Sangjuyin， as a pungent and cooling agent with precise therapeutic effect， is a classic pungent formula for cooling relief of the epidermis， which is highly respected by medical practitioners. This formula is from the Wenbing Tiaobian written by WU Jutong in the Qing dynasty， on the basis of which subsequent medical practitioners have made additions and subtractions to apply it. The authors used the bibliometric method to systematically organize the medical books from the Qing dynasty and the Republic of China and modern literature to analyze the composition， concoction， decoction， efficacy， and previous and modern application of Sangjuyin. After examination， the drug base of this formula is basically clear. Armeniacae Semen Amarum is the dried mature seeds of Armeniaca vulgaris， family Rosaceae. Forsythiae Fructus is the dried fruit of Forsythia suspensa， family Mulleinaceae. Menthae Haplocalycis Herba is the dried above-ground part of Mentha haplocalyx， family Labiatae. Mori Folium is the dried leaves of Morus alba， family Moraceae. Chrysanthemi Flos is the dried head of Chrysanthemum morifolium， family Asteraceae. Platycodonis Radix is the dried root of Eryngium grandiflorum， family Eryngium. Glycyrrhizae Radix et Rhizoma is the dried root and rhizome of Glycyrrhiza uralensis of the Leguminosae family， and Phragmitis Rhizoma is the fresh or dried rhizome of Phragmites communis of the Gramineae family. It is recommended that the eight drugs be used in raw form as medicine. The dosage and method of decoction were converted into a modern single dosage of 7.46 g Armeniacae Semen Amarum， 5.60 g Forsythiae Fructus， 2.98 g Menthae Haplocalycis Herba， 9.33 g Mori Folium， 3.73 g Chrysanthemi Flos， 7.46 g Platycodonis Radix， 2.98 g Glycyrrhizae Radix et Rhizoma， and 11.19 g Phragmitis Rhizoma， with 400 mL water added， and the solution was boiled to obtain 200 mL， taken twice a day. Sangjuyin has the efficacy of dispersing wind and clearing heat， promoting lung and relieving cough， and it is used for treating the initial onset of wind-warmth and the evidence of evil spirits in the lungs and collaterals. Modern research has shown that Sangjuyin is often used in the treatment of cough， pneumonia， rhinitis， and other respiratory diseases， and the results of this study provide a reference for the later development of Sangjuyin.

Functional dyspepsia （FD） is a prioritized disease category where traditional Chinese medicine （TCM） demonstrates distinct therapeutic advantages. The current western medicine treatment for FD is mainly based on proton pump inhibitors and prokinetic agents， with digestive enzymes， probiotics and antidepressants serving as adjuvant medication， yet such therapies still have certain limitations. TCM treatment for FD includes oral administration of Chinese herbal formulas and Chinese patent medicines， as well as external TCM therapies such as acupuncture and moxibustion， acupoint application， hot medicinal compress therapy， rubbing with ointment， medicinal iontophoresis， auricular acupoint therapy and tui na （Chinese medical massage）. The combined treatment of FD with integrated TCM and western medicine can significantly improve clinical effectiveness and reduce adverse reactions. The common mechanisms underlying the therapeutic effects of both TCM and western medicine revolve around the core pathological processes of FD， mainly focusing on restoring gastrointestinal motility， regulating the levels of brain-gut peptides， modulating intestinal microecology， and ameliorating inflammatory status. The differential mechanisms lie in the precise targeting feature of western medicine versus the holistic-regulating and multi-target characteristics of TCM， and the two approaches exert a synergistic effect to enhance efficacy. This paper proposes to leverage the advantages of TCM in holistic regulation and the strengths of western medicine in targeted treatment， so as to provide personalized and comprehensive treatment regimens for FD patients.

Objective:To construct a thyroid nodule segmentation model using ultrasound dynamic images and explore its potential for assisting in the screening of thyroid nodules.Methods:A total of 126 patients with thyroid nodules（comprising 150 nodules）who were diagnosed and treated at Xuzhou Cancer Hospital from April 2024 to December 2024 were prospectively enrolled. Two-dimensional ultrasound was performed to capture short-axis and long-axis video images of thyroid nodules，forming a dynamic ultrasound image dataset. The dataset was divided into training，validation，and test sets in a ratio of 6∶1∶3. After the training loss curve converged，the model that performed well on the validation set was selected for testing. Three-fold cross-validation was employed for training and testing. All 300 ultrasound videos were divided into three subsets. In each experiment，two subsets were used as the training set，and one subset was used as the test set to evaluate the model's generalization ability. A collaborative spatiotemporal diffusion model was established based on the dynamic trends and tissue texture details of thyroid nodules. Six widely used segmentation metrics were employed to evaluate the model's application capabilities.Results:The study included 126 patients with 150 thyroid nodules，300 dynamic ultrasound images，and video lengths of 3-4 seconds per nodule，resulting in 12 312 segmented images. The size of the thyroid nodules was（10.7 ± 10.6）mm（transverse diameter）×（8.4 ± 6.3）mm（anteroposterior diameter）. Among the nodules，62（41.3%）had clear boundaries，while 88（58.7%）had indistinct boundaries；61（40.7%）exhibited regular shapes，while 89（59.3%）were irregular；66（44.0%）had a taller-than-wide aspect ratio；and 70（46.7%）showed microcalcifications. The collaborative diffusion model based on dynamic ultrasound image segmentation achieved the following scores：a Jaccard score of（69.22 ± 0.03）%，a Dice score of（79.16 ± 0.18）%，a Precision score of（86.70 ± 0.17）%，a Recall score of（77.82 ± 0.04）%，an Sα score of（85.26 ± 0.01）%，and an Eθmn score of（90.58 ± 0.17）%. Compared to other models，this model demonstrated significant improvements across all evaluation metrics，achieving the highest values in each metric with increments of over 8% and 1%，respectively. Conclusions:The collaborative diffusion model with a dynamic controller，constructed based on dynamic ultrasound images of thyroid nodules，demonstrates excellent performance in ultrasound image segmentation. It improves the accuracy of thyroid nodule screening，thereby providing a valuable auxiliary diagnostic tool for clinical practice.

Objective:To propose a deep learning（DL）-based ultrasound imaging auxiliary tool for automatic segmentation and recognition of the brachial plexus（BP），and to enhance the accuracy and safety of clinical procedures.Methods:It was a multicenter study that collected 773 healthy subjects from Peking University Third Hospital and its branch campuses，the Third Medical Center of the Chinese PLA General Hospital，and Shanghai Eighth People's Hospital between August 2024 and February 2025. Brachial plexus（BP）images in the interscalene groove were captured used high-frequency ultrasound by senior sonographers，a dataset comprising 1 289 standardized images were constructed and the improved model（CHA-TransUNet）was trained. The test set was input into 6 different models（CHA-TransUNet，R50-Unet，TransUnet，SegFormer，SwinUnet，MISSFormer）for segmentation. Segmentation accuracy was evaluated using metrics including the Dice similarity coefficient（DSC），95% Hausdorff distance（HD95）and mean intersection over union（mIoU），and was compared with the segmentation results of 3 ultrasound physicians with varying experience levels（junior physicians and senior physicians）to validate the model's segmentation efficacy.Results:The CHA-TransUNet model established based on a dataset of 1 289 standardized images achieved segmentation results for the BP with a DSC of 90.15%，mIoU of 91.02%，and HD95 of 8.08. Its accuracy was higher than other mainstream models（DSC：90.15% vs. 87.60%，87.77%，81.35%，84.78%，84.55%），significantly better than junior physicians（DSC：90.15% vs. 68.73%， Z=-127.76， P<0.001），and approached the level of senior physician（DSC：90.15% vs. 86.15%， Z=-31.33， P=0.549）. The model demonstrated superior boundary recognition in complex anatomical structures（e.g.，C6/C7 nerve roots）compared to ultrasound physicians（junior and senior）（HD95：8.08 vs. 26.34，17.44，56.80）. Conclusions:This study proposes an analysis model for BP ultrasound images，CHA-TransUNet. This model achieves segmentation and recognition of the BP with relatively complex pathways and structures. The model exhibits high accuracy and stability，outperforming current mainstream network models and junior physicians while approaching the performance level of senior physicians. It assists junior physicians or trainees in more accurately identifying and localizing the BP.

Objective To investigate the regulatory effect of Dendrobium nobile Lindl alkaloids(DNLA)on the proliferation,migration,and epithelial-mesenchymal transition(EMT)of HLEB3 cells induced by TGF-β2.Methods HLEB3 cells were cultivated in vitro and classified into the control group(DZ),the model group(TGF-β2),and the treatment group(TGF-β2+DNLA).TGF-β2 induced the EMT process of HLEB3 cells.Changes in cell morphology were observed through an inverted microscope.Cell proliferation,apoptosis,and migration were detected by CCK-8 assay,scratch test,and Transwell assay.The total RNAs of the samples were extracted for transcriptome analysis.Bioinformatics processing was employed to obtain relevant information on gene expression differences at the transcriptional level,biological processes,and related signaling pathways.The Western blot(WB)technique was utilized to detect EMT-related proteins to elucidate the mechanism of action of DNLA on lens epithelial cells.Results The study revealed that 10 μg/ml DNLA was suitable for the growth of HLEB3 cells.After 48 hours of the scratch test,the migration rate of the TGF-β2+DNLA group significantly decreased(P<0.01).The Transwell results indicated that the cell migration ability of the TGF-β2+DNLA group was notably weakened(P<0.05).Through bioinformatics,it was discovered that the prevention and treatment of posterior capsular opacification(PCO)by DNLA might be associated with cell junctions,cytoskeleton construction,and fibronectin binding.The pathogenesis of PCO may be related to multiple signaling pathways,including the TGF-β signaling pathway,TNF signaling pathway,and PI3K-Akt signaling pathway.Simultaneously,DNLA could reduce the expression levels of FNI,Smad2/3,and α-SMA proteins and increase the expression of E-cadherin protein.This indicates that DNLA can alleviate abnormal proliferation,migration,and EMT of lens epithelial cells by enhancing intercellular adhesion junctions and weakening cell migration ability,thereby playing a role in preventing and treating posterior capsular opacification.Conclusions DNLA can significantly inhibit the abnormal proliferation and migration of HLEB3 cells,alleviate the EMT process induced by TGF-β2,and prevent and control the occurrence of posterior capsular opacification and other ocular diseases.The mechanism of action might be related to the intervention of the TGF-β/smad signaling pathway and fibrosis proteins such as ZO-1 and E-cadherin.

Objective To investigate the regulatory effect of Dendrobium nobile Lindl alkaloids(DNLA)on the proliferation,migration,and epithelial-mesenchymal transition(EMT)of HLEB3 cells induced by TGF-β2.Methods HLEB3 cells were cultivated in vitro and classified into the control group(DZ),the model group(TGF-β2),and the treatment group(TGF-β2+DNLA).TGF-β2 induced the EMT process of HLEB3 cells.Changes in cell morphology were observed through an inverted microscope.Cell proliferation,apoptosis,and migration were detected by CCK-8 assay,scratch test,and Transwell assay.The total RNAs of the samples were extracted for transcriptome analysis.Bioinformatics processing was employed to obtain relevant information on gene expression differences at the transcriptional level,biological processes,and related signaling pathways.The Western blot(WB)technique was utilized to detect EMT-related proteins to elucidate the mechanism of action of DNLA on lens epithelial cells.Results The study revealed that 10 μg/ml DNLA was suitable for the growth of HLEB3 cells.After 48 hours of the scratch test,the migration rate of the TGF-β2+DNLA group significantly decreased(P<0.01).The Transwell results indicated that the cell migration ability of the TGF-β2+DNLA group was notably weakened(P<0.05).Through bioinformatics,it was discovered that the prevention and treatment of posterior capsular opacification(PCO)by DNLA might be associated with cell junctions,cytoskeleton construction,and fibronectin binding.The pathogenesis of PCO may be related to multiple signaling pathways,including the TGF-β signaling pathway,TNF signaling pathway,and PI3K-Akt signaling pathway.Simultaneously,DNLA could reduce the expression levels of FNI,Smad2/3,and α-SMA proteins and increase the expression of E-cadherin protein.This indicates that DNLA can alleviate abnormal proliferation,migration,and EMT of lens epithelial cells by enhancing intercellular adhesion junctions and weakening cell migration ability,thereby playing a role in preventing and treating posterior capsular opacification.Conclusions DNLA can significantly inhibit the abnormal proliferation and migration of HLEB3 cells,alleviate the EMT process induced by TGF-β2,and prevent and control the occurrence of posterior capsular opacification and other ocular diseases.The mechanism of action might be related to the intervention of the TGF-β/smad signaling pathway and fibrosis proteins such as ZO-1 and E-cadherin.

Objective:To analyze the characteristics of the injury of knee ligament and cartilage in pediatric patients after acute traumatic lateral patellar dislocation based on magnetic resonance imaging (MRI). Methods:Clinical data of 68 pediatric patients with acute traumatic lateral patellar dislocation admitted to The Second Hospital of Tangshan from September,2020 to September,2023 were retrospectively analyzed. All children underwent MRI scan on knee joint. These children were divided into partial tear group (85 cases) and complete tear group (41 cases) according to injury degree. In addition,the location and characteristic of the medial patellofemoral ligament (MPFL) injury and cartilage injury were analyzed. Results:All 126 children had MPFL injury,including 85 cases of partial tear and 41 cases of complete tear. Among the partial tears,34 cases occurred only on the patellar side,14 cases only on the femoral side,9 cases only in the middle segment,and 28 cases had multiple-site injuries. Among the complete tears,27 cases occurred only on the patellar side,7 cases only on the femoral side,4 cases only in the middle segment,and 3 cases had multiple-site injuries. The number of each degree of partial MPFL injury was higher than that of complete injury,and the difference was statistically significant (x2=7.596,10.886,P<0.05). Among the 126 children,91 cases had VMO injury,and the degree of VMO injury was positively correlated with the degree of MPFL injury (r=0.339,P=0.006). Among the 126 children with acute traumatic lateral patellar dislocation,119 cases had osteochondral injury,with a total of 174 injured sites. The sites of grade 1 injury were mainly on the patellar side,while those of grades 2,3,and 4 injuries were mainly multiple-site injuries. Conclusion:Most of acute traumatic lateral patellar dislocation complicate MPFL injury and cartilage injury in pediatric patients,which mainly focus on patellar side of injury and multiple injury. There are no differences in injury site and degree between different genders. MPFL injury mostly complicates VMO injury,which injury degree is positively correlation with MPFL.

Objective:To analyze the characteristics of the injury of knee ligament and cartilage in pediatric patients after acute traumatic lateral patellar dislocation based on magnetic resonance imaging (MRI). Methods:Clinical data of 68 pediatric patients with acute traumatic lateral patellar dislocation admitted to The Second Hospital of Tangshan from September,2020 to September,2023 were retrospectively analyzed. All children underwent MRI scan on knee joint. These children were divided into partial tear group (85 cases) and complete tear group (41 cases) according to injury degree. In addition,the location and characteristic of the medial patellofemoral ligament (MPFL) injury and cartilage injury were analyzed. Results:All 126 children had MPFL injury,including 85 cases of partial tear and 41 cases of complete tear. Among the partial tears,34 cases occurred only on the patellar side,14 cases only on the femoral side,9 cases only in the middle segment,and 28 cases had multiple-site injuries. Among the complete tears,27 cases occurred only on the patellar side,7 cases only on the femoral side,4 cases only in the middle segment,and 3 cases had multiple-site injuries. The number of each degree of partial MPFL injury was higher than that of complete injury,and the difference was statistically significant (x2=7.596,10.886,P<0.05). Among the 126 children,91 cases had VMO injury,and the degree of VMO injury was positively correlated with the degree of MPFL injury (r=0.339,P=0.006). Among the 126 children with acute traumatic lateral patellar dislocation,119 cases had osteochondral injury,with a total of 174 injured sites. The sites of grade 1 injury were mainly on the patellar side,while those of grades 2,3,and 4 injuries were mainly multiple-site injuries. Conclusion:Most of acute traumatic lateral patellar dislocation complicate MPFL injury and cartilage injury in pediatric patients,which mainly focus on patellar side of injury and multiple injury. There are no differences in injury site and degree between different genders. MPFL injury mostly complicates VMO injury,which injury degree is positively correlation with MPFL.

Objective:To construct a thyroid nodule segmentation model using ultrasound dynamic images and explore its potential for assisting in the screening of thyroid nodules.Methods:A total of 126 patients with thyroid nodules（comprising 150 nodules）who were diagnosed and treated at Xuzhou Cancer Hospital from April 2024 to December 2024 were prospectively enrolled. Two-dimensional ultrasound was performed to capture short-axis and long-axis video images of thyroid nodules，forming a dynamic ultrasound image dataset. The dataset was divided into training，validation，and test sets in a ratio of 6∶1∶3. After the training loss curve converged，the model that performed well on the validation set was selected for testing. Three-fold cross-validation was employed for training and testing. All 300 ultrasound videos were divided into three subsets. In each experiment，two subsets were used as the training set，and one subset was used as the test set to evaluate the model's generalization ability. A collaborative spatiotemporal diffusion model was established based on the dynamic trends and tissue texture details of thyroid nodules. Six widely used segmentation metrics were employed to evaluate the model's application capabilities.Results:The study included 126 patients with 150 thyroid nodules，300 dynamic ultrasound images，and video lengths of 3-4 seconds per nodule，resulting in 12 312 segmented images. The size of the thyroid nodules was（10.7 ± 10.6）mm（transverse diameter）×（8.4 ± 6.3）mm（anteroposterior diameter）. Among the nodules，62（41.3%）had clear boundaries，while 88（58.7%）had indistinct boundaries；61（40.7%）exhibited regular shapes，while 89（59.3%）were irregular；66（44.0%）had a taller-than-wide aspect ratio；and 70（46.7%）showed microcalcifications. The collaborative diffusion model based on dynamic ultrasound image segmentation achieved the following scores：a Jaccard score of（69.22 ± 0.03）%，a Dice score of（79.16 ± 0.18）%，a Precision score of（86.70 ± 0.17）%，a Recall score of（77.82 ± 0.04）%，an Sα score of（85.26 ± 0.01）%，and an Eθmn score of（90.58 ± 0.17）%. Compared to other models，this model demonstrated significant improvements across all evaluation metrics，achieving the highest values in each metric with increments of over 8% and 1%，respectively. Conclusions:The collaborative diffusion model with a dynamic controller，constructed based on dynamic ultrasound images of thyroid nodules，demonstrates excellent performance in ultrasound image segmentation. It improves the accuracy of thyroid nodule screening，thereby providing a valuable auxiliary diagnostic tool for clinical practice.

Objective:To propose a deep learning（DL）-based ultrasound imaging auxiliary tool for automatic segmentation and recognition of the brachial plexus（BP），and to enhance the accuracy and safety of clinical procedures.Methods:It was a multicenter study that collected 773 healthy subjects from Peking University Third Hospital and its branch campuses，the Third Medical Center of the Chinese PLA General Hospital，and Shanghai Eighth People's Hospital between August 2024 and February 2025. Brachial plexus（BP）images in the interscalene groove were captured used high-frequency ultrasound by senior sonographers，a dataset comprising 1 289 standardized images were constructed and the improved model（CHA-TransUNet）was trained. The test set was input into 6 different models（CHA-TransUNet，R50-Unet，TransUnet，SegFormer，SwinUnet，MISSFormer）for segmentation. Segmentation accuracy was evaluated using metrics including the Dice similarity coefficient（DSC），95% Hausdorff distance（HD95）and mean intersection over union（mIoU），and was compared with the segmentation results of 3 ultrasound physicians with varying experience levels（junior physicians and senior physicians）to validate the model's segmentation efficacy.Results:The CHA-TransUNet model established based on a dataset of 1 289 standardized images achieved segmentation results for the BP with a DSC of 90.15%，mIoU of 91.02%，and HD95 of 8.08. Its accuracy was higher than other mainstream models（DSC：90.15% vs. 87.60%，87.77%，81.35%，84.78%，84.55%），significantly better than junior physicians（DSC：90.15% vs. 68.73%， Z=-127.76， P<0.001），and approached the level of senior physician（DSC：90.15% vs. 86.15%， Z=-31.33， P=0.549）. The model demonstrated superior boundary recognition in complex anatomical structures（e.g.，C6/C7 nerve roots）compared to ultrasound physicians（junior and senior）（HD95：8.08 vs. 26.34，17.44，56.80）. Conclusions:This study proposes an analysis model for BP ultrasound images，CHA-TransUNet. This model achieves segmentation and recognition of the BP with relatively complex pathways and structures. The model exhibits high accuracy and stability，outperforming current mainstream network models and junior physicians while approaching the performance level of senior physicians. It assists junior physicians or trainees in more accurately identifying and localizing the BP.