Abstract
This study aimed to provide a quantitative evaluation of the lung gas content in orthopedic surgery patients under different anesthesia using ultrasound images based on the artificial bee colony algorithm. The ultrasound image features based on an artificial bee colony algorithm were applied to analyze segmentation images to investigate the influence of different anesthesia methods on the lung air content of patients undergoing orthopedic surgery and the clinical features of such patients. They were also adopted for the anesthesia in orthopedic surgery to assist clinicians in the diagnosis of diseases. 160 orthopedic surgery patients who were hospitalized were treated with different anesthesia methods. The first group (traditional general anesthesia group) received general anesthesia and traditional ultrasound; the second group (ABC general anesthesia group) was used for ultrasound image analysis based on the artificial bee colony algorithm; the third group (traditional sclerosis group) was anesthetized with combined sclerosis block; ultrasound images of patients from the fourth group (ABC sclerosis group) were analyzed based on the artificial bee colony algorithm. Analysis was conducted at three time points. The LUS score of the traditional sclerosis group and ABC sclerosis group was hugely higher than the score of the traditional general anesthesia group and ABC general anesthesia group at T2 time, with statistical significance ( P < 0.005 ). At time point T3, the score of the traditional sclerosis group rose greatly compared with the general anesthesia group, and that of the ABC group was generally higher than that of the traditional ultrasound group ( P < 0.005 ). When the threshold value was 4, the fitness value of ABC algorithm was 2680.4461, and the fitness value of the control group was 1736.815. The difference between the two groups was 943.6311 ( P < 0.05 ). The operation time of ABC algorithm was 1.83, while that of the control group was 1.05, and the difference between the two groups was 0.78 ( P < 0.05 ). In conclusion, the feature analysis of ultrasonic images based on the artificial bee colony algorithm could effectively improve the accuracy of ultrasonic images and the accuracy of focus recognition. It can promote medical efficiency and accurately identify the lung air content of patients in future clinical case measurement and auxiliary treatment of fracture, which has great application potential in improving surgical anesthesia effect.
Highlights
Nowadays, with the development of economy, science, and technology, the social population is gradually increasing, and the cases of fracture surgery in the elderly have become more and more common [1]
For patients suffering from hard lumbar joint anesthesia, the lumbar anesthesia works faster, the effect is more accurate, the amount of anesthesia required is small, the anesthesia level is easy to control, and it is beneficial to postoperative pain relief for patients with general anesthesia
Studies have shown that even before anesthesia in patients with lung disease, lung function, and normal patients, there is a certain degree of damage to ventilation function and respiratory mechanics after surgery, and the incidence of atelectasis is about 90% [3]. is phenomenon is caused by the use of common anesthetics and the effect of breathing during general anesthesia. e movement of patients’ respiratory muscles can be affected to reduce lung ventilation
Summary
With the development of economy, science, and technology, the social population is gradually increasing, and the cases of fracture surgery in the elderly have become more and more common [1]. Studies have shown that even before anesthesia in patients with lung disease, lung function, and normal patients, there is a certain degree of damage to ventilation function and respiratory mechanics after surgery, and the incidence of atelectasis is about 90% [3]. Is phenomenon is caused by the use of common anesthetics and the effect of breathing during general anesthesia. Due to the great influence of breathing and ventilation in patients under anesthesia, muscle tension disappears, increasing respiratory resistance and shear injury under alveolar collapse, which leads to poor lung function in patients, and some patients develop airless lungs, pulmonary branch tubes, and gas exchange disorders [5]
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
