Chronic lung allograft dysfunction (CLAD) results in significant morbidity after lung transplantation. Potential CLAD occurs when lung function declines to 80-90% of baseline. Better noninvasive tools to prognosticate at potential CLAD are needed. To determine whether parametric response mapping (PRM), a computed tomography (CT) voxel-wise methodology applied to high-resolution CT scans, can identify patients at risk of progression to CLAD or death. Radiographic features and PRM-based CT metrics quantifying functional small airway disease (PRM) and parenchymal disease (PRM) were studied at potential CLAD ( = 61). High PRM and high PRM were defined as ⩾30%. Restricted mean modeling was performed to compare CLAD-free survival among groups. PRM metrics identified the following three unique signatures: high PRM (11.5%), high PRM (41%), and neither (PRM; 47.5%). Patients with high PRM or PRM had shorter CLAD-free median survival times (0.46 yr and 0.50 yr) compared with patients with predominantly PRM (2.03 yr; = 0.004 and = 0.007 compared with PRM and PRM groups, respectively). In multivariate modeling adjusting for single- versus double-lung transplant, age at transplant, body mass index at potential CLAD, and time from transplant to CT scan, PRM ⩾30% or PRM ⩾30% continue to be statistically significant predictors of shorter CLAD-free survival. Air trapping by radiologist interpretation was common (66%), was similar across PRM groups, and was not predictive of CLAD-free survival. Ground-glass opacities by radiologist read occurred in 16% of cases and were associated with decreased CLAD-free survival ( < 0.001). PRM analysis offers valuable prognostic information at potential CLAD, identifying patients most at risk of developing CLAD or death.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8534626PMC
http://dx.doi.org/10.1164/rccm.202012-4528OCDOI Listing

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