ObjectiveTo study the effect of Bufei Tongbi decoction on pulmonary fibrosis in diabetic rats via the transforming growth factor-β₁ （TGF-β₁）/phosphorylated Smad family member 3 （p-Smad3） signaling pathway. MethodsStreptozotocin （60 mg·kg^-1） and bleomycin （24.80 U·kg^-1） were used to prepare the rat model of diabetes with pulmonary fibrosis by intratracheal injection. Sixty rats were randomly assigned into blank， model， low-， medium-， and high-dose （3.98， 7.95， and 15.90 g·kg^-1， respectively） Bufei Tongbi decoction， and pirfenidone （0.36 mg·kg^-1） groups （n=10）. The successfully modeled rats in each group were administrated with corresponding agents once per day for four consecutive weeks. After drug administration， fasting blood glucose and lung function indicators were measured. Chemical immunoassay was employed to determine the serum levels of hydroxyproline （Hyp）， hyaluronic acid （HA）， and laminin （LN）. The lung index was determined by the wet and dry methods. The pathological changes in the lung tissue were observed by hematoxylin-eosin （HE） staining， and the degree of fibrosis was detected by Masson staining. The mRNA and protein levels of TGF-β₁， p-Smad3， Smad3， α-smooth muscle actin （α-SMA）， collagen type Ⅰ alpha 1 （Col1A1）， and fibronectin were determined by PCR and Western blotting， respectively. ResultsCompared with the blank group， the model group showed alveolar septa thickening， obvious thickening of the basement membrane of pulmonary blood vessels， severe destruction of the alveolar structure， structural disarrangement of the lung parenchyma， and an increase in the proportion of inflammatory cell infiltration in the lung tissue， together with a large amount of blue collagen deposition and a large amount of collagen fibroplasia in the bronchial wall， vessel wall， interstitium， and alveolar wall， which indicated severe fibrosis. Bufei Tongbi decoction groups and the pirfenidone group showed lower fasting blood glucose level （P<0.05） and higher forced vital capacity （FVC）， cytoplasmic dynein （Cydn）， FEV_0.3/FEV ratio， and lung index （P<0.05） than the model group. Moreover， these groups demonstrated alleviated lung fibrosis， elevated Hyp， HA， and LN levels， down-regulated mRNA levels of α-SMA， Col1A1， and fibronectin， and down-regulated protein levels of TGF-β₁， Smad3， p-Smad3， α-SMA， Col1A1， and fibronectin （P<0.05）. ConclusionBufei Tongbi decoction can inhibit pulmonary fibrosis in diabetic rats by inhibiting the TGF-β₁/p-Smad3 signaling pathway.

Objective:To investigate the risk factors and prognostic value of the textbook outcome (TO) in patients with advanced gastric cancer (AGC) who underwent neoadjuvant chemotherapy followed by surgical resection.Methods:This is a retrospective cohort study. A total of 253 patients with AGC who underwent neoadjuvant chemotherapy combined with gastrectomy and D2 lymphadenectomy in the Department of Gastric Surgery, Fujian Medical University Union Hospital from January 2010 to December 2019 were retrospectively included. There were 195 males and 58 females, aged (60.3±10.0) years (range: 27 to 75 years). The patients were then divided into the TO group ( n=168) and the non-TO group ( n=85). Multivariate Logistic regression was used to analyze the independent predictors of TO. Univariate and multivariate Cox analysis were used to analyze independent prognosis factors for overall survival (OS) and disease-free survival (DFS). Propensity score matching was performed to balance the TO and non-TO groups, and the Kaplan-Meier method was used to calculate survival rates and draw survival curves. Results:Among the 253 patients, 168 patients (66.4%) achieved TO. The Eastern Cooperative Oncology Group score ( OR=0.488, 95% CI: 0.278 to 0.856, P=0.012) and ypN stage ( OR=0.626, 95% CI:0.488 to 0.805, P<0.01) were independently predictive of TO. Multivariate analysis revealed that TO was an independent risk factor for both OS ( HR=0.662, 95% CI: 0.457 to 0.959, P=0.029) and DFS ( HR=0.687, 95% CI: 0.483 to 0.976, P=0.036). After matching, the 5-year OS rate (42.2% vs. 27.8%) and the 5-year DFS rate (37.5% vs. 27.8%) were significantly higher in the TO group than in the non-TO group (both P<0.05). Furthermore, patients in the non-TO group benefited significantly from postoperative chemotherapy (both P<0.05), but those in the TO group did not (both P>0.05). Conclusion:TO is an independent prognosis factor in patients undergoing neoadjuvant chemotherapy and surgery for AGC and is associated with postoperative chemotherapy benefits.

Objective:To investigate the risk factors and prognostic value of the textbook outcome (TO) in patients with advanced gastric cancer (AGC) who underwent neoadjuvant chemotherapy followed by surgical resection.Methods:This is a retrospective cohort study. A total of 253 patients with AGC who underwent neoadjuvant chemotherapy combined with gastrectomy and D2 lymphadenectomy in the Department of Gastric Surgery, Fujian Medical University Union Hospital from January 2010 to December 2019 were retrospectively included. There were 195 males and 58 females, aged (60.3±10.0) years (range: 27 to 75 years). The patients were then divided into the TO group ( n=168) and the non-TO group ( n=85). Multivariate Logistic regression was used to analyze the independent predictors of TO. Univariate and multivariate Cox analysis were used to analyze independent prognosis factors for overall survival (OS) and disease-free survival (DFS). Propensity score matching was performed to balance the TO and non-TO groups, and the Kaplan-Meier method was used to calculate survival rates and draw survival curves. Results:Among the 253 patients, 168 patients (66.4%) achieved TO. The Eastern Cooperative Oncology Group score ( OR=0.488, 95% CI: 0.278 to 0.856, P=0.012) and ypN stage ( OR=0.626, 95% CI:0.488 to 0.805, P<0.01) were independently predictive of TO. Multivariate analysis revealed that TO was an independent risk factor for both OS ( HR=0.662, 95% CI: 0.457 to 0.959, P=0.029) and DFS ( HR=0.687, 95% CI: 0.483 to 0.976, P=0.036). After matching, the 5-year OS rate (42.2% vs. 27.8%) and the 5-year DFS rate (37.5% vs. 27.8%) were significantly higher in the TO group than in the non-TO group (both P<0.05). Furthermore, patients in the non-TO group benefited significantly from postoperative chemotherapy (both P<0.05), but those in the TO group did not (both P>0.05). Conclusion:TO is an independent prognosis factor in patients undergoing neoadjuvant chemotherapy and surgery for AGC and is associated with postoperative chemotherapy benefits.

In automatic skin damage analysis,segmentation is a challenging and critical operation due to factors such as the shape and contrast of hair and skin lesions on the skin.Compared with traditional segmentation methods,deep learning seamlessly integrates feature extraction and task-specific decision-making,achieving segmentation tasks more accurately and efficiently,and effectively reducing the burden and cost of skin cancer screening.This article first introduces the background of dermoscopic segmentation and deep learning models,and introduces the application of deep learning in dermoscopic segmentation.Secondly,this article introduces the algorithm models of convolutional neural networks and attention mechanisms,reviews the application of fused attention convolutional neural networks in dermoscopic segmentation since Jan 2022,and summarizes the improvement strategies,the advantages and disadvantages of the model.The model is further analyzed based on commonly used datasets of dermoscopy and evaluation indicators of image segmentation.Finally,the application of fused attention convolutional neural network in dermoscopic segmentation is summarized and prospected.

Indocyanine green(ICG)near-infrared imaging technology has significant research value in laparoscopic radical gastrectomy and has garnered widespread attention and research both domestically and internationally.However,the application of ICG near-infrared ima-ging technology in laparoscopic radical gastrectomy is still in the exploratory stage in current clinical practice,with no unified standards es-tablished as yet.This review introduces the mechanism of ICG fluorescence imaging and discusses the indications and contraindications of ICG use in laparoscopic radical gastrectomy.The application methods and procedures of ICG molecular fluorescence imaging technology in laparoscopic radical gastrectomy and its clinical applications are elaborated upon.Finally,the practical applications of ICG-guided laparo-scopic radical gastrectomy is summarized and generalized to help facilitate its promotion and further standardization.

Atherosclerosis （AS） is a chronic inflammatory pathological process in which lipid and/or fibrous substances are deposited in the intima of arteries， and it is one of the pathological bases of many cardiovascular and cerebrovascular diseases. Endoplasmic reticulum stress （ERS） is a protective mechanism of cell adaptation. Moderate ERS can reduce abnormal protein aggregation and increase the degradation of misfolded proteins to repair and stabilize the internal environment， while excessive ERS can cause unfolded protein reaction， activate inflammation， oxidative stress， apoptosis， autophagy， and other downstream pathways， and lead to cell damage， or even apoptosis. A large number of studies have shown that ERS mediates a variety of pathological processes related to AS， affects endothelial cells， smooth muscle cells， macrophages， endothelial progenitor cells， and other cell components closely related to its occurrence and development， influences the progress of AS by regulating cell function， and promotes the formation of AS plaque， the transformation of stable plaque to unstable plaque， and the rupture of unstable plaque. Regulation of ERS may be a key target for the prevention and treatment of AS， and it is a research hotspot at present. Traditional Chinese medicine （TCM） believes that the origin of AS is the imbalance of Yin and Yang， the disharmony of Zangfu organs， and the abnormal operation of Qi， blood， and body fluid， which leads to the accumulation of phlegm， blood stasis， and other pathological products in the pulse channels， making the blood flow blocked or misfunction and causing the disease， which belongs to the syndrome of deficiency in origin and excess in superficiality. As the pathogenesis of AS is complex， and the symptoms are diverse， TCM has significant advantages in treating AS because of its multiple targets， multiple pathways， stable efficacy， strong individualization， and high safety. This paper systematically elaborated on the role of ERS in the occurrence and development of AS and summarized the mechanism research on the regulation and control of ERS by Chinese herbal monomer， Chinese herbal extract， Chinese herbal compound， and proprietary medicine， so as to provide a theoretical basis for clinical research and drug development in the prevention and treatment of AS.

The basic pathological change of diabetic macroangiopathy is atherosclerosis （AS）， which is mainly associated with vascular endothelial cells （VECs） injury， oxidative stress， glucose and lipid metabolism disorders， hemorheological abnormalities， and endoplasmic reticulum stress. The injury and dysfunction of VECs are the initiating factors of diabetic macroangiopathy. Autophagy is a subcellular self-protection mechanism that regulates basic intracellular metabolism through lysosome-mediated degradation of proteins and damaged organelles to maintain homeostasis. Insufficient autophagy of VECs leads to enhanced inflammation， apoptosis， and oxidative stress of VECs， which promotes AS. According to the theory of traditional Chinese medicine （TCM）， diabetic macroangiopathy corresponds to the syndrome of internal deficiency and pathogen invasion， with Qi deficiency and stagnation as the key pathogenesis. Qi deficiency is the root cause， and Qi stagnation is the manifestation. The disease occurs with the initial cause of nutrient-defense disharmony and instability of vessels， the main cause of the deficiency of kidney Qi and the lack of source for generation and transformation， the internal cause of Qi and blood loss in the viscera and the stagnation of Qi， blood， and fluid， and the superficial cause of the stagnation of pathological products and the damage of vessels. Autophagy is a microscopic manifestation of Qi， which has the function of dispelling pathogens and maintaining homeostasis. Insufficient autophagy of VECs leads to Qi deficiency and stagnation， and the gradual deficiency and heavy stagnation of Qi lead to insufficient autophagy， which form a vicious cycle. Modern research has demonstrated that regulating the autophagy of VECs is the main way to prevent and treat AS， and TCM can exert the therapeutic effect in a multi-target and multi-pathway manner. Therefore， based on the theory of Qi deficiency and stagnation， the method of tonifying deficiency of and removing stagnation can be adopted to select prescriptions for regulating the autophagy of VECs and treating AS， which can slow down the procession of diabetic macroangiopathy.

Gastric cancer is one of the most common malignant tumors in the world, and its incidence and mortality are among the top of malignant tumors in China. Since Kitano et al com-plete the first laparoscopic radical gastrectomy for gastric cancer in the world in 1992, the laparos-copic technology has developed rapidly. After more than 30 years of exploration and practice, the clinical diagnosis and treatment of gastric cancer in China has also made considerable progress. A large number of clinical studies at home and abroad have confirmed that laparoscopic radical gas-trectomy is no less effective than traditional open surgery in the short and long term. Laparoscopic radical gastrectomy has the characteristics of less trauma, faster recovery of gastrointestinal func-tion, less postoperative pain, and shorter average hospital stay. It has gradually replaced open surgery as the mainstream surgical method for gastric cancer. As the concept of surgical treatment for gastric cancer continues to update, emerging minimally invasive technologies continue to emerge, including robotic surgery systems and indocyanine green tracing technology, which are increasingly used in gastric cancer surgery, making gastric cancer surgery more minimally invasive and accurate, the quality of perigastric lymph node dissection and the domestic gastric cancer surgery technology further improving. Based on the relevant research at home and abroad, the authors review and summarize the latest progress in recent years with the topic of minimally invasive surgery for gastric cancer, aiming to systematically describe the current situation and future prospects of gastric cancer surgery. It is believed that in the future, the clinical diagnosis and treatment of gastric cancer in China will be more standardized, minimally invasive and accurate, more high-quality multicenter clinical research will be carry out and the diagnosis and treatment of gastric cancer will be further improved in China.

Objectives:To construct a nomogram prediction model using common preoperative indicators for early weight loss (EWL) 1 year after laparoscopic sleeve gastrectomy (LSG).Methods:Relevant data of obese patients who had undergone LSG from January 2015 to May 2022 in Fujian Medical University Union Hospital and Quanzhou First Hospital Affiliated Fujian Medical University were analyzed. Patients with a history of major abdominal surgery, severe gastroesophageal reflux disease, pregnancy within 1 year after surgery, or who were lost to follow-up were excluded, resulting in a total of 200 patients in the study (190 from Fujian Medical University Union Hospital and 10 from Quanzhou First Hospital Affiliated Fujian Medical University). The participants were 51 men and 149 women of a mean age 29.9±8.2 years and a body mass index (BMI) 38.7±6.5 kg/m 2. All patients in this group underwent standardized LSG procedure. Achieving ideal weight (BMI≤25 kg/m 2) 1 year after LSG was defined as goal of EWL. Logistic regression analyses were performed to identify factors that independently influenced EWL. These factors were incorporated into the nomogram model. Receiver operating characteristic (ROC) curves (the larger the area under the curve [AUC], the better the predictive ability and accuracy of the model), likelihood ratio test (higher likelihood ratio indicates greater model homogeneity), decision curve analysis (higher net benefit indicates a better model), Akaike information criterion (AIC; smaller AIC indicates a better model), and Bayesian information criterion (BIC; smaller BIC indicates a better model) were used to validate the predictive ability of the column line diagram model. Results:In this study of 200 obese patients who underwent LSG surgery, 136 achieved EWL goal, whereas the remaining 64 did not. The rate of EWL goal achievement of the entire group was 68.0%. Compared with patients who did not achieve EWL goal, those who did had lower BMI, alanine transaminase, aspartate transaminase, triglycerides, and higher cholesterol. Additionally, the proportion of female was higher and the proportions of patients with fatty liver and hypertension lower in those who achieved EWL goal (all P<0.05). Univariate and multivariate logistic regression analysis revealed that preoperative BMI (OR=0.852, 95%CI: 0.796-0.912, P<0.001), alanine transaminase (OR=0.992, 95%CI: 0.985-0.999, P=0.024), presence of fatty liver (OR=0.185, 95%CI: 0.038-0.887, P=0.035) and hypertension (OR=0.374, 95%CI: 0.144-0.969, P=0.043) were independently associated with failure to achieve EWL goal. Cholesterol (OR=1.428, 95%CI: 1.052-1.939, P=0.022) was independently associated with achieving EWL goal. We used the above variables to establish an EWL nomogram model. ROC analysis, the likelihood ratio test, decision curve analysis, and AIC all revealed that the predictive value of the model was better than that of BMI alone (nomogram model vs. BMI: area under the curve 0.840 vs. 0.798, P=0.047; likelihood ratio: 58.785 vs. 36.565, AIC: 193.066 vs. 207.063, BIC: 212.856 vs. 213.660). Conclusion:Our predictive model is more accurate in predicting EWL after LSG compared with using BMI.

Objectives:To construct a nomogram prediction model using common preoperative indicators for early weight loss (EWL) 1 year after laparoscopic sleeve gastrectomy (LSG).Methods:Relevant data of obese patients who had undergone LSG from January 2015 to May 2022 in Fujian Medical University Union Hospital and Quanzhou First Hospital Affiliated Fujian Medical University were analyzed. Patients with a history of major abdominal surgery, severe gastroesophageal reflux disease, pregnancy within 1 year after surgery, or who were lost to follow-up were excluded, resulting in a total of 200 patients in the study (190 from Fujian Medical University Union Hospital and 10 from Quanzhou First Hospital Affiliated Fujian Medical University). The participants were 51 men and 149 women of a mean age 29.9±8.2 years and a body mass index (BMI) 38.7±6.5 kg/m 2. All patients in this group underwent standardized LSG procedure. Achieving ideal weight (BMI≤25 kg/m 2) 1 year after LSG was defined as goal of EWL. Logistic regression analyses were performed to identify factors that independently influenced EWL. These factors were incorporated into the nomogram model. Receiver operating characteristic (ROC) curves (the larger the area under the curve [AUC], the better the predictive ability and accuracy of the model), likelihood ratio test (higher likelihood ratio indicates greater model homogeneity), decision curve analysis (higher net benefit indicates a better model), Akaike information criterion (AIC; smaller AIC indicates a better model), and Bayesian information criterion (BIC; smaller BIC indicates a better model) were used to validate the predictive ability of the column line diagram model. Results:In this study of 200 obese patients who underwent LSG surgery, 136 achieved EWL goal, whereas the remaining 64 did not. The rate of EWL goal achievement of the entire group was 68.0%. Compared with patients who did not achieve EWL goal, those who did had lower BMI, alanine transaminase, aspartate transaminase, triglycerides, and higher cholesterol. Additionally, the proportion of female was higher and the proportions of patients with fatty liver and hypertension lower in those who achieved EWL goal (all P<0.05). Univariate and multivariate logistic regression analysis revealed that preoperative BMI (OR=0.852, 95%CI: 0.796-0.912, P<0.001), alanine transaminase (OR=0.992, 95%CI: 0.985-0.999, P=0.024), presence of fatty liver (OR=0.185, 95%CI: 0.038-0.887, P=0.035) and hypertension (OR=0.374, 95%CI: 0.144-0.969, P=0.043) were independently associated with failure to achieve EWL goal. Cholesterol (OR=1.428, 95%CI: 1.052-1.939, P=0.022) was independently associated with achieving EWL goal. We used the above variables to establish an EWL nomogram model. ROC analysis, the likelihood ratio test, decision curve analysis, and AIC all revealed that the predictive value of the model was better than that of BMI alone (nomogram model vs. BMI: area under the curve 0.840 vs. 0.798, P=0.047; likelihood ratio: 58.785 vs. 36.565, AIC: 193.066 vs. 207.063, BIC: 212.856 vs. 213.660). Conclusion:Our predictive model is more accurate in predicting EWL after LSG compared with using BMI.