What does this research mean for the field?

A multivariable classification model integrating quantitative CT changes in reticular pattern, honeycombing, total lung capacity, and pulmonary vascular volume can reliably distinguish acute exacerbations from progressive fibrosing phenotypes in interstitial lung disease, whereas individual parameters cannot. Novelty: ClaimNovelty.INCREMENTAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

This research aims to distinguish between acute exacerbations and progressive fibrosis in interstitial lung disease using quantitative CT analysis.

May 20, 2026American Journal of Respiratory and Critical Care Medicine

B23-07 Quantitative Computed Tomography Analysis Distinguishes Acute Exacerbation From Progressive Fibrosing Phenotypes in Interstitial Lung Disease

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Authors

MCM Martinez Carranza JZJ Orozco Zapata IMI Español Montero

Discussion

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Overview

Randomized trial demonstrates clear differentiation of lung disease phenotypes, aiding treatment decisions.

Key Points

This research aims to distinguish between acute exacerbations and progressive fibrosis in interstitial lung disease using quantitative CT analysis.
Analyzed 62 ILD patients with acute respiratory deterioration using IMBIO Lung Texture Analysis.
Comparison included baseline, acute presentation, and follow-up CT scans with a focus on ground-glass opacities and fibrotic patterns.
Developed multivariable logistic regression models to identify diagnostic parameters.
GGO increased significantly in both groups: exacerbation by +21.5% (p<0.001) and non-exacerbation by +19.1% (p=0.003), yet did not differentiate phenotypes (p=0.825).
Patients with AEx-ILD had stable reticular patterns (-0.8%, p=0.96) and moderate volume loss (-403 mL, p<0.001), while the non-exacerbation group showed reticular progression (+5.5%, p=0.020) and greater volume loss (-588 mL, p<0.001).
Multivariable analysis using multiple IMBIO parameters provided strong diagnostic performance (AUC=0.787, sensitivity 72%, specificity 76%).

Cite This Study

Carranza et al. (2026) studied this question.

synapsesocial.com/papers/6a0d5013f03e14405aa9b9f3 https://doi.org/10.1093/ajrccm/aamag162.2444

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May 20, 2026American Journal of Respiratory and Critical Care Medicine

B23-07 Quantitative Computed Tomography Analysis Distinguishes Acute Exacerbation From Progressive Fibrosing Phenotypes in Interstitial Lung Disease

View Full Paper

Ask AI

Bookmark

Authors

MCM Martinez Carranza JZJ Orozco Zapata IMI Español Montero

Discussion

Member takes

Overview

Randomized trial demonstrates clear differentiation of lung disease phenotypes, aiding treatment decisions.

Key Points

This research aims to distinguish between acute exacerbations and progressive fibrosis in interstitial lung disease using quantitative CT analysis.
Analyzed 62 ILD patients with acute respiratory deterioration using IMBIO Lung Texture Analysis.
Comparison included baseline, acute presentation, and follow-up CT scans with a focus on ground-glass opacities and fibrotic patterns.
Developed multivariable logistic regression models to identify diagnostic parameters.
GGO increased significantly in both groups: exacerbation by +21.5% (p<0.001) and non-exacerbation by +19.1% (p=0.003), yet did not differentiate phenotypes (p=0.825).
Patients with AEx-ILD had stable reticular patterns (-0.8%, p=0.96) and moderate volume loss (-403 mL, p<0.001), while the non-exacerbation group showed reticular progression (+5.5%, p=0.020) and greater volume loss (-588 mL, p<0.001).
Multivariable analysis using multiple IMBIO parameters provided strong diagnostic performance (AUC=0.787, sensitivity 72%, specificity 76%).

Cite This Study

Carranza et al. (2026) studied this question.

synapsesocial.com/papers/6a0d5013f03e14405aa9b9f3 https://doi.org/10.1093/ajrccm/aamag162.2444

View Full Paper

Ask AI

Bookmark