Stroke is the main cause of death and disability among adults in China and is characterized by high incidence， disability， mortality， and recurrence rates. The combination of traditional Chinese and Western medicine has great potential in treating stroke and its sequelae. The classic traditional Chinese medicine prescription Da Chengqitang （DCQT） has a long history and proven efficacy in treating stroke. Clinically， DCQT is often used to treat stroke and its sequelae. However， the number and quality of clinical trials of DCQT in treating stroke need to be improved. Because of the insufficient basic research， the active ingredients and multi-target mechanism of action of DCQT remain unclear. Our research group has previously confirmed that DCQT can effectively reverse neurological damage， reduce iron deposition， and downregulate the levels of pro-inflammatory cytokines in the rat model of hemorrhagic stroke. The treatment mechanism is related to the nuclear factor erythroid 2-related factor 2 （Nrf2）-mediated signaling pathway and p38 mitogen-activated protein kinase （MAPK） signaling-mediated microglia activation. To clarify the pharmacodynamic basis and anti-stroke mechanism of DCQT， this article reviews the research progress in the treatment of stroke with DCQT in terms of clinical trials， pharmacodynamic material basis， safety evaluation， and mechanisms of absorbed components. This article summarizes 45 major phytochemical components of DCQT， 11 of which are currently confirmed absorbed components. Among them， emodin， rhein， chrysophanol， aloe-emodin， synephrine， hesperidin， naringin， magnolol， and honokiol can be used as quality markers （Q-markers） of DCQT. The mechanism of DCQT in treating stroke is complex， involving regulation of inflammatory responses， neuronal damage， oxidative stress， blood-brain barrier， brain-derived neurotrophic factor， and anti-platelet aggregation. This article helps to deeply understand the pharmacodynamic basis and mechanism of DCQT in treating stroke and provides a theoretical basis for the clinical application of DCQT in treating stroke and the development of stroke drugs.

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 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.

ObjectiveTo investigate the correlation with cognitive function based on a new Kayser-Fleischer ring （K-F ring） grading method in Wilson’s disease （WD）. MethodsA total of 136 WD patients who were hospitalized in Encephalopathy Center， The First Affiliated Hospital of Anhui University of Chinese Medicine， from April 2022 to October 2023 were enrolled. All subjects underwent slit lamp examination， and the grade of K-F ring was determined according to the shape and extent of copper deposition in the cornea， whether it formed a ring or not， and whether there was a sunflower-like cloudy change in the lens. The patients were instructed to complete UWDRS， MoCA， and MMSE scale assessments， and these indicators were compared between patients with different K-F ring grades. An analysis of variance was used for comparison of normally distributed continuous data between multiple groups， and the least significant difference t-test （homogeneity of variance） or the Dunnett’s T3 test （heterogeneity of variance） was used for further multiple comparisons； the Kruskal-Wallis H test was used for comparison of non-normally distributed continuous data between multiple groups； the chi-square test was used for comparison of categorical data between groups. The Spearman correlation analysis was used to investigate the correlation of K-F ring grade with UWDRS， MoCA， and MMSE scores. ResultsAmong the 136 patients with WD， there were 40 patients with grade 4 K-F ring， accounting for the highest proportion of 29.4%， and 14 patients with grade 0 K-F ring， accounting for the lowest proportion of 10.3%， and there were 22 patients with grade 1 K-F ring （16.2%）， 19 with grade 2 K-F ring （14%）， 25 with grade 3 K-F ring （18.4%）， and 16 with grade 5 K-F ring （11.7%）. According to the different grades of K-F ring， there was a significant increase in UWDRS score （F=22.61， P<0.001） and significant reductions in MoCA and MMSE scores （F=16.40 and 13.80， both P<0.001）. The Spearman correlation analysis showed that K-F ring grade was positively correlated with UWDRS score （r=0.67， P<0.01） and was negatively correlated with MoCA and MMSE scores in WD patients （r=-0.59 and -0.57， both P<0.01）. ConclusionThe new K-F ring grading method can determine disease severity in WD patients to a certain degree and partially reflect cognitive function and activities of daily living in such patients.

Objective:To research the efficacy and safety of robotic thyroidectomy and bilateral modified radical neck dissection through bilateral axillo-breast approach (BABA) .Methods:We retrospectively analyzed the clinical data of 37 patients with thyroid cancer who received bilateral modified radical neck dissection through the BABA at the Department of Thyroid and Breast Surgery of the 960th Hospital of the People’s Liberation Army from Jan. 2014 to Jan. 2023. There were 24 females and 13 males, and the average age of the patients was (33,22±10.53) years old. The tumor diameter, number of lymph node dissection and metastasis in the central and lateral regions, average operation time, average hospital stay, complications, and aesthetic score were recorded. SPSS 25.0 software was used for statistical analysis, and the measurement data was calculated using mean ± standard deviation ( ± s), and the counting data was expressed in percentages and numbers. Results:A total of 37 thyroid cancer patients underwent robotic bilateral regional lymph node dissection. The 37 patients received total thyroidectomy, bilateral central compartment and cervical lateral regional lymph node dissection. All the pathological types were papillary carcinoma, with a maximal tumor diameter of (1.47±0.85) cm. The average number of central lymph nodes dissected was 19.46±8.84, and there were (10.24±5.95) metastases; The average number of lymph nodes removed from the bilateral cervical region was 38.92±14.21, and there were (7.92±5.84) metastases. The average operation time was (288.05±77.09) min, the average length of stay in the hospital was (10.76±3.92) days, and the average length of stay in the hospital following surgery was (8.03±2.08) days. These patients had no permanent hypoparathyroidism, permanent recurrent laryngeal nerve palsy, infection, accessory nerve injury and phrenic nerve injury after operation. Transient hypoparathyroidism occurred in 15 patients, transient recurrent laryngeal nerve palsy occurred in 1 patient, and chyle leak occurred in 2 patients. One month after surgery, the aesthetic score was 9.51±0.69.Two patients were found lymph node metastases during the (27.81±15.10) months of follow-up, and received robotic cervical lymph node dissection with BABA.Conclusion:For carefully chosen thyroid cancer patients with bilateral lateral cervical region lymph node metastases, robotic bilateral cervical lymph node regional dissection via BABA is safe and feasible, and good cosmetic results can be obtained.

Head and neck malignant tumor is one of the most heterogeneous diseases.The multi-disciplinary team(MDT)is an essen-tial component for personal precise diagnosis,treatment and integrated care management of oncologic diseases including head and neck malignant tumor.MDT clinical practice is also an important teaching mode for head and neck malignant tumors,but it is limited by time and space in actual teaching.An internet visualization platform was constructed based on the Internet,hospital HIS/PACS/LIS/EMR system,medical visualization screen,oral endoscope,remote consultation platform and other accessible audio and video terminals,and has been applied in MDT clinical teaching of head and neck malignant tumors,allowing medical students to participate in MDT through a networked visualization platform.Medical students will achieve deep learning for the most heterogeneous malignant tumor.MDT sup-ported by the internet visualization platform provides a new pathway for clinical medical education.

Objective:To evaluate the clinical efficacy of individualized thrombolysis-assisted comprehensive intervention for deep vein thrombosis (DVT) in the lower limbs.Methods:This study included 32 patients with acute lower limb DVT diagnosed by angiography who received treatment at the Jianhu Clinical Medical College of Yangzhou University from March 2012 to November 2021. These patients first received implantation of an inferior vena cava filter. Then they were divided into a control group and an observation group based on treatment methods. The control group received thrombolytic catheterization and a routine infusion of urokinase. In the observation group, balloon dilation was performed first, and a large lumen catheter was used to draw blood clots. Subsequently, urokinase at a dose based on fibrinogen measurement was injected through a thrombolytic catheter. Swelling reduction, venous patency, and complications of the affected limbs were monitored.Results:In the control group, the difference in thigh circumference before treatment was (4.65 ± 1.06) cm, and after treatment, it was (2.76 ± 1.25) cm. In the observation group, the difference in thigh circumference before treatment was (4.73 ± 1.03) cm, and it was (1.40 ± 0.83) cm after treatment. In the control group, the difference in calf circumference before treatment was (2.24 ± 0.90) cm, and it was (1.56 ± 0.86) cm after treatment. In the observation group, the difference in calf circumference before treatment was (2.40 ± 0.83) cm, and it was (0.80 ± 0.73) cm after treatment. After treatment, the differences in thigh circumference and calf circumference between the healthy and affected sides were statistically significant ( t = 3.58, 2.67, both P < 0.05). After treatment, there was a significant difference in venous patency between the control and observation groups (34.02% [33/97] vs. 68.18% [60/88], t = 3.44, P < 0.05). After 12 months of follow-up, the Villalta scale score, which was used to evaluate post-thrombotic syndrome, was (9.23 ± 4.07) points in the control group, which was significantly different from (5.73 ± 3.39) points in the observation group ( t = 2.62, P < 0.05). Conclusion:Individualized thrombolysis-assisted comprehensive intervention is highly effective in the treatment of DVT in the lower limbs and results in few complications.