the combinations of (±30°-40°/s), three components of nystagmus were induced stably in the rest of the stimulations. The SPVs of vertical components were no statistically insignificant ( P>0.05), and some horizontal or torsion components were statistically significant ( P<0.05). The 95% reference range of the symmetry was≤25% in the vertical and≤30% in the torsional component of the nystagmus except for (±30°-80°/s), the symmetry was 32.2% and 49.2% respectively. The trend changes of the three components were consistent, among which the vertical and torsional components induced by (±60°-80°/s) and (±90°-80°/s) were the best, the SPV value of the vertical components was higher in the latter group than the former apart from the front RALP, while no significant difference was found in the torsional components ( P>0.05). Conclusion:The (±90°-80°/s) combination is the optimal method to detect the function of vertical semicircular canal in 3D chair test. When observing torsional component, the combining scheme of (±60°-80°/s) and (±90°-80°/s) is better. Considering tolerance, the (±60°-80°/s) combination is recommended.

Objective:To develop a preoperative differentiation model for colorectal mucinous adenocarcinoma and non-mucinous adenocarcinoma using a combination of contrast-enhanced CT radiomics and deep learning methods.Methods:This is a retrospective cohort study. Clinical data of colorectal cancer patients confirmed by postoperative pathological examination were retrospectively collected from January 2016 to December 2023 at Shanghai General Hospital Affiliated to Shanghai Jiao Tong University School of Medicine (Center 1, n=220) and the First Affiliated Hospital of Bengbu Medical University (Center 2, n=51). Among them, there were 108 patients diagnosed with mucinous adenocarcinoma, including 55 males and 53 females, with an age of (68.4±12.2) years (range: 38 to 96 years); and 163 patients diagnosed with non-mucinous adenocarcinoma, including 96 males and 67 females, with an age of (67.9±11.0) years (range: 43 to 94 years). The cases from Center 1 were divided into a training set ( n=156) and an internal validation set ( n=64) using stratified random sampling in a 7∶3 ratio, and the cases from Center 2 were used as an independent external validation set ( n=51). Three-dimensional tumor volume of interest was manually segmented on venous-phase contrast-enhanced CT images. Radiomics features were extracted using PyRadiomics, and deep learning features were extracted using the ResNet-18 network. The two sets of features were then combined to form a joint feature set. The consistency of manual segmentation was assessed using the intraclass correlation coefficient. Feature dimensionality reduction was performed using the Mann-Whitney U test and the least absolute shrinkage and selection operator regression. Six machine learning algorithms were used to construct models based on radiomics features, deep learning features, and combined features, including support vector machine, logistic regression, random forest, extreme gradient boosting, k-nearest neighbors, and decision tree. The discriminative performance of each model was evaluated using receiver operating characteristic curves, the area under the curve (AUC), DeLong test, and decision curve analysis. Results:After feature selection, 22 features with the most discriminative value were finally retained, among which 12 were traditional radiomics features and 10 were deep learning features. In the internal validation set, the Random Forest algorithm based on the combined features model achieved the best performance (AUC=0.938, 95% CI: 0.875 to 0.984), which was superior to the single-modality radiomics feature model (AUC=0.817, 95% CI: 0.702 to 0.913, P=0.048) and the deep learning feature model (AUC=0.832, 95% CI: 0.727 to 0.926, P=0.087); in the independent external validation set, the Random Forest algorithm with the combined features model maintained the highest discriminative performance (AUC=0.891, 95% CI: 0.791 to 0.969), which was superior to the single-modality radiomics feature model (AUC=0.770, 95% CI: 0.636 to 0.890, P=0.045) and the deep learning feature model (AUC=0.799, 95% CI: 0.652 to 0.911, P=0.169). Conclusion:The combined model based on radiomics and deep learning features from venous-phase enhanced CT demonstrates good performance in the preoperative differentiation of colorectal mucinous from non-mucinous adenocarcinoma.

Objective To explore the effects of transcutaneous electrical acupoint stimulation(TEAS)combined with multi-model analgesia on infrared thermal imaging characteristics and pain after total knee arthroplasty(TKA).Methods A total of 74 patients with TKA were divided into the treatment group and the control group according to random number table method,with 37 cases in each group.The control group was treated with multi-model analgesia,and the treatment group was treated with TEAS on the basis of multi-model analgesia for 30 min,once in the morning and afternoon before the patient's rehabilitation exercise 1-7 days after surgery.The infrared thermal imaging data,visual analogue scale(VAS)score,Western Ontario and McMaster Universities Osteoarthritis Index(WOMAC)score and pain threshold of the two groups were recorded and analyzed before and at different time points after operation.Results There were 2 cases dropped out in each group.Compared with before surgery,both groups had an increase in knee joint temperature on the surgical side 14 days after surgery(P<0.05),and the temperature in the treatment group was lower than that in the control group(P<0.05).The self knee temperature difference in the treatment group was lower than that in the control group 14 days after surgery(P<0.05).Compared with before surgery,the VAS score of the treatment group decreased 3 and 7 days after surgery(P<0.05),while the VAS score of the control group decreased 7 days after surgery(P<0.05);compared with the control group at 3 and 7 days after surgey,the VAS score of the treatment group was lower than that of the control group.Compared with before surgery,the WOMAC scores of both groups increased 7 days after surgery(P<0.05);after 7 days of surgery,the WOMAC score of the treatment group was lower than that of the control group(P<0.05).Compared with before surgery,the pain threshold values of both groups increased 7 days after surgery(P<0.05);compared with the control group at 3 and 7 days after surgery,the pain threshold values of the treatment group was higher than that of the control group(P<0.05).Conclusion TEAS combined with multi-model analgesia can reduce the temperature of the knee joint,relieve the pain of the operated limb,and promote the early functional recovery of the knee joint after TKA.Infrared thermal imaging technology has a certain application value in indirectly assessing the degree of postoperative pain and detecting early infection of the affected limb.

Objective To investigate the effects of transcutaneous electrical acupoint stimulation(TEAS)combined with multimodal analgesia on short-term and long-term joint function after total knee arthroplasty(TKA).Methods Totally 110 patients with TKA were divided into the treatment group and the control group according to random number table method,with 55 cases in each group.The control group was treated with multimodal analgesia,and the treatment group was treated with TEAS on the basis of multimodal analgesia.The VAS score,pain threshold value,WOMAC score and SF-12 score of the two groups before and at different time points after operation were recorded and analyzed.Results The VAS score of the treatment group was lower than that of the control group on the 3rd and 7th day after operation(P<0.05).On the 7th day after operation,the knee pain threshold in the treatment group was higher than that in the control group(P<0.05).The WOMAC score of the treatment group was lower than that of the control group at the 1st,2nd,4th and 12th week after operation(P<0.05).At the 4th and 12th week after operation,the SF-12 score of the treatment group was higher than that of the control group(P<0.05).Conclusion TEAS combined with multimodal analgesia can relieve the pain after TKA,and promote the recovery of joint function in the short term and long term,and the improvement effect in the short term is more obvious than that in the long term.

Objective:The purpose of this study was to analyze the pharmacoeconomic research progress on nutrition therapy for cancer patients in recent ten years and explore the research hotspots in this field.Method:Bibliometric analysis was conducted based on Web of Science core database using CiteSpace, VOSviewer, Gephi and Scimago Graphics.Results:A total of 647 researches in the field of pharmacoeconomics about nutrition therapy for cancer patients published from 2013 to 2022 were included, with the annual publication output peaking in 2022. A total of 286 authors from 94 countries or regions have conducted relevant research. Among the 306 institutions involved in our study, the World Health Organization was with the most citations, and the journal with the most citations was Clinical nutrition. The United States, China and the United Kingdom were the top three countries concerning publication outputs. Harvard University was the most important research institution in this field, and the authors with the highest publication volume was Carli Francesco. Keyword analysis identified colorectal cancer as the most important research topic. Keyword clustering resulted in 16 groups, among which enteral nutrition was the largest, and the burst keyword was enhanced recovery after surgery. Conclusions:This study found that research hotspots in nutrition therapy for cancer patients have mainly focused on colorectal cancer and enhanced recovery after surgery in the past decade, and enteral nutrition is also an important research topic in this field. With the emerging precision medicine, based on big data and individual patient conditions (especially patients with colorectal cancer), tailored whole-course perioperative nutrition management program with superior cost-effectiveness may represent the future research trend.