This consensus will introduce the characteristics of fillers used in the surgical cavities of domestic nasal surgery patients based on relevant literature and expert opinions. It will also provide recommendations for the selection of cavity fillers for different nasal diseases, with chronic sinusitis as a representative example.
Humans ; Nasal Cavity/surgery* ; Nasal Surgical Procedures ; China ; Consensus ; Sinusitis/surgery* ; Dermal Fillers

ObjectiveTo analyze the incidence rate and mortality of acute myocardial infarction (AMI) and their changing trends among the registered residents in Xiaoshan District, Hangzhou City from 2017 to 2023, so as to provide references for formulating policies related to AMI prevention. MethodsThe morbidity and mortality data of AMI among the registered residents in Xiaoshan District from 2017 to 2023 were collected through the Hangzhou Chronic Disease and Death Cause Monitoring System. Software such as Excel 2019, SPSS 25.0 and Joinpoint 4.9.1.0 were used to calculate the incidence rate, mortality, and average annual percentage change (AAPC) of AMI. ResultsFrom 2017 to 2023, the average annual crude incidence rate, age-standardized incidence rate using China standard population (ASIRC), and the age-standardized incidence rate using World standard population (ASIRW) of AMI in Xiaoshan District were 48.25/100 000, 29.14/100 000, and 21.64/100 000, respectively, and, from which the AAPCs were 5.495%, 6.010%, and 6.533%, respectively, all showing an upward trend. The average annual crude mortality rate, the age-standardized mortality rate using China standard population (ASMRC), and the age-standardized mortality rate using World standard population (ASMRW) were 11.76/100 000, 6.52/100 000, and 4.71/100 000, respectively, from which the AAPCs were -9.669%, -10.433% and -9.615%, respectively, all showing a downward trend. The average annual crude incidence rate of AMI was higher in males (65.87/100 000) than that in females (31.31/100 000). Moreover, the average annual crude mortality rate of AMI was higher in males (14.08/100 000) than that in females (9.52/100 000), and the difference was statistically significant (all P<0.001) .After age grouping, the crude incidence rate of AMI among the residents aged 35-, 45-, 55-, and 65- years in Xiaoshan District from 2017 to 2023 showed an upward trend over time, with AAPCs of 16.993%, 17.149%, 8.523%, and 5.002%, respectively. While the crude mortality rate in residents aged 35-, 75-, and 85-102 years showed an decreasing trend over time, with AAPCs of -23.977%, -15.467%, and -17.415%, respectively, but there was no statistically significant difference in the trends in incidence rate and mortality of other age groups (all P>0.05). ConclusionThe situation of AMI prevention and control among the registered residents in Xiaoshan District is not optimistic, and targeted measures should be strengthened for the male residents aged ≥35 years old.

Purpose Based on a variety of combinations of cranial MR Dixon images,the deep learning method is used to generate CT images,and the reconstruction efficiency is evaluated by comparing with the corresponding CT images.Materials and Methods A total of 77 cranial CT and MR images were collected retrospectively in Ruijin Hospital,Shanghai Jiaotong University School of Medicine from June to December 2021.The U-Net neural network was used for network training,with 62 cases in the training set and 15 cases in the test set.CT image reconstruction was performed using four kinds of Dixon images and a total of seven models among the various combinations.Mean absolute error,mean squared error,Pearson correlation coefficient and skull area Dice similarity coefficient were used to evaluate the image reconstruction efficiency.Results The generated CT images of the various Dixon image combination models showed strong correlation with the corresponding CT images(R>0.75,P<0.05),and the CT images reconstructed by the four-channel model had the closest value to the actual CT images[mean absolute error=147.516±30.802,mean squared error=(8.648±3.403)×104],the highest correlation coefficient(R=0.796±0.055),and the highest similarity coefficient in the cranial region(Dice similarity coefficient=0.800±0.036).Conclusion Deep learning training through Dixon images can be used to generate CT images,and the combination of four kinds of Dixon contrast images can improve the CT image reconstruction efficiency.

Purpose Based on a variety of combinations of cranial MR Dixon images,the deep learning method is used to generate CT images,and the reconstruction efficiency is evaluated by comparing with the corresponding CT images.Materials and Methods A total of 77 cranial CT and MR images were collected retrospectively in Ruijin Hospital,Shanghai Jiaotong University School of Medicine from June to December 2021.The U-Net neural network was used for network training,with 62 cases in the training set and 15 cases in the test set.CT image reconstruction was performed using four kinds of Dixon images and a total of seven models among the various combinations.Mean absolute error,mean squared error,Pearson correlation coefficient and skull area Dice similarity coefficient were used to evaluate the image reconstruction efficiency.Results The generated CT images of the various Dixon image combination models showed strong correlation with the corresponding CT images(R>0.75,P<0.05),and the CT images reconstructed by the four-channel model had the closest value to the actual CT images[mean absolute error=147.516±30.802,mean squared error=(8.648±3.403)×104],the highest correlation coefficient(R=0.796±0.055),and the highest similarity coefficient in the cranial region(Dice similarity coefficient=0.800±0.036).Conclusion Deep learning training through Dixon images can be used to generate CT images,and the combination of four kinds of Dixon contrast images can improve the CT image reconstruction efficiency.

Objective: To understand the survival status and influencing factors of first-ever stroke patients, so as to provide evidence for improving the quality of life and prognosis of stroke patients. Methods: Demographic information, medical history, smoking history, and alcohol consumption history of newly diagnosed stroke cases first reported in 2017 in Xiaoshan District were collected through the Hangzhou Chronic Disease Surveillance and Management System. Patients were followed up for 5 years, with stroke death as the outcome event. The survival rate was calculated using the Kaplan-Meier method, and factors affecting survival time of first-ever stroke patients were identified using a multivariable Cox proportional hazard regression model. Results: A total of 3 886 patients first-ever stroke patients were included, the cases of cerebral infarction, intracerebral hemorrhage, subarachnoid hemorrhage, and stroke unspecified as to whether it was hemorrhagic or ischemic (unspecified) accounted for 86.93%, 11.45%, 1.06% and 0.57%, respectively. There were 2 047 males (52.68%) and 1 839 females (47.32%), with a mean onset age of (72.01±11.61) years. By the end of the follow-up on December 31, 2022, 906 patients died from stroke, with a median follow-up time of 62.00 (interquartile range, 35.00) months. The 1-year survival rate was 87.35% (95%CI: 86.30%-88.41%), the 3-year survival rate was 82.11% (95%CI: 80.88%-83.34%), and the 5-year survival rate was 76.64% (95%CI: 75.26%-78.02%), respectively. Multivariable Cox proportional hazard regression analysis showed that onset age of ≥75 years (HR=5.543, 95%CI: 3.822-8.039), being treated at township-level hospitals (HR=5.934, 95%CI: 4.027-8.743), history of hypertension (HR=1.566, 95%CI: 1.317-1.863), history of chronic ischemic heart disease (HR=1.611, 95%CI: 1.362-1.906), smoking history (HR=1.455, 95%CI: 1.190-1.778), alcohol consumption history (HR=1.323, 95%CI: 1.067-1.641), stroke subtype of intracerebral hemorrhage (HR=3.442, 95%CI: 2.923-4.053) and unspecified (HR=6.843, 95%CI: 4.353-10.756) were associated with higher mortality risk among first-ever stroke patients. Conclusion The 5-year survival rate of first-ever stroke patients was 76.64%, which was influenced by age of onset, hospital level for diagnosis and treatment, stroke subtype, medical history, smoking and alcohol consumption.

Methods: This paper introduces the concept of “order parameters” and proposes a method for establishing an order parameter model of gas discharge visualization (GDV) based on the principle of “mastering both permanence and change (MBPC)”. The method involved the following three steps. First, average luminous intensity () and average area () of the GDV images were calculated to construct the phase space, and the score of the health questionnaire was calculated as the health deviation index (H). Second, the k-means++ clustering method was employed to identify subclasses with the same health characteristics based on the data samples, and to statistically determine the symptom-specific frequencies of the subclasses. Third, the distance (d) between each sample and the “ideal health state”, which determined in the phase space of each subclass, was calculated as an order parameter describing the health imbalance, and a linear mapping was established between the d and the H. Further, the health implications of GDV signals were explored by analyzing subclass symptom profiles. We also compare the mean square error (MSE) with classification methods based on age, gender, and body mass index (BMI) indices to verify that the phase space possesses the ability to portray the health status of the human body. Results: This study preliminarily tested the reliability of the order parameter model on data samples provided by 20 participants. Based on the discovered linear law, the current model can use d calculated by measuring the GDV signal to predict H (R2 > 0.77). Combined with the symptom profiles of the subclasses, we explain the classification basis of the phase space based on the pattern identification. Compared with common classification methods based on age, gender, BMI, etc., the MSE of phase space-based classification was reduced by an order of magnitude. Conclusion In this study, the GDV order parameter model based on MBPC can identify subclasses and characterize individual health levels, and explore the TCM health meanings of the GDV signals by using subjective-objective methods, which holds significance for establishing mathematical models from TCM diagnosis principles to interpret human body signals.

Objective: To investigate the trend in mortality of malignant tumors in Xiaoshan District, Hangzhou City from 2017 to 2022, so as to provide insights into formulation of the malignant tumor control strategy. Methods: Data on mortality of malignant tumors in Xiaoshan District from 2017 to 2022 were collected through Hangzhou Municipal Chronic Disease Monitoring Management System, and the cause of death composition ratio and crude mortality were calculated. The mortality of malignant tumors was standardized by the population of the sixth National Population Census in China in 2010. The trend in mortality of malignant tumors were evaluated with average annual percent change (AAPC). Results: There were 13 301 malignant tumor deaths reported in Xiaoshan District from 2017 to 2022, accounting for 31.26% of the total cause of death and ranking the first among the causes of death. The crude mortality was 186.36/105 and standardized mortality was 106.63/105. There was no significant trend in the crude mortality of malignant tumors in Xiaoshan District from 2017 to 2022 (P>0.05), while the standardized mortality showed a tendency towards a decline (AAPC=-1.409%, P<0.05). The crude and standardized mortality of malignant tumors were higher in men than in women (241.40/105 vs. 133.37/105; 132.66/105 vs. 79.35/105; both P<0.05). There was no obvious trend in the crude mortality of malignant tumors in men (P>0.05), and the standardized mortality showed a tendency towards a decline (AAPC=-3.017%, P<0.05). While there was no obvious trend in the crude and standardized mortality of malignant tumors in women (P>0.05). The crude mortality of malignant tumors showed a tendency towards a decline among residents at ages of 15 to 44 years and 65 years and older (AAPC=-3.933% and -2.413%, both P<0.05). The crude mortality of malignant tumors was higher in men than in women among residents at ages of 0 to 14 years, 45 to 64 years and 65 years and older (all P<0.05). The five most common causes of death included lung cancer, colorectal cancer, liver cancer, gastric cancer and pancreatic cancer, accounting for 66.96% of all malignant tumors. The crude mortality of colorectal cancer from 2017 to 2022 showed a tendency towards a rise (AAPC=2.815%, P<0.05). Conclusions The standardized mortality of malignant tumors showed a tendency towards a decline in Xiaoshan District from 2017 to 2022. Management of malignant tumors should be given a high priority among men at ages of 45 years and older, and lung cancer, colorectal cancer, liver cancer, gastric cancer and pancreatic cancer were leading causes of death.

Objective: To investigate the mortality, probability of premature death and trends due to malignant tumors, cardio-cerebrovascular diseases, diabetes and chronic respiratory diseases in Xiaoshan District, Hangzhou City from 2015 to 2021, so as to provide the basis for the formulation of chronic diseases prevention and control strategies. Methods: The deaths of the four diseases in Xiaoshan District from 2015 to 2021 were collected from Zhejiang Provincial Chronic Diseases Surveillance Information Management System. The crude mortality, standardized mortality and probability of premature death were calculated. The trends in mortality and probability of premature death were analyzed using average annual percent change (AAPC), and the attainment of probability of premature death due to the four diseases was evaluated using the targets of probability of premature death control in 2025 and 2030. Results: Totally 36 130 deaths due to the four diseases were reported in Xiaoshan District from 2015 to 2021. The crude mortality and standardized mortality were 445.20/105 and 237.81/105, which appeared a tendency towards a decline (AAPC=-1.427% and -4.051%, both P<0.05), and the probability of premature death decreased from 9.99% to 7.82%, (AAPC=-4.123%, P<0.05). The standardized mortality of malignant tumors, cardio-cerebrovascular diseases and chronic respiratory diseases appeared a tendency towards a decline (AAPC=-3.017%, -4.999%, and -6.024%, all P<0.05), while there was no significant trend in the standardized mortality of diabetes (AAPC=-0.847%, P>0.05). The probability of premature death due to malignant tumors appeared a tendency towards a decline (AAPC=-4.167%, P<0.05), while there was no significant trends seen in the probability of premature death due to diabetes, cardio-cerebrovascular diseases and chronic respiratory diseases (AAPC=0.638%, -5.250% and -2.022%, all P>0.05). The average probability of premature death due to the four diseases decreased by 4.00% each year, and decreased by 6.64% in 2025 and 5.42% in 2030 as predicted, which were both lower than the target values of 7.99% and 6.99%. Conclusions The mortality and probability of premature death due to the four diseases appeared a tendency towards a decline in Xiaoshan District from 2015 to 2021, with the probability of premature death of malignant tumors decreased significantly. It is predicted that the probability of premature death of the four diseases can reach the target in 2025 and 2030.

Objective To compare the synergies between the transcutaneous needle electrodes and the ETT surface electrodes used for neurological surveillance in thyroidology,and explore how to identify and protect recurrent laryngeal nerve and vagus nerve when the patient is not suitable for oral plug or surface electrodes are failure.Methods To collect and analyze the clinical data of 32 patients undergoing surgical treatment for thyroid disease,a total of 40 neurons of the recurrent laryngeal nerves and vagus nerves were monitored,and the amplitude and latency were recorded using ETT surface electrodes and transcutaneous needle electrodes for nerve monitoring,respectively.SPSS 26.0 software was used for statistical analysis,paired t-tests were used to analyze and compare the latency periods,and the rank sum test was used to analyze whether there is a difference in the amplitude obtained from stimulation of transcutaneous needle electrodes and ETT surface electrodes.Results When the transcutaneous needle electrodes were used in thyroid surgery,we identified all the nerves,obtained two-phase electrical signals similar to the latency and amplitude of the ETT surface electrodes,and could effectively identify the recurrent laryngeal nerve and vagus nerve[(3.22±0.50)ms vs.(3.85±1.00)ms,P＜0.05]through the incapacity period,with no obvious difference in the monitoring effect from the ETT surface electrodes[(3.04±0.58)ms vs.(3.89±1.07)ms,P＜0.05].At the same time,the visualization and safety of transcutaneous needle electrodes were higher,with great advantages.Conclusion Transcutaneous needle electrodes can effectively assist in identifying and protecting the recurrent laryngeal nerve and vagus nerve,and thus are an important supplement to ETT surface electrodes.

BACKGROUND:Root canal preparation is a key step in root canal therapy.In recent years,with the rapid development of new nickel-titanium instruments,the results of root canal shaping ability have been significantly improved.However,the shaping abilities of different nickel-titanium instruments are also different.At present,there are few reports about the influence of the shaping ability of R-phase heat treatment NIC X-FILE and DENCO Pre-Shaper in simulated curved canals. OBJECTIVE:To compare the shaping effect of NIC X-FILE and DENCO Pre-Shaper nickel-titanium instruments in preparation for simulated curved canals. METHODS:Fifty simulated resin-curved canals were selected and randomly divided into two groups(n=25).NIC X-FILE and DENCO Pre-Shaper nickel-titanium files were used for root canal preparation.The root canal preparation time was recorded.Images of pre-and post-root canal preparation were taken.Image processing and analysis software were used to measure the amount of resin removed from the inner and outer walls of the root canal at each observation point.Statistical software was used to compare the root canal preparation time and centering ability of two kinds of mechanical nickel-titanium files. RESULTS AND CONCLUSION:(1)The average root canal preparation time was(1.58±0.02)minutes in the DENCO Pre-Shaper group and(2.22±0.03)minutes in the NIC X-FILE group.There was a significant difference between the two groups(P<0.05).(2)The amount of resin removed from the inner walls of the root canal of the DENCO Pre-Shaper group at 4,5,7,8,9,and 10 mm from the apical foramen was higher than that of the NIC X-FILE group(P<0.05).The amount of resin removed from the outer walls of the root canal of the DENCO Pre-Shaper group at 3,5,6,7,and 8 mm from the apical foramen was lower than that of the NIC X-FILE group(P<0.05).(3)At 2,4,5,6,7,8,and 9 mm away from apical foramen,the centering ability of the NIC X-FILE group was better than that of the DENCO Pre-Shaper group(P<0.05),and the centering ability of the NIC X-FILE group was the best at 4 mm away from apical foramen.(4)The results show that DENCO Pre-Shaper has higher mechanical efficiency than NIC X-FILE nickel-titanium root canal files.However,the centering ability of DENCO Pre-Shaper is inferior to NIC X-FILE nickel-titanium root canal files.