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Updated: Sep 10, 2025

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Imaging Features of Systemic Sclerosis-Associated Interstitial Lung Disease
Published on: June 16, 2020
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[Connective tissue disease-associated interstitial lung diseases : A pattern-based approach to diagnosis]
Rebecca Mura1, Daria Kifjak1, Kastriot Kastrati2
1Univ. Klinik für Radiologie und Nuklearmedizin, Medizinische Universität Wien, Währinger Gürtel 18-20, 1090, Wien, Österreich.
Radiologie (Heidelberg, Germany)
|August 22, 2025
Summary
Connective tissue diseases (CTD) commonly affect the lungs, causing interstitial lung disease (ILD). High-resolution computed tomography (HRCT) helps identify ILD patterns for early diagnosis and management.
Area of Science:
- Rheumatology and Pulmonology
- Radiology
- Immunology
Context:
- Connective tissue diseases (CTD) are systemic autoimmune disorders with frequent pulmonary manifestations.
- Interstitial lung disease (ILD) is a significant cause of morbidity and mortality in CTD patients.
- Early detection and multidisciplinary management are crucial for CTD-ILD.
Purpose:
- To provide a comprehensive overview of pulmonary manifestations in CTD, focusing on ILD.
- To highlight the role of high-resolution computed tomography (HRCT) in recognizing ILD patterns.
- To enhance radiologists' familiarity with the spectrum of HRCT imaging findings in CTD-ILD.
Summary:
- CTD-ILD presents with diverse HRCT patterns, including nonspecific interstitial pneumonia (NSIP), usual interstitial pneumonia (UIP), organizing pneumonia (OP), lymphocytic interstitial pneumonia (LIP), and diffuse alveolar damage (DAD).
- Each pattern can be associated with specific CTDs, but overlap and transitions between patterns are common.
- HRCT is essential for diagnosing ILD, monitoring disease progression, and guiding management strategies in CTD.
Impact:
- Improved diagnostic accuracy for CTD-ILD through pattern recognition on HRCT.
- Enhanced understanding of the heterogeneous pulmonary manifestations of CTD.
- Facilitation of timely and appropriate patient management, potentially improving outcomes.
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