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Evaluation of interstitial lung disease: An algorithmic review using ILD-RADS

      Highlights

      • Integrating the key imaging features of interstitial lung disease is a diagnostic challenge requiring an organized approach.
      • Seven major categories of CT findings raise suspicion for an alternate diagnosis to usual interstitial pneumonia.
      • Fibrosis in a subpleural and basal distribution and with honeycombing increases confidence for usual interstitial pneumonia.

      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.

      Keywords

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