Objective:To analyze the characteristics of Hashimoto thyroiditis(HT)and Graves disease(GD),two autoimmune thyroid diseases aged 10-59 in Qingdao City from 2022 to 2024,and to provide scientific basis for making targeted prevention and treatment measures.Methods:A cross-sectional study design was adopted,based on the data of the Regional Health Information Platform in Qingdao,the con-firmed cases of HT and GD from 2022 to 2024 were included,and combined with the data of the seventh population census,the three-year and annual prevalence rates of HT and GD were calculated,and the time trend of annual prevalence was analyzed by Cochran-Armitage trend test.The distribution characte-ristics of HT and GD prevalence in different age groups and regions were analyzed,and Chi-square test was used to compare the differences between the groups.Results:The total number of HT patients among women aged 10-59 in Qingdao City from 2022 to 2024 was 40 362.The proportion of HT patients in 30-34 years old was the highest(19.83％).The proportion of HT patients in Huangdao District was the highest(17.72％).The three-year prevalence of HT was 1 206.53/100 000.In 2022-2024,the annual prevalence of HT increased significantly(P＜0.001),from 385.32/100 000 in 2022 to 1 206.32/100 000 in 2024.The three-year prevalence of HT was significantly different in age distribution(P＜0.001).The three-year prevalence of HT in 25-29 years(2 354.44/100 000)and 35-39 years(2 022.20/100 000)was higher than that in other age groups,showing a bimodal distribution.There were significant differences in the three-year prevalence of HT in different regions(P＜0.001),among which the three-year prevalence of HT in Shinan District was the highest(2 392.90/100 000),followed by Licang Dis-trict(1 492.41/100 000),and Laixi City was the lowest(659.940/100 000).The total number of GD patients was 2 095,among which the proportion of GD patients in the 35-39 age group was the highest(15.42％),and the proportion of GD patients from Jimo District was the highest(12.27％).From 2022 to 2024,the three-year prevalence rate of GD was 62.63/100 000,and the annual prevalence rate of GD showed an increasing trend(P＜0.001),from 20.33/100 000 in 2022 to 62.63/100 000 in 2024.There were significant differences in the prevalence of GD by age(P＜0.001).The three-year prevalence of GD reached the highest value in the 25-29 age group(98.90/100 000),followed by the 35-39 age group(85.21/100 000),and the lowest in the 10-14 age group(14.43/100 000).In the regional distribution,there were significant differences in the 3-year prevalence of GD(P＜0.001).Laoshan District had the highest three-year prevalence of GD(107.58/100 000),followed by Shinan District(97.83/100 000)and Huangdao District(28.92/100 000).Conclusion:The three-year pre-valence of HT and GD in females aged 10-59 years in Qingdao City from 2022 to 2024 is low,but the annual prevalence is on the rise,and the three-year prevalence of HT and GD in females aged 25-39 years is higher than that in other age groups,so it is necessary to strengthen the screening and monitoring of this population.

As a major global public health concern,cancer has witnessed a continues rise in both incidence and mortality rates.It pose not only a severe threat to human health but also a heavy burden on socioeconomic systems.Despite remarkable advancements in oncology research,critical challenges such as tumor heterogeneity,drug resistance,and limitations in early screening and diagnostic technologies remain to be addressed.Against this backdrop,artificial intelligence(AI),with its unique advantages in big data analysis,pattern recognition,and predictive modeling,has opened new avenues for cancer research.By integrating multi-modal data,including omics,imaging,and clinical information,AI not only accelerates investigations into fundamental tumor mechanisms but also demonstrates immense potential in areas such as early screening,biomarker discovery,and personalized treatment.These advancements have fostered a deeper integration of precision medicine and oncology.This review provides a comprehensive overview of the most recent progresses in the application of AI in cancer diagnosis and treatment research,with a focus on its practical value across diverse data types and clinical scenarios,as well as future directions for its development.

As a major global public health concern,cancer has witnessed a continues rise in both incidence and mortality rates.It pose not only a severe threat to human health but also a heavy burden on socioeconomic systems.Despite remarkable advancements in oncology research,critical challenges such as tumor heterogeneity,drug resistance,and limitations in early screening and diagnostic technologies remain to be addressed.Against this backdrop,artificial intelligence(AI),with its unique advantages in big data analysis,pattern recognition,and predictive modeling,has opened new avenues for cancer research.By integrating multi-modal data,including omics,imaging,and clinical information,AI not only accelerates investigations into fundamental tumor mechanisms but also demonstrates immense potential in areas such as early screening,biomarker discovery,and personalized treatment.These advancements have fostered a deeper integration of precision medicine and oncology.This review provides a comprehensive overview of the most recent progresses in the application of AI in cancer diagnosis and treatment research,with a focus on its practical value across diverse data types and clinical scenarios,as well as future directions for its development.

Objective:To analyze the characteristics of Hashimoto thyroiditis(HT)and Graves disease(GD),two autoimmune thyroid diseases aged 10-59 in Qingdao City from 2022 to 2024,and to provide scientific basis for making targeted prevention and treatment measures.Methods:A cross-sectional study design was adopted,based on the data of the Regional Health Information Platform in Qingdao,the con-firmed cases of HT and GD from 2022 to 2024 were included,and combined with the data of the seventh population census,the three-year and annual prevalence rates of HT and GD were calculated,and the time trend of annual prevalence was analyzed by Cochran-Armitage trend test.The distribution characte-ristics of HT and GD prevalence in different age groups and regions were analyzed,and Chi-square test was used to compare the differences between the groups.Results:The total number of HT patients among women aged 10-59 in Qingdao City from 2022 to 2024 was 40 362.The proportion of HT patients in 30-34 years old was the highest(19.83％).The proportion of HT patients in Huangdao District was the highest(17.72％).The three-year prevalence of HT was 1 206.53/100 000.In 2022-2024,the annual prevalence of HT increased significantly(P＜0.001),from 385.32/100 000 in 2022 to 1 206.32/100 000 in 2024.The three-year prevalence of HT was significantly different in age distribution(P＜0.001).The three-year prevalence of HT in 25-29 years(2 354.44/100 000)and 35-39 years(2 022.20/100 000)was higher than that in other age groups,showing a bimodal distribution.There were significant differences in the three-year prevalence of HT in different regions(P＜0.001),among which the three-year prevalence of HT in Shinan District was the highest(2 392.90/100 000),followed by Licang Dis-trict(1 492.41/100 000),and Laixi City was the lowest(659.940/100 000).The total number of GD patients was 2 095,among which the proportion of GD patients in the 35-39 age group was the highest(15.42％),and the proportion of GD patients from Jimo District was the highest(12.27％).From 2022 to 2024,the three-year prevalence rate of GD was 62.63/100 000,and the annual prevalence rate of GD showed an increasing trend(P＜0.001),from 20.33/100 000 in 2022 to 62.63/100 000 in 2024.There were significant differences in the prevalence of GD by age(P＜0.001).The three-year prevalence of GD reached the highest value in the 25-29 age group(98.90/100 000),followed by the 35-39 age group(85.21/100 000),and the lowest in the 10-14 age group(14.43/100 000).In the regional distribution,there were significant differences in the 3-year prevalence of GD(P＜0.001).Laoshan District had the highest three-year prevalence of GD(107.58/100 000),followed by Shinan District(97.83/100 000)and Huangdao District(28.92/100 000).Conclusion:The three-year pre-valence of HT and GD in females aged 10-59 years in Qingdao City from 2022 to 2024 is low,but the annual prevalence is on the rise,and the three-year prevalence of HT and GD in females aged 25-39 years is higher than that in other age groups,so it is necessary to strengthen the screening and monitoring of this population.

Objective To investigate the relationship between the expression of Krüppel-like factor 5(KLF5)and lysine demethylase 2A(KDM2A)in cancer tissues of patients with oral cancer and clinicopatho-logical characteristics and prognosis.Methods Cancer tissues of 80 patients with oral cancer who underwent surgical treatment in the Zigong First People's Hospital from January 2015 to January 2018 were retrospec-tively collected as research objects,and normal adjacent tissues were selected as controls.The expression of KLF5 and KDM2A in cancer tissues and adjacent tissues of patients with oral cancer was detected by immuno-histochemical staining,and the correlation between KLF5 and KDM2A in cancer tissues was analyzed by Spearman correlation.Clinicopathological features of patients with oral cancer were collected,and the relation-ship between the expression of KLF5 and KDM2A in cancer tissues and clinicopathological features of patients was analyzed,as well as the prognostic factors of patients with oral cancer were analyzed by multivariate Cox regression.Kaplan-Meier method was used to analyze the relationship between the expression of KLF5 and KDM2A and the prognosis of patients with oral cancer.Results The high expression rates of KDM2A and KLF5 in oral cancer tissues were significantly higher than those in adjacent tissues,and the difference was sta-tistically significant(P＜0.05).Spearman correlation analysis showed that there was a positive correlation be-tween KLF5 and KDM2A expression in oral cancer patients(r=0.375,P＜0.05).The expressions of KLF5 and KDM2A in patients with oral cancer were correlated with TNM stage,clinical stage,lymph node metasta-sis,local invasion and differentiation degree(P＜0.05).Multivariate Cox regression analysis showed that the expression level of KLF5 and KDM2A,TNM stage,lymph node metastasis,local invasion and differentiation degree were independent risk factors for poor prognosis in patients with oral cancer(P＜0.05).The 5-year survival rates of patients with high expression of KLF5 and KDM2A in cancer tissues[38.88％(21/54),42.37％(25/59)]were lower than those of patients with low expression of KLF5 and KDM2A in cancer tis-sues[65.38％(17/26),61.90％(13/21)],the difference was statistically significant(x2=6.554,4.046,P＜0.05).Conclusion The expression of KLF5 and KDM2A in cancer tissues of patients with oral cancer is high and affects the prognosis of patients.

Objective:To evaluate whether underdilated stent could reduce the occurrence of hepatic encephalopathy (HE) after transjugular intrahepatic portosystemic shunt (TIPS) creation.Methods:A total of 197 patients with decompensated liver cirrhosis, who had underwent TIPS creation at Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, were analyzed retrospectively, including 110 males and 87 females with age 25-79 (54±11) years old. Uncovered and covered stents with 8 mm diameter were implanted in all subjects, and then dilated by balloon catheters with 6 mm or 8 mm diameter. The patients were divided into two groups, including underdilated group (6 mm, n=105) and control group (8 mm, n=92).Kaplan-Meier curves were used to illustrate cumulative rate of HE, and the differences were assessed with the log-rank test. Multivariate analyses with a Cox regression model were conducted to explore the risk factors for HE. Results:During a median follow-up period of 29 (12-54) months, 16 (15.2%) patients developed HE in the underdilated group and 27 (29.3%) patients in the control group. There was a significant difference in the cumulative rate of HE ( P=0.014), but no statistical differences were found in terms of variceal rebleeding, shunt dysfunction and survival between the two groups ( P=0.608, P=0.659, P=0.968). In multivariated analysis, group assignment (underdilated vs. control, HR=0.291, 95% CI 0.125-0.674, P=0.004) was identified as an independent risk factor for HE after TIPS creation. Conclusion:Underdilated TIPS could reduced the risk of HE compared with completely dilated TIPS, with comparable risk of variceal rebleeding, shunt dysfunction and mortality. And it is worthy of applying this technique to a large sample of patients in clinical practice.

Objective:To investigate the effect of guided bone regeneration (GBR) on marginal bone loss (MBL) in the region of the mandibular posterior tooth by using a retrospective cohort study, in order to provide reference for clinical practice.Methods:The research subjects were patients who received dental implants from October 2008 to June 2011 in the region of the mandibular posterior tooth at the Department of Oral Implantology, School of Stomatology, The Fourth Military Medical University. According to whether GBR was performed or not and the time of implant insertion, the patients were divided into the controls group (patients without bone grafting), simultaneous GBR implantation group, and delayed GBR implantation group. On this basis, the MBL was measured according to radiographs by comparing the marginal bone level from that of immediate postoperation 10 years ago. General data was collected and compared among groups, including modified plaque index (mPI), modified sulcus bleeding index (mSBI), probing depth (PD), and gingival papilla height.Results:The controls group (patients without bone grafting), implantation group, and delayed GBR implantation group followed 58, 76, 26 implants in 26, 32, 13 patients aging at (46.5±9.9), (45.5±10.7), (58.3±6.4) respectively. The duration of the follow-up was (11.2±0.7), (11.1±0.8), (11.1±0.9) years respectively. The 10-year implant survival rate was 100% (58/58), 100% (76/76), 100% (26/26). The MBL was (0.91±0.28), (0.84±0.27), (1.01±0.27) mm respectively. The MBL difference of patients with simultaneous GBR implantation and delayed GBR implantation showed statistical significance ( P<0.05), but these two groups showed no statistical significance compared with the controls group ( P>0.05). The mPI, mSBI, PD, and gingival papilla height of the three groups all had no significance on statistics ( P>0.05). Conclusions:It can be concluded that there is no difference in long-term marginal bone resorption between simultaneous and delayed implantation with or without GBR (using autologous blood mixed with granular bone meal) in the posterior mandibular area.

Objective: To obtaine the parameters of tooth mobil ity in people with normal health teeth . Methods:Tooth mob ility of 1 4, 1 4 in 12 subjects (7 males and 5 females, aged 21 to 23 years old) was measured by FX-1 tooth mobility measurement system 6 times a day for 5 days.The data were statisticaly analyzed. Results: The average tooth mobility parameters Q and R varied significantl y (P0.05).Conclusion: The tooth mo bility parameters of S,K,t1 and t2 can steadily reflect the changing of tooth mobility.