Purpose: Differentiating between systemic sclerosis-related interstitial lung disease (SSc-ILD) and idiopathic pulmonary fibrosis (IPF) is important because of the differences in workup, prognosis, and treatment. However, there is much overlap in the appearance of these 2 entities on high-resolution computed tomography. We propose that inflammation and/or fibrosis focally or disproportionately involving the bilateral anterolateral upper lobes and posterosuperior lower lobes [“Four Corners” Sign (FCS)] is specific for SSc-ILD. Materials and Methods: Randomized high-resolution computed tomography studies from 74 IPF and 73 SSc-ILD cases were evaluated by 2 thoracic radiologists blinded to all patient data. For each case the reviewers noted whether the FCS was present and assigned a confidence level on the basis of a 7-point Likert scale. The same process was then performed on a randomized external validation group of 42 SSc-ILD and 42 IPF cases. Results: For Likert scores of 6 or 7 (“mostly agree” or “entirely agree” that the FCS is present, respectively) the sensitivity in SSc was 16.4% (95% confidence interval, 9.7%, 26.6%), specificity 100.0% (95% confidence interval, 95.1%, 100.0%). There was a significant association between a confidently present FCS and SSc compared with a confidently present FCS and IPF (P=0.0003). Analysis on an external validation group of 42 SSc and 42 IPF cases conferred similarly high specificity for SSc in cases characterized as FCS with high confidence. Conclusion: The FCS, a pattern of focal or disproportionate inflammation and/or fibrosis involving the bilateral anterolateral upper lobes and posterosuperior lower lobes, is specific for SSc-ILD when readers are confident of its presence.
CT Features of the Usual Interstitial Pneumonia Pattern: Differentiating Connective Tissue Disease–Associated Interstitial Lung Disease From Idiopathic Pulmonary Fibrosis
Abstract Rationale Granulomatous-lymphocytic interstitial lung disease (GLILD) has emerged as a major cause of morbidity in patients with common variable immunodeficiency (CVID). While GLILD is among the most serious noninfectious pulmonary complications of CVID, risk factors for this condition have not been reported. Objectives To identify clinical, physiologic, and serologic risk factors for GLILD in adults with CVID. Methods Of 345 consecutive adult patients with CVID, we identified 34 in the National Jewish Health research database who had a radiographic-pathologic diagnosis of GLILD evaluated between 2002 and 2014. Each case was age and sex matched to 52 CVID control subjects. We used logistic regression to determine independent predictors of GLILD. A mixed effects model was used to estimate the longitudinal change in percent predicted FVC. Measurements and Main Results: The mean time from CVID diagnosis to GLILD detection was 7.8 years. Compared with matched control subjects, cases were more likely to have a history of autoimmune cytopenia, hypersplenism, polyarthritis, lower marginal zone and switched memory B cells, and restrictive lung function. Multivariate analysis revealed that hypersplenism (odds ratio [OR], 24; 95% confidence interval [CI], 4.5–179.1), polyarthritis (OR, 19; 95% CI, 2.3–206.8), and percent predicted FVC (OR, 0.93; 95% CI, 0.87–0.98) were independently associated with the development of GLILD. The rate of change of percent predicted FVC (slope, P = 0.48) did not vary significantly in patients with GLILD over a mean follow-up of 7 years after diagnosis. Conclusions Hypersplenism and polyarthritis are strong risk factors for GLILD in patients with CVID. Percent predicted FVC remained stable over time in patients with GLILD.