Objective:To develop a deep learning-based segmentation model for anterior segment ultrasound biomicroscopy (UBM) images to automatically segment the anterior segment tissues of patients with primary angle-closure glaucoma (PACG).Methods:A single-center retrospective case series was conducted.A small-scale dataset comprised 468 UBM images of the anterior chamber angle closure from 156 patients with PACG who underwent the UBM examination at Tianjin Medical University Eye Hospital between July 12, 2022, and February 20, 2023.The UBM images were randomly split into a training dataset of 228 images and a testing dataset of 152 images using a random seed method in a ratio of 6∶4.The models were trained using the PSPNet model with MobileNet V2 and ResNet50 as backbones, the DeepLab v3+ model with MobileNet V2 and Xception as backbones, and the SegFormer model with MiT-B0 and MiT-B2 as backbones.The testing dataset was used for result prediction and to achieve segmentation of four regions: the cornea and sclera, iris, ciliary body, and anterior lens surface.To evaluate the performance of the models in segmenting the anterior segment structures, multiple metrics were assessed, including the mean intersection over union (mIoU), Dice coefficient, precision, recall, false negative rate, and specificity.A comparative analysis of the test results across the different models was subsequently performed.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of Tianjin Medical University Eye Hospital (No.2023KY-05).Results:The two models with the best segmentation performance were PSPNet and DeepLab v3+ .The PSPNet model with ResNet50 as the backbone achieved the mIoU of 85.11%, Dice coefficient of 91.38%, precision of 91.83%, recall of 90.94%, false negative rate of 9.06%, and specificity of 98.89%.The DeepLab v3+ model with MobileNet V2 as the backbone achieved an mIoU of 85.84%, Dice coefficient of 92.01%, precision of 92.67%, recall of 91.36%, false negative rate of 8.64%, and specificity of 98.90%.Among the five key metrics, mIoU, Dice coefficient, recall, false negative rate, and specificity, DeepLab v3+ exhibited the best segmentation performance.In addition, the DeepLab v3+ model with Xception as the backbone had the highest precision among all models, reaching 92.77%.Conclusions:The deep learning-based DeepLab v3+ model achieves precise segmentation of anterior segment tissue structures in PACG anterior segment UBM image segmentation, providing auxiliary support for clinical diagnosis.

Objective:To explore the impact of the fear of disease progression on the return-to-work readiness of patients after percutaneous coronary intervention (PCI) , and the chain mediating effect of psychological consistency and disease acceptance between the two factors.Methods:A convenience sampling method was used to select 198 PCI patients at the Affiliated Hospital of Jining Medical University from February 2023 to May 2024. The General Information Survey, Return-To-Work Readiness Scale, Fear of Progression Questionnaire-Short Form, Acceptance Illness Scale, and Sense of Coherence-13 were used to investigate the patients.Results:A total of 198 questionnaires were distributed, with 178 valid questionnaires returned, yielding an effective response rate of 89.90%. Among the patients' return-to-work readiness, 42 patients were in the pre-intention stage, 60 patients in the intention stage, 36 patients in the action preparation-self-assessment stage, and 40 patients in the action preparation-behavior stage. The fear of disease progression significantly influenced the patients' return-to-work readiness. Psychological consistency and disease acceptance played significant chain mediation roles between the fear of disease progression and return-to-work readiness, with a total mediation effect value of -0.072, accounting for 41.38% of the total effect.Conclusions:Return-to-work readiness in PCI patients needs improvement. Psychological consistency and disease acceptance play a chain mediation role between the fear of disease progression and return-to-work readiness. Healthcare providers should develop personalized care strategies based on patients' specific conditions, improve their psychological state, and enhance their readiness to return to work.

Objective To analyze the reverse mechano-electric effect of the layered structure of articular cartilage and its influencing factors.Methods The cartilage samples were classified according to their physiological thickness(approximately 0.4 mm for the upper layer,1 mm for the middle layer,and 0.6 mm for the lower layer).Through a non-contact external electric field testing method,how different influencing factors affected the reverse mechano-electric effect of articular cartilage was analyzed.Results When the electric field spacing decreased,water content increased,and in vitro time decreased,the displacement of normal layered cartilage in a non-contact electric field increased by 18,10,15 μm,respectively.In the case of simulated arthritis defects,as the defect depth and radius increased,the overall deviation deflection of articular cartilage gradually decreased by about 7 μm.Conclusions The three-layer cartilage differed in their reverse mechano-electricity effects,showing the greatest deflection in the middle layer at 90％water content,under 7 mm electric field spacing,and after 12 hours ex vivo.

Objective To investigate the role of Insulin like growth factor 2 mRNA binding protein 1(IGF2BP1)and long non-coding RNA LINC00160(LINC00160)in gastric cancer,and its potential mechanism of regulating the proliferation and invasion of gastric cancer cells.Methods Quantitative real time polymerase chain reaction(qRT-PCR)was used to detect the expression level of LINC00160 in gastric cancer tissues and cells.Bioinformatics prediction,RNA-binding protein immunoprecipitation(RIP)and methylated RNA immunoprecipitation(MeRIP)were used to verify the binding effect of LINC00160 and IGF2BP1.The correlation between the expression of LINC00160 and IGF2BP1 in gastric cancer tissues was analyzed by Pearson assay.CCK-8 assay and Transwell assay were used to detect cell proliferation and invasion.The changes of aerobic glycolysis index[glucose intake,lactate production,and Adenosine-triphosphate(ATP),extracellular acidification rate(ECAR)and oxygen consumption rate(OCR)]were detected and analyzed.Results Compared with normal tissues,the expression of LINC00160 in gastric cancer tissues(5.13±0.62 vs 1.02±0.03)was significantly up-regulated,and the difference was statistically significant(t=-36.266,P<0.001).The expression level of LINC00160 in gastric cancer cells was higher than that of human normal gastric epithelial cell line GES-1,and the difference was statistically significant(F=24.595,P<0.001).Compared with the control group,silenting LINC00160 significantly inhibited the proliferation(0.42±0.03 vs 1.03±0.04)and invasion(22.13%±1.97%vs 42.15%±2.67%)of AGS cells,decreased glucose uptake(2.11±0.26mmol/L vs 4.22±0.37mmol/L)and lactate production(6.84±1.25mmol/L vs 11.68±1.55mmol/L),decreased ECAR,and increased ATP(3.34±0.29mmol/L vs 1.87±0.24mmol/L)levels and OCR,and the differences were statistically significant(t=4.188～24.423,all P<0.01).The expression of IGF2BP1 protein in gastric cancer tissues(4.07±0.36)was significantly higher than that in adjacent tissues(1.01±0.03),and the difference was statistically significant(t=-46.396,P<0.01),and was positively correlated with the expression of LINC00160(r2=0.774 5,P<0.01).Mechanistic studies revealed that IGF2BP1 upregulated LINC00160 expression by binding m6A modified LINC00160 to promote its stability.Silencing IGF2BP1 significantly inhibited the expression of LINC00160 and the proliferation,invasion and aerobic glycolysis of gastric cancer cells,and the differences were statistically significant(t=4.386～11.989,all P<0.01).Overexpression of LINC00160 reversed the effect of IGF2BP1 silencing on AGS cells.Conclusion LINC00160 is significantly up-regulated in gastric cancer,and IGF2BP1 may stably regulate the expression of LINC00160 through m6A modification,promote the aerobic glycolysis of tumor cells,and participate in the occurrence and development of gastric cancer.

To analyze all-cause mortality among hepatitis C cases aged ≥18 years in Yuxi City from 2005 to 2023 and explore the interactions of factors influencing survival time. Baseline and follow-up data for hepatitis C cases reported during this period were extracted from the Chinese National Notifiable Disease Reporting System. Survival time and related factors were assessed using the Cox proportional hazards model. Kaplan-Meier cumulative mortality risk curves were generated for treated and untreated hepatitis C cases, and interactions among subgroups of various influencing factors were examined. A total of 5 110 hepatitis C cases aged ≥18 years were reported from 2005 to 2023, encompassing 35 349.25 person-years of observation with the follow-up time duration M ( Q1, Q3) was 6.17 (2.33, 11.08) person-years. There were 763 all-cause deaths, corresponding to a mortality density of 2.16 per 100 person-years. Survival analysis showed a statistically significant difference in cumulative mortality between the treated and untreated groups (Log-rank χ2=122.033, P<0.001), with a lower risk of death observed among treated patients. Additive model analysis showed that there was a synergistic interaction between treatment status and age group, with relative excess of interaction, attributable proportions of interaction, and synergy index of 6.16 (95 %CI: 2.70-9.61), 1.83 (95 %CI: 1.46-2.30), and 0.42 (95 %CI: 0.31-0.53), respectively; and between treatment status and gender. There was a synergistic interaction between treatment status and sex, with relative excess of interaction, attributable proportions of interaction, and synergy index of 2.63 (95 %CI: 1.14-4.13), 1.56 (95 %CI: 1.19-2.06), and 0.32 (95 %CI: 0.17-0.46), respectively. The cause of death composition were 38.53% (249 cases) attributed to hepatitis C-related causes.The leading non-hepatitis C-related causes of death were cardiovascular and cerebrovascular diseases, pulmonary diseases, malignancies, drug overdose, and injuries. In conclusion, hepatitis C cases ≥18 years of age in Yuxi City had a lower cumulative mortality rate when treated than when untreated. Treatment status interacted with age and gender on patient survival, respectively. Changes in patients with concomitant cardiovascular diseases, pulmonary diseases and malignancies should be focused.

Objective:To construct an evidence-based practice program for dietary management of patients with non-dialysis chronic kidney disease (CKD) based on best evidence and to evaluate the effectiveness of its application.Methods:The best evidence for dietary management of non-dialysis CKD patients was summarized. From September to October 2022, following the evidence clinical transformation model of the Fudan University Centre for Evidence-based Nursing, the best evidence was screened and evidence-based practice program were developed, taking into account patients' wishes, expert opinions, and clinical contexts. From November 2022 through March 2023, baseline reviews, analysis of barriers and facilitators were implemented. Between April 2023 and April 2024, evidence-based practice was carried out in the Department of Nephrology of the Second Affiliated Hospital of Guangzhou Medical University to compare the implementation rate of review indicators at the system, practitioner, and patient levels, and practitioners' knowledge before and after the application of evidence.Results:A total of 14 review indicators were developed. The implementation rate of the 12 review indicators and the practitioners' knowledge of the CKD diet were elevated after the evidence-based practice ( P<0.05) . Conclusions:Evidence-based practice program for dietary management of patients with non-dialysis CKD has a positive effect on improving practitioners' knowledge of non-dialysis CKD diets, implementation rate of dietary management behaviors, and patients' dietary behaviors.

Objective:To compare the benefits and prognostic risks of unilateral lobectomy (with or without isthmusectomy) or total (or near-total) thyroidectomy for primary foci of unilateral papillary thyroid cancer (PTC) patients with ipsilateral lateral cervical lymph node metastasis (LLNM) , so as to find out the optimal surgery for these patients.Methods:A total of 505 unilateral PTC patients with ipsilateral LLNM who underwent initial surgical treatment at the Thyroid Surgery Department of Zhejiang Cancer Hospital from Feb. 2012 to Jan. 2020 were retrospectively reviewed. The patients were divided into unilateral lobectomy group ( n=314) and total thyroidectomy group ( n=191) according to the extent of resection of primary foci. Then 177 pairs of cases were screened out after eliminating the potential confounding bias between the two groups by using propensity score matching (PSM) , analyzing the differences in clinical outcomes such as recurrence-free survival (RFS) , overall survival (OS) , hospitalization costs, and postoperative complications between the two groups. Results:After PSM, the postoperative complication rate was 37.3% ( n=66) in the total thyroidectomy group and 3.4% ( n=6) in the unilateral lobectomy group. The complication was mainly characterized by temporary hypoparathyroidism (HP) . Although the difference in length of hospitalization between the two groups was not statistically significant ( P=0.792) , patients in the unilateral lobectomy group used less surgical time ( P<0.001) , had lower hospitalization and surgical costs ( P<0.0001) , and took a relatively smaller dose of levothyroxine (L-T4) one month after the operation ( P<0.0001) , as compared with the total thyroidectomy group. Univariate analysis showed that the number of LLNM total lymph node metastasis (LNM) rate, LLNM rate, and T stage were significant risk factors for relapse. Multi-factor regression analysis indicated that T-staging was a risk factor for recurrence. After a median follow-up of 60 (3-138) months, 19 patients (10.7%) in the unilateral lobectomy group and 11 patients (6.2%) in the total thyroidectomy group recurred, with no statistical difference between the two groups ( P=0.133) . The OS curve displayed no significant difference between the unilateral lobectomy and total thyroidectomy groups ( P=0.740) . Conclusion:For unilateral PTC patients with ipsilateral LLNM without other high-risk features, unilateral lobectomy could be a better option.

Objective:To investigate the clinical outcomes and prognosis of patients with HBV associated hepatocellular carcinoma (HCC) combined with non-alcoholic fatty liver disease (NAFLD) after liver lobectomy.Methods:113 HBV infected HCC patients (HBV HCC group), 113 HCC patients with concomitant NAFLD (NAFLD-HCC group) and 113 HCC patients with concomitant HBV infection and NAFLD (HBV/NAFLD-HCC group) who underwent liver lobectomy at Heji Hospital Affiliated to Changzhi Medical College from Jan. 2018 to Jan. 2021 were selected. All patients underwent radical liver lobectomy and were followed up every 3 months from the date of discharge. The clinical pathological parameters, surgical related indicators, postoperative complications, short-term and long-term prognosis of three groups of patients were compared. Logistic regression analysis was used to identify risk factors related to overall survival of HBV/NAFLD-HCC patients.Results:①Compared with patients in HBV-HCC group and NAFLD-HCC group, body mass index, ratio of combined basic diseases (hyperlipidemia, hypertension, diabetes), and maximum tumor diameter of patients in HBV/NAFLD-HCC group were significantly higher ( P<0.05). While the proportion of patients with liver cirrhosis in HBV HCC group was significantly higher than that in NAFLD-HCC group and HBV/NAFLD-HCC group ( P<0.05). ②There was no significant statistical difference ( P>0.05) among three groups of patients in terms of intraoperative vascular occlusion time, surgical time, intraoperative bleeding volume, blood transfusion volume, or postoperative hospitalization time. ③Compared with HBV-HCC and NAFLD-HCC groups, the incidence of postoperative complications (including postoperative bleeding, liver failure after hepatectomy, biliary fistula, subphrenic effusion, and pleural effusion) and the number of perioperative deaths in HBV/NAFLD-HCC group were significantly higher ( P<0.05). ④Compared with HBV-HCC group and NAFLD-HCC group, the postoperative recurrence rate of HBV/NAFLD-HCC group was significantly higher ( P<0.05), and the overall survival and relapse-free survival of HBV/NAFLD-HCC group were significantly shortened ( P<0.05). ⑤Multivariate Cox regression analysis showed that hyperlipidemia, hypertension, diabetes, cirrhosis, and the largest tumor diameter were risk factors affecting the overall survival of HBV/NAFLD-HCC patients ( P<0.05) . Conclusions:Compared with patients in HBV-HCC and NAFLD-HCC group, HBV/NAFLD-HCC patients have poorer postoperative complications and prognosis. Hyperlipidemia, hypertension, diabetes, cirrhosis, and tumor maximum diameter are risk factors affecting the overall survival of HBV/NAFLD-HCC patients.

Objective:To develop a deep learning-based segmentation model for anterior segment ultrasound biomicroscopy (UBM) images to automatically segment the anterior segment tissues of patients with primary angle-closure glaucoma (PACG).Methods:A single-center retrospective case series was conducted.A small-scale dataset comprised 468 UBM images of the anterior chamber angle closure from 156 patients with PACG who underwent the UBM examination at Tianjin Medical University Eye Hospital between July 12, 2022, and February 20, 2023.The UBM images were randomly split into a training dataset of 228 images and a testing dataset of 152 images using a random seed method in a ratio of 6∶4.The models were trained using the PSPNet model with MobileNet V2 and ResNet50 as backbones, the DeepLab v3+ model with MobileNet V2 and Xception as backbones, and the SegFormer model with MiT-B0 and MiT-B2 as backbones.The testing dataset was used for result prediction and to achieve segmentation of four regions: the cornea and sclera, iris, ciliary body, and anterior lens surface.To evaluate the performance of the models in segmenting the anterior segment structures, multiple metrics were assessed, including the mean intersection over union (mIoU), Dice coefficient, precision, recall, false negative rate, and specificity.A comparative analysis of the test results across the different models was subsequently performed.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of Tianjin Medical University Eye Hospital (No.2023KY-05).Results:The two models with the best segmentation performance were PSPNet and DeepLab v3+ .The PSPNet model with ResNet50 as the backbone achieved the mIoU of 85.11%, Dice coefficient of 91.38%, precision of 91.83%, recall of 90.94%, false negative rate of 9.06%, and specificity of 98.89%.The DeepLab v3+ model with MobileNet V2 as the backbone achieved an mIoU of 85.84%, Dice coefficient of 92.01%, precision of 92.67%, recall of 91.36%, false negative rate of 8.64%, and specificity of 98.90%.Among the five key metrics, mIoU, Dice coefficient, recall, false negative rate, and specificity, DeepLab v3+ exhibited the best segmentation performance.In addition, the DeepLab v3+ model with Xception as the backbone had the highest precision among all models, reaching 92.77%.Conclusions:The deep learning-based DeepLab v3+ model achieves precise segmentation of anterior segment tissue structures in PACG anterior segment UBM image segmentation, providing auxiliary support for clinical diagnosis.

Objective To investigate the role of Insulin like growth factor 2 mRNA binding protein 1(IGF2BP1)and long non-coding RNA LINC00160(LINC00160)in gastric cancer,and its potential mechanism of regulating the proliferation and invasion of gastric cancer cells.Methods Quantitative real time polymerase chain reaction(qRT-PCR)was used to detect the expression level of LINC00160 in gastric cancer tissues and cells.Bioinformatics prediction,RNA-binding protein immunoprecipitation(RIP)and methylated RNA immunoprecipitation(MeRIP)were used to verify the binding effect of LINC00160 and IGF2BP1.The correlation between the expression of LINC00160 and IGF2BP1 in gastric cancer tissues was analyzed by Pearson assay.CCK-8 assay and Transwell assay were used to detect cell proliferation and invasion.The changes of aerobic glycolysis index[glucose intake,lactate production,and Adenosine-triphosphate(ATP),extracellular acidification rate(ECAR)and oxygen consumption rate(OCR)]were detected and analyzed.Results Compared with normal tissues,the expression of LINC00160 in gastric cancer tissues(5.13±0.62 vs 1.02±0.03)was significantly up-regulated,and the difference was statistically significant(t=-36.266,P<0.001).The expression level of LINC00160 in gastric cancer cells was higher than that of human normal gastric epithelial cell line GES-1,and the difference was statistically significant(F=24.595,P<0.001).Compared with the control group,silenting LINC00160 significantly inhibited the proliferation(0.42±0.03 vs 1.03±0.04)and invasion(22.13%±1.97%vs 42.15%±2.67%)of AGS cells,decreased glucose uptake(2.11±0.26mmol/L vs 4.22±0.37mmol/L)and lactate production(6.84±1.25mmol/L vs 11.68±1.55mmol/L),decreased ECAR,and increased ATP(3.34±0.29mmol/L vs 1.87±0.24mmol/L)levels and OCR,and the differences were statistically significant(t=4.188～24.423,all P<0.01).The expression of IGF2BP1 protein in gastric cancer tissues(4.07±0.36)was significantly higher than that in adjacent tissues(1.01±0.03),and the difference was statistically significant(t=-46.396,P<0.01),and was positively correlated with the expression of LINC00160(r2=0.774 5,P<0.01).Mechanistic studies revealed that IGF2BP1 upregulated LINC00160 expression by binding m6A modified LINC00160 to promote its stability.Silencing IGF2BP1 significantly inhibited the expression of LINC00160 and the proliferation,invasion and aerobic glycolysis of gastric cancer cells,and the differences were statistically significant(t=4.386～11.989,all P<0.01).Overexpression of LINC00160 reversed the effect of IGF2BP1 silencing on AGS cells.Conclusion LINC00160 is significantly up-regulated in gastric cancer,and IGF2BP1 may stably regulate the expression of LINC00160 through m6A modification,promote the aerobic glycolysis of tumor cells,and participate in the occurrence and development of gastric cancer.