Bronchiectasis Revisited: Imaging-Based Pattern Approach to Diagnosis

Background

Bronchiectasis is one of the causes of non-resolving, persistent or recurrent pulmonary infection which, if uncorrected may have deleterious consequences on the lung parenchyma and pulmonary circulation. High-resolution computed tomography (HRCT) is needed for the confirmation, localization and directing management accordingly.

Contents

Bronchiectasis is one of the major cause of morbidity worldwide. Chest radiograph is done at the initial suspicion which is supplemented by HRCT to confirm the diagnosis. Imaging diagnosis supplemented by the recognition of the pattern of involvement is essential to outline the differential diagnosis, map the complications and, hence, guiding the further management. Identification of the causative aetiology may not only prevent its further progression but obviate recurrent insults to the lung parenchyma as well. This article focuses on an algorithmic approach to bronchiectasis based on the distribution on imaging