Observational studyBMC pulmonary medicine2024
Correlation between CT-based phenotypes and serum biomarker in interstitial lung diseases.
Observational study in BMC pulmonary medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Association of CYFRA 21-1 with quantitative CT-defined fibrotic progression in idiopathic pulmonary fibrosis.BMC pulmonary medicine · 2026Article
- Correlation of a combined serum biomarker panel with the composite physiologic index in connective tissue disease-associated interstitial lung disease.Frontiers in physiology · 2026Article
- Application of HRCT-based radiomics to predict interstitial lung disease for juvenile dermatomyositis.BMC pediatrics · 2025Article
- Homology-feature-assisted quantification of fibrotic lesions in computed tomography images: a proof of concept for CT image feature-based prediction for gene-expression-distribution.International journal of computer assisted radiology and surgery · 2025Article
- Dynamics of serum tumor markers may indicate the progression of interstitial lung disease in Sjögren's syndrome patients: new roles for old friends.Clinical and experimental medicine · 2025Article
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Authors and funding
6 authors.
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Abstract
backgroundThe quantitative analysis of computed tomography (CT) and Krebs von den Lungen-6 (KL-6) serum level has gained importance in the diagnosis, monitoring, and prognostication of interstitial lung disease (ILD). However, the associations between quantitative analysis of CT and serum KL-6 level remain poorly understood.
methodsIn this retrospective observational study conducted at tertiary hospital between June 2020 and March 2022, quantitative analysis of CT was performed using the deep learning-based method including reticulation, ground glass opacity (GGO), honeycombing, and consolidation. We investigated the associations between CT-based phenotypes and serum KL-6 measured within three months of the CT scan. Furthermore, we evaluated the performance of the combined CT-based phenotypes and KL-6 levels in predicting hospitalizations due to respiratory reasons of ILD patients.
resultsA total of 131 ILD patients (104 males) with a median age of 67 years were included in this study. Reticulation, GGO, honeycombing, and consolidation extents showed a positive correlation with KL-6 levels. [Reticulation, correlation coefficient (r) = 0.567, p < 0.001; GGO, r = 0.355, p < 0.001; honeycombing, r = 0.174, p = 0.046; and consolidation, r = 0.446, p < 0.001]. Additionally, the area under the ROC of the combined reticulation and KL-6 for hospitalizations due to respiratory reasons was 0.810 (p < 0.001).
conclusionsQuantitative analysis of CT features and serum KL-6 levels ascertained a positive correlation between the two. In addition, the combination of reticulation and KL-6 shows potential for predicting hospitalizations of ILD patients due to respiratory causes. The combination of reticulation, focusing on phenotypic change in lung parenchyma, and KL-6, as an indicator of lung injury extent, could be helpful for monitoring and predicting the prognosis of various types of ILD.
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