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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Shin, Beomsu Oh, You Jin Kim, Jonghun Park, Sung Goo Lee, Kyung Soo Lee, Ho Yun |
| Abstract | Background The 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. Methods In 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. Results A 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). Conclusions Quantitative 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. |
| Related Links | https://bmcpulmmed.biomedcentral.com/counter/pdf/10.1186/s12890-024-03344-8.pdf |
| Ending Page | 10 |
| Page Count | 10 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 14712466 |
| DOI | 10.1186/s12890-024-03344-8 |
| Journal | BMC Pulmonary Medicine |
| Issue Number | 1 |
| Volume Number | 24 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2024-10-19 |
| Access Restriction | Open |
| Subject Keyword | Pneumology Respiratory System Internal Medicine Intensive Critical Care Medicine Interstitial lung disease Quantitative analysis High-resolution computed tomography Krebs von den Lungen-6 Pneumology/Respiratory System |
| Content Type | Text |
| Resource Type | Article |
| Subject | Pulmonary and Respiratory Medicine |
| Journal Impact Factor | 2.6/2023 |
| 5-Year Journal Impact Factor | 3/2023 |
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