Interpretation of High Resolution CT of the Lung
Journal Title: IOSR Journal of Dental and Medical Sciences (IOSR-JDMS) - Year 2019, Vol 18, Issue 4
Abstract
Background and Objectives: High-resolution computed tomography (HRCT) imaging of the lungs with high quality spatial resolution may reveal the normal and abnormal lung interstitium and morphological features of parenchymal disorders. Highresolution computed tomography (HRCT) has an added advantage to diagnose critically affected individuals with chronic diffuse infiltrative lung disease in patients with normal chest radiographs. Hence, this provides a precise assessment of the pattern and peculiar distribution of lung disease, it furnishes a concrete assessment and improves the accuracy of differential diagnosis. To demonstrate usefulness of Toshiba lightning aquilion 16 slice multi detector computerized tomography (MDCT) scan in distinguishing areas of potentially reversible disease from irreversible fibrosis and to assess the severity of the disease. Material and Methods: The study had been carried out in the Department of Radiodiagnosis, PGIMS , Rohtak for a period of 3 months from December 2018 to February 2019. In this method potential possibility has been explored confirming through cumulative observational study in which we evaluated 50 patients suspected of having interstitial lung diseases based on radiographic or clinical findings . After taking a brief note of properly informed written consent and complete history, thorough clinical examination was done and these patients were subjected to CT scan. Results Bronchiectasis ,septal lines, ground glass opacity,paraseptal emphysema and Mediastinal lymph node enlargement were found to be more prevalent findings as compared to other findings on HRCT of lung. Idiopathic pulmonary fibrosis exceeded other kinds of disorders during HRCT examination. However , Drug induced ILD and lymphangioleiomyomatosis were encountered in a small scale . Conclusion HRCT can facilitate in formulating a differential diagnosis and to establish the pattern and distribution of disease especially when biopsy is essentially required.
Authors and Affiliations
Dr Parveen Chandna, Dr Rohtas K Yadav
Keywords
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- EP ID EP572563
- DOI 10.9790/0853-1804066075.
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