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Predicting Respiratory Complications Following Lobectomy Using Quantitative CT Measures of Emphysema
PURPOSE: In performing surgery for lung cancer, emphysema is a risk factor related to postoperative respiratory complications (PRC). However, few studies have addressed the risk of radiological emphysematous volume affecting PRC. The aim of this study was to investigate the relationship between emph...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8428273/ https://www.ncbi.nlm.nih.gov/pubmed/34511897 http://dx.doi.org/10.2147/COPD.S321541 |
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author | Kitazawa, Shinsuke Wijesinghe, Ashoka Indranatha Maki, Naoki Yanagihara, Takahiro Saeki, Yusuke Kobayashi, Naohiro Kikuchi, Shinji Goto, Yukinobu Ichimura, Hideo Sato, Yukio |
author_facet | Kitazawa, Shinsuke Wijesinghe, Ashoka Indranatha Maki, Naoki Yanagihara, Takahiro Saeki, Yusuke Kobayashi, Naohiro Kikuchi, Shinji Goto, Yukinobu Ichimura, Hideo Sato, Yukio |
author_sort | Kitazawa, Shinsuke |
collection | PubMed |
description | PURPOSE: In performing surgery for lung cancer, emphysema is a risk factor related to postoperative respiratory complications (PRC). However, few studies have addressed the risk of radiological emphysematous volume affecting PRC. The aim of this study was to investigate the relationship between emphysematous volume as measured on 3-dimensional computed tomography and PRC. PATIENTS AND METHODS: We reviewed 342 lung cancer patients undergoing lobectomy between 2013 and 2018. The percentage of low attenuation area (LAA%) was defined as the percentage of the lung area showing attenuation of −950 Hounsfield units or lower. Preoperative factors including age, sex, body mass index, smoking index, respiratory function, tumour histology, and LAA% were evaluated. PRC included pneumonia, atelectasis, prolonged air leakage, empyema, hypoxia, ischemic bronchitis, bronchopleural fistula, and exacerbation of interstitial pneumonia. Uni- and multivariable analyses were performed to investigate the relationship between independent clinical variables and postoperative adverse events. RESULTS: Median LAA% was 5.0% (range, 0–40%) and PRC was observed in 50 patients (14.6%). Patients who presented with PRC showed significantly high LAA% compared to those without complications (median: 8.1% vs 3.8%; p < 0.001). Based on univariable analysis, age, sex, smoking index, percentage of forced expiratory volume in 1 s (FEV(1.0)%), histology, and LAA% were significant predictors for PRC. Multivariable analysis revealed higher LAA% as a significant risk factor for PRC (odds ratio = 1.040; 95% confidence interval, 1.001–1.080; p = 0.046). CONCLUSION: In addition to respiratory function with spirometry, LAA% can be used as a predictor of PRC. |
format | Online Article Text |
id | pubmed-8428273 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-84282732021-09-10 Predicting Respiratory Complications Following Lobectomy Using Quantitative CT Measures of Emphysema Kitazawa, Shinsuke Wijesinghe, Ashoka Indranatha Maki, Naoki Yanagihara, Takahiro Saeki, Yusuke Kobayashi, Naohiro Kikuchi, Shinji Goto, Yukinobu Ichimura, Hideo Sato, Yukio Int J Chron Obstruct Pulmon Dis Original Research PURPOSE: In performing surgery for lung cancer, emphysema is a risk factor related to postoperative respiratory complications (PRC). However, few studies have addressed the risk of radiological emphysematous volume affecting PRC. The aim of this study was to investigate the relationship between emphysematous volume as measured on 3-dimensional computed tomography and PRC. PATIENTS AND METHODS: We reviewed 342 lung cancer patients undergoing lobectomy between 2013 and 2018. The percentage of low attenuation area (LAA%) was defined as the percentage of the lung area showing attenuation of −950 Hounsfield units or lower. Preoperative factors including age, sex, body mass index, smoking index, respiratory function, tumour histology, and LAA% were evaluated. PRC included pneumonia, atelectasis, prolonged air leakage, empyema, hypoxia, ischemic bronchitis, bronchopleural fistula, and exacerbation of interstitial pneumonia. Uni- and multivariable analyses were performed to investigate the relationship between independent clinical variables and postoperative adverse events. RESULTS: Median LAA% was 5.0% (range, 0–40%) and PRC was observed in 50 patients (14.6%). Patients who presented with PRC showed significantly high LAA% compared to those without complications (median: 8.1% vs 3.8%; p < 0.001). Based on univariable analysis, age, sex, smoking index, percentage of forced expiratory volume in 1 s (FEV(1.0)%), histology, and LAA% were significant predictors for PRC. Multivariable analysis revealed higher LAA% as a significant risk factor for PRC (odds ratio = 1.040; 95% confidence interval, 1.001–1.080; p = 0.046). CONCLUSION: In addition to respiratory function with spirometry, LAA% can be used as a predictor of PRC. Dove 2021-09-04 /pmc/articles/PMC8428273/ /pubmed/34511897 http://dx.doi.org/10.2147/COPD.S321541 Text en © 2021 Kitazawa et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Kitazawa, Shinsuke Wijesinghe, Ashoka Indranatha Maki, Naoki Yanagihara, Takahiro Saeki, Yusuke Kobayashi, Naohiro Kikuchi, Shinji Goto, Yukinobu Ichimura, Hideo Sato, Yukio Predicting Respiratory Complications Following Lobectomy Using Quantitative CT Measures of Emphysema |
title | Predicting Respiratory Complications Following Lobectomy Using Quantitative CT Measures of Emphysema |
title_full | Predicting Respiratory Complications Following Lobectomy Using Quantitative CT Measures of Emphysema |
title_fullStr | Predicting Respiratory Complications Following Lobectomy Using Quantitative CT Measures of Emphysema |
title_full_unstemmed | Predicting Respiratory Complications Following Lobectomy Using Quantitative CT Measures of Emphysema |
title_short | Predicting Respiratory Complications Following Lobectomy Using Quantitative CT Measures of Emphysema |
title_sort | predicting respiratory complications following lobectomy using quantitative ct measures of emphysema |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8428273/ https://www.ncbi.nlm.nih.gov/pubmed/34511897 http://dx.doi.org/10.2147/COPD.S321541 |
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