Scholarlink

Background <p>Chronic obstructive airway diseases, such as chronic obstructive pulmonary disease (COPD) and asthma, are distinguished by airflow limitation due to inflammatory changes.</p> Aim of the study <p>To evaluate the usefulness of artificial intelligence (AI) and three-dimensional (3D) quantitative computed tomography (CT) in the assessment of lung volume, the wall thickness of the airway, the volume of emphysematous changes, and the verification of the relation between the structural changes of the bronchial tree and the airflow limitation in patients with obstructive airway diseases in correlation with pulmonary function tests (PFT).</p> Methods <p>A retrospective prospective observational study included fifty-two patients with suspicion of obstructive airway diseases who underwent a pulmonary function test followed by a high-resolution computed tomography (HRCT) scan.</p> Results <p>A direct relation was discovered between wall thickness (WT), wall area (WA), and luminal area (LA) of the 3rd-generation bronchus of the right lower lung lobe and forced vital capacity (FVC), while no strong relation was found in the 4th and 5th generations. Meanwhile, in the left upper lobe, negative relations were noted between the LA of 4th- and 5th-generation bronchi and forced expiratory volume exhaled in the first second (FEV1) over forced vital capacity (FEV1/FVC). After classifying the patients according to the global initiative for chronic obstructive lung disease (GOLD), positive associations were discovered between wall thickness percentage (WT%), wall area percentage (WA%), and forced vital capacity percentage (FVC%) in patients with GOLD II grade, while GOLD III patients showed correlations between WT, WA, and FVC, FEV1. In patients with GOLD IV, WT% and WA% of the right lower 3rd bronchus were positively related with forced expiratory volume exhaled in the first second over forced vital capacity percentage (FEV1/FVC%), highlighting unique relations at each COPD severity level.</p> Conclusions <p>High-resolution computed tomography aided by AI in bronchial analysis enhances the bronchial measurements' objectivity with resultant quantitative values that can be used in the follow-up of COPD patients allowing for more accurate management of the patients.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Role of AI and 3D quantitative computed tomography in obstructive airway diseases in correlation with pulmonary function tests

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年6月10日

查看全文
  • Amira Abdalla saad,
  • Ahmed M. Osman,
  • Hossam M. Abdelhamid,
  • Mai Mohammad Sedik

摘要

Background

Chronic obstructive airway diseases, such as chronic obstructive pulmonary disease (COPD) and asthma, are distinguished by airflow limitation due to inflammatory changes.

Aim of the study

To evaluate the usefulness of artificial intelligence (AI) and three-dimensional (3D) quantitative computed tomography (CT) in the assessment of lung volume, the wall thickness of the airway, the volume of emphysematous changes, and the verification of the relation between the structural changes of the bronchial tree and the airflow limitation in patients with obstructive airway diseases in correlation with pulmonary function tests (PFT).

Methods

A retrospective prospective observational study included fifty-two patients with suspicion of obstructive airway diseases who underwent a pulmonary function test followed by a high-resolution computed tomography (HRCT) scan.

Results

A direct relation was discovered between wall thickness (WT), wall area (WA), and luminal area (LA) of the 3rd-generation bronchus of the right lower lung lobe and forced vital capacity (FVC), while no strong relation was found in the 4th and 5th generations. Meanwhile, in the left upper lobe, negative relations were noted between the LA of 4th- and 5th-generation bronchi and forced expiratory volume exhaled in the first second (FEV1) over forced vital capacity (FEV1/FVC). After classifying the patients according to the global initiative for chronic obstructive lung disease (GOLD), positive associations were discovered between wall thickness percentage (WT%), wall area percentage (WA%), and forced vital capacity percentage (FVC%) in patients with GOLD II grade, while GOLD III patients showed correlations between WT, WA, and FVC, FEV1. In patients with GOLD IV, WT% and WA% of the right lower 3rd bronchus were positively related with forced expiratory volume exhaled in the first second over forced vital capacity percentage (FEV1/FVC%), highlighting unique relations at each COPD severity level.

Conclusions

High-resolution computed tomography aided by AI in bronchial analysis enhances the bronchial measurements' objectivity with resultant quantitative values that can be used in the follow-up of COPD patients allowing for more accurate management of the patients.