One-Year Change in Quantitative Computed Tomography Is Associated with Meaningful Outcomes in Fibrotic Lung Disease.

Koslow, Matthew; Baraghoshi, David; Swigris, Jeffrey J; Brown, Kevin K; Fernández Pérez, Evans R; Huie, Tristan J; Keith, Rebecca C; Mohning, Michael P et al. · Am J Respir Crit Care Med · 2025

prospective_cohort · Level II

Where this comes from

Abstract

<b>Rationale:</b> Whether change in fibrosis on high-resolution computed tomography is associated with near- and longer-term outcomes in patients with fibrotic interstitial lung disease (fILD) remains unclear. <b>Objectives:</b> We evaluated the association between 1-year change in quantitative fibrosis scores (data-driven textural analysis [DTA]) and subsequent FVC and survival in patients with fILD. <b>Methods:</b> The primary cohort included patients with fILD evaluated from 2017 to 2020 with baseline and 1-year follow-up high-resolution computed tomography and FVC. Associations between DTA change and subsequent FVC were assessed using linear mixed models. Transplant-free survival was assessed using Cox proportional hazards models. The Pulmonary Fibrosis Foundation Patient Registry served as the validation cohort. <b>Measurements and Main Results:</b> The primary cohort included 407 patients (median [interquartile range] age, 70.5 [64.8, 75.9] yr; 214 male). One-year increase in DTA was associated with subsequent FVC decline and transplant-free survival. The largest effect on FVC was observed in patients with low baseline DTA scores, in whom a 5% increase in DTA over 1 year was associated with a change in FVC of -91 ml/yr (95% confidence interval [CI], -117, -65 vs. stable DTA, -49 ml/yr; 95% CI, -69, -29; <i>P</i> = 0.0002). The hazard ratio for transplant-free survival for a 5% increase in DTA over 1 year was 1.45 (95% CI, 1.25, 1.68). The findings were confirmed in the validation cohort. <b>Conclusions:</b> One-year change in DTA score is associated with future disease trajectory and transplant-free survival in patients with fILD. DTA could be a useful trial endpoint, cohort enrichment tool, and metric to incorporate into clinical care.

Medical subject headings