Association of Progressive PPFE and Mortality in Lung Cancer Screening Cohorts

Fuente: arXiv
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Autori principali: Aslani, Shahab, Azimbagirad, Mehran, Cheng, Daryl, Yamada, Daisuke, Egashira, Ryoko, Szmul, Adam, Chan-Fook, Justine, Chapman, Robert, So, Alfred Chung Pui, Wang, Shanshan, McCabe, John, Yang, Tianqi, Brenes, Jose M, Gudmundsson, Eyjolfur, Consortium, The SUMMIT, Astley, Susan M., Alexander, Daniel C., Janes, Sam M., Jacob, Joseph
Natura: Preprint
Pubblicazione: 2026
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author Aslani, Shahab
Azimbagirad, Mehran
Cheng, Daryl
Yamada, Daisuke
Egashira, Ryoko
Szmul, Adam
Chan-Fook, Justine
Chapman, Robert
So, Alfred Chung Pui
Wang, Shanshan
McCabe, John
Yang, Tianqi
Brenes, Jose M
Gudmundsson, Eyjolfur
Consortium, The SUMMIT
Astley, Susan M.
Alexander, Daniel C.
Janes, Sam M.
Jacob, Joseph
author_facet Aslani, Shahab
Azimbagirad, Mehran
Cheng, Daryl
Yamada, Daisuke
Egashira, Ryoko
Szmul, Adam
Chan-Fook, Justine
Chapman, Robert
So, Alfred Chung Pui
Wang, Shanshan
McCabe, John
Yang, Tianqi
Brenes, Jose M
Gudmundsson, Eyjolfur
Consortium, The SUMMIT
Astley, Susan M.
Alexander, Daniel C.
Janes, Sam M.
Jacob, Joseph
contents Background: Pleuroparenchymal fibroelastosis (PPFE) is an upper lobe predominant fibrotic lung abnormality associated with increased mortality in established interstitial lung disease. However, the clinical significance of radiologic PPFE progression in lung cancer screening (LCS) populations remains unclear. Methods: We analysed longitudinal low-dose CT scans and clinical data from two LCS studies: National Lung Screening Trial (NLST; n=7,980); SUMMIT study (n=8,561). An automated algorithm quantified PPFE volume on baseline and follow-up scans. Annualised change in PPFE was derived and dichotomised using a distribution-based threshold to define progressive PPFE. Associations between progressive PPFE and mortality were evaluated using Cox proportional hazards models adjusted for demographic and clinical variables. In SUMMIT cohort, associations between progressive PPFE and clinical outcomes were assessed using incidence rate ratios (IRR) and odds ratios (OR). Findings: Progressive PPFE independently associated with mortality in both LCS cohorts (NLST: Hazard Ratio (HR)=1.25, 95% Confidence Interval (CI): 1.01--1.56, p=0.042; SUMMIT: HR=3.14, 95% CI: 1.66--5.97, p<0.001). Within SUMMIT, progressive PPFE was strongly associated with higher respiratory admissions (IRR=2.79, p<0.001), increased antibiotic and steroid use (IRR=1.55, p=0.010), and showed a trend towards higher modified medical research council scores (OR=1.40, p=0.055). Interpretation: Radiologic PPFE progression independently associates with mortality across two large LCS cohorts, and associates with adverse clinical outcomes. Quantitative assessment of PPFE progression may provide a clinically relevant imaging biomarker to identify individuals at increased risk of respiratory morbidity within LCS programmes.
format Preprint
id arxiv_https___arxiv_org_abs_2603_09531
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Association of Progressive PPFE and Mortality in Lung Cancer Screening Cohorts
Aslani, Shahab
Azimbagirad, Mehran
Cheng, Daryl
Yamada, Daisuke
Egashira, Ryoko
Szmul, Adam
Chan-Fook, Justine
Chapman, Robert
So, Alfred Chung Pui
Wang, Shanshan
McCabe, John
Yang, Tianqi
Brenes, Jose M
Gudmundsson, Eyjolfur
Consortium, The SUMMIT
Astley, Susan M.
Alexander, Daniel C.
Janes, Sam M.
Jacob, Joseph
Quantitative Methods
Computer Vision and Pattern Recognition
Image and Video Processing
Applications
Background: Pleuroparenchymal fibroelastosis (PPFE) is an upper lobe predominant fibrotic lung abnormality associated with increased mortality in established interstitial lung disease. However, the clinical significance of radiologic PPFE progression in lung cancer screening (LCS) populations remains unclear. Methods: We analysed longitudinal low-dose CT scans and clinical data from two LCS studies: National Lung Screening Trial (NLST; n=7,980); SUMMIT study (n=8,561). An automated algorithm quantified PPFE volume on baseline and follow-up scans. Annualised change in PPFE was derived and dichotomised using a distribution-based threshold to define progressive PPFE. Associations between progressive PPFE and mortality were evaluated using Cox proportional hazards models adjusted for demographic and clinical variables. In SUMMIT cohort, associations between progressive PPFE and clinical outcomes were assessed using incidence rate ratios (IRR) and odds ratios (OR). Findings: Progressive PPFE independently associated with mortality in both LCS cohorts (NLST: Hazard Ratio (HR)=1.25, 95% Confidence Interval (CI): 1.01--1.56, p=0.042; SUMMIT: HR=3.14, 95% CI: 1.66--5.97, p<0.001). Within SUMMIT, progressive PPFE was strongly associated with higher respiratory admissions (IRR=2.79, p<0.001), increased antibiotic and steroid use (IRR=1.55, p=0.010), and showed a trend towards higher modified medical research council scores (OR=1.40, p=0.055). Interpretation: Radiologic PPFE progression independently associates with mortality across two large LCS cohorts, and associates with adverse clinical outcomes. Quantitative assessment of PPFE progression may provide a clinically relevant imaging biomarker to identify individuals at increased risk of respiratory morbidity within LCS programmes.
title Association of Progressive PPFE and Mortality in Lung Cancer Screening Cohorts
topic Quantitative Methods
Computer Vision and Pattern Recognition
Image and Video Processing
Applications
url https://arxiv.org/abs/2603.09531