High-Resolution Computed Tomography in the Detection of Lung Abnormalities

Lung disease is a major global issue. High-resolution computed tomography is the best modality for detecting lung abnormalities. Objective: To evaluate lung abnormalities on high-resolution computed tomography (HRCT) and assess the progression of fibrosis. Methods: It was a retrospective analysis of HRCT Findings in Lung Abnormalities at a tertiary Care Centre in Sargodha. A sample size of 50 was collected, reviewed retrospectively. The convenient sampling technique was used. This research included patients who visited the CT department for the diagnosis of lung disease. The study included emphysema, bronchiectasis, chronic obstructive disease, interstitial lung disease, and fibrosis, and the study excluded pneumonia, sarcoidosis, bronchitis, pulmonary hypertension respiratory tract infections. Results: A statistical analysis using SPSS version 23.0 was conducted to examine the relationships between these variables and the occurrence of lung abnormalities. The majority were 50 patients, of whom 54% were males and 46% were females. In the current study, interstitial fluid was 14%, Bronchiectasis and pneumonia were 22%, and fibrosis and pulmonary nodules were 14%. A significant relationship was noted between bronchiectasis and the patient according to age. Conclusions: The study concluded that the lung cancer that affects the lungs and alters the tissues and airways of the respiratory system is bronchiectasis. High-resolution computed tomography provides an accurate diagnosis of lung diseases.