scholarly journals Deep Learning Algorithms-Based CT Images in Glucocorticoid Therapy in Asthma Children with Small Airway Obstruction

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Yu Qin ◽  
Jing Wang ◽  
Yanjun Han ◽  
Ling Lu

CT image information data under deep learning algorithms was adopted to evaluate small airway function and analyze the clinical efficacy of different glucocorticoid administration ways in asthmatic children with small airway obstruction. The Res-NET in the deep learning algorithm was used to perform feature extraction, summary classification, and other reconstruction of CT images. A deep learning network model Mask-R-CNN was constructed to enhance the ability of image reconstruction. A total of 118 children hospitalized with acute exacerbation of asthma in the hospital were recruited. After acute exacerbation treatment, 96 children with asthma were screened out for small airway obstruction, which were divided into glucocorticoid aerosol inhalation group (group A, 32 cases), glucocorticoid combined with bronchodilator aerosol inhalation group (group B, 32 cases), and oral hormone therapy group (group C, 32 cases). Asthmatic children with small airway obstruction were screened after acute exacerbation treatment and were rolled into glucocorticoid aerosol inhalation group (group A), glucocorticoid combined with bronchodilators aerosol inhalation group (group B), and oral hormone therapy group (group C). Lung function indicators (maximal mid-expiratory flow (MMEF75 and 25), 50% forced expiratory flow (FEF50), and 75% forced expiratory flow (FEF75)), FeNO level, and airway inflammation indicators (IL-6, IL-35, and eosinophilic (EOS)) were compared before and one month after treatment. The ratio of airway wall thickness to outer diameter (T/D) and the percentage of airway wall area to total airway area (WA%) were measured by e-Health high-resolution CT (HRCT). The constructed network model was used to measure the patient's coronary artery plaque and blood vessel volume, and the image was reconstructed on the Res-Net network. It was found that the MSE value of the Res-Net network was the lowest, and the efficiency was very high during the training process. T/D and WA (%) of asthmatic children with small airway obstruction after treatment were significantly lower than those before treatment ( P < 0.01 ). After treatment, MMEF75/25 and FEF75 were significantly higher than those before treatment ( P < 0.05 ). Lung function-related indicator FEF50 was significantly higher than that before treatment ( P < 0.01 ). FeNO level after treatment was remarkably lower than that before treatment ( P < 0.01 ). In addition, lung function-related indicators, airway inflammation indicators, and FeNO level improved the most in group C, followed by group B, and those improvements in group A were the least obvious, with great differences among groups ( P < 0.05 ). In summary, the Res-Net model proposed was of certain feasibility and effectiveness for CT image segmentation and can effectively improve the clinical evaluation of patient CT image information. Glucocorticoids could improve small airway function and airway inflammation in asthmatic children with small airway obstruction, and oral corticosteroids were more effective than aerosol inhalation therapy.

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Wei Zhang ◽  
Yang Wang

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.


PEDIATRICS ◽  
1975 ◽  
Vol 56 (5s) ◽  
pp. 868-879
Author(s):  
Gerd J. A. Cropp ◽  
I. J. Schmultzler

We evaluated clinical status and pulmonary function in 60 perennially asthmatic and 11 normal children before and repeatedly after incrementally increasing bicycle ergometer exercise. The changes in clinical status and pulmonary function which were elicited by strenuous exercise were graded by an air exchange and a physiological grading system respectively. Normal children showed no significant clinical or physiological changes after exercise. Strenuous exercise elicited significant deteriorations in clinical and physiological measurements in 36% to 77% of asthmatic girls and 46% to 90% of asthmatic boys, the frequency depending on the test used to determine exercise-induced abnormalities. The incidence of exercise-induced asthma (EIA) was statistically significantly higher in asthmatic boys than girls. The higher incidence of EIA in boys was primarily due to a larger number of very severe attacks in boys than girls; mild and moderate EIA was about equally common in the two sexes. Most patients with EIA developed large and small airway obstruction, although large airway obstruction tended to be the predominant and the more severe abnormality. Clinical and physiological abnormalities, regardless of severity, were usually most marked during the first ten minutes after exercise and lessened thereafter. Mild EIA usually lasted for only 15 minutes or less; severe EIA improved, but usually did not resolve within 35 minutes of exercise. There were three patients in whom the severity of EIA got worse after exercise and an additional seven in whom the improvement was minimal. In these ten patients isoproterenol aerosol terminated EIA, indicating that exercise-induced large and small airway obstruction in asthmatic children is primarily. if not solely. due to bronchospasm.


2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1595.1-1595
Author(s):  
F. M. Ortiz Sanjuan ◽  
C. Pávez Perales ◽  
E. Vicens Bernabeu ◽  
C. Alcañiz Escandell ◽  
I. Cánovas Olmos ◽  
...  

Background:Interstitial lung disease (ILD) is a frequent complication of systemic sclerosis (SSc) and is often progressive and has a poor prognosis. A restrictive ventilatory defect could suggest ILD either alone or in combination with pulmonary arterial hypertension.Nowadays, Early-SSc is well defined as preliminary stage of SSc. Patients who meet criteria for Early-SSc could benefit from an early diagnosis of pulmonary involvement.Objectives:Our aim was to assess the pulmonary function in patients diagnosed of Early SSc.Methods:Retrospective observational study of a wide and unselected series of patients diagnosed as Early-SSc from a single university hospital from 2012 to 2019. Patients were classified as Early-SSc following Le Roy criteria. Despite this, patients already did not meet 2013 ACR/EULAR classification criteria for SSc. We reviewed pulmonary function through conventional spirometry and diffusing capacity of lung for carbon monoxide (DLCO).Results:We included 56 patients with a mean age of 52.3±12.1 years (96.4% women; 3.6% men).At the diagnosis of Early-SSc, no one of our patients evidenced a restrictive ventilatory pattern. DLCO was below normal limits in 18 patients (32.1%). Small airway obstruction expressed according decreased maximal (mid-) expiratory flow (MMEF) 25-75 was present in 24 patients (42.8%).After a mean follow-up period of 38.3±2.4 months, 29 (51.8%) patients fulfilled 2013 ACR/EULAR criteria. The average time between diagnosis of Early-SSc and achieve SSc classification was 24.4±1.8 months. The remaining 27 patients continued classified as Early-SSc.An analysis of the subgroup of patients which progressed to SSc showed that DLCO was decreased in 15 of those 29 patients (51.7%) and 18 of 29 patients (62.1%) presented decreased MMEF 25-75. Comparing with the subgroup of patients which not progressed to SSc were significant differences (Decreased DLCO: 51.7% vs 11.1%; p=0.02 and decreased MMEF 25-75: 42.8% vs 22.2%; p=0.05).The analysis of pulmonary function of the subgroup of patients continued classified as Early-SSc after follow-up period did not show significative changes after follow-up.Conclusion:In our study, a third of the patients classified as Early-SSc presented at diagnosis abnormal values of DLCO and/or signs of small airway obstruction without the presence of a restrictive ventilatory pattern. Moreover, this pulmonary disfunction was significantly more frequent in patients who progressed to definitive SSc. Patients which remains classified as Early-SSc did not experience significative changes.Our results support the concept that pulmonary function was impaired in Early-SSc and that I should probably be considered for future Early-SSc classification criteria.Disclosure of Interests:None declared


1985 ◽  
Vol 59 (6) ◽  
pp. 1947-1954 ◽  
Author(s):  
M. Lopata ◽  
E. Onal ◽  
G. Cromydas

To assess respiratory neuromuscular function and load compensating ability in patients with chronic airway obstruction (CAO), we studied eight stable patients with irreversible airway obstruction during hyperoxic CO2 rebreathing with and without a 17 cmH2O X l-1 X s flow-resistive inspiratory load (IRL). Minute ventilation (VE), transdiaphragmatic pressure (Pdi), and diaphragmatic electromyogram (EMGdi) were monitored. Pdi and EMGdi were obtained via a single gastroesophageal catheter with EMGdi being quantitated as the average rate of rise of inspiratory (moving average) activity. Based on the effects of IRL on the Pdi response to CO2 [delta Pdi/delta arterial CO2 tension (PaCO2)] and the change in Pdi for a given change in EMGdi (delta Pdi/delta EMGdi) during rebreathing, two groups could be clearly identified. Four patients (group A) were able to increase delta Pdi/delta PaCO2 and delta Pdi/delta EMGdi, whereas in the other four (group B) the IRL responses decreased. All group B patients were hyperinflated having significantly greater functional residual capacity (FRC) and residual volume than group A. In addition the IRL induced percent change in delta Pdi/delta PaCO2, and delta VE/delta PaCO2 was negatively correlated with lung volume so that in the hyperinflated group B the higher the FRC the greater was the decrease in Pdi response due to IRL. In both groups the greater the FRC the greater was the decrease in the ventilatory response to loading. Patients with CAO, even with severe airways obstruction, can effect load compensation by increasing diaphragmatic force output, but the presence of increased lung volume with the associated shortened diaphragm prevents such load compensation.


Author(s):  
Ahmed Jalwa ◽  
Rahul Magazine ◽  
ROHIT SINGH ◽  
Shama Shetty

Introduction Allergic rhinitis, beginning from childhood, is a global health problem. According to the literature, allergic rhinitis has been found to be associated with asthma and other allergic manifestations. In this study we like to find out the significance and prognostic importance of pulmonary function test (PFT) in allergic rhinitis. Design and setting: The study was carried out over a period of 2 years, with 63 cases and controls each. Subjects in the age of 20-55 years with allergic rhinitis and SFAR score of >/=7 were included as a case. Participants were interviewed and sent for PFT. Controls were recruited from the retrospective data of healthy individuals with pulmonary function parameters done for health checkup. These controls had an SFAR score of <7. Main outcome measures: Clinical data and PFT of cases and controls was used for the study. SFAR score was used to recruit the cases and controls. All the data obtained were analyzed and compared between cases and controls. Results The mean age of the cases and controls were 33.17 +/- 10.817 and 44.41 +/- 7.4, respectively. Majority of cases and controls were males (60.3% and 57.1%). A statistically significant difference in FEF25-75% among cases and controls was noted (p=0.00), thus proving probability of developing small airway obstruction in subjects with allergic rhinitis. Conclusion Subjects with allergic rhinitis have a probability of developing small airway obstruction with subclinical changes, hence necessitating the need of regular follow-up.


Author(s):  
Qiao Ye ◽  
Xiaoli Yang ◽  
Yongji Yan ◽  
Changjiang Xue ◽  
Xuqin Du

Sign in / Sign up

Export Citation Format

Share Document