Lung Patterns Diagnosed on HRCT in Patients with Acute Inflammatory Pulmonary Disease
DOI:
https://doi.org/10.61919/wbttzp38Keywords:
HRCT, acute inflammatory lung disease, consolidation, ground-glass opacity, pleural effusion, bilateral involvementAbstract
Background: High-resolution computed tomography (HRCT) provides detailed visualization of pulmonary parenchymal abnormalities and is the imaging modality of choice for assessing acute inflammatory lung disease. Its ability to delineate consolidation, ground-glass opacity (GGO), and other parenchymal changes enhances diagnostic accuracy and reduces the need for invasive investigations. Objective: To determine the prevalence and distribution of lung patterns on HRCT among patients with acute inflammatory pulmonary disease and to evaluate their relationship with age and gender. Methods: This cross-sectional observational study included 59 adult patients (33 females, 26 males) who underwent HRCT at Services Hospital, Lahore, between January and June 2024. Eligible participants presented with acute respiratory symptoms (<4 weeks) and radiological features of inflammation. HRCT findings were independently reviewed by two radiologists. Data were analyzed using SPSS v25 with χ² and Fisher’s exact tests to assess associations between imaging patterns and demographic factors. Results: The most frequent HRCT findings were bilateral involvement (86.4%), consolidation (55.9%), pleural effusion (47.5%), and GGO (44.1%). No statistically significant associations were found between age or sex and specific HRCT patterns (p>0.05). Conclusion: Consolidation, GGO, and pleural effusion were the dominant HRCT patterns in acute inflammatory pulmonary disease. HRCT remains a crucial non-invasive diagnostic tool for timely identification and management of acute lung inflammation.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Sadaf Abdul Qadir, Romaisa Nadeem, Bakhtawar Saeed, Abeer Shahzad, Arshia Mubeen Asif, Aqsa Atta, Rida Zainab, Sehrish Qasim (Author)

This work is licensed under a Creative Commons Attribution 4.0 International License.