Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

Objective To observe the value of three-dimensional speckle tracking imaging(3D-STI)in evaluation on right ventricle(RV)function for predicting adverse events in patients with unstable angina(UA)after percutaneous coronary intervention(PCI).Methods A total of 155 UA patients who underwent both 3D-STI and conventional echocardiography and planned to accept PCI were prospectively enrolled and divided into adverse event group(n=37)and control group(n=118)based on the occurrence of adverse events after PCI or not.Clinical data and echocardiographic parameters were compared between groups,and new binary variables were generated according to the optimal cut-off values showed by the maximum Youden index of receiver operating characteristic curves of 3D-STI parameters being statistically different between groups.Then the independent predictors of adverse events among UA patients after PCI were analyzed,a combined model was constructed,and its predictive value was assessed.Results In adverse event group,the left ventricular end diastolic volume(LVEDV)was higher,while the left ventricular ejection fraction(LVEF),right ventricular free wall longitudinal strain(RVFWLS)and right ventricular global longitudinal strain(RVGLS)were all lower than those in control group(all P＜0.05).The optimal cut-off values for distinguishing adverse event or not was 110 ml for LVEDV,19.05%for RVFWLS and 19.75%for RVGLS,respectively,and all the 3 generated binary variables were independent predictors for adverse events of UA patients after PCI(all P＜0.05).The area under the curve of combined model for predicting adverse events in UA patients after PCI was 0.864.Conclusion RVFWLS＜19.05%and RVGLS＜19.75%obtained with 3D-STI,as well as LVEDV＞110 ml with conventional echocardiography were all independent predictors of adverse events in UA patients after PCI.

Objective To study the consonant articulation performance and speech intelligibility of patients with submucous cleft palate(SMCP)and to provide a reference for clinical speech evaluation and subsequent speech rehabilitation.Methods A total of 333 preoperative SMCP patients aged 4.5 years and older participated in this study.The accuracy,type of error,and error rates were assessed across participant genders and their varying levels of velopharyngeal closure function.Results Among the 333 patients,196 had complete velopharyngeal closure,while 137 had incomplete closure.A total of 145 patients(43.54％)demonstrated normal articulation of all conso-nants,while 188 patients(56.46％)displayed various degrees of articulation disorders.Compensatory articulation behaviors were observed in 66 patients(19.82％).No significant differences in articulation errors were found be-tween male and female patients.The accuracy ranking for consonants was from high to low as follows:nasal sounds,lateral sounds,fricatives,plosives,and affricates.Substitution was the most common error type with an incidence of 35.93％,followed by omission at 34.62％and compensatory errors at 25.51％.The average accuracy rates for plosives,fricatives,affricates,lateral/nasal sounds were 73.27％,78.20％,69.29％,and 93.39％,re-spectively.Substitution was the most common error for plosives and fricatives,while omission was most frequent for affricates.Compensatory errors occurred most often with affricates,and no compensatory errors were found in nasal or lateral sounds.Conclusion Substitution,omission,and compensatory errors are the most common articula-tion errors in SMCP patients,occurring across plosives,fricatives,and affricates.The severity of articulation disor-ders is related to velopharyngeal closure function but is independent of gender.

Objective To study the consonant articulation performance and speech intelligibility of patients with submucous cleft palate(SMCP)and to provide a reference for clinical speech evaluation and subsequent speech rehabilitation.Methods A total of 333 preoperative SMCP patients aged 4.5 years and older participated in this study.The accuracy,type of error,and error rates were assessed across participant genders and their varying levels of velopharyngeal closure function.Results Among the 333 patients,196 had complete velopharyngeal closure,while 137 had incomplete closure.A total of 145 patients(43.54％)demonstrated normal articulation of all conso-nants,while 188 patients(56.46％)displayed various degrees of articulation disorders.Compensatory articulation behaviors were observed in 66 patients(19.82％).No significant differences in articulation errors were found be-tween male and female patients.The accuracy ranking for consonants was from high to low as follows:nasal sounds,lateral sounds,fricatives,plosives,and affricates.Substitution was the most common error type with an incidence of 35.93％,followed by omission at 34.62％and compensatory errors at 25.51％.The average accuracy rates for plosives,fricatives,affricates,lateral/nasal sounds were 73.27％,78.20％,69.29％,and 93.39％,re-spectively.Substitution was the most common error for plosives and fricatives,while omission was most frequent for affricates.Compensatory errors occurred most often with affricates,and no compensatory errors were found in nasal or lateral sounds.Conclusion Substitution,omission,and compensatory errors are the most common articula-tion errors in SMCP patients,occurring across plosives,fricatives,and affricates.The severity of articulation disor-ders is related to velopharyngeal closure function but is independent of gender.

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

Diabetic foot (DF) is one of the most serious chronic complications of diabetes. The incidence rate among global diabetes patients is as high as 15% to 25%, and about 50% of patients will develop contralateral foot ulcers within 5 years after the first unilateral ulcer. As a non-invasive prevention and control solution, the application progress of functional insoles is mainly reflected in the following aspects:(1) Material innovation. The application of new composite materials and smart materials has significantly enhanced the pressure reduction effect and comfort. (2) Structural optimization. The development of multi-layer design and local pressure reduction structure has achieved more precise pressure distribution regulation. (3) Manufacturing process. 3D printing and parametric design have enabled the personalized customization of functional insoles. (4) Intelligent monitoring. It integrates functions such as pressure sensing and temperature monitoring, achieving real-time monitoring and early warning of foot conditions. Clinical research has confirmed that personalized functional insoles could reduce the incidence of foot ulcers and shorten the healing time of ulcers. At present, the research hotspots mainly focus on the development of smart materials, the construction of multi-functional integration and remote monitoring systems. However, in-depth research is still needed in the aspects of biomechanical mechanisms, standardized evaluation systems and long-term efficacy assessment. The development of future functional insoles should focus on the coordinated advancement of "personalization-intelligence-standardization", with the aim of providing more effective solutions for the prevention and treatment of DF.
Humans ; Diabetic Foot/therapy* ; Foot Orthoses

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

Objective To investigate the association between D-dimer levels within 2 hours of admission and in-hospital major adverse events (MAEs) in patients with acute type A aortic dissection (ATAAD) who underwent total arch replacement combined with frozen elephant trunk (FET) implantation. Methods This retrospective study included patients with ATAAD who underwent total arch replacement with FET implantation at Fuwai Yunnan Cardiovascular Hospital from September 2017 to December 2022. Patients were divided into two groups based on the occurrence of in-hospital MAEs: a MAEs group and a non-MAEs group (control). Perioperative data were compared between the two groups. Univariate and multivariate logistic regression analyses were performed to identify risk factors for in-hospital MAEs, which included in-hospital death, gastrointestinal bleeding, paraplegia, acute kidney injury, low cardiac output syndrome, stroke, respiratory failure, multiple organ dysfunction syndrome, and severe infection. The predictive value of D-dimer was evaluated using the area under the receiver operating characteristic curve (AUC). Results A total of 218 patients were included (157 males, 61 females), with a mean age of (51.54±9.79) years. There were 152 patients in the non-MAEs group and 66 in the MAEs group. The overall incidence of in-hospital MAEs was 30.3%, and the in-hospital mortality rate was 2.8% (6/218). Compared to the non-MAEs group, the MAEs group had significantly higher levels of D-dimer and lactate, as well as longer cardiopulmonary bypass time, aortic cross-clamp time, and ICU length of stay (all P<0.05). Multivariate logistic regression analysis identified D-dimer as an independent risk factor for in-hospital MAEs [OR=1.077, 95%CI (1.020, 1.137), P=0.013]. The AUC for the D-dimer level within 2 hours of admission to predict in-hospital MAEs was 0.83 [95%CI (0.736, 0.870), P<0.001]. The optimal cutoff value was 2.2 μg/mL, with a sensitivity of 84.8% and a specificity of 73.0%. Conclusion The serum D-dimer level is an independent risk factor for in-hospital MAEs in patients with ATAAD following total arch replacement with FET implantation. D-dimer levels on admission can help clinicians optimize risk stratification and perioperative management, potentially reducing the incidence of early adverse events.

Microecological flora,an important part of the human microenvironment,changes with the changes in the internal and external environments of the human body,and plays an important role in maintaining human body's normal function.Endometriosis(EMs)is a common estrogen-dependent female disease chara-cter-ized by the growth of endometrial glands and mesenchyme outside the uterine cavity.Existing studies have shown that imbalance of intestinal and reproductive tract flora can trigger local immune-inflammatory responses and cause systemic immune-inflammatory responses through cytokines and metabolic pathways,which in turn participate in the progression of EMs.Thus,the diagnosis and treatment of EMs through microecological flora interventions is one of the hotspots research in this field.This article aims to review the research progress on the correlation be-tween microbial dysbiosis and EMs,with the hope of providing more references for the treatment of EMs.