OBJECTIVES: The study aims were to identify CT features that predict outcome of fibrotic @entity16058 ( @entity16058 ) when information from lung biopsy data is unavailable. METHODS: HRCTs of 146 consecutive @entity1 presenting with @entity16058 were studied. Visual estimates were made of the extent of abnormal lung and proportional contribution of fine and coarse reticulation, microcystic (cysts  <=4 mm) and macrocystic honeycombing. A score for severity of traction @entity4595 was also assigned. Using @entity204 as our primary outcome measure, variables were analysed using the @entity797 proportional hazards model. RESULTS: CT features predictive of a worse outcome were coarse reticulation, microcystic and macrocystic honeycombing, as well as overall extent of @entity358 (p   <   0.001). Importantly, increased severity of traction @entity4595 , corrected for extent of parenchymal abnormality, was predictive of poor prognosis regardless of the background pattern of abnormal lung (HR   =   1.04, CI   =   1.03-1.06, p   <   0.001). On bivariate @entity797 analysis microcystic honeycombing was a more powerful determinant of a poor prognosis than macrocystic honeycombing. CONCLUSIONS: In fibrotic IIPs we have shown that increasingly severe traction @entity4595 is indicative of higher mortality irrespective of the HRCT pattern and extent of disease. Extent of microcystic honeycombing is a more powerful determinant of outcome than macrocystic honeycombing.

Fibrotic XXXX : HRCT findings that predict mortality.

@entity1 :: ('9606', 'Species') :: ['patients'] @entity16058 :: ('MESH:D054988', 'Disease') :: ['idiopathic interstitial pneumonia', 'fibrotic IIP', 'IIP'] @entity797 :: ('1351', 'Gene') :: ['Cox'] @entity358 :: ('MESH:D008171', 'Disease') :: ['lung abnormality'] @entity4595 :: ('MESH:D001987', 'Disease') :: ['bronchiectasis'] @entity204 :: ('MESH:D003643', 'Disease') :: ['death']
@entity16058 :: (MESH:D054988,Disease) :: ['idiopathic interstitial pneumonias']
