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CT quantification of the heterogeneity of fibrosis boundaries in idiopathic pulmonary fibrosis
OBJECTIVES: To quantify the heterogeneity of fibrosis boundaries in idiopathic pulmonary fibrosis (IPF) using the Gaussian curvature analysis for evaluating disease severity and predicting survival. METHODS: We retrospectively included 104 IPF patients and 52 controls who underwent baseline chest CT...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7804589/ https://www.ncbi.nlm.nih.gov/pubmed/33439318 http://dx.doi.org/10.1007/s00330-020-07594-y |
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author | Park, Junghoan Jung, Julip Yoon, Soon Ho Hong, Helen Kim, Hyungjin Kim, Heekyung Yoon, Jeong-Hwa Goo, Jin Mo |
author_facet | Park, Junghoan Jung, Julip Yoon, Soon Ho Hong, Helen Kim, Hyungjin Kim, Heekyung Yoon, Jeong-Hwa Goo, Jin Mo |
author_sort | Park, Junghoan |
collection | PubMed |
description | OBJECTIVES: To quantify the heterogeneity of fibrosis boundaries in idiopathic pulmonary fibrosis (IPF) using the Gaussian curvature analysis for evaluating disease severity and predicting survival. METHODS: We retrospectively included 104 IPF patients and 52 controls who underwent baseline chest CT scans. Normal lungs below − 500 HU were segmented, and the boundary was three-dimensionally reconstructed using in-house software. Gaussian curvature analysis provided histogram features on the heterogeneity of the fibrosis boundary. We analyzed the correlations between histogram features and the gender-age-physiology (GAP) and CT fibrosis scores. We built a regression model to predict diffusing capacity of carbon monoxide (DLCO) using the histogram features and calculated the modified GAP (mGAP) score by replacing DLCO with the predicted DLCO. The performances of the GAP, CT-GAP, and mGAP scores were compared using 100 repeated random-split sets. RESULTS: Patients with moderate-to-severe IPF had more numerous Gaussian curvatures at the fibrosis boundary, lower uniformity, and lower 10th to 30th percentiles of Gaussian curvature than controls or patients with mild IPF (all p < 0.0033). The 20th percentile was most significantly correlated with the GAP score (r = − 0.357; p < 0.001) and the CT fibrosis score (r = − 0.343; p = 0.001). More numerous Gaussian curvatures, higher entropy, lower uniformity, and 10th to 30th percentiles (p < 0.001–0.041) were associated with mortality. The mGAP score was comparable to the GAP and CT-GAP scores for survival prediction (mean C-indices, 0.76 vs. 0.79 vs. 0.77, respectively). CONCLUSIONS: Gaussian curvatures of fibrosis boundaries became more heterogeneous as the disease progressed, and heterogeneity was negatively associated with survival in IPF. KEY POINTS: • Gaussian curvature of the fibrotic lung boundary was more heterogeneous in patients with moderate-to-severe IPF than those with mild IPF or normal controls. • The 20th percentile of the Gaussian curvature of the fibrosis boundary was linearly correlated with the GAP score and the CT fibrosis score. • A modified GAP score that replaced the diffusing capacity of carbon monoxide with a composite measure using histogram features of the Gaussian curvature of the fibrosis boundary showed a comparable ability to predict survival to both the GAP and the CT-GAP score. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00330-020-07594-y. |
format | Online Article Text |
id | pubmed-7804589 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-78045892021-01-13 CT quantification of the heterogeneity of fibrosis boundaries in idiopathic pulmonary fibrosis Park, Junghoan Jung, Julip Yoon, Soon Ho Hong, Helen Kim, Hyungjin Kim, Heekyung Yoon, Jeong-Hwa Goo, Jin Mo Eur Radiol Chest OBJECTIVES: To quantify the heterogeneity of fibrosis boundaries in idiopathic pulmonary fibrosis (IPF) using the Gaussian curvature analysis for evaluating disease severity and predicting survival. METHODS: We retrospectively included 104 IPF patients and 52 controls who underwent baseline chest CT scans. Normal lungs below − 500 HU were segmented, and the boundary was three-dimensionally reconstructed using in-house software. Gaussian curvature analysis provided histogram features on the heterogeneity of the fibrosis boundary. We analyzed the correlations between histogram features and the gender-age-physiology (GAP) and CT fibrosis scores. We built a regression model to predict diffusing capacity of carbon monoxide (DLCO) using the histogram features and calculated the modified GAP (mGAP) score by replacing DLCO with the predicted DLCO. The performances of the GAP, CT-GAP, and mGAP scores were compared using 100 repeated random-split sets. RESULTS: Patients with moderate-to-severe IPF had more numerous Gaussian curvatures at the fibrosis boundary, lower uniformity, and lower 10th to 30th percentiles of Gaussian curvature than controls or patients with mild IPF (all p < 0.0033). The 20th percentile was most significantly correlated with the GAP score (r = − 0.357; p < 0.001) and the CT fibrosis score (r = − 0.343; p = 0.001). More numerous Gaussian curvatures, higher entropy, lower uniformity, and 10th to 30th percentiles (p < 0.001–0.041) were associated with mortality. The mGAP score was comparable to the GAP and CT-GAP scores for survival prediction (mean C-indices, 0.76 vs. 0.79 vs. 0.77, respectively). CONCLUSIONS: Gaussian curvatures of fibrosis boundaries became more heterogeneous as the disease progressed, and heterogeneity was negatively associated with survival in IPF. KEY POINTS: • Gaussian curvature of the fibrotic lung boundary was more heterogeneous in patients with moderate-to-severe IPF than those with mild IPF or normal controls. • The 20th percentile of the Gaussian curvature of the fibrosis boundary was linearly correlated with the GAP score and the CT fibrosis score. • A modified GAP score that replaced the diffusing capacity of carbon monoxide with a composite measure using histogram features of the Gaussian curvature of the fibrosis boundary showed a comparable ability to predict survival to both the GAP and the CT-GAP score. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00330-020-07594-y. Springer Berlin Heidelberg 2021-01-13 2021 /pmc/articles/PMC7804589/ /pubmed/33439318 http://dx.doi.org/10.1007/s00330-020-07594-y Text en © European Society of Radiology 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Chest Park, Junghoan Jung, Julip Yoon, Soon Ho Hong, Helen Kim, Hyungjin Kim, Heekyung Yoon, Jeong-Hwa Goo, Jin Mo CT quantification of the heterogeneity of fibrosis boundaries in idiopathic pulmonary fibrosis |
title | CT quantification of the heterogeneity of fibrosis boundaries in idiopathic pulmonary fibrosis |
title_full | CT quantification of the heterogeneity of fibrosis boundaries in idiopathic pulmonary fibrosis |
title_fullStr | CT quantification of the heterogeneity of fibrosis boundaries in idiopathic pulmonary fibrosis |
title_full_unstemmed | CT quantification of the heterogeneity of fibrosis boundaries in idiopathic pulmonary fibrosis |
title_short | CT quantification of the heterogeneity of fibrosis boundaries in idiopathic pulmonary fibrosis |
title_sort | ct quantification of the heterogeneity of fibrosis boundaries in idiopathic pulmonary fibrosis |
topic | Chest |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7804589/ https://www.ncbi.nlm.nih.gov/pubmed/33439318 http://dx.doi.org/10.1007/s00330-020-07594-y |
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