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Updated: Jun 28, 2026
04:44
Imaging Features of Systemic Sclerosis-Associated Interstitial Lung Disease
Published on: June 16, 2020
High-resolution computed tomography patterns of diffuse interstitial lung disease with clinical and pathological
Brett Elicker1, Carlos Alberto de Castro Pereira, Richard Webb
1University of California at San Francisco, San Francisco, CA, USA.
Summary
High-resolution computed tomography (HRCT) reveals lung structure changes through distinct patterns. These HRCT patterns aid in diagnosing diffuse interstitial lung diseases accurately when combined with distribution and clinical data.
Area of Science:
- Radiology
- Pulmonology
- Pathology
Background:
- High-resolution computed tomography (HRCT) is crucial for visualizing lung structure.
- Diffuse interstitial lung diseases (ILDs) present complex diagnostic challenges.
- Recognizing HRCT patterns is key to accurate ILD diagnosis.
Purpose of the Study:
- To correlate HRCT patterns with pathologic findings in diffuse ILDs.
- To review common HRCT patterns and their associated causes.
- To detail diagnostic investigations for chronic diffuse lung diseases.
Main Methods:
- Review of HRCT imaging findings in diffuse ILDs.
- Correlation of imaging patterns with histopathologic data.
- Analysis of anatomical distribution and clinical information.
Main Results:
- Common HRCT patterns include nodular, linear/reticular, cystic, ground-glass opacities, and consolidations.
- Specific HRCT patterns are indicative of particular ILDs.
- Integration of patterns, distribution, and clinical data improves diagnostic accuracy.
Conclusions:
- HRCT patterns are highly valuable for diagnosing diffuse interstitial lung diseases.
- Understanding these patterns aids in differential diagnosis and accurate identification of ILDs.
- This review provides a framework for HRCT-based ILD diagnosis.
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