• Elizabeth A Belloli, Tian Gu, Yizhuo Wang, Dharshan Vummidi, Dennis M Lyu, Michael P Combs, Aamer Chughtai, Susan Murray, Craig J Galbán, and Vibha N Lama.
• Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine.
• Am. J. Respir. Crit. Care Med. 2021 Oct 15; 204 (8): 967-976.

AbstractRationale: 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. Objectives: 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. Methods: Radiographic features and PRM-based CT metrics quantifying functional small airway disease (PRMfSAD) and parenchymal disease (PRMPD) were studied at potential CLAD (n = 61). High PRMfSAD and high PRMPD were defined as ⩾30%. Restricted mean modeling was performed to compare CLAD-free survival among groups. Measurements and Main Results: PRM metrics identified the following three unique signatures: high PRMfSAD (11.5%), high PRMPD (41%), and neither (PRMNormal; 47.5%). Patients with high PRMfSAD or PRMPD had shorter CLAD-free median survival times (0.46 yr and 0.50 yr) compared with patients with predominantly PRMNormal (2.03 yr; P = 0.004 and P = 0.007 compared with PRMfSAD and PRMPD 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, PRMfSAD ⩾30% or PRMPD ⩾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 (P < 0.001). Conclusions: PRM analysis offers valuable prognostic information at potential CLAD, identifying patients most at risk of developing CLAD or death.

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