Abstract
The study focused on the therapeutic effects of high-flow oxygen therapy on patients with critical lung injury using edge detection-based ultrasound images. Firstly, the traditional Canny edge detection algorithm was improved, and the optimal threshold was obtained by optimizing the median filter and combining Otsu algorithm and threshold iteration method. Then, the optimized algorithm was compared with the traditional Canny edge detection algorithm and applied to process the lung ultrasound images of 120 cases of critical lung injury, to compare the efficacy of high-flow oxygen therapy and the traditional oxygen therapy. It was found that the peak signal-to-noise ratio (PSNR) (20.34~31.3), edge intensity value (17.89~27.34), and edge detection effect of the improved Canny algorithm were better than the traditional Canny algorithm (15.2~28.61, 9.44~18.56). The failure rate of extubation (4.1%), reintubation rate (0.8%), comfort (2.38 ± 0.15 points), dry humidity score (1.07 ± 0.21 points), antibiotic use (7.41 ± 0.74 days), and hospital stay (8.66 ± 1.02 days) in the experimental group were significantly lower than the corresponding indexes in the control group (11.7%, 5%, 4.25 ± 0.26 minutes, 4.94 ± 0.78 minutes, 19.29 ± 1.7 days, and 27.49 ± 2.22 days), and the difference was statistically significant (P < 0.05). In the experimental group, within 48 hours after extubation, the respiratory rate (RR), heart rate (HR), arterial partial pressure of carbon dioxide (PaCO2), and HCO3− were significantly lower than those of the control group; and the values of transcutaneous oxygen saturation (SpO2), mean arterial pressure (MAP), arterial partial pressure of oxygen (PaO2), and pH were significantly higher than the control group, and the difference was statistically significant (P < 0.05). In conclusion, the algorithm in this study is superior to the traditional Canny algorithm, and the high-flow oxygen therapy can reduce the failure rate of extubation, strengthen patient comfort, improve the degree of gas humidification, stabilize the respiratory function and circulatory system, and shorten the time of antibiotic use and hospital stay.
Highlights
The rapid assessment, early diagnosis, and timely intervention of critically ill patients are important and challenging, because it requires doctors to be experienced and skilled [1, 2]
The optimized algorithm was compared with the traditional Canny edge detection algorithm and applied to process the lung ultrasound images of 120 cases of critical lung injury, to compare the efficacy of high-flow oxygen therapy and the traditional oxygen therapy, which isexpected to provide a theoretical reference for future clinical work
The inclusion criteria were as follows: (I) patients whose condition was under control and whose vital indicators showed that the ventilator can be removed; (II) patients in the intensive care unit (ICU) who had received mechanical ventilation by tracheal intubation for more than 48 hours; (III) patients who did not have surgery scheduled for the 48 hours; (IV) patients who passed the spontaneous breathing test (SBT); (V) patients who no longer needed to take vasoactive drugs; and (VI) patients with lung ultrasound score ðLUSÞ ≥ 15
Summary
The rapid assessment, early diagnosis, and timely intervention of critically ill patients are important and challenging, because it requires doctors to be experienced and skilled [1, 2]. When the condition of the critically ill patient is controlled, the spontaneous breathing test (SBT) is performed. There is a high-risk period of acute respiratory distress syndrome (ARDS) after SBT and extubation [3]. With the development of imaging technology, ultrasound imaging technology has been widely used in the diagnosis of critically ill patients, and lung ultrasound plays an important role in the diagnosis and treatment of critical lung injury [4]. Lung ultrasound can effectively determine the degree of pulmonary edema to assess the degree of lung injury, and the ultrasound score is a semiquantitative
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