Thoracic trauma has the characteristics of complexity, specificity, urgency and severity. Therefore, the treatment is particularly important. Thoracic Traumatology Group, Trauma Medicine Branch of Zhejiang Medical Association organized the writing of the thoracic trauma and further optimization consensus of Zhejiang thoracic surgery industry Treatment and diagnosis of rib and sternum trauma: A consensus statement by Zhejiang Association for Thoracic Surgery (version 2021), compiled the popular science book Emergency Treatment and Risk Avoidance Strategy of Thoracic Trauma and Illustration of Real Scene Treatment of Trauma, actively prepared to build the trauma database of Zhejiang Province, and participated in the construction of trauma group in the Yangtze River Delta. Although Zhejiang Province has carried out many related works in the diagnosis and treatment of chest trauma, it is still inconsistent with the development requirements of the times. Standardization of chest trauma treatment, popularization of relevant knowledge, management of trauma big data, grass-roots radiation promotion tour and further optimization of industry consensus are the requirements and objectives of this era.
Internal fixator is usually adopted in the treatment of bone fractures. In order to achieve anatomical reduction and effective fixation of fractures, the placement of internal fixators should comply with the biology force line of the bone and adapt to the specific anatomical morphological characteristics of the cortical bone. In order to investigate the distribution characteristics and formation regularity of biology force line and cortical thickness of human bone, three-dimensional model of proximal femur is established by using three-dimensional reconstruction technique in this paper. The normal physiological stress distribution of proximal femur is obtained by finite element analysis under three kinds of behavior conditions: one-legged stance, abduction and adduction. The structural topology optimization method is applied to simulate the cortex of the proximal femur under the combined action of three kinds of behavior conditions, and the anatomic morphological characteristics of the proximal femur are compared. The distribution trend of biology force line of proximal femur and the characteristics of cortex are analyzed. The results show that the biology force lines of bone structure and the morphological characteristics of cortex depend on the load of human activities. The distribution trend of biology force line is related to the direction of trabecular bone and the ridge trend and firmness of cortex when bone is loaded physiologically. The proposed analytical method provides a solution to determine the biology force line of bone and the distribution characteristics of cortex. The conclusions obtained may guide the reasonable placement of internal fixator components of fracture.
To enhance the accuracy of computer-aided diagnosis of adolescent depression based on electroencephalogram signals, this study collected signals of 32 female adolescents (16 depressed and 16 healthy, age: 16.3 ± 1.3) with eyes colsed for 4 min in a resting state. First, based on the phase synchronization between the signals, the phase-locked value (PLV) method was used to calculate brain functional connectivity in the θ and α frequency bands, respectively. Then based on the graph theory method, the network parameters, such as strength of the weighted network, average characteristic path length, and average clustering coefficient, were calculated separately (P < 0.05). Next, using the relationship between multiple thresholds and network parameters, the area under the curve (AUC) of each network parameter was extracted as new features (P < 0.05). Finally, support vector machine (SVM) was used to classify the two groups with the network parameters and their AUC as features. The study results show that with strength, average characteristic path length, and average clustering coefficient as features, the classification accuracy in the θ band is increased from 69% to 71%, 66% to 77%, and 50% to 68%, respectively. In the α band, the accuracy is increased from 72% to 79%, 69% to 82%, and 65% to 75%, respectively. And from overall view, when AUC of network parameters was used as a feature in the α band, the classification accuracy is improved compared to the network parameter feature. In the θ band, only the AUC of average clustering coefficient was applied to classification, and the accuracy is improved by 17.6%. The study proved that based on graph theory, the method of feature optimization of brain function network could provide some theoretical support for the computer-aided diagnosis of adolescent depression.
ObjectiveTo investigate the effect of pulmonary ultrasound on pulmonary complications in ultra-fast-track anesthesia for congenital heart disease surgery.MethodsIn 2019, 60 patients with congenital heart diseases underwent ultra-fast-track anesthesia in Shenzhen Children's Hospital, including 34 males and 26 females with the age ranging from 1 month to 6 years. They were randomly divided into a normal group (group N, n=30) and a lung ultrasound optimization group (group L, n=30). Both groups were used the same anesthesia method and anesthetic compatibility. The group N was anesthetized by ultra-fast-track, the tracheal tube was removed after operation and then the patients were sent to the cardiac intensive care unit (CCU). After operation in the group L, according to the contrast of pre- and post-operational lung ultrasonic examination results, for the patients with fusion of B line, atelectasis and pulmonary bronchus inflating sign which caused the increase of lung ultrasound score (LUS), targeted optimization treatment was performed, including sputum suction in the tracheal tube, bronchoscopy alveolar lavage, manual lung inflation suction, ultrasound-guided lung recruitment and other optimization treatments, and then the patients were extubated after lung ultrasound assessment and sent to CCU. The occurrence of pulmonary complications, LUS, oxygenation index (OI), extubation time, etc were compared between the two groups.ResultsCompared with the induction of anesthesia and 1 hour after extubation of the two groups, the incidence of pulmonary complications in the group L (18 patients, 60.0%) was lower than that in the group N (26 patients, 86.7%, χ2= 4.17, P=0.040) and the rate of patients with LUS score reduction was higher in the group L (15 patients, 50.0%) than that in the group N (7 patients, 23.3%, χ2=4.59, P=0.032). The correlation analysis between the LUS and OI value of all patients at each time point showed a good negative correlation (P<0.05). Extubation time in the group L was longer than that in the group N (18.70±5.42 min vs. 13.47±4.73 min, P=0.001).ConclusionUltra-fast-track anesthesia for congenital heart disease can be optimized by pulmonary ultrasound examination before extubation, which can significantly reduce postoperative pulmonary complications, improve postoperative lung imaging performance, and help patients recover after surgery, and has clinical application value.
It is the main method for amplifying the specific gene to use the nucleic acid amplification system to accomplish polymerase chain reaction (PCR). The temperature retard between heat source and sample exists in the heating and cooling progresses of most nucleic acid amplification system. The retard would result in the problem that the sample would take a long time to reach the set temperature and the problem would reduce the speed of integrate reaction. Non-specific products would be created in the process of amplification when the sample cannot reach the set temperature within a certainly time and the amplified efficiency would be reduced. A miniaturization nucleic acid amplification system heated by air was designed in this study according to the principle of air-heated nucleic acid amplification system and the characteristics of the PCR instrument Smart-cycler. The heat transfer process was analyzed and the heat transfer time was calculated. The actual temperature was measured in real time, and the temperature curves were fitted. The heating time was chosen by analysis results and data fitting and the air temperature was changed, while the sample temperature was recorded. The retard between sample and air was optimized by choosing the best curve of sample temperature. The temperature retard between sample and air was reduced sharply and the required time of integrate progress is shortened to 50%. We confirmed from the amplification experiment of Listeria monocytogenes that the improved system could complete 3 cycles within 4 minutes, and the amplification effect was good. The amplification speed and effect could be improved effectively by optimizing the delay between sample and air.
In this paper, a method for dose calculation with pencil beam kernels constructed by point kernel superposition was proposed to accelerate the dose calculation during intensity optimization iteration. With this method, the direct aperture optimization method can be integrated in the planning system based on point kernel convolution/superposition model. The dose calculation time was also reduced during the iteration. From the result of the phantom and clinical patient data test, it was concluded that this method could be used for the intensity optimization of iteration dose calculation as the satisfied precision due to the optimization result coherence obtained. By implementing the method in the planning system product based on point kernel convolution/superposition model, a lot of additional research and development works for the pencil beam dose calculation model as well as the product maintenance cost can be avoided.
Existing near-infrared non-invasive blood glucose detection modelings mostly detect multi-spectral signals with different wavelength, which is not conducive to the popularization of non-invasive glucose meter at home and does not consider the physiological glucose dynamics of individuals. In order to solve these problems, this study presented a non-invasive blood glucose detection model combining particle swarm optimization (PSO) and artificial neural network (ANN) by using the 1 550 nm near-infrared absorbance as the independent variable and the concentration of blood glucose as the dependent variable, named as PSO-2ANN. The PSO-2ANN model was based on two sub-modules of neural networks with certain structures and arguments, and was built up after optimizing the weight coefficients of the two networks by particle swarm optimization. The results of 10 volunteers were predicted by PSO-2ANN. It was indicated that the relative error of 9 volunteers was less than 20%; 98.28% of the predictions of blood glucose by PSO-2ANN were distributed in the regions A and B of Clarke error grid, which confirmed that PSO-2ANN could offer higher prediction accuracy and better robustness by comparison with ANN. Additionally, even the physiological glucose dynamics of individuals may be different due to the influence of environment, temper, mental state and so on, PSO-2ANN can correct this difference only by adjusting one argument. The PSO-2ANN model provided us a new prospect to overcome individual differences in blood glucose prediction.
A new one-time registration method was developed in this research for hand-eye calibration of a surgical robot to simplify the operation process and reduce the preparation time. And a new and practical method is introduced in this research to optimize the end-tool parameters of the surgical robot based on analysis of the error sources in this registration method. In the process with one-time registration method, firstly a marker on the end-tool of the robot was recognized by a fixed binocular camera, and then the orientation and position of the marker were calculated based on the joint parameters of the robot. Secondly the relationship between the camera coordinate system and the robot base coordinate system could be established to complete the hand-eye calibration. Because of manufacturing and assembly errors of robot end-tool, an error equation was established with the transformation matrix between the robot end coordinate system and the robot end-tool coordinate system as the variable. Numerical optimization was employed to optimize end-tool parameters of the robot. The experimental results showed that the one-time registration method could significantly improve the efficiency of the robot hand-eye calibration compared with the existing methods. The parameter optimization method could significantly improve the absolute positioning accuracy of the one-time registration method. The absolute positioning accuracy of the one-time registration method can meet the requirements of the clinical surgery.
Objective To explore the application effect of process optimization in perioperative venous access management. Methods A total of 205 general surgery patients in the Operating Room of Cheng Du Shang Jin Nan Fu Hospital, West China Hospital of Sichuan University from April to May 2018 were selected as the control group, and 205 general surgery patients from June to August 2018 were selected as the observation group. The traditional management process was used in the control group, and the process optimization management was performed in the observation group. The establishment of venous access and related complications between the two groups of patients, as well as the satisfaction of patients and staff before and after the process optimization were compared. Results There was no significant difference in gender, age, education level, operation type, anesthesia method, operation duration, or intraoperative intravenous infusion channels between the two groups of patients (P>0.05). There was no statistically significant difference in gender, age, educational background, job title, job nature, or working years of the staff participating in the satisfaction survey before and after the process optimization (P>0.05). The rate of repetitive venous puncture (15.61% vs. 58.05%) and the idelness ratio of the intraoperative indwelling needle approach (10.73% vs. 52.20%) in the observation group were lower than those of the control group, and the differences were statistically significant (P<0.05). There was no statistically significant difference in the incidence of tube blockage, detubation, or phlebitis/exudation between the two groups (P>0.05). After process optimization, patient satisfaction (22.91±3.43 vs. 17.44±4.90) and staff satisfaction (28.17±2.56 vs. 20.65±3.71) were higher than before optimization, and the differences were statistically significant (P<0.05). Conclusions The process optimization of venous access management for perioperative patients can effectively reduce the rate of venous repeated venipuncture and the idelness ratio of the intraoperative indwelling needle approach, reduce invasive operations on patients, reduce the ineffective work of nurses, avoid the waste of medical resources such as manpower and materials, and improve the satisfaction of patients and staff. It is worthy of promotion and application.
In order to calibrate the hand-eye transformation of the surgical robot and laser range finder (LRF), a calibration algorithm based on a planar template was designed. A mathematical model of the planar template had been given and the approach to address the equations had been derived. Aiming at the problems of the measurement error in a practical system, we proposed a new algorithm for selecting coplanar data. This algorithm can effectively eliminate considerable measurement error data to improve the calibration accuracy. Furthermore, three orthogonal planes were used to improve the calibration accuracy, in which a nonlinear optimization for hand-eye calibration was used. With the purpose of verifying the calibration precision, we used the LRF to measure some fixed points in different directions and a cuboid’s surfaces. Experimental results indicated that the precision of a single planar template method was (1.37±0.24) mm, and that of the three orthogonal planes method was (0.37±0.05) mm. Moreover, the mean FRE of three-dimensional (3D) points was 0.24 mm and mean TRE was 0.26 mm. The maximum angle measurement error was 0.4 degree. Experimental results show that the method presented in this paper is effective with high accuracy and can meet the requirements of surgical robot precise location.