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"Crazy-paving" pattern at thin-section CT of the lungs: radiologic-pathologic overview
Santiago E Rossi1, Jeremy J Erasmus, Mariano Volpacchio
1Department of Radiology, Centro de Diagnostico Dr Enrique Rossi, Arenales 2777, Buenos Aires 1425, Argentina. santirossi@cdrossi.com
Summary
The crazy-paving pattern on lung CT scans has many causes, including infections and cancers. Recognizing this pattern and associated findings aids in accurate diagnosis and prevents errors.
Area of Science:
- Radiology
- Pulmonary Medicine
- Pathology
Background:
- The crazy-paving pattern is a frequent observation in thin-section computed tomography (CT) of the lungs.
- This pattern is characterized by ground-glass attenuation with superimposed interlobular septal and intralobular linear thickening.
Purpose of the Study:
- To review the diverse etiologies of the crazy-paving pattern observed in lung CT.
- To highlight the diagnostic utility of this pattern and associated radiological findings.
Main Methods:
- Literature review of studies describing the crazy-paving pattern on CT.
- Analysis of the differential diagnoses associated with this imaging finding.
- Correlation of radiological features with clinical presentation and patient history.
Main Results:
- The crazy-paving pattern is associated with a wide spectrum of conditions, including infectious (e.g., Pneumocystis carinii pneumonia), neoplastic (e.g., bronchioloalveolar carcinoma), and inflammatory disorders (e.g., sarcoidosis, interstitial pneumonia).
- Specific causes include pulmonary alveolar proteinosis, organizing pneumonia, lipoid pneumonia, adult respiratory distress syndrome, and pulmonary hemorrhage syndromes.
- While often indistinguishable solely on imaging, location, additional findings, and clinical context can suggest specific diagnoses.
Conclusions:
- The crazy-paving pattern on lung CT is a nonspecific finding with numerous potential causes.
- Understanding the differential diagnosis is crucial for accurate interpretation and avoiding diagnostic errors.
- Integrating CT findings with clinical information is essential for optimal patient management.