Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective To compare the therapeutic effects of modified Shenqi Maiwei Dihuang Decoction combined with Buzhong Yiqi Pill and Buzhong Yiqi pill alone in the patients with cold and heat mixed type di-abetic foot.Methods A total of 123 patients with cold and heat mixed type diabetic foot receiving the treat-ment in this hospital from April 2022 to December 2023 were selected and divided into the modified Shenqi Mai-Dihuang Decoction and Buzhong Yiqi Pill group(combined group,60 cases)and Buzhong Yiqi Pill group(monotherapy group,63 cases).The wound healing,mean blood flow amount of foot dorsal artery,blood glu-cose and changes in vascular diameter,inflammatory factors and vascular endothelial growth factor after 2 courses of treatment were compared betweeb the 2 groups.Results The ulcer reduction rate in the combina-tion group was significantly higher than that in the monotherapy group(P=0.001).The fasting blood glu-cose and 2 h postprandial blood glucose after treatment in the combination group all were lower than those in the monotherapy group(P=0.001).The average blood flow of foot dorsal artery after treatment in combina-tion group was higher than that in the monotherapy group,and the difference was statistically significant(P=0.013).There were 34 cases of Wagner grade 3 in the combined group and 33 cases of Wagner grade 3 in the monotherapy subgroup respectively.There was statistically significant difference in the CRP level between the two subgroups(P=0.045).Conclusion Shenqi Maiwei Dihuang Decoction combined with Buzhong Yiqi Pill in treating diabetic foot ulcer is more effective than Buzhong Yiqi Pill alone,moreover the safety is high.

Objective To develop models for predicting response to chemotherapy combined with immunotherapy in patients with esophageal squamous carcinoma with various machine learning algorithms,and then select the optimal model.Methods A retrospective study was performed for 174 patients with esophageal squamous cell carcinoma undergoing chemotherapy combined with immunotherapy admitted in Department of Thoracic Surgery of the First Affiliated Hospital of Army Medical University from January 2022 to December 2023.The CT scans and clinical information were collected before treatment.They were randomly divided into a training set(n=122)and a testing set(n=52)in a ratio of 7∶3.CT radiomic features were extracted and selected,and then 5 machine-learning algorithms were employed to establish the prediction models,including radiomics model and clinical-radiomics model.Five-fold cross-validation was conducted on the training set,and the performance of the prediction models was evaluated on the testing set using receiver operating characteristic(ROC)curve and the F1 score.The best-performing model was further explained using local interpretable model-agnostic explanations(LIME)algorithm.Results Among the 174 patients,115(66.1%)achieved clinical remission.From the clinical information and CT images,1 clinical features and 10 radiomic features were identified.The area under of ROC curve(AUC)for the radiomics and clinical-radiomics models was 0.750(95%CI:0.616～0.883),and 0.766(95%CI:0.637～0.895),respectively.The F1 score of the optimal clinical-radiomics model was 0.829.LIME algorithm indicated that this best model demonstrated reliability in predicting individual samples.Conclusion The clinical-radiomics prediction model based on machine learning algorithm performs well,and can provide a reference for doctors'clinical decision-making by predicting the response to chemotherapy combined with immunotherapy in patients with esophageal squamous cell carcinoma.

Objective To investigate the status of population dynamics and distribution changes of Aedes aegypti in Guangdong Province.Methods Continuous monitoring was conducted from May 2018 to July 2024 in Wushi Town and Qishui Town,Leizhou City,Zhanjiang City,Guangdong Province.Additionally,a survey of the distribution of Ae.aegypti along the Leizhou Peninsula coast was carried out.Results The density of Ae.aegypti in Zhanjiang showed a gradual decline from 2018 to 2024.The last detection of adult Ae.aegypti in Wushi Town was in September 2021,and the last larva was found in October 2023.No Ae.aegypti was detected in Qishui Town during surveys from 2021 to 2024.A survey of 18 coastal villages in the Leizhou Peninsula revealed no detections of Ae.aegypti.Conclusions This study provides a basis for understanding the distribution and population density fluctuations of Ae.aegypti,assessing its invasion risk,and scientifically conducting relevant prevention and control efforts.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Ischemic stroke and hemorrhagic stroke have different pathogenic mechanisms,but share similarities in metabolic dysregulation,inflammatory responses and oxidative stress.This paper summarized 28 metabolic markers shared between ischemic stroke and hemorrhagic stroke with consistent trends through literature review.It also provided an overview of their involvement in abnormal energy metabolism,inflammatory responses,blood-brain barrier disruption,and neural damage in relation to stroke.The aim is to provide a scientific basis for future prognosis,curative efficacy evaluation and future homotherapy of ischemic stroke and hemorrhagic stroke,and provide insights for the development of new therapies and new drugs.

Background Previous studies have demonstrated that the vagus nerve stimulation improves upper limb function in patients with stroke sequelae(six month-two years).This study aimed to investigate whether the auricular intradermal acupuncture(AIA)acted on the auricular branch of the vagus nerve can facilitate the recovery of upper limb motor function and expedite the effects and characteristics of rehabilitation processes in flaccid phase after stroke in Phase Brunnstrom Ⅰ.Methods This study utilized a randomized controlled single-blinded clinical design.Patients with ischemic stroke in Phase Brunnstrom Ⅰ were randomly assigned to the auricular intradermal acupuncture(AIA)group(AIA,standard rehabilitation,conventional acupuncture)or the sham auricular intradermal acupuncture(sham AIA)group(the sham AIA,standard rehabilitation,conventional acupuncture)for 6 days of 1 week(6 times).Primary outcome measures:Brunnstrom(Ueda Assessment),Fugl-Meyer assessment of the upper extremity(FMA-UE)and its subtype score(FMA-UEFS,FMA-UEES),Wolf motor function test scale(WMFT).Secondary outcome measures:Upper limb active range of joint motion(AROM),manual muscle test(MMT)of upper limb muscles,Barthel index(BI).Results Of the 332 patients who were screened,70 patients met the criteria and were recruited.There were 35 patients in the AIA group,1 patient was fall off,34 patients were actually completed;35 patients in the sham AIA group had no falling off case.Primary outcome measures:The upper Ueda assessment of the AIA group were better than those of the sham AIA group after treatment on days 3 and 6(P<0.05,P<0.001,respectively).The FMA-UEFS score on days 6 of the AIA group were significantly better than those of the sham AIA group(P<0.05).FMA-UEES of the AIA group was more associated with FMA-UE than FMA-UEFS with FMA-UE after treatment on day 6(FMA-UEFS:r=0.728,P<0.001;FMA-UEES:r=0.744,P<0.001).After 3 days and 6 days of treatment,the AIA group of the WMFT were significantly improved in the sham AIA group(P<0.05,P<0.001,respectively).Secondary outcome measures:AROM:After 6 days of treatment,the AIA group of shoulder abduction were more improved than in the sham AIA group(P<0.05).MMT:The muscle strength of elbow flexion,and elbow extension muscle improved more in the AIA group than in the sham AIA group(P<0.05).Barthel index(BI):After 6 days of treatment,there was a significant improvement in the group compared with before treatment(P<0.05),but no difference compared with the group(P>0.05).Conclusions AIA combined with conventional rehabilitation and acupuncture,can effectively improve the upper limb motor function of patients with post-ischemic stroke flaccid hemiplegia and accelerates the rehabilitation process of upper limb motor function.Clinical Trial Registration The study protocol is registered withhttp://www.chictr.org.cn(accession number:ChiCTR2200058141).

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.