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Updated: Aug 16, 2026
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Imaging Features of Systemic Sclerosis-Associated Interstitial Lung Disease
Published on: June 16, 2020
CT-Based Biomarkers for Predicting Progressive Phenotypes in Interstitial Lung Diseases: A Retrospective Cohort Study
Ju Hyun Oh1,2, Jin Woo Song2, Jonathan Goldin3
1Department of Pulmonary and Critical Care Medicine, Ajou University Medical Center, Ajou University School of Medicine, Suwon, Republic of Korea.
Respirology (Carlton, Vic.)
|August 14, 2026
Summary
The Single Time Point Prediction (STP) score effectively predicts disease progression in patients with fibrosing interstitial lung disease (ILD). Combining STP with quantitative CT scores may enhance risk stratification for non-IPF ILD.
Area of Science:
- Pulmonary Medicine
- Radiology
- Medical Imaging Analysis
Background:
- Predicting disease progression in fibrosing interstitial lung disease (ILD) is challenging due to variable clinical courses.
- Quantitative imaging biomarkers are needed for accurate prognostication in non-idiopathic pulmonary fibrosis (IPF) ILD.
Purpose of the Study:
- To evaluate the Single Time Point Prediction (STP) score's ability to predict disease progression in non-IPF ILD.
- To compare the predictive performance of the STP score against other quantitative computed tomography (CT) scores.
Main Methods:
- Retrospective two-centre study of 245 patients with non-IPF ILD.
- Automated quantification of lung fibrosis (QLF), ground-glass opacity (QGG), total ILD (QILD), normal lung (QNL), and STP scores.
- Disease progression (DP) defined by decline in FVC/DLCO, death, or lung transplantation.
Main Results:
- 137 patients (55.9%) experienced disease progression over a median of 20.4 months.
- High QGG (≥10%), QILD (≥30%), and STP (≥30%) scores were associated with shorter progression-free survival.
- Adjusted analysis confirmed QGG, QILD, and STP as significant predictors of progression (HRs 1.71-1.73, p<0.03).
Conclusions:
- The STP score is a valuable imaging biomarker for predicting disease progression in non-IPF ILD.
- Integrating the STP score with conventional quantitative CT metrics can improve risk stratification for these patients.