Evaluation of interstitial lung disease: An algorithmic review using ILD-RADS Review
| Authors: | Pagano, A. M.; Vu, T.; Berkowitz, E. A.; Little, B. P.; Chung, M.; Bernheim, A. |
| Review Title: | Evaluation of interstitial lung disease: An algorithmic review using ILD-RADS |
| Abstract: | Interstitial lung diseases (ILDs) may present a diagnostic dilemma due to their many classifications and overlapping imaging findings. In this review, we present an algorithmic approach for assessing ILDs based on identifying and understanding key imaging features to aid in narrowing a differential diagnosis or reaching a specific diagnosis. We use the recently introduced Interstitial Lung Disease Reporting And Data System (ILD-RADS) as a framework for our discussion. © 2022 Elsevier Inc. |
| Keywords: | differential diagnosis; algorithm; computerized tomography; diagnosis; interstitial lung disease; lung fibrosis; biological organs; computed tomography; pulmonary diseases; imaging features; ild-rads; algorithmic approach; algorithmics; interstitial lung disease-rads; reporting systems; specific diagnosis |
| Journal Title: | Clinical Imaging |
| Volume: | 88 |
| ISSN: | 0899-7071 |
| Publisher: | Elsevier Inc. |
| Date Published: | 2022-08-01 |
| Start Page: | 45 |
| End Page: | 52 |
| Language: | English |
| DOI: | 10.1016/j.clinimag.2022.04.019 |
| PROVIDER: | scopus |
| PUBMED: | 35623119 |
| DOI/URL: | |
| Notes: | Review -- Export Date: 1 June 2022 -- Source: Scopus |
