Alveolar collapse as a prognostic marker in patients with IPF: A CT-based assessment using an extended parametric response mapping technique

Abstract

Purpose: To investigate whether alveolar collapse detected by an extension of Parametric Response Maps (PRM) can be used as a predictive marker in IPF. Methods: A CT scan was performed in inspiration and expiration on 66 IPF patients. PRMs were created as scatterplots of the voxel-wise attenuation values of the paired inspiration and expiration scans. The PRMs were used to calculate lung parenchymal subvolumes as a function of their attenuation changes during inspiration and expiration. Volumes of “collapsed” lung tissue on expiration were calculated as a percentage of Normal Attenuation Areas (NAA) and High Attenuation Areas (HAA) per patient (NAAcollapse/NAA; HAAcollapse/HAA, respectively). After each respective 3-year period of observation, patients were divided into two subgroups based on their status (endpoints: death and transplantation or still under clinical observation). To compare the named CT parameters obtained at baseline, a Mann-Whitney U test was used. Results: At the end of the 3-year individual follow-up, 37 patients were still under clinical surveillance, whereas 29 patients had died or undergone transplantation. NAAcollapse/NAA and HAAcollapse/HAA differed significantly between subgroups (p = 0.001 and p = 0.002, respectively). Conclusion: The PRM technique can be used to demonstrate the concept of alveolar collapse as a prognostic marker in IPF patients.