Objective To compare the safety and efficacy of the da Vinci robot and thoracoscopic subxiphoid approach for the treatment of anterior mediastinal tumors. Methods The clinical data of patients who underwent anterior mediastinal tumor resection through the subxiphoid approach admitted to the same medical group in the Department of Thoracic Surgery of the First Hospital of Lanzhou University between June 2020 and April 2022 were retrospectively analyzed. According to the surgery approach, the patients were divided into a robot-assisted thoracoscopic surgery (RATS) group and a video-assisted thoracoscopic surgery (VATS) group. The perioperative data and the incidence of postoperative complications were compared between the two groups. Results A total of 79 patients were enrolled. There were 41 patients in the RATS group, including 13 males and 28 females, with an average age of 45.61±14.99 years. There were 38 patients in the VATS group, including 14 males and 24 females, with an average age of 47.84±15.05 years. All patients completed the surgery successfully. Hospitalization cost and operative time were higher or longer in the RATS group than those in the VATS group, and the difference was statistically significant (P<0.05). Intraoperative bleeding, postoperative hospital stay, postoperative water and food intake time, postoperative off-bed activity time, white blood cell count, neutrophil percentage and visual analogue scale (VAS) score on the first postoperative day, white blood cell count and neutrophil percentage on the third postoperative day, duration of analgesic pump use, the number of voluntary compressions of the analgesic pump, and mediastinal drainage volume were all superior to those in the VATS group (P<0.05). The differences in VAS scores on the third postoperative day, duration of drainage tube retention and postoperative complication rates were not statistically different between the two groups (P>0.05). Conclusion RATS subxiphoid anterior mediastinum tumor resection is a safe and feasible surgical method with less injury and higher safety, which is conducive to rapid postoperative recovery and has wide clinical application prospects.

Background At present, the practice of pulmonary rehabilitation for pneumoconiosis in China is in a primary stage. The basis for formulating an individualized comprehensive pulmonary rehabilitation plan is still insufficient, which is one of the factors limiting the development of community-level rehabilitation work. Objective To formulate an exercise prescription based on maximum heart rate measured by cardiopulmonary exercise test (CPET), conduct an individualized comprehensive pulmonary rehabilitation program with the exercise prescription for patients with stable pneumoconiosis, and evaluate its role in improving exercise endurance and quality of life, thus provide a basis for the application and promotion of pulmonary rehabilitation. Methods A total of 68 patients were recruited from the Occupational Disease Prevention Hospital of Jinneng Holding Coal Industry Group Co., Ltd. from April to August 2022 , and were divided into an intervention group and a control group by random number table method, with 34 cases in each group. All the pneumoconiosis patients participated in a baseline test. The control group was given routine drug treatment, while the intervention group received multidisciplinary comprehensive pulmonary rehabilitation treatment on the basis of routine drug treatment, including health education, breathing training, exercise training, nutrition guidance, psychological intervention, and sleep management, whose exercise intensity was determined according to the maximum heart rate provided by CPET. The rehabilitation training lasted for 24 weeks. Patients were evaluated at registration and the end of study respectively. CPET was used to measure peak oxygen uptake per kilogram (pVO₂/kg), anaerobic threshold (AT), carbon dioxide equivalent of ventilation (EqCO₂), maximum metabolic equivalent (METs), and maximum work (W_max). The modified British Medical Research Council Dyspnea Questionnaire (mMRC), Self-rating Anxiety Scale (SAS), Self-rating Depression Scale (SDS), Pittsburgh Sleep Quality Index (PSQI), Chronic Obstructive Pulmonary Disease Assessment Test (CAT), and Short Form of Health Survey (SF-36) were used to evaluate the potential effect of the comprehensive pulmonary rehabilitation program. Results Among the included 68 patients, 63 patients were having complete data, then 31 cases were assigned in the control group and 32 cases in the interventional group. Before the intervention, there was no significant difference in pVO₂/kg, AT, EqCO₂, METs, or W_max between the two groups (P>0.05). At the end of the trail, the indicators like pVO₂/kg [(19.81±2.38) mL·(min·kg)⁻¹], AT [(14.48±2.33) mL·(min·kg)⁻¹], METs (5.64±0.69), and W_max [(85.25±14) W] of patients in the intervention group were all higher than those [(13.90±2.37) mL·(min·kg)⁻¹, (11.70±1.94) mL·(min kg)⁻¹, (3.97±0.70), and (61.77±14.72) W, respectively] in the control group (P<0.001); there was no significant difference in EqCO₂ between the two groups (P=0.083). Before the trial, there was no significant difference in mMRC, SAS, SDS, PSQI, or CAT scores between the two groups (P>0.05). At the end of the trail, the mMRC score (1.16±0.57), SAS score (27.93±2.12), SDS score (26.48±1.44), PSQI score (1.08±0.88), and CAT score (4.34±3.28) of patients in the intervention group were lower than those [(2.03±0.83), (35.87±6.91), (34.23±6.65), (5.37±3.03), and (13.87±7.53), respectively] in the control group (P<0.001). The SF-36 scores of bodily pain (94.13±10.72), general health (87.50±5.68), vitality (95.31±5.53), mental health (99.88±0.71), and health changes (74.22±4.42) in the intervention group were higher than those [(71.87±32.72), (65.81±15.55), (74.52±16.45), (86.97±16.56), and (29.84±13.50), respectively] in the control group (P<0.001), and no significant difference was found in social functioning and role emotional scores (P>0.05). Conclusion Comprehensive pulmonary rehabilitation can increase the oxygen intake and exercise endurance of pneumoconiosis patients, ameliorate dyspnea symptoms, elevate psychological state and sleep quality, and improve the quality of life.

Objective:To explore the application value of fetal heart ultrasound image segmentation network model based on knowledge distillation technology in the fine segmentation of fetal heart ultrasound image at three-vessel and trachea (3VT) views.Methods:One thousand and three hundred fetals were retrospectively collected from Sir Run Run Shaw Hospital, Zhejiang University College of Medicine from January 2016 to December 2021, the two-dimensional grayscale ultrasound images of fetal heart at 3VT views were analyzed and then divided into training, validation, and test sets. The training and validation sets were used to construct the auxiliary diagnostic network models, and the test set was used to test the reliability of different network models (U-Net, DeepLabv3+ ). The 3VT views were collected and annotated by an experienced doctor as the reference standard. The intersection over union (IoU), pixel accuracy (PA) and Dice coefficient (Dice) were used as the 3 indexes to evaluate the segmentation accuracy, and the diagnostic efficiency of the training model was evaluated. The training model and the most commonly used segmentation models were identified, and the results were compared. A total of 101 images were randomly selected and assigned to junior doctors, AI and junior doctors assisted AI interpretation. Bland-Altman images were drawn to evaluate their consistency with the reference standard, and the results were compared.Results:The training model of knowledge distillation algorithm achieved better results than U-Net, DeepLabv3+ models on all evaluation indexes, and the average IoU, PA and Dice were 68.6%, 81.4% and 81.3%, respectively. Compared with the U-Net model and DeepLabv3+ model, more accurate segmentation boundaries were obtained by the knowledge distillation algorithm training model, and the quantitative evaluation indexes were improved. With the aid of the model, the diagnostic accuracy of junior doctors was improved.Conclusions:The knowledge distillation algorithm training model segmentation method can identify the anatomical structure of the fetal heart in the 3VT view of the fetal heart ultrasound image, and the recognition result is obviously better than other related methods, and can improve the accuracy of image recognition for doctors with low experience.

Objective It aims to construct a quality evaluation index system for cancer multidisciplinary diagnosis and treatment(MDT)model in China from a full process perspective,providing guidance for practical application and model optimization.Methods Based on the number of MDT publications and practical situations,20 provincial-level hospitals nationwide were selected as typical cases.Rooted theory was used to extract evaluation indicators from the original text of the cases through three-level coding.A cancer MDT quality evaluation index system was constructed under the Input-Process-Output framework.Results Through three-level coding,27 initial categories,8 subcategories,and 3 main categories were sorted out,and a cancer MDT quality evaluation index system was constructed with input,process,and output as the primary evaluation indicators,and top-level design,management system,object resources,meeting preparation,meeting progress,plan implementation,patient outcomes,and hospital outcomes as the secondary evaluation indicators.Conclusion The quality evaluation index system of cancer MDT mode based on the perspective of the entire process can effectively guide practical optimization,but there is still a need for the improvement of supporting policies and information systems to assist in quality evaluation.

Objective To investigate the mechanism of Ganmao Qingre Pills(GQP)against lung injury based on network pharmacology,molecular docking and in vivo experiments.Methods The potential targets of GQP in the treatment of lung injury were screened through traditional Chinese medicine systems pharmacology database and analysis platform(TCM-SP)and Genecards.A"Chinese medicine-active ingredients-targets"network was constructed using Cytoscape 3.9.0 software,then gene ontology(GO)function and Kyoto encyclopaedia of genes and genomes(KEGG)pathway enrichment analysis for potential targets were conducted using a bioinformatics cloud platform.We established a protein-protein interaction(PPI)network,which was intersected with"Chinese medicine-active ingredients-targets"network to obtain core targets.The molecular docking between key target proteins and active ingredients was performed.The effect of GQP on these key target proteins was verified by using a mouse model of lung injury.Results A total of 707 targets for the treatment of lung injury by GQP were identified,corresponding to 107 active ingredients in 11 Chinese medicines.It was found that GQP might regulate targets such as PTGS1,AR,and ACHE through active ingredients including stigmasterol,luteolin,and acacetin using the"Chinese medicine-active ingredients-targets"network analysis.Core targets such as SRC,EGFR,and STAT3 were discovered by using the PPI network.Key target proteins,including CDK1,CDK2,EGFR,ESR1 and SRC,were screened through the intersection analysis of the PPI network and"Chinese medicine-active ingredients-targets"network.Molecular docking study showed that stigmasterol,luteolin and acacetin had good binding effects with CDK1,CDK2,EGFR,ESR1,and SRC,respectively.In vivo experiments revealed that GQP dose-dependently attenuated lung injury and inflammatory infiltration,reduced the release of pro-inflammatory factors TNF-α,IL-1β and IL-6,increased the expression of CDK1 and CDK2,and decreased the expression of EGFR,ESR1 and SRC in lung injury mice.Conclusion The therapeutic effect of GQP against lung injury may be achieved through interaction of key active ingredients(stigmasterol,luteolin,and acacetin)and key target proteins(CDK1,CDK2,EGFR,ESR1,SRC),and regulation of key signaling pathways such as neuroactive ligand-receptor interactions,cancer pathways,and calcium signaling pathways.

Background It is a research hotspot to study the changes of metabolites and metabolic pathways in the process of coal worker's pneumoconiosis (CWP) by metabonomics and to explore its pathogenesis. Objective To study the change of metabolites in bronchoalveolar lavage fluid (BALF) of patients with CWP and explore the metabolic regulation mechanism of the disease. Methods Patients with CWP who met the national diagnostic criteria according to Diagnosis of occupational pneumoconiosis (GBZ 70-2015) and underwent massive whole lung lavage were selected as the case group, and patients with tracheostenosis who underwent bronchoscopy were selected as the control group. BALF samples were collected from the cases and the controls. After filtering out large particles and mucus, the supernatant was stored in a −80 ℃ refrigerator. The samples were detected and analyzed by liquid chromatography-mass spectrometry after adding extraction solution, cold bath ultrasonication, and high-speed centrifugation, and the metabolic profiles and related data of CWP patients were obtained. The differential metabolites related to the occurrence and development of CWP were screened by multiple statistical analysis; furthermore, we searched the Kyoto Encyclopedia of Genes and Genomes (KEGG) database for potential metabolic pathways involved in the progression. Results There was no significant difference in the general conditions of the subjects, such as weight, height, age, and length of service among the stage I group, the stage II group, the stage III group, and the control group (P˃0.05). When comparing the CWP stage I group with the control group, 48 differential metabolites were screened out, among which 14 were up-regulated and 34 were down-regulated. A total of 66 differential metabolites were screened out between the patients with CWP stage II and the controls, 14 up-regulated and 52 down-regulated differential metabolites. Compared with the control group, 63 differential metabolites were screened out in the patients with CWP stage III, including 11 up-regulated and 52 down-regulated differential metabolites. There were 36 differential metabolites that may be related to the occurrence of CWP, among which 11 differential metabolites were up-regulated, and 25 were down-regulated. Four significant differential metabolic pathways were identified through KEGG database query: linoleic acid metabolic pathway, alanine metabolic pathway, sphingolipid metabolic pathway, and glycerophospholipid metabolic pathway. Conclusion The metabolomic study of BALF show that there are 36 different metabolites in the occurrence and development of CWP, mainly associating with linoleic acid metabolism, alanine metabolism, sphingolipid metabolism, and glycerophospholipid metabolism pathways.

Background Pneumoconiosis is a widespread occupational disease in China at present. As a type of lung diseases, its pathological damage is mainly irreversible fibrotic changes in the lungs. Several studies have shown that the occurrence and development of lung diseases such as coal workers' pneumoconiosis are closely related to intestinal flora. Objective To observe intestinal flora of coal workers' pneumoconiosis patients based on the results of 16SrDNA high-throughput sequencing and evaluate the changes of intestinal flora after treatment with tetrandrine tablets. Methods A total of 80 patients with coal workers' pneumoconiosis attending the outpatient clinic of the Department of Occupational Diseases of the Emergency General Hospital from April to July 2022 were enrolled. All patients were treated with tetrandrine tablets for 4 weeks, with group A before the treatment of tetrandrine tablets and group B after the treatment. In the same period, 24 healthy controls (group C) were set up. Stool samples were collected before and after the treatment. Using 16SrDNA high-throughput sequencing, gene V3-V4 sequencing technology, and bioinformatic analysis platform, we evaluated the intestinal flora after treatment by groups. Results The dominant flora at the phylum level and genus level were the same across three groups. The relative abundances of phylum Bacteroidetes, Bifidobacterium, Bacteroides, and Facealibacterium in groups B and C were higher than those in group A, and the relative abundances of phy-lum Actinobacteria, genus Blautia, and genus Romboutsia in groups B and C were lower than those in group A (P＜0.05). The relative abundances of genus Clostridium, genus Megamonas, and genus Lactobacillus in group C was lower than that in groups A and B (P＜0.05). The alpha diversity analysis showed that the Chao1 index was higher in group A than in group C (P＜0.01). Compared with group A, the Shannon index was higher in group B, and the increases of Simpson index were all statistically significant in stage I patients (P＜0.05), but the differences in Chao1 index were not statistically significant (P＞0.05). The differences in the values of Chao1 index, Shannon index, and Simpson index in stage Ⅱ and stage III patients were not statistically significant (P＞0.05). The beta diversity analysis showed that the difference in flora structure between group A and group C was statistically significant (P＜0.05); the differences in flora structure before and after treatment in the same stage patients were statistically significant (P＜0.05). The partial least squares discriminant analysis (PLS-DA) showed that there were significant differences between group A and group C, and between group A and group B. The LEfSe analysis showed that the significant markers contributing to the differences were basically the same in stage I, stage Ⅱ, and stage Ⅲ after treatment, which were mainly phylum Bacteroidetes and its subordinate groups, class Negativicutes, or-der Selenomonas, and genus Facealibacterium. Conclusion There are differences in the distribution of flora between coal workers' pneumoconiosis patients and healthy individuals, and the structure and relative abundance of intestinal flora are changed and the number of beneficial flora is increased after treatment with tetrandrine tablets.

Objective It aims to construct a quality evaluation index system for cancer multidisciplinary diagnosis and treatment(MDT)model in China from a full process perspective,providing guidance for practical application and model optimization.Methods Based on the number of MDT publications and practical situations,20 provincial-level hospitals nationwide were selected as typical cases.Rooted theory was used to extract evaluation indicators from the original text of the cases through three-level coding.A cancer MDT quality evaluation index system was constructed under the Input-Process-Output framework.Results Through three-level coding,27 initial categories,8 subcategories,and 3 main categories were sorted out,and a cancer MDT quality evaluation index system was constructed with input,process,and output as the primary evaluation indicators,and top-level design,management system,object resources,meeting preparation,meeting progress,plan implementation,patient outcomes,and hospital outcomes as the secondary evaluation indicators.Conclusion The quality evaluation index system of cancer MDT mode based on the perspective of the entire process can effectively guide practical optimization,but there is still a need for the improvement of supporting policies and information systems to assist in quality evaluation.

Objective It aims to construct a quality evaluation index system for cancer multidisciplinary diagnosis and treatment(MDT)model in China from a full process perspective,providing guidance for practical application and model optimization.Methods Based on the number of MDT publications and practical situations,20 provincial-level hospitals nationwide were selected as typical cases.Rooted theory was used to extract evaluation indicators from the original text of the cases through three-level coding.A cancer MDT quality evaluation index system was constructed under the Input-Process-Output framework.Results Through three-level coding,27 initial categories,8 subcategories,and 3 main categories were sorted out,and a cancer MDT quality evaluation index system was constructed with input,process,and output as the primary evaluation indicators,and top-level design,management system,object resources,meeting preparation,meeting progress,plan implementation,patient outcomes,and hospital outcomes as the secondary evaluation indicators.Conclusion The quality evaluation index system of cancer MDT mode based on the perspective of the entire process can effectively guide practical optimization,but there is still a need for the improvement of supporting policies and information systems to assist in quality evaluation.

Objective It aims to construct a quality evaluation index system for cancer multidisciplinary diagnosis and treatment(MDT)model in China from a full process perspective,providing guidance for practical application and model optimization.Methods Based on the number of MDT publications and practical situations,20 provincial-level hospitals nationwide were selected as typical cases.Rooted theory was used to extract evaluation indicators from the original text of the cases through three-level coding.A cancer MDT quality evaluation index system was constructed under the Input-Process-Output framework.Results Through three-level coding,27 initial categories,8 subcategories,and 3 main categories were sorted out,and a cancer MDT quality evaluation index system was constructed with input,process,and output as the primary evaluation indicators,and top-level design,management system,object resources,meeting preparation,meeting progress,plan implementation,patient outcomes,and hospital outcomes as the secondary evaluation indicators.Conclusion The quality evaluation index system of cancer MDT mode based on the perspective of the entire process can effectively guide practical optimization,but there is still a need for the improvement of supporting policies and information systems to assist in quality evaluation.