Objective To propose a novel method based on three-dimensional depthwise separable convolution network(3D DSN)for the separation of PET images with dual tracers of 18F-FDG and 18F-FAPI.Methods A total of 120 pairs of 18F-FDG and 18F-FAPI PET images of the same patient scanned separately at different time points were collected,and the dual-tracer PET image was generated through simulation.After the image registration of PET images of two tracers for ensuring spatial position matching,the registered PET images were forward-projected to generate sinogram data,and the sinogram data of two tracers were accumulated to obtain mixed sinogram data.Subsequently,the dual-tracer PET image was reconstructed using maximum likelihood expectation maximization and input into a 3D DSN based network for image separation,thereby obtaining PET images of two single tracers.Results Compared with 3D CNN method,the proposed method increased the structure similarity index measure(SSIM)of the separated 18F-FDG images to the real 18F-FDG images by 0.87%,increased the peak signal-to-noise ratio(PSNR)by 11.8%,and reduced the normalized root mean square error(NRMSE)by 52%.The SSIM of the separated 18F-FAPI images to the real 18F-FAPI images increased by 1.1%,PSNR increased by 17.0%,and NRMSE decreased by 51%.Conclusion The proposed method can be effectively applied to simultaneous PET imaging with dual PET tracers,reducing the number of scans and costs in time and money,and providing clinical doctors more accurate and abundant diagnostic information.

Objective To propose a novel method based on three-dimensional depthwise separable convolution network(3D DSN)for the separation of PET images with dual tracers of 18F-FDG and 18F-FAPI.Methods A total of 120 pairs of 18F-FDG and 18F-FAPI PET images of the same patient scanned separately at different time points were collected,and the dual-tracer PET image was generated through simulation.After the image registration of PET images of two tracers for ensuring spatial position matching,the registered PET images were forward-projected to generate sinogram data,and the sinogram data of two tracers were accumulated to obtain mixed sinogram data.Subsequently,the dual-tracer PET image was reconstructed using maximum likelihood expectation maximization and input into a 3D DSN based network for image separation,thereby obtaining PET images of two single tracers.Results Compared with 3D CNN method,the proposed method increased the structure similarity index measure(SSIM)of the separated 18F-FDG images to the real 18F-FDG images by 0.87%,increased the peak signal-to-noise ratio(PSNR)by 11.8%,and reduced the normalized root mean square error(NRMSE)by 52%.The SSIM of the separated 18F-FAPI images to the real 18F-FAPI images increased by 1.1%,PSNR increased by 17.0%,and NRMSE decreased by 51%.Conclusion The proposed method can be effectively applied to simultaneous PET imaging with dual PET tracers,reducing the number of scans and costs in time and money,and providing clinical doctors more accurate and abundant diagnostic information.

Objective: To investigate the prevalence of major chronic diseases among residents in Xiamen City, Fujian Province, so as to provide insights into enhancing the prevention and control of chronic diseases. Methods: The residents aged 18 years and older and lived for 6 months and more were selected from 6 districts in Xiamen City from 2021 to 2022 using the stratified random sampling method. Demographic information, disease history, blood pressure, fasting blood glucose and blood cholesterol were collected through questionnaire surveys, physical examination and laboratory tests. The prevalence rates of hypertension, diabetes and hypercholesterolemia were calculated and standardized using the 2020 National Population Census data, and were analyzed by age and gender. Results: Totally 22 289 residents were investigated, including 10 444 males (46.86%) and 11 845 females (53.14%). The prevalence rates of hypertension, diabetes and hypercholesterolemia were 15.35%, 4.30% and 10.45%, and the standardized prevalence rates were 16.25%, 4.81% and 10.21%, respectively. The standardized prevalence rates of hypertension, diabetes and hypercholesterolemia in males were 19.20%, 5.71% and 9.97%, respectively, and were higher than those in females, which were 13.62%, 4.03% and 10.29%, respectively (all P<0.05). The crude prevalence rates of hypertension and diabetes in males aged 18 to 59 years were higher than those in females, the crude prevalence rate of hypercholesterolemia in males aged 18 to 49 years was higher than that in females, and the crude prevalence rate of hypercholesterolemia aged 50 years and over in males was lower than that in females (all P<0.05). Conclusion From 2017 to 2022, the prevalence rates of hypertension, diabetes, and hypercholesterolemia in males were higher than those in females in Xiamen City, while the prevalence rate of hypercholesterolemia in females was higher than that in males after the age of 50 years.

Various types of software needed in radiomics studies come with the problems such as data incompatibility and hyperparameter tuning.Therefore,an artificial intelligence-based software is developed for radiomics studies,providing doctors and researchers a solution with image preprocessing,feature extraction,feature selection,modeling analysis and data visualization.The usability of the software is demonstrated using a public data set.Eight sets of feature selectors and classifiers are established for classification predication on test data set and key performance indicator output.Through hyperparameter tuning,the model is further optimized.Researchers will focus more on the research itself rather than unnecessary development efforts,and radiomics studies will become more convenient and efficient with the software addressed.

Objective The prediction of RR intervals in hypertensive patients can help clinicians to analyze and warn patients'heart condition.Methods Using 8 patients'data as samples,the RR intervals of patients were predicted by long short-term memory network(LSTM)and gradient lift tree(XGBoost),and the prediction results of the two models were combined by the inverse variance method to overcome the disadvantage of single model prediction.Results Compared with the single model,the proposed combined model had a different degree of improvement in the prediction of RR intervals in 8 patients.Conclusion LSTM-XGBoost model provides a method for predicting RR intervals in hypertensive patients,which has potential clinical feasibility.

Various types of software needed in radiomics studies come with the problems such as data incompatibility and hyperparameter tuning.Therefore,an artificial intelligence-based software is developed for radiomics studies,providing doctors and researchers a solution with image preprocessing,feature extraction,feature selection,modeling analysis and data visualization.The usability of the software is demonstrated using a public data set.Eight sets of feature selectors and classifiers are established for classification predication on test data set and key performance indicator output.Through hyperparameter tuning,the model is further optimized.Researchers will focus more on the research itself rather than unnecessary development efforts,and radiomics studies will become more convenient and efficient with the software addressed.

Objective: The aim of this study is to investigate the effect of fibreoptic endoscopic of sallowing （FEES） in the assessment of pharyngeal dysphagia in post-irradiated patients with nasopharyngeal carcinoma. Method: Fifty-three NPC patients with post-irradiated underwent FEES and video fluoroscopy（VF）.The results were analyzed using the Bolus Residue Scale and Rosenbek's penetration aspiration scale. Result: The agreement in the detection of penetration and aspiration between FEES and VF of liquid（κ=0.56, 95%CI 0.38-0.73） and porridge（κ=0.64, 95%CI 0.43-0.81） was "fair". The detection rates of penetration on FEES with liquid and porridge were 60% and 51%, the detection rates of aspiration on VF with liquid and porridge were 70% and 53%. There were no statistical differences. The agreement in the detection of pharyngeal residue between FEES and VF of liquid （κ=0.38, 95%CI0.12-0.62） and porridge （κ=0.66, 95%CI 0.44-0.86） was "fair". The detection rates of pharyngeal residue on FEES and VF with porridge were 43% and 45%, the difference was not statistically significant. The detection rates of pharyngeal residue on FEES and VF with liquid were 44% and 24%, and the difference was statistically significant. Conclusion FEES is an effective and valuable tool for evaluating pharyngeal dysphagia in post-irradiated patients with nasopharyngeal carcinoma.

As the breakthrough in gene editing, represented by CRISPR/Cas9, gene manipulations now are more maneuverable, economically feasible and time saving. It is possible for China to catch an overtaking in researching and industrializing of downside sections (especially the application of plant gene editing), also the incubation of professional companies in gene editing fields. For this consideration, it is necessary and urgent to find the key demands and potential application for gene editing in China. Questionnaire and statistic analysis were carried out to find the key demands and the most potential application fields of the development for gene editing. Firstly, an ordered multi-classification Logistic regression model was established following with dependent variable analysis. Eight out of 24 questionnaires questions in 4 categories were regarded as independent variables with significance test. Then, regression model based on ordered multi-classification logistic method was established to analyze the specific impact of different options on the development of gene editing. The results showed that most researchers in the field of gene editing take the view that development of potential competitive advantages lies in the field of plant science. The results also showed that major gene editing experts believe more attention should be paid on how to carry out technology industrialization while focusing on basic technology development, as well as the development of potential competitive advantages of gene editing technology in plant field. To promote the development of gene editing in China, not only the participation of scientific research institution was needed, but also the synergy of various forces both universities and governments. It is urgent both properly guiding public opinion on gene editing and establishing a national safety standard system. At the same time, the key point of technology risk avoidance should be put on biological weapons and bioterrorism, gene editing related infectious disease, and the potential risk of species genetic change on the ecological environment, etc.
CRISPR-Cas Systems/genetics* ; China ; Clustered Regularly Interspaced Short Palindromic Repeats ; Gene Editing ; Plants/genetics*

Objective: To understand the health literacy and relevant factors of cancer prevention consciousness in Chinese urban residents from 2015 to 2017. Methods: A cross-sectional survey was conducted in 16 provinces covered by the Cancer Screening Program in Urban China from 2015 to 2017. A total of 32 257 local residents aged ≥18 years old who could understand the investigation procedure were included in the study by using the cluster sampling method and convenient sampling method. All local residents were categorized into four groups, which contained 15 524 community residents, 8 016 cancer risk assessment/screening population, 2 289 cancer patients and 6 428 occupational population, respectively. The self-designed questionnaire was used to collect the information of demographic characteristics and cancer prevention consciousness focusing on nine common risk factors, including smoking, alcohol, fiber food, food in hot temperature or pickled food, chewing betel nut, helicobacter pylori, moldy food, hepatitis B infection, estrogen, and exercise. The logistic regression model was adopted to identify the influencing factors. Results: The overall health literacy of the cancer prevention consciousness was 77.4% (24 980 participants), with 77.4% (12 018 participants), 79.9% (6 406 participants), 77.2% (1 766 participants) and 74.5% (4 709 participants) in each group (P<0.001). The correct response rates for nine risk factors ranged from 55.2% to 93.0%. The multivariate logistic regression analysis showed that compared with community residents, people with primary school level education or below, and the number of people living together in the family <3, the cancer risk assessment/screening intervention population, cancer patients, those with junior high school level educationor above and the number of people living in the family ≥3 had better health literacy of the cancer prevention consciousness (all P values <0.05). Compared with females, 39 years old and below, government-affiliated institutions or civil servants, from the eastern region, males, older than 40 years, company or enterprise employees, and from the middle or western region had worse health literacy of the cancer prevention consciousness (all P values <0.05). Conclusion The health literacy of the cancer prevention consciousness in Chinese urban residents should be improved. The cancer screening intervention, gender, age, education, occupation, the number of people co-living in the family, and residential region were associated with the health literacy of the cancer prevention consciousness.

Objective: To understand the consciousness of the cancer early detection among urban residents and identify the influencing factors from 2015 to 2017. Methods: A cross-sectional survey was conducted in 16 provinces covered by the Cancer Screening Program in Urban China from 2015 to 2017. A total of 32 257 local residents aged ≥18 years old who could understand the investigation procedure were included in the study by using the cluster sampling method and convenient sampling method. All local residents were categorized into four groups, which contained 15 524 community residents, 8 016 cancer risk assessment/screening population, 2 289 cancer patients and 6 428 occupational population, respectively. Self-designed questionnaires were used to collect population, socioeconomic indicators, self-cancer risk assessment, regular participation in physical examination and other information. The multivariate logistic regression model was used to identify the factors of people who had not regularly participated in the regular physical examination in the past five years. Results: The self-assessment results of 32 357 residents showed that there were 27.54% (8 882) of total study population with self-reported cancer risk, 45.48% (14 671) without cancer risk and 26.98% (8 704) with unclear judgement on their own cancer risk. Among population with cancer risk, 79.84% (7 091) considered physical examination accounted. In the past five years, there were 21 105 (65.43%) residents participated in regular physical examination and 11 148 (34.56%) participated in non-scheduled one, respectively. The multivariate logistic regression analysis showed that compared with unmarried and western region residents, divorced, middle and eastern region residents had a stronger consciousness to participate in the regular physical examination (P<0.05). Compare with residents with annual household income less than 20 000 CNY in 2014, cancer risk assessment/screening intervention population, and self-assessment with cancer risk, residents with annual household income between 20 000 CNY and 59 000 CNY in 2014, occupational population, community residents, cancer patients, self-reported cancer-free risk, and self-assessment with unclear judgement of cancer risk were less likely to participate in the regular physical examination (all P values <0.05). Conclusion From 2015 to 2017, the Chinese urban residents had a acceptable consciousness of the cancer early detection. The marital status, annual household income, population group and self-assessment of cancer risk were related to the consciousness of the cancer early detection of people who had not participated in the regular physical examination in the past five years.