Endometrial cancer (EC) is one of the most common gynecological malignancies, with an increasing incidence rate worldwide. Accurate segmentation of lesion areas in computed tomography (CT) images is a critical step in assisting clinical diagnosis. In this study, we propose a novel deep learning-based segmentation model, termed spatial choice and weight union network (SCWU-Net), which incorporates two newly designed modules: the spatial selection module (SSM) and the combination weight module (CWM). The SSM enhances the model's ability to capture contextual information through deep convolutional blocks, while the CWM, based on joint attention mechanisms, is employed within the skip connections to further boost segmentation performance. By integrating the strengths of both modules into a U-shaped multi-scale architecture, the model achieves precise segmentation of EC lesion regions. Experimental results on a public dataset demonstrate that SCWU-Net achieves a Dice similarity coefficient (DSC) of 82.98%, an intersection over union (IoU) of 78.63%, a precision of 92.36%, and a recall of 84.10%. Its overall performance is significantly outperforming other state-of-the-art models. This study enhances the accuracy of lesion segmentation in EC CT images and holds potential clinical value for the auxiliary diagnosis of endometrial cancer.
Humans ; Endometrial Neoplasms/diagnostic imaging* ; Female ; Tomography, X-Ray Computed/methods* ; Deep Learning ; Algorithms ; Image Processing, Computer-Assisted/methods* ; Neural Networks, Computer

OBJECTIVES: To explore the therapeutic mechanism of compound Centella asiatica formula (CCA) for alleviating Schistosoma japonicum (Sj)-induced liver fibrosis in mice. METHODS: The active components and targets of CCA were identified using the TCMSP database with cross-analysis of Sj-related liver fibrosis targets. A "drug-component-target-pathway-disease" network was constructed using Cytoscape 3.9.1. Functional enrichment analysis (GO/KEGG) was performed using DAVID. Molecular docking study was carried out to validate interactions between the core targets and the key compounds. For experimental validation of the results, 36 mice were divided into control group, Sj-infected model group, and CCA-treated groups. In the latter two groups, liver fibrosis was induced via abdominal infection with Sj cercariae for 8 weeks, followed by 8 weeks of daily treatment with CCA decoction or saline. Hepatic pathology of the mice was assessedwith HE and Masson staining, and hepatic expressions of collagen-I and collagen-III were detected using immunohistochemistry; serum IL-6 and TNF-α levels were determined with ELISA. Hepatic expressions of TLR4 and MyD88 proteins were analyzed with Western blotting. RESULTS: We identified a total of 107 bioactive CCA components and 791 targets, including 37 intersection targets linked to Sj-induced fibrosis. The core targets included TNF, TP53, JUN, MMP9, and CXCL8, involving the IL-17 signaling, lipid metabolism, TLR4/MyD88 axis, and cancer pathways. Molecular docking study confirmed strong binding affinity between quercetin (a primary CCA component) and TNF/TP53/JUN/MMP9. In Sj-infected mouse models, CCA treatment significantly attenuated hepatic inflammatory cell infiltration, reduced collagen-I and collagen-III deposition, improved tissue architecture, reduced serum IL-6 and TNF-α levels, and downregulated TLR4 and MyD88 expressions in the liver. CONCLUSIONS CCA mitigates Sj-induced liver fibrosis by targeting TNF, TP53, JUN, and MMP9 to modulate the TLR4/MyD88 pathway, thereby suppressing pro-inflammatory cytokine release, inhibiting hepatic stellate cell activation, reducing collagen deposition, and preventing granuloma formation in the liver.
Animals ; Toll-Like Receptor 4/metabolism* ; Mice ; Myeloid Differentiation Factor 88/metabolism* ; Schistosoma japonicum ; Liver Cirrhosis/parasitology* ; Schistosomiasis japonica ; Signal Transduction ; Molecular Docking Simulation ; Inflammation ; Centella/chemistry* ; Drugs, Chinese Herbal/pharmacology* ; Tumor Necrosis Factor-alpha/metabolism*

Objective : To study the effect of deep learning applied to the assisted diagnosis of radiolucent lesions and radiopaque lesions of the jaws in panoramic radiography and to reduce the missed diagnosis, with early screening to assist doctors to improve the diagnostic accuracy. Methods: This study was approved by the Ethics Committee of the West China Stomatological Hospital of Sichuan University. The YOLO v8m-p2 neural network model was constructed with 443 panoramic images as a subject to read. The labeled images were divided into 354 training sets, 45 verification sets, and 44 test sets, which were used for model training, verification, and testing. Accuracy, recall, F-1 score, G score, and mAP50 were used to evaluate the detection performance of the model. Results: 443 panoramic images covered the common benign lesions of the jaw, the number of radiolucent lesions of the jaw was 318, containing dentigerous cyst, odontogenic keratocyst, and ameloblastoma. The number of radiopaque lesions was 145, containing idiopathic osteosclerosis, odontoma, cementoma, and cemento-osseous dysplasia; the samples are well representative. The accuracy of the YOLO v8m-p2 neural network model in identifying jaw lesions was 0.887, and the recall, F-1 score, G score, and mAP50 were 0.860, 0.873, 0.873, and 0.863, respectively. The recall rates of dentigerous cyst, odontogenic keratocyst, and ameloblastoma were 0.833, 0.941, and 0.875, respectively. Conclusion YOLO v8m-p2 neural network model has good diagnostic performance in preliminary detection of radiolucent and radiopaque lesions of the jaws in panoramic radiography and multi-classification monitoring of radiolucent lesions of jaws, which can assist doctors to screen jaw diseases in panoramic radiography.

Objective Developing a new type of full-face respiratory protective mask for nuclear facility sites to enhance the sound transmission function and improve the facial adaptability. Methods Combined with feedback from on-site practical needs, this study utilized finite element simulation and ergonomic design methods to investigate the voice transmission units of full-face masks and the facial features of workers at key nuclear facilities. Based on the research results, a new full-face respiratory protection mask structure was designed. Results The optimized structure of passive thin film voice transmission unit significantly enhanced voice transmission efficiency, reducing average voice transmission loss by approximately 70% compared to the control group using thin plate units of equivalent thickness. The existing facial feature test panels insufficiently cover and unevenly classify the facial features of workers at key nuclear facilities. In this study, a specialized test panel based on measurement data achieved a total coverage of 98.5% with high distribution uniformity within each class, providing effective guidance for redesigning full-face mask structural parameters. In comparison to foreign products currently utilized in nuclear facilities, the newly designed full-face mask structure exhibited excellent tightness and structural safety and reliability, and can be cleaned, decontaminated, and reused. Conclusion The results of this study provide significant guidance for improving and optimizing full-face respiratory protection mask used at nuclear facilities, as well as promoting domestic production of high-quality full-face respiratory protection masks.

Objective To investigate the effects and mechanism of TET2 inhibitor itaconate in prolifer-ation and migration of breast cancer cell line MDA-MB-231.Methods The MDA-MB-231 cells were treated for 24 h with dimethyl sulfoxide(DMSO)and 1,5 μmol/L itaconate respectively.The cellular apoptosis was determined by flow cytometry to determine the available itaconic acid concentration.The immunofluorescence was performed to determine the inhibiting effect of itaconate on hydroxymethylcytosine(5hmC)expression level.The cell counting and MTS were performed to determine the effect of itaconate on cell proliferation and activity.The Transwell experiment was performed to determine the effect of itaconate on cell transfer ability.The methylation-specific real-time fluorescence quantitative PCR(qPCR)was used to detect the effects of ita-conic acid treatment on the methylation of promoter regions of genes related to cell proliferation and migra-tion.qPCR was used to detect the effects of itaconate on the cellular proliferation,migration related genes ex-pression.Results 5 μmol/L itaconate treating the cells had no significant effect on the cellular apoptosis,mo-reover could inhibit 5hmC expression level.The cell count and MTS results showed that itaconate could pro-mote the cell proliferation(increase by about 58％,P＜0.05)and increase the cell activity(increase by 42％,P＜0.05).The Transwell experiment results showed that itaconate increased the cell migration(increase by 55％,P＜0.05).The methylation-specific qPCR showed that the itaconate treatment significantly promoted the methyaltion of the promoters p21 and PTEN.The qPCR results showed that itaconate significantly inhibi-ted the expression levels of p21 and PTEN(P＜0.05).Conclusion Itaconate promotes the proliferation and migration of MDA-MB-231 cells through inhibiting 5hmC level of p21 and PTEN and decrease its expression.

Objective:To explore the clinical efficacy of endoscopic sleeve gastrectomy (ESG) in the treatment of obesity.Method:A 26 year old female patient was admitted on October 20, 2022 due to a progressive increase in weight for 2 years. Her body mass index (BMI) was 30.04 kg/m 2, body fat percentage was 39.2%, and visceral fat grade was 15. ESG was performed using the OverStitch SX endoscopic suture system. Result:The surgery was successful, with approximately 5 ml of intraoperative bleeding.The patient discharged on the first day after surgery. Two weeks after surgery, small bowel follow-through showed a tubular shape of the stomach. At 6 months after surgery, the BMI was 25.2 kg/m 2, body fat percentage was 32%, visceral fat grade was 10. The total body weight loss rate (%TBWL) at 6 months after surgery was 16%, and the excess weight loss rate (%EWL) was 54.5%. Conclusion:ESG is effective for the treatment of obesity.

Objective:To explore the clinical efficacy of endoscopic sleeve gastrectomy (ESG) in the treatment of obesity.Method:A 26 year old female patient was admitted on October 20, 2022 due to a progressive increase in weight for 2 years. Her body mass index (BMI) was 30.04 kg/m 2, body fat percentage was 39.2%, and visceral fat grade was 15. ESG was performed using the OverStitch SX endoscopic suture system. Result:The surgery was successful, with approximately 5 ml of intraoperative bleeding.The patient discharged on the first day after surgery. Two weeks after surgery, small bowel follow-through showed a tubular shape of the stomach. At 6 months after surgery, the BMI was 25.2 kg/m 2, body fat percentage was 32%, visceral fat grade was 10. The total body weight loss rate (%TBWL) at 6 months after surgery was 16%, and the excess weight loss rate (%EWL) was 54.5%. Conclusion:ESG is effective for the treatment of obesity.

Objective:To investigate the risk factors for postoperative stiffness following rotator cuff repair and to develop a predictive risk assessment model.Methods:A retrospective analysis was conducted on 251 patients (111 males and 140 females) who underwent rotator cuff repair at the Department of Orthopedics, Civil Aviation General Hospital, from June 2016 to December 2022. Patients were divided into two groups based on the time of admission: the modeling group, comprising patients treated from June 2016 to June 2021, was used to construct the risk assessment model, while the validation group, including those treated from July 2021 to December 2022, was used to evaluate the model's effectiveness. In the modeling group, the incidence of postoperative stiffness one year after surgery was assessed. The study collected data on age, sex, body mass index, disease duration, smoking history, diabetes history, preoperative fat infiltration of the rotator cuff muscles, tear size, suturing technique, preoperative stiffness, re-tear rate, visual analogue scale (VAS) scores at two and six weeks postoperatively, Constant-Murley scores at six weeks postoperatively, and both preoperative and postoperative critical shoulder angle (CSA), acromial index (AI), and lateral acromion angle (LAA). Univariate analysis was used to identify potential risk factors for postoperative stiffness, followed by multivariate logistic regression to construct the risk assessment model. The validation group was used to reassess the identified risk factors.Results:Postoperative stiffness occurred in 21 out of 176 patients in the modeling group. Logistic regression analysis revealed that diabetes history, higher fat infiltration of the rotator cuff muscles, larger tear size, preoperative stiffness, higher VAS score at six weeks postoperatively, and lower Constant-Murley score at six weeks postoperatively were significant risk factors for postoperative stiffness. Based on the logistic regression model, a nomogram was created using R software. In the validation group, postoperative stiffness was observed in 11 out of 75 patients. The area under the ROC curve (AUC=0.926) indicated good discriminative ability in predicting postoperative stiffness. The goodness-of-fit test (H-L test: χ 2=2.215, P=0.947) demonstrated moderate calibration of the model. Conclusion:A history of diabetes, high fat infiltration of the rotator cuff muscles, large or massive rotator cuff tears, preoperative stiffness, higher VAS scores at six weeks postoperatively, and lower Constant-Murley scores at six weeks postoperatively are significant risk factors for postoperative stiffness after rotator cuff repair. The risk assessment model shows good discriminative power and calibration, making it a useful tool for predicting the risk of postoperative stiffness following rotator cuff repair.

Objective:To explore the correlation between the anatomical features of shoulder joint and the re-tear rate after surgical repair for small and medium-sized rotator cuff tears.Methods:From June 2017 to June 2019, 55 patients who were diagnosed with small or medium-sized rotator cuff tears and treated with arthroscopic single-row repair were enrolled. Demographics including age, sex, disease course, history of smoking and diabetes mellitus, re-tear rates, Constant-Murley score, University of California, Los Angeles score (UCLA) at 6-month, 1-year, 2-year and 3-year after operation were collected. Postoperative critical shoulder angle (CSA) and acromial index (AI) were measured and calculated based on CT scan. The patients were divided into two groups: patients who got re-tear history during follow-up were included into endpoint re-tear (ER) group, and those who got no re-tear history during follow-up were included into endpoint non-tear (EN) group. One-way Anova was used to compare the CSA\AI among different follow-up point. Fisher's exact test was used to compare sex, morbidity of smoking and diabetes between the ER and EN groups. Two independent samples t-test were used to compare age, disease course, CSA and AI at 1-day after operation, functional scores at each follow-up point between the two groups. Binomial logistic regression analysis was performed to test CSA and AI at 1-day after operation as the risk factors of rotator cuff re-tear at 6-month, 1-year, 2-year and 3-year after operation. The predictive efficacy of CSA and AI at 1-day after operation on re-tear rate at 3-year after operation were evaluated by receiver operating characteristic (ROC) curves, Pearson correlation analysis was used to evaluate the correlation between postoperative CSA/AI and postoperative functional recovery. Results:The CSA and AI of ER group were insignificantly different among all follow-up point ( P>0.05), the CSA and AI of EN group were significantly different among all follow-up point ( F=14.163, P<0.001; F=4.635, P<0.001). The re-tear rates at 6-month, 1-year, 2-year and 3-year after operation were 3.6%, 7.3%, 12.7%, 18.2%. The Constant-Murley score and UCLA scores of ER group at 3-year after operation were 93.60±2.84 and 32.30±1.49, respectively while in EN group, they were 92.11±4.10 and 33.18±1.27, respectively, there were no difference of the Constant-Murley score and UCLA score between ER and EN group at 3-year after operation ( P>0.05). CSA at 1-day after operation was the risk factor to re-tear at 1-year, 2-year and 3-year after operation [ OR=4.622, 95% CI (1.01, 21.06), P=0.048; OR=7.071, 95% CI (1.52, 32.87), P=0.013; OR=3.40, 95% CI (1.42, 8.12), P=0.006]. CSA and AI at 1-day after operation had certain predictive efficacy for rotator cuff re-tear at 3-year after rehabilitation, and CSA was more specific than AI, the optimal cutoff values of CSA and AI at 1-day after operation for predicting rotator cuff re-tear at 3-year after operation were 35.3°and 0.69, the AUC were 0.87 [ OR=3.40, 95% CI (1.42, 8.12), P<0.001]、0.77 [ OR=1.33, 95% CI (0.87, 2.02), P=0.008] respectively. CSA and AI had no relationship with postoperative functional recovery. Conclusion:Greater CSA and AI were predictive factors of small and medium-sized rotator cuff re-tear 1-3 years after surgery with CSA being more specific than AI. However, CSA and AI had no relationship with postoperative functional recovery.

Objective:To investigate the correlation between anatomical features of shoulder joint and postoperative stiffness after rotator cuff repair.Methods:212 patients diagnosed with rotator cuff injury undergoing rotator cuff repair in Civil Aviation General Hospital from March 2016 to December 2021 were enrolled. There were 97 male and 115 female with an average age of 58.87±9.69 years old (range, 41-72). The patients were divided into stiffness group (SG) and non-stiffness group (NG) according to the range of shoulder joint motion at 3-month after operation. Preoperative and postoperative joint anatomical features including critical shoulder angle (CSA), acromial index (AI), lateral acromion angle (LAA) were measured and calculated through CT scan and 3-dimension reconstruction. Age, sex, course of disease, body mass index, tendon fatty infiltration degree, type of rotator cuff injury according to DeOrio & Cofield classification, suture method, and preoperative and 3-month postoperative range of shoulder motion (flexion, abduction, and external rotation), preoperative stiffness condition were collected. All factors between two groups were compared, and binomial logistic regression analysis was performed to find out the risk factors of postoperative joint stiffness. Receiver operating characteristic (ROC) curves were plotted to evaluate the predictive efficacy of postoperative CSA, AI, and LAA for postoperative joint stiffness.Results:43 patients were enrolled in SG and 169 patients were enrolled in NG. Age, sex, course of disease, body mass index, tendon fatty infiltration degree, type of rotator cuff injury according to DeOrio & Cofield classification, suture method, and preoperative range of shoulder motion (flexion, abduction, and external rotation) between two groups were insignificantly different ( P>0.05). The ratio of patients with preoperative stiffness in SG is higher than that in NG (χ 2=40.38, P<0.001). Postoperative CSA and AI of SG were greater than those of NG ( t=5.44, P<0.001; t=4.89, P<0.001), and postoperative LAA of SG was smaller than that of NG group ( t=-5.86, P<0.001). Preoperative stiffness, large postoperative AI and small postoperative LAA were all risk factors of joint stiffness after rotator cuff suture [ OR=9.32, 95% CI(3.44, 25.27), P<0.001; OR=2.39, 95% CI(1.58, 3.62), P<0.001; OR=0.64, 95% CI(0.46, 0.91), P=0.012]. Postoperative CSA, AI and LAA had a certain predictive effect on postoperative joint stiffness (AUC>0.70). LAA was the most sensitive factor and CSA was the most specific factor. The optimal cutoff values of CSA, AI and LAA were 34.4°, 0.70 and 74.5° respectively, and the AUC for predicting postoperative joint stiffness were 0.76 [ OR=0.98, 95% CI(0.69, 0.84), P<0.001]、0.78[ OR=2.39, 95% CI(0.70, 0.84), P<0.001]、0.76[ OR=0.64, 95% CI(0.68, 0.83), P<0.001]. Conclusion:Postoperative CSA, AI and LAA had predictive efficacy on joint stiffness after rotator cuff repair. The greater postoperative CSA and AI or smaller postoperative LAA indicates increased risk of postoperative joint stiffness. LAA was the most sensitive factor and CSA was the most specific factor.