Medical CT image diagnosis and simulation of drug sedation during ultrasound-guided transbronchial needle aspiration process

Abstract

CT image diagnosis is widely used in clinical practice, but the effect of drug sedation during bronchial aspiration has not been fully simulated and studied. The aim of this study was to simulate the effect of drug sedation in the process of transbronchial needle aspiration guided by medical CT images in order to explore its potential effect in clinical application. A diagnostic model based on medical CT images was established to simulate the sedation of drugs during bronchial needle aspiration. A series of parameters of sedation, including dose, route of administration and drug selection, were used to better simulate the actual situation. The simulation experiment observed that the effect of drug sedation in the process of bronchial needle aspiration under the guidance of medical CT image diagnosis can effectively relieve the pain and discomfort of patients, and improve the success rate of the operation process, and drug sedation can also reduce the occurrence of postoperative infection and complications. Therefore, under the guidance of medical CT image diagnosis, the simulation of drug sedation during the process of transbronchial needle aspiration can help doctors better perform relevant operations and improve the safety and success rate of surgery.