[Purpose]To analyze the trends of incidence and age at onset of leukemia in Jiangsu cancer registration areas from 2009 to 2019.[Methods]The continuous monitoring data of leukemia from 2009 to 2019 were collected from 16 cancer registries in Jiangsu Province.All datasets were checked and evaluated based on data quality control criteria and were included in the analysis.Crude incidence rate(CIR),age-standardized incidence rate by Chinese standard population(ASIRC),the average annual percentage change(AAPC),the standardized average age at onset,the changes in the age structure of incidence and the changes in the birth cohort by year were calculated.[Results]The incidence rate of leukemia significantly increased from 5.22/105 in 2009 to 7.88/105 in 2019,with a significant upward trend(for CIR,AAPC=4.95％,95％CI:3.82％～6.09％;for ASIRC,AAPC=2.97％,95％CI:1.52％～4.43％).The incidence rates were in-creased in all age groups and increased with the birth cohort by years.There was a tendency of backward shift for the age composition of the population,with the increasing of composition for those over 60 years old.The mean age at onset increased from 48.62 years old in 2009 to 57.96 years old in 2019,with a backward shift in the mean age(β=0.773,P＜0.001),and the mean age at onset increased with the year only in rural areas after standardization(β=0.428,P=0.017).[Conclusion]Leukemia incidence rate in Jiangsu Province increased from 2009 to 2019,and the age at onset has shifted backwards.It's important to strengthen the early prevention and control of leukemia.

[Purpose]To analyze the trends of brain tumor incidence and age of onset in cancer registration areas of Jiangsu Province from 2009 to 2019.[Methods]The incidence data of brain tumors from 2009 to 2019 were obtained from 16 national cancer registration areas of Jiangsu Province.The crude incidence rate,age-standardized incidence rate by Chinese standard popula-tion(ASIRC),average age of onset,standardized age-specific incidence rate,and annual average percentage change(AAPC)by sexes and regions were calculated.[Results]The incidence rate of brain tumor in Jiangsu Province from 2009 to 2019 showed an increasing trend(AAPC=4.12％,95％CI:3.31％～4.95％),and the increase in female(AAPC=5.79％,95％CI:4.44％～7.15％)was higher than that in male(AAPC=2.31％,95％CI:1.66％～2.97％);and the increase in urban areas(AAPC=4.84％,95％CI:3.52％～6.18％)was higher than that in rural areas(AAPC=3.04％,95％CI:2.12％～3.98％).The ASIRC also showed an increasing trend(AAPC=2.14％,95％CI:1.27％～3.02％).Birth cohort analysis showed that within the same age group,the incidence rate of brain tumors increased with increasing birth years.The average age of onset for crude incidence showed a delaying trend of 0.43 years old per year(t=7.09,P＜0.001);that for ASIRC was 0.20 years old per year(t=3.33,P=0.009).The proportion of patients in the age group of 60 years old and above increased from 35.79％in 2009 to 44.18％in 2019.[Conclusion]The incidence of brain tumor in cancer registration areas of Jiangsu Province showed an increasing trend from 2009 to 2019 with a delaying trend of average age of onset.

Capturing and replicating experts'acupuncture manipulation techniques is a crucial aspect in inheriting acupuncture manipulation techniques.The precision,stability and real-time performance during the capturing process will directly impact the quality of the technique replication.This article summarized the methods and application status of acupuncture technique capturing from the aspects of acupuncture technique measuring instrument,visual collection,and tactile collection,and analyzed the shortcomings of current research,further explored the application prospect of motion capture technologies such as optical technology and electromagnetic navigation technology in acupuncture manipulation acquisition,and provided references for acupuncture manipulation acquisition research.

This paper reviews the published articles of recent years on the application of deep learning methods in automatic localization of acupoint, and summarizes it from 3 key links, i.e. the dataset construction, the neural network model design, and the accuracy evaluation of acupoint localization. The significant progress has been obtained in the field of deep learning for acupoint localization, but the scale of acupoint detection needs to be expanded and the precision, the generalization ability, and the real-time performance of the model be advanced. The future research should focus on the support of standardized datasets, and the integration of 3D modeling and multimodal data fusion, so as to increase the accuracy and strengthen the personalization of acupoint localization.
Deep Learning ; Acupuncture Points ; Humans ; Neural Networks, Computer

[Purpose]To analyze the trends of incidence and age at onset of leukemia in Jiangsu cancer registration areas from 2009 to 2019.[Methods]The continuous monitoring data of leukemia from 2009 to 2019 were collected from 16 cancer registries in Jiangsu Province.All datasets were checked and evaluated based on data quality control criteria and were included in the analysis.Crude incidence rate(CIR),age-standardized incidence rate by Chinese standard population(ASIRC),the average annual percentage change(AAPC),the standardized average age at onset,the changes in the age structure of incidence and the changes in the birth cohort by year were calculated.[Results]The incidence rate of leukemia significantly increased from 5.22/105 in 2009 to 7.88/105 in 2019,with a significant upward trend(for CIR,AAPC=4.95％,95％CI:3.82％～6.09％;for ASIRC,AAPC=2.97％,95％CI:1.52％～4.43％).The incidence rates were in-creased in all age groups and increased with the birth cohort by years.There was a tendency of backward shift for the age composition of the population,with the increasing of composition for those over 60 years old.The mean age at onset increased from 48.62 years old in 2009 to 57.96 years old in 2019,with a backward shift in the mean age(β=0.773,P＜0.001),and the mean age at onset increased with the year only in rural areas after standardization(β=0.428,P=0.017).[Conclusion]Leukemia incidence rate in Jiangsu Province increased from 2009 to 2019,and the age at onset has shifted backwards.It's important to strengthen the early prevention and control of leukemia.

[Purpose]To analyze the trends of brain tumor incidence and age of onset in cancer registration areas of Jiangsu Province from 2009 to 2019.[Methods]The incidence data of brain tumors from 2009 to 2019 were obtained from 16 national cancer registration areas of Jiangsu Province.The crude incidence rate,age-standardized incidence rate by Chinese standard popula-tion(ASIRC),average age of onset,standardized age-specific incidence rate,and annual average percentage change(AAPC)by sexes and regions were calculated.[Results]The incidence rate of brain tumor in Jiangsu Province from 2009 to 2019 showed an increasing trend(AAPC=4.12％,95％CI:3.31％～4.95％),and the increase in female(AAPC=5.79％,95％CI:4.44％～7.15％)was higher than that in male(AAPC=2.31％,95％CI:1.66％～2.97％);and the increase in urban areas(AAPC=4.84％,95％CI:3.52％～6.18％)was higher than that in rural areas(AAPC=3.04％,95％CI:2.12％～3.98％).The ASIRC also showed an increasing trend(AAPC=2.14％,95％CI:1.27％～3.02％).Birth cohort analysis showed that within the same age group,the incidence rate of brain tumors increased with increasing birth years.The average age of onset for crude incidence showed a delaying trend of 0.43 years old per year(t=7.09,P＜0.001);that for ASIRC was 0.20 years old per year(t=3.33,P=0.009).The proportion of patients in the age group of 60 years old and above increased from 35.79％in 2009 to 44.18％in 2019.[Conclusion]The incidence of brain tumor in cancer registration areas of Jiangsu Province showed an increasing trend from 2009 to 2019 with a delaying trend of average age of onset.

Capturing and replicating experts'acupuncture manipulation techniques is a crucial aspect in inheriting acupuncture manipulation techniques.The precision,stability and real-time performance during the capturing process will directly impact the quality of the technique replication.This article summarized the methods and application status of acupuncture technique capturing from the aspects of acupuncture technique measuring instrument,visual collection,and tactile collection,and analyzed the shortcomings of current research,further explored the application prospect of motion capture technologies such as optical technology and electromagnetic navigation technology in acupuncture manipulation acquisition,and provided references for acupuncture manipulation acquisition research.

[Purpose]To investigate the trends of incidence and age at onset of uterine corpus can-cer in Jiangsu cancer registration areas from 2009 to 2019.[Methods]The continuous monitoring data of uterine corpus cancer from 2009 to 2019 were collected from 16 cancer registries in Jiang-su Province.The crude incidence rate,the age-standardized incidence rate by Chinese standard population(ASIRC),crude and adjusted mean age,and standardized age-specific incidence composition were calculated.The average annual percentage change(AAPC)were analyzed by the Joinpoint regression model.The linear regression model was used to analyze the relationship be-tween mean age at onset and year.The standardized age-specific incidence composition in 2009 and 2019 were compared.[Results]The ASIRC of uterine corpus cancer in all registration areas and in rural areas of Jiangsu Province showed upward trends with AAPC of 1.78％and 2.38％,re-spectively(P＜0.05),but not showed in the urban areas(AAPC=1.30％,P＞0.05).The crude mean age at onset increased from 56.48 years old in 2009 to 58.26 years old in 2019 with an average annual growth of 0.173 years old(P=0.001).After the population structure standardized,the trends disappeared in all registration areas.[Conclusion]From 2009 to 2019,the standardized incidence rates of uterine corpus cancer were on rise in Jiangsu cancer registration areas,especially in the age group of 50 to 59 years old.

Objective:To develop and validate a structure for broadening the Bragg peak to improve the efficiency and conformality of particle radiotherapy.Methods:Techniques of random stacking and regular stacking were employed to fabricate the mesh-stacked porous structure (MPS). In each layer of the grid, the thickness, line width and spacing were set at 0.1 mm, 0.1 mm and 0.5 mm, respectively, resulting in a total size of 10 cm ×10 cm. Monte Carlo code FLUKA was performed to simulate the transportation of 196 MeV/u carbon ion beam and a 105 MeV proton beam through the MPS. Dose distribution, fluence homogeneity, and modulation stability of the modulated beams were evaluated. Moreover, the modulation effect of MPS in clinical radiotherapy plans for nasopharyngeal carcinoma (63 Gy in 21 fractions), lung cancer (77 Gy in 22 fractions) and prostate cancer (70.4 Gy in 16 fractions) was also evaluated, respectively.Results:The MPS was capable of broadening the Bragg peak width by 1.73 mm for proton beams and 2.95 mm for carbon ion beams. For different entrance positions, regular stacking of more than 10 layers could reduce the modulation power difference of MPS to within 5%. For MPS with 30 layers of regular stacking, the modulated fluence homogeneity could achieve a value of less than 3% by transporting 18 cm distance in air. When comparing to the clinically used ripple filters, MPS reduced the isocenter spot size of proton beams by 0.91 mm. In the comparison study of the treatment plan for nasopharyngeal carcinoma, the use of MPS could shorten the treatment time by 213 s (37%) and reduce the maximum dose to the brainstem by 3.28 Gy (7.5%).Conclusions:MPS effectively broadens the Bragg peak of particle beams and improves the efficiency of clinical radiotherapy. Regularly stacked MPS demonstrates robust modulation stability, and the modulated beam achieves relatively well fluence homogeneity, making it a promising clinical application for closer to the patients and reducing lateral scattering.

Objective:To investigate the predictive performance of triglyceride and triglyceride glucose (TyG) index in the first trimester for the onset of gestational diabetes mellitus (GDM).Methods:Pregnant women who visited Beijing Chaoyang Maternal and Child Health Care Hospital and Beijing Haidian Maternal and Child Health Care Hospital from 2019 to 2022 were prospectively included. Concurrently, 78 healthy non-pregnant women who visited the Department of Endocrinology of Peking Union Medical College Hospital were included. The clinical characteristics and laboratory biomarkers including fasting blood glucose and blood lipid profiles were collected at the first visit in early pregnancy. Oral glucose tolerance test (OGTT) was performed at 24-28 weeks of gestation for GDM screening. Multivariate Logistic regression analysis was used to determine the association between biomarkers in early pregnancy and the risk of GDM. The receiver operating characteristic curve was used to evaluate the predictive performance and to identify the optimal cut-off value of triglyceride and TyG index in the first trimester for the risk of GDM.Results:A total of 1 677 pregnant women were included in this study, and the prevalence of GDM in our cohort was 19.6%. Compared with women who did not develop GDM, women with GDM showed an older maternal age, higher pre-pregnancy body mass index, and increased levels of laboratory biomarkers including fasting blood glucose, fasting insulin, total cholesterol, triglyceride, low-density lipoprotein cholesterol, TyG index, and Homeostasis Model Assessment of Insulin Resistance ( P<0.001). Logistic regression analysis showed that both triglyceride and TyG index in the first trimester were independent risk factors for GDM. The optimal cut-off values of triglyceride and TyG index for predicting the risk of GDM were 0.93 mmol/L and 8.10, respectively. The predictive performance can be further improved if maternal age and pre-pregnancy BMI are included. Conclusion:Triglyceride and TyG index in early pregnancy are closely associated with the risk of GDM, and can be used as early predictors of GDM.