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Serial high resolution CT in non-specific interstitial pneumonia: prognostic value of the initial pattern
N J Screaton1, M P Hiorns, K S Lee
1Department of Radiology, Addenbrooke's Hospital, Cambridge, UK. nicholas.screaton@papworth.nhs.uk
Clinical Radiology
|January 12, 2005
Summary
Initial CT patterns in non-specific interstitial pneumonia (NSIP) correlate with disease progression, but not with histopathology. An inflammatory pattern on CT indicates a better outcome for NSIP patients.
Area of Science:
- Pulmonary Medicine
- Radiology
- Pathology
Background:
- Non-specific interstitial pneumonia (NSIP) is a form of idiopathic interstitial pneumonia.
- Understanding the relationship between imaging findings and disease progression is crucial for patient management.
Purpose of the Study:
- To evaluate the association between initial computed tomography (CT) patterns and subsequent changes in CT findings and pulmonary function tests (PFTs) in NSIP patients.
- To determine if histopathological subtypes of NSIP correlate with CT findings or disease progression.
Main Methods:
- Retrospective analysis of serial high-resolution CT (HRCT) scans and PFTs in 38 patients with histologically confirmed NSIP.
- Assessment of CT findings, including predominant pattern and extent of disease.
- Calculation of a fibrosis index based on reticular/honeycomb patterns.
Main Results:
- The predominant CT pattern was reticular/honeycomb (84%) or ground-glass/consolidation (16%).
- Mean disease extent decreased by 5.2% between scans; 34% showed >10% reduction, while 16% had >10% increase.
- Histopathological subtype did not correlate with CT patterns, fibrosis index, or serial changes in CT/PFTs.
- Response on follow-up CT correlated with fibrosis index, predominant pattern, and initial consolidation extent.
Conclusions:
- CT pattern, fibrosis index, and consolidation extent predict NSIP progression on CT, independent of histopathological subtype.
- An inflammatory (ground-glass/consolidation) predominant pattern on initial CT is linked to a better outcome regarding disease extent on HRCT.