Interstitial Lung Disease Outcome Prediction Using Quantitative Densitometry Indices on Baseline Chest Computed Tomography

<b>Background/Objectives</b>: Accurate prognostication for interstitial lung disease (ILD) remains challenging, limiting clinicians' ability to optimize patient management strategies. This study aimed to evaluate the prognostic value of baseline quantitative CT-derived indices, including total lung volume (TLVcm<sup>3</sup>), normal lung volume% (NLV%), and fibrotic lung volume% (FLV%), for predicting three-year mortality in interstitial lung disease (ILD) patients. <b>Methods</b>: A total of 101 ILD patients were retrospectively enrolled. Baseline CT-derived indices, including TLVcm<sup>3</sup>, NLV% (-950 to -700 HU), and FLV% (-600 to +50 HU), were measured on chest CT. Baseline forced vital capacity(FVC)% predicted and diffuse capacity of lungs for carbon monoxide (DLCO)% predicted were collected. Survival analysis used Kaplan-Meier's curves and log-rank tests. Uni- and multivariate Cox's proportional hazards regression were performed. Pearson's correlation was used between CT-derived indices, FVC% predicted, and DLCO% predicted. <b>Results</b>: During 3-year follow-up, 30 of 101 patients (29.70%) died. Deceased patients had a significantly lower baseline NLV% (59.27% ± 7.61% vs. 65.02% ± 7.82%, <i>p</i> = 0.001) and a higher FLV% (17.64% ± 7.98% vs. 13.34% ± 7.48%, <i>p</i> = 0.011) compared with survivors. Multivariate analysis identified baseline NLV% (adjusted hazard ratio 0.88, 95% CI: 0.78-0.99, <i>p</i> = 0.034) and DLCO% predicted (adjusted hazard ratio 0.97, 95% CI: 0.95-0.99, <i>p</i> = 0.007) as independent predictors of three-year mortality. Patients with NLV% ≤ 64.15 and FLV% ≥ 14.12 showed significantly worse survival outcomes (21.78% vs. 7.92%, <i>p</i> < 0.001;19.80% (20/101) vs. 9.90% (10/101), <i>p</i> < 0.001). CT-derived indices moderately correlated with FVC% predicted and DLCO% predicted. <b>Conclusions</b>: Baseline FLV% ≥ 14.12 and NLV% ≤ 64.15 can effectively stratify and differentiate outcomes in ILD patients. Baseline NLV% has the potential as a prognostic indicator for 3-year survival in ILD.

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Publication Details

Journal
Diagnostics
Published
2025-10-22
DOI
https://doi.org/10.3390/diagnostics15212665
Citations
1
Primary Topic
Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
Type
article
Field-Weighted Citation Impact
1.52

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article

Interstitial Lung Disease Outcome Prediction Using Quantitative Densitometry Indices on Baseline Chest Computed Tomography

Chien‐Kuo Wang, Tang‐Hsiu Huang, Chung‐Ying Lin, Yi‐Shan Tsai et al.
1 citations
Diagnostics
Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
1.52
article

Interstitial Lung Disease Outcome Prediction Using Quantitative Densitometry Indices on Baseline Chest Computed Tomography

Chien‐Kuo Wang, Tang‐Hsiu Huang, Chung‐Ying Lin, Yi‐Shan Tsai, Chia-Ying Lin, Li-Ting Huang, Hao Ho
article en
1 citations

Abstract

<b>Background/Objectives</b>: Accurate prognostication for interstitial lung disease (ILD) remains challenging, limiting clinicians' ability to optimize patient management strategies. This study aimed to evaluate the prognostic value of baseline quantitative CT-derived indices, including total lung volume (TLVcm<sup>3</sup>), normal lung volume% (NLV%), and fibrotic lung volume% (FLV%), for predicting three-year mortality in interstitial lung disease (ILD) patients. <b>Methods</b>: A total of 101 ILD patients were retrospectively enrolled. Baseline CT-derived indices, including TLVcm<sup>3</sup>, NLV% (-950 to -700 HU), and FLV% (-600 to +50 HU), were measured on chest CT. Baseline forced vital capacity(FVC)% predicted and diffuse capacity of lungs for carbon monoxide (DLCO)% predicted were collected. Survival analysis used Kaplan-Meier's curves and log-rank tests. Uni- and multivariate Cox's proportional hazards regression were performed. Pearson's correlation was used between CT-derived indices, FVC% predicted, and DLCO% predicted. <b>Results</b>: During 3-year follow-up, 30 of 101 patients (29.70%) died. Deceased patients had a significantly lower baseline NLV% (59.27% ± 7.61% vs. 65.02% ± 7.82%, <i>p</i> = 0.001) and a higher FLV% (17.64% ± 7.98% vs. 13.34% ± 7.48%, <i>p</i> = 0.011) compared with survivors. Multivariate analysis identified baseline NLV% (adjusted hazard ratio 0.88, 95% CI: 0.78-0.99, <i>p</i> = 0.034) and DLCO% predicted (adjusted hazard ratio 0.97, 95% CI: 0.95-0.99, <i>p</i> = 0.007) as independent predictors of three-year mortality. Patients with NLV% ≤ 64.15 and FLV% ≥ 14.12 showed significantly worse survival outcomes (21.78% vs. 7.92%, <i>p</i> < 0.001;19.80% (20/101) vs. 9.90% (10/101), <i>p</i> < 0.001). CT-derived indices moderately correlated with FVC% predicted and DLCO% predicted. <b>Conclusions</b>: Baseline FLV% ≥ 14.12 and NLV% ≤ 64.15 can effectively stratify and differentiate outcomes in ILD patients. Baseline NLV% has the potential as a prognostic indicator for 3-year survival in ILD.

DiagnosticsVol. 15(21)
Kaohsiung Medical University (TW), University of California, Los Angeles (US), National Cheng Kung University Hospital (TW), National Cheng Kung University (TW)
National Cheng Kung University Hospital, National Cheng Kung University
Openalex Percentile: Top 13%
Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
1.52
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