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Automatic quantitative computed tomography measurement of longitudinal lung volume loss in interstitial lung diseases
OBJECTIVES: To compare the lung CT volume (CTvol) and pulmonary function tests in an interstitial lung disease (ILD) population. Then to evaluate the CTvol loss between idiopathic pulmonary fibrosis (IPF) and non-IPF and explore a prognostic value of annual CTvol loss in IPF. METHODS: We conducted i...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9123030/ https://www.ncbi.nlm.nih.gov/pubmed/35029730 http://dx.doi.org/10.1007/s00330-021-08482-9 |
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author | Si-Mohamed, Salim A. Nasser, Mouhamad Colevray, Marion Nempont, Olivier Lartaud, Pierre-Jean Vlachomitrou, Anna Broussaud, Thomas Ahmad, Kais Traclet, Julie Cottin, Vincent Boussel, Loic |
author_facet | Si-Mohamed, Salim A. Nasser, Mouhamad Colevray, Marion Nempont, Olivier Lartaud, Pierre-Jean Vlachomitrou, Anna Broussaud, Thomas Ahmad, Kais Traclet, Julie Cottin, Vincent Boussel, Loic |
author_sort | Si-Mohamed, Salim A. |
collection | PubMed |
description | OBJECTIVES: To compare the lung CT volume (CTvol) and pulmonary function tests in an interstitial lung disease (ILD) population. Then to evaluate the CTvol loss between idiopathic pulmonary fibrosis (IPF) and non-IPF and explore a prognostic value of annual CTvol loss in IPF. METHODS: We conducted in an expert center a retrospective study between 2005 and 2018 on consecutive patients with ILD. CTvol was measured automatically using commercial software based on a deep learning algorithm. In the first group, Spearman correlation coefficients (r) between forced vital capacity (FVC), total lung capacity (TLC), and CTvol were calculated. In a second group, annual CTvol loss was calculated using linear regression analysis and compared with the Mann–Whitney test. In a last group of IPF patients, annual CTvol loss was calculated between baseline and 1-year CTs for investigating with the Youden index a prognostic value of major adverse event at 3 years. Univariate and log-rank tests were calculated. RESULTS: In total, 560 patients (4610 CTs) were analyzed. For 1171 CTs, CTvol was correlated with FVC (r: 0.86) and TLC (r: 0.84) (p < 0.0001). In 408 patients (3332 CT), median annual CTvol loss was 155.7 mL in IPF versus 50.7 mL in non-IPF (p < 0.0001) over 5.03 years. In 73 IPF patients, a relative annual CTvol loss of 7.9% was associated with major adverse events (log-rank, p < 0.0001) in univariate analysis (p < 0.001). CONCLUSIONS: Automated lung CT volume may be an alternative or a complementary biomarker to pulmonary function tests for the assessment of lung volume loss in ILD. KEY POINTS: • There is a good correlation between lung CT volume and forced vital capacity, as well as for with total lung capacity measurements (r of 0.86 and 0.84 respectively, p < 0.0001). • Median annual CT volume loss is significantly higher in patients with idiopathic pulmonary fibrosis than in patients with other fibrotic interstitial lung diseases (155.7 versus 50.7 mL, p < 0.0001). • In idiopathic pulmonary fibrosis, a relative annual CT volume loss higher than 9.4% is associated with a significantly reduced mean survival time at 2.0 years versus 2.8 years (log-rank, p < 0.0001). |
format | Online Article Text |
id | pubmed-9123030 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-91230302022-05-22 Automatic quantitative computed tomography measurement of longitudinal lung volume loss in interstitial lung diseases Si-Mohamed, Salim A. Nasser, Mouhamad Colevray, Marion Nempont, Olivier Lartaud, Pierre-Jean Vlachomitrou, Anna Broussaud, Thomas Ahmad, Kais Traclet, Julie Cottin, Vincent Boussel, Loic Eur Radiol Chest OBJECTIVES: To compare the lung CT volume (CTvol) and pulmonary function tests in an interstitial lung disease (ILD) population. Then to evaluate the CTvol loss between idiopathic pulmonary fibrosis (IPF) and non-IPF and explore a prognostic value of annual CTvol loss in IPF. METHODS: We conducted in an expert center a retrospective study between 2005 and 2018 on consecutive patients with ILD. CTvol was measured automatically using commercial software based on a deep learning algorithm. In the first group, Spearman correlation coefficients (r) between forced vital capacity (FVC), total lung capacity (TLC), and CTvol were calculated. In a second group, annual CTvol loss was calculated using linear regression analysis and compared with the Mann–Whitney test. In a last group of IPF patients, annual CTvol loss was calculated between baseline and 1-year CTs for investigating with the Youden index a prognostic value of major adverse event at 3 years. Univariate and log-rank tests were calculated. RESULTS: In total, 560 patients (4610 CTs) were analyzed. For 1171 CTs, CTvol was correlated with FVC (r: 0.86) and TLC (r: 0.84) (p < 0.0001). In 408 patients (3332 CT), median annual CTvol loss was 155.7 mL in IPF versus 50.7 mL in non-IPF (p < 0.0001) over 5.03 years. In 73 IPF patients, a relative annual CTvol loss of 7.9% was associated with major adverse events (log-rank, p < 0.0001) in univariate analysis (p < 0.001). CONCLUSIONS: Automated lung CT volume may be an alternative or a complementary biomarker to pulmonary function tests for the assessment of lung volume loss in ILD. KEY POINTS: • There is a good correlation between lung CT volume and forced vital capacity, as well as for with total lung capacity measurements (r of 0.86 and 0.84 respectively, p < 0.0001). • Median annual CT volume loss is significantly higher in patients with idiopathic pulmonary fibrosis than in patients with other fibrotic interstitial lung diseases (155.7 versus 50.7 mL, p < 0.0001). • In idiopathic pulmonary fibrosis, a relative annual CT volume loss higher than 9.4% is associated with a significantly reduced mean survival time at 2.0 years versus 2.8 years (log-rank, p < 0.0001). Springer Berlin Heidelberg 2022-01-14 2022 /pmc/articles/PMC9123030/ /pubmed/35029730 http://dx.doi.org/10.1007/s00330-021-08482-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Chest Si-Mohamed, Salim A. Nasser, Mouhamad Colevray, Marion Nempont, Olivier Lartaud, Pierre-Jean Vlachomitrou, Anna Broussaud, Thomas Ahmad, Kais Traclet, Julie Cottin, Vincent Boussel, Loic Automatic quantitative computed tomography measurement of longitudinal lung volume loss in interstitial lung diseases |
title | Automatic quantitative computed tomography measurement of longitudinal lung volume loss in interstitial lung diseases |
title_full | Automatic quantitative computed tomography measurement of longitudinal lung volume loss in interstitial lung diseases |
title_fullStr | Automatic quantitative computed tomography measurement of longitudinal lung volume loss in interstitial lung diseases |
title_full_unstemmed | Automatic quantitative computed tomography measurement of longitudinal lung volume loss in interstitial lung diseases |
title_short | Automatic quantitative computed tomography measurement of longitudinal lung volume loss in interstitial lung diseases |
title_sort | automatic quantitative computed tomography measurement of longitudinal lung volume loss in interstitial lung diseases |
topic | Chest |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9123030/ https://www.ncbi.nlm.nih.gov/pubmed/35029730 http://dx.doi.org/10.1007/s00330-021-08482-9 |
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