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Quantitative analysis of computed tomography of the lungs in patients with lymphangioleiomyomatosis treated with sirolimus

OBJECTIVES: We aimed to study sirolimus-related lung parenchymal changes by quantitative analysis of computed tomography (CT) of the lungs in patients with lymphangioleiomyomatosis (LAM). METHODS: We studied 20 participants from the Multicenter Lymphangioleiomyomatosis Sirolimus Trial for Safety stu...

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Autores principales: Ko, Yuki, Asakawa, Katsuaki, Tobino, Kazunori, Oguma, Tsuyoshi, Hirai, Toyohiro, Takada, Toshinori, Takahashi, Kazuhisa, Seyama, Kuniaki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7011043/
https://www.ncbi.nlm.nih.gov/pubmed/32072050
http://dx.doi.org/10.1016/j.heliyon.2020.e03345
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author Ko, Yuki
Asakawa, Katsuaki
Tobino, Kazunori
Oguma, Tsuyoshi
Hirai, Toyohiro
Takada, Toshinori
Takahashi, Kazuhisa
Seyama, Kuniaki
author_facet Ko, Yuki
Asakawa, Katsuaki
Tobino, Kazunori
Oguma, Tsuyoshi
Hirai, Toyohiro
Takada, Toshinori
Takahashi, Kazuhisa
Seyama, Kuniaki
author_sort Ko, Yuki
collection PubMed
description OBJECTIVES: We aimed to study sirolimus-related lung parenchymal changes by quantitative analysis of computed tomography (CT) of the lungs in patients with lymphangioleiomyomatosis (LAM). METHODS: We studied 20 participants from the Multicenter Lymphangioleiomyomatosis Sirolimus Trial for Safety study, who had undergone both thin-section CT scans and pulmonary function tests at baseline, 12, and 24 months. Quantitative CT parameters such as CT-derived total lung capacity, percentage of low attenuation area (LAA%), lung density histogram, fractal property of low attenuation area, and airway dimensions were analyzed, and correlations were conducted between the longitudinal change in each quantitative CT measurement and changes in pulmonary function were examined. Among 20 participants, pre-trial (n = 8) and post-trial (n = 16) CT data were also analyzed to deduce pathophysiologic implications of the serial changes in CT parameters during trial periods. RESULTS: FEV(1) significantly increased from baseline to 24 months (slope 3.71 ± 1.50 ml/month) whereas FVC didn't during sirolimus therapy. Strikingly, LAA%, and skewness and kurtosis of density histogram significantly increased from baseline to 24 months, while mean and mode CT values significantly decreased from baseline to 24 months. Statistically significant positive correlations were found between ΔFEV(1) and Δskewness (r = 0.465, p = 0.045). Taking the changes in lung density during pre-trial period into consideration, sirolimus decreases the area of -800 to -750 Housefield unit (HU) density and inhibits the decrease of -950 to -800 HU area during treatment, then producing the increased LAA% during the trial and post-trial periods. Given few sirolimus-related changes in airway dimensions, possible changes in lung mechanics may have contributed to increased FEV(1). CONCLUSION: Our study suggests that the lung density histogram parameters, kurtosis, and skewness, may be useful as indicators of the efficacy of sirolimus.
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spelling pubmed-70110432020-02-18 Quantitative analysis of computed tomography of the lungs in patients with lymphangioleiomyomatosis treated with sirolimus Ko, Yuki Asakawa, Katsuaki Tobino, Kazunori Oguma, Tsuyoshi Hirai, Toyohiro Takada, Toshinori Takahashi, Kazuhisa Seyama, Kuniaki Heliyon Article OBJECTIVES: We aimed to study sirolimus-related lung parenchymal changes by quantitative analysis of computed tomography (CT) of the lungs in patients with lymphangioleiomyomatosis (LAM). METHODS: We studied 20 participants from the Multicenter Lymphangioleiomyomatosis Sirolimus Trial for Safety study, who had undergone both thin-section CT scans and pulmonary function tests at baseline, 12, and 24 months. Quantitative CT parameters such as CT-derived total lung capacity, percentage of low attenuation area (LAA%), lung density histogram, fractal property of low attenuation area, and airway dimensions were analyzed, and correlations were conducted between the longitudinal change in each quantitative CT measurement and changes in pulmonary function were examined. Among 20 participants, pre-trial (n = 8) and post-trial (n = 16) CT data were also analyzed to deduce pathophysiologic implications of the serial changes in CT parameters during trial periods. RESULTS: FEV(1) significantly increased from baseline to 24 months (slope 3.71 ± 1.50 ml/month) whereas FVC didn't during sirolimus therapy. Strikingly, LAA%, and skewness and kurtosis of density histogram significantly increased from baseline to 24 months, while mean and mode CT values significantly decreased from baseline to 24 months. Statistically significant positive correlations were found between ΔFEV(1) and Δskewness (r = 0.465, p = 0.045). Taking the changes in lung density during pre-trial period into consideration, sirolimus decreases the area of -800 to -750 Housefield unit (HU) density and inhibits the decrease of -950 to -800 HU area during treatment, then producing the increased LAA% during the trial and post-trial periods. Given few sirolimus-related changes in airway dimensions, possible changes in lung mechanics may have contributed to increased FEV(1). CONCLUSION: Our study suggests that the lung density histogram parameters, kurtosis, and skewness, may be useful as indicators of the efficacy of sirolimus. Elsevier 2020-02-06 /pmc/articles/PMC7011043/ /pubmed/32072050 http://dx.doi.org/10.1016/j.heliyon.2020.e03345 Text en © 2020 Published by Elsevier Ltd. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Ko, Yuki
Asakawa, Katsuaki
Tobino, Kazunori
Oguma, Tsuyoshi
Hirai, Toyohiro
Takada, Toshinori
Takahashi, Kazuhisa
Seyama, Kuniaki
Quantitative analysis of computed tomography of the lungs in patients with lymphangioleiomyomatosis treated with sirolimus
title Quantitative analysis of computed tomography of the lungs in patients with lymphangioleiomyomatosis treated with sirolimus
title_full Quantitative analysis of computed tomography of the lungs in patients with lymphangioleiomyomatosis treated with sirolimus
title_fullStr Quantitative analysis of computed tomography of the lungs in patients with lymphangioleiomyomatosis treated with sirolimus
title_full_unstemmed Quantitative analysis of computed tomography of the lungs in patients with lymphangioleiomyomatosis treated with sirolimus
title_short Quantitative analysis of computed tomography of the lungs in patients with lymphangioleiomyomatosis treated with sirolimus
title_sort quantitative analysis of computed tomography of the lungs in patients with lymphangioleiomyomatosis treated with sirolimus
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7011043/
https://www.ncbi.nlm.nih.gov/pubmed/32072050
http://dx.doi.org/10.1016/j.heliyon.2020.e03345
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