Evaluation of Glucocorticoid Therapy in Asthma Children with Small Airway Obstruction Based on CT Features of Deep Learning

Abstract

This study was aimed at exploring the treatment of asthma children with small airway obstruction in CT imaging features of deep learning and glucocorticoid. A total of 145 patients meeting the requirements in hospital were included in this study, and they were randomly assigned to receive aerosolized glucocorticoid ( n = 45 ), aerosolized glucocorticoid combined with bronchodilator ( n = 50 ), or oral steroids ( n = 50 ) for 4 weeks after discharge. The lung function and fractional exhaled nitric oxide (FENO) indexes of the three groups were measured, respectively, and then the effective rates were compared to evaluate the clinical efficacy of glucocorticoids with different administration methods and combined medications in the short-term maintenance treatment after acute exacerbation of asthma. Deep learning algorithm was used for CT image segmentation. The CT image is sent to the workbench for processing on the workbench, and then the convolution operation is performed on each input pixel point during the image processing. After 4 weeks of maintenance treatment, FEF50 %, FEF75 %, and MMEF75/25 increased significantly, and FENO decreased significantly ( P < 0.01 ). The improvement results of FEF50 %, FEF75 %, MMEF75/25, and FENO after maintenance treatment were as follows: the oral hormone group was the most effective, followed by the combined atomization inhalation group, and the hormone atomization inhalation group was the least effective. The differences among them were statistically significant ( P < 0.05 ). The accuracy of artificial intelligence segmentation algorithm was 81%. All the hormones were more effective than local medication in the treatment of small airway function and airway inflammation. In the treatment of aerosol inhalation, the hormone combined with bronchiectasis drug was the most effective in improving small airway obstruction and reducing airway inflammation compared with single drug inhalation. Deep learning CT images are simple, noninvasive, and intuitively observe lung changes in asthma with small airway functional obstruction. Asthma with small airway functional obstruction has high clinical diagnosis and evaluation value.

Study on Predicting Clinical Stage of Patients with Bronchial Asthma Based on CT Radiomics

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Clinical efficacy of budesonide combined with acetylcysteine in the treatment of mycoplasma pneumonia infection

“…Aerosol inhalation of therapeutic drugs can directly act on bronchial mucosa, promote continuous local precipitation of drugs, prolong antiinflammatory time, and avoid liver first-pass effect, which can help to improve airway inflammation quickly. 37 Budesonide is a glucocorticoid drug, which can rapidly play the anti-immune function and antiinflammatory effect. 38 It has been widespreadly applied in the clinical treatment of pediatric pneumonia.…”

“…In this study, the clinical treatment of budesonide combined with N‐acetylcysteine by aerosol inhalation was effective. Aerosol inhalation of therapeutic drugs can directly act on bronchial mucosa, promote continuous local precipitation of drugs, prolong anti‐inflammatory time, and avoid liver first‐pass effect, which can help to improve airway inflammation quickly 37 . Budesonide is a glucocorticoid drug, which can rapidly play the anti‐immune function and anti‐inflammatory effect 38 .…”

Retracted: Evaluation of Glucocorticoid Therapy in Asthma Children with Small Airway Obstruction Based on CT Features of Deep Learning

“…This article has been retracted by Hindawi, as publisher, following an investigation undertaken by the publisher [ 1 ]. This investigation has uncovered evidence of systematic manipulation of the publication and peer-review process.…”