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.

The presence of physiological barriers in the eye （both external and internal） makes conventional ophthalmic medications （eye drops， ointments， gels， etc.） less bioavailable and difficult to reach the posterior segment of the eye. Although intravitreal injection can deliver drugs to the posterior segment of the eye， it has disadvantages such as infection， injury， and poor tolerance. Ophthalmic microneedle breaks through the intra- and extra-ocular barriers， enabling the drug to reach the target site accurately and to be released continuously greatly avoiding intraocular infections and injuries， and improving the bioavailability of the drug， which has obvious advantages as an ophthalmic drug delivery tool. Ophthalmic microneedle can be classified into hollow microneedle， dissolving microneedle， and coated microneedle according to the usage methods. Each type of microneedle has its own advantages and has shown satisfactory performance in the treatment of diseases such as bacterial and fungal keratitis， glaucoma， exudative age-related macular degeneration， diabetic macular edema， non-infectious uveitis， corneal neovascularization， and even choroidal melanoma.

This paper summarizes Professor WANG Xiuxia's clinical experience in treating hyperprolactinemia using the liver soothing therapy. Professor WANG identifies liver qi stagnation and rebellious chong qi （冲气） as the core pathomechanisms of hyperprolactinemia. Furthermore， liver qi stagnation may transform into fire or lead to pathological changes such as spleen deficiency with phlegm obstruction or kidney deficiency with essence depletion. The treatment strategy centers on soothing the liver， with a modified version of Qinggan Jieyu Decoction （清肝解郁汤） as the base formula. Depending on different syndrome patterns such as liver stagnation transforming into fire， liver stagnation with spleen deficiency， or liver stagnation with kidney deficiency， heat clearing， spleen strengthening， or kidney tonifying herbs are added accordingly. In addition， three paired herb combinations are commonly used for symptom specific treatment， Danggui （Angelica sinensis） with Chuanxiong （Ligusticum chuanxiong）， Zelan （Lycopus lucidus） with Yimucao （Leonurus japonicus） ， and Jiegeng （Platycodon grandiflorus） with Zisu （Perilla frutescens）.

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.

Traditional Chinese Medicine (TCM), as a treasure of the Chinese nation, plays a significant role in maintaining public health. In 2019, the Central Committee of the Communist Party of China and the State Council proposed for the first time the establishment of a TCM registration and evaluation evidence system that integrates TCM theory, "personal experience" and clinical trials (referred to as the "Three-in-One" System) to promote the inheritance and innovation of TCM. Subsequently, the National Medical Products Administration issued several guiding principles to advance the improvement and implementation of this system. Owing to the complexity of its implementation, there are still differing understandings within the TCM industry regarding the positioning of the "Three-in-One" Registration and Evaluation Evidence System, as well as the connotation and value orientation of the "personal experience." To address this, Academician WANG Qi, President of the TCM Association, China International Exchange and Promotion Association for Medical and Healthcare and TCM master, led a group of academicians, TCM masters, TCM pharmacology experts and clinical TCM experts to convene a "Seminar on Promoting the Implementation of the ′Three-in-One′ Registration and Evaluation Evidence System for Chinese Medicinals." Through extensive discussions, an expert consensus was formed, clarifying the different roles of the TCM theory, "personal experience" and clinical trials within the system. It was further emphasized that the "personal experience" is the core of this system, and its data should be derived from clinical practice scenarios. In the future, the improvement of this system will require collaborative efforts across multiple fields to promote the high-quality development of the Chinese medicinal industry.

Objective: To investigate the epidemiological characteristics of epidemic encephalitis B in Huzhou City, Zhejiang Province from 2007 to 2023, so as to provide the evidence for formulating prevention and control measures for epidemic encephalitis B. Methods: Epidemic encephalitis B case data in Huzhou City from 2007 to 2023 were collected through the National Notifiable Disease Reporting System of the Chinese Disease Prevention and Control Information System. The temporal, regional and population distribution characteristics of laboratory-confirmed epidemic encephalitis B cases were analyzed using the descriptively epidemiological method. Results: A total of 49 laboratory-confirmed epidemic encephalitis B cases were reported in Huzhou City from 2007 to 2023, and the average annual incidence was 0.10/105, showing a significant downward trend (P<0.05). The epidemic encephalitis B cases were concentrated from July to August, and July was the peak month, with 40 cases accounting for 81.63%. There was a statistically significant difference in the average annual incidences of epidemic encephalitis B among counties (districts) (P<0.05). Nanxun District had the highest reported incidence, with an average annual incidence of 0.23/105. There were 30 male cases and 19 female cases, with a male-to-female ratio of 1.58∶1. The youngest case was 5 months old, and the oldest was 49 years old. The children under 15 years were in the majority, with 42 cases accounting for 85.71%. Most of the cases were scattered children, with 25 cases accounting for 51.02%. There were 22 cases with no vaccination history and 21 cases with an unknown vaccination history, accounting for 44.90% and 42.86% respectively. All cases presented with fever. Other main clinical symptoms included listlessness, drowsiness, vomiting and headache, with 47, 40, 33 and 29 cases respectively, accounting for 95.92%, 81.63%, 67.35% and 59.18%, respectively. Conclusions The incidence of epidemic encephalitis B in Huzhou City remained at a relatively low level from 2007 to 2023, with Nanxun District being the high-risk area and July being the peak month for disease incidence. Fever and listlessness were the predominant clinical manifestations. Strengthening vaccination for children under 15 years should be prioritized.

Objective: To investigate the relationship between pubertal timing and depressive symptoms among high school students in Suzhou, so as to provide scientific evidence for promoting adolescents mental health. Methods: From October 2023 to January 2024, 3 369 students were selected from 20 high schools in Suzhou using stratified cluster random sampling method. Physical examinations and questionnaire surveys were conducted. The Preece & Baines growth Model 1 was used to calculate the age at take off of height velocity (ATO) and age at peak height velocity (APHV), categorizing students into three groups: early pubertal timing group (< P 15 ), ontime group ( P 15 - P 85 ), and delayed group (> P 85 ). Binary Logistic regression was used to analyze its association with depressive symptoms. Results: The ATO for male and female high school students in Suzhou was (9.35±1.23) and ( 8.12 ±1.52) years old, respectively. The mean APHV was (12.35±0.74) years old for boys and (10.91±0.82) years old for girls. The overall prevalence of depressive symptoms was 34.22%, with no statistically significant gender difference ( χ 2=0.42, P =0.52). Significant differences in depressive symptom prevalence were observed across grade levels, breakfast frequency, weekly days of moderate to vigorous physical activity, daily sleep duration, history of school bullying, and the presence of Internet addiction ( χ 2=5.03-69.21, all P < 0.05 ). After adjusting for age, body mass index, region, boarding status, breakfast frequency, weekly moderate to vigorous physical activity days, sleep duration, campus bullying, and presence of Internet addiction, Logistic regression analysis revealed that when ATO was used to evaluate pubertal timing, the risk of depressive symptoms in the delayed group of boys was 1.65 times that of the on time group (95% CI =1.24-2.19); when APHV was used to evaluate pubertal timing, the risks of depressive symptoms in the early pubertal timing group and delayed group of boys were 1.43 times (95% CI =1.07-1.91) and 1.41 times (95% CI =1.05-1.88) of that of the on time group, respectively (all P <0.05). No statistically significant associations were found among females (all P > 0.05 ). Conclusion The prevalence of depressive symptoms among high school students in Suzhou is relatively high, and both early and delayed puberty timing in boys are associated with depressive symptoms.