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 explore the role of ocular vestibular evoked myogenic potential (oVEMP) and unilateral centrifugation subjective visual vertical (UC-SVV) tests in evaluating the utricular function of patients with Meniere’s disease (MD) at different clinical stages. Methods A total of 97 unilateral MD patients at Shandong Provincial ENT Hospital from July 2019 to September 2021 were selected. All patients underwent oVEMP, UC-SVV, and pure tone audiometry tests. MD patients were classified into clinical stages 1, 2, 3, and 4, with stages 1 and 2 defined as early stage and stages 3 and 4 as late stage. The results of utricular function tests (abnormal rates of oVEMP, UC-SVV, and oVEMP＋UC-SVV) were compared among patients at different stages. Spearman correlation analysis was used to evaluate the correlation between utricular function and clinical staging. Results Among the 97 MD patients, the abnormal rate of oVEMP was 66.0% (64/97), and the abnormal rate of UC-SVV was 55.7% (54/97). The abnormal rates of oVEMP and oVEMP＋UC-SVV in early-stage patients were significantly lower than those in late-stage patients (P＜0.05), while the difference in UC-SVV abnormal rates between the two groups was not statistically significant. Intra-group comparisons showed that the abnormal rate of oVEMP＋UC-SVV in stage 1 patients was significantly lower than that in stage 2 patients (P＜0.05), without significant difference in the other indices. There were no significant differences among the three indices in stages 3 and 4 patients. Spearman correlation test results indicated that the abnormal rate of oVEMP (r＝0.336, P＝0.001) and the abnormal rate of oVEMP＋UC-SVV (r＝0.301, P＝0.003) were weakly positively correlated with clinical staging, while there was no correlation between the abnormal rate of UC-SVV and clinical staging (r＝0.022, P＝0.832). Conclusions Both oVEMP and UC-SVV tests can assess utricular function in MD patients at different clinical stages. Their combination is helpful of early-stage (stages 1 and 2) MD diagnosis.

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 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: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.

Objective:To establish an irritant contact dermatitis(ICD)model induced by sodium dodecyl sulfate(SDS)in mice,and explore its endotype to provide an experimental and theoretical basis for subsequent precise treatment.Methods:Mice were randomly divided into two groups(model group and control group),4%SDS was topically applied to induce ICD in mice,saline was used on control group,the dose and frequency were consistent with model group,and the skin lesions of mice were observed.Epidermal thickness and inflammatory cell infiltration were analyzed by HE staining,toluidine blue staining and immunofluorescence staining.Real-time quantitative PCR was performed to investigate mRNA expression levels of cytokines.Results:Compared with control group,mice in ICD model group showed epidermal thickness on the back of neck,and the numbers of inflammatory cells were increased in dermis.The number of neutrophils,macrophages and T cells were increased.Expressions of Il17a and Il17f mRNA levels were increased.Conclusion:SDS-induced ICD model is successfully established,with the elevated infiltration of neutrophils,macrophages and T cells,and secretion of type 17 cytokines.

Objective:To explore the application effect of a multidisciplinary collaborative model led by stomatognathic therapists, utilizing a combination of platelet-rich plasma (PRP) and moist wound dressings in the comprehensive treatment of postoperative chronic wounds, and to provide references and guidance for improving the clinical practice and management level of patients with chronic wounds.Methods:This was a prospective randomized controlled trial. Eighty-eight patients with postoperative non-healing chronic wounds who visited the Chronic Wound Care Clinic of the Third Affiliated Hospital of Guangzhou Medical University from October 2018 to February 2023 were conveniently sampled. They were randomly divided into two groups using a coin toss method: the control group ( n = 41) received standard moist wound dressing therapy, while the experimental group ( n = 47) received comprehensive treatment based on PRP combined with moist wound dressings. This treatment, led by enterostoml therpist, involved the innovative nursing technique of simultaneous injection of PRP and coagulant mixture via a three-way connector and covering with ultra-thin foam dressing. The Pressure Ulcer Scale for Healing (PUSH) score, wound area healing index (WSHI), pain level during dressing change, wound healing time, and treatment satisfaction rate were observed in both groups. Results:Among 88 cases, there were 25 females and 16 males in the control group, aged 58.00 (37.00 ± 79.00) years old. There were 31 females and 16 males in the experimental group, aged 57.00 (35.00 ± 72.00) years old. The median PUSH scores of the experimental group on the 7th, 14th, and 21th day after wound treatment were 11.00, 9.00, and 7.00, respectively, which were better than those of the control group, which were 13.00, 11.00, and 9.00. The median WSHI scores were 0.35, 0.58, and 0.84 for the experimental group, respectively, which were better than those of the control group, which were 0.09, 0.30, and 0.50. The differences between the two groups were statistically significant ( Z values ranged from 4.08 to 8.20, all P<0.01). On the 7th, 14th, and 21st day of treatment, the pain scores of the experimental group were 3.00 (2.00,3.00), 2.00 (1.00, 2.00), 0.00 (0.00,1.00) points, respectively, which were lower than the 3.00 (3.00,3.50), 2.00 (2.00,3.00), and 2.00 (1.00, 2.00) points of the control group, and the differences were statistically significant ( Z values were 2.16, 3.38, 6.14, all P<0.05). The healing time in the experimental group was (37.04 ± 25.33) days, which was shorter than that in the control group, (52.88 ± 36.58) days, and the difference was statistically significant ( t = 5.53, P<0.05). The satisfaction rate in the experimental group was 97.87% (46/47), significantly higher than 87.80% (36/41) in the control group ( χ2 = 3.13, P<0.05). Conclusions:Under the leadership of stomatognathic therapists, the multidisciplinary collaborative model, employing comprehensive treatment techniques centered around PRP combined with moist wound dressings, demonstrated significant therapeutic efficacy for postoperative chronic wounds including shortening healing time, accelerating healing speed, reducing wound pain, and improving patient satisfaction, indicating high clinical application value and social benefits.

Objective To investigate the diagnostic value of the T2WI gray scale ratio for Hashimoto's thyroiditis(HT).Methods The T2WI-iterative decomposition of water and fat with echo asymmetry and least square estimation(IDEAL)quantitation sequence water images of 22 HT cases were analyzed retrospectively.The gray scale ratio of the thyroid,sternocleidomastoid muscle,trachea cavity,and subcutaneous fat at the same layer were measured on the picture archiving and communication systems(PACS).The gray scale ratios of thyroid/sternocleidomastoid muscle(T/M),thyroid/trachea cavity(T/Tr),and thyroid/lipid(T/L)were calculated.The intraclass correlation coefficient(ICC)was used to evaluate the consistency among the measurements,and the optimal threshold for distinguishing HT from non-HT was determined via the receiver operating characteristic(ROC)curve.The Spearman correlation analysis was used to analyze the correlation between T/M,T/Tr,T/L ratios,and titers of thyroid peroxidase antibody(TPO-Ab)and thyroglobulin antibody(Tg-Ab),respectively.Results On the T2WI-IDEAL quantitation sequence water images,the(x)±s of T/M,T/Tr,T/L ratios for HT and non-HT were 2.17±0.47 and 1.62±0.21(t=14.90,P<0.001),9.40±3.24 and 4.87±2.93(t=11.42,P<0.001),1.66±0.32 and 1.21±0.31(t=7.51,P<0.001),respectively.The area under the curve(AUC)of T/M,T/Tr,and T/L ratios for diagnosing HT were 0.89,0.86,and 0.85,respectively;the optimal thresholds were 1.90,3.50,and 1.36,and the sensitivity and specificity were 72.7%and 100%,100%and 40.5%,95.5%and 29.7%,respectively.The T/M ratio had a moderate correlation with TPO-Ab(r=0.513,P<0.05),and T/Tr,T/L ratios had a mild correlation with TPO-Ab,respectively.Conclusion The T/M ratio in the T2WI gray scale ratio can quantitatively and objectively distinguish HT from non-HT to some extent and is correlated with TPO-Ab.It has extremely high specificity and holds promise as a non-invasive imaging method for the diagnosis of incidental HT.