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Normalized emphysema scores on low dose CT: Validation as an imaging biomarker for mortality
The purpose of this study is to develop a computed tomography (CT) biomarker of emphysema that is robust across reconstruction settings, and evaluate its ability to predict mortality in patients at high risk for lung cancer. Data included baseline CT scans acquired between August 2002 and April 2004...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5724850/ https://www.ncbi.nlm.nih.gov/pubmed/29227997 http://dx.doi.org/10.1371/journal.pone.0188902 |
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author | Gallardo-Estrella, Leticia Pompe, Esther de Jong, Pim A. Jacobs, Colin van Rikxoort, Eva M. Prokop, Mathias Sánchez, Clara I. van Ginneken, Bram |
author_facet | Gallardo-Estrella, Leticia Pompe, Esther de Jong, Pim A. Jacobs, Colin van Rikxoort, Eva M. Prokop, Mathias Sánchez, Clara I. van Ginneken, Bram |
author_sort | Gallardo-Estrella, Leticia |
collection | PubMed |
description | The purpose of this study is to develop a computed tomography (CT) biomarker of emphysema that is robust across reconstruction settings, and evaluate its ability to predict mortality in patients at high risk for lung cancer. Data included baseline CT scans acquired between August 2002 and April 2004 from 1737 deceased subjects and 5740 surviving controls taken from the National Lung Screening Trial. Emphysema scores were computed in the original scans (origES) and after applying resampling, normalization and bullae analysis (normES). We compared the prognostic value of normES versus origES for lung cancer and all-cause mortality by computing the area under the receiver operator characteristic curve (AUC) and the net reclassification improvement (NRI) for follow-up times of 1–7 years. normES was a better predictor of mortality than origES. The 95% confidence intervals for the differences in AUC values indicated a significant difference for all-cause mortality for 2 through 6 years of follow-up, and for lung cancer mortality for 1 through 7 years of follow-up. 95% confidence intervals in NRI values showed a statistically significant improvement in classification for all-cause mortality for 2 through 7 years of follow-up, and for lung cancer mortality for 3 through 7 years of follow-up. Contrary to conventional emphysema score, our normalized emphysema score is a good predictor of all-cause and lung cancer mortality in settings where multiple CT scanners and protocols are used. |
format | Online Article Text |
id | pubmed-5724850 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-57248502017-12-15 Normalized emphysema scores on low dose CT: Validation as an imaging biomarker for mortality Gallardo-Estrella, Leticia Pompe, Esther de Jong, Pim A. Jacobs, Colin van Rikxoort, Eva M. Prokop, Mathias Sánchez, Clara I. van Ginneken, Bram PLoS One Research Article The purpose of this study is to develop a computed tomography (CT) biomarker of emphysema that is robust across reconstruction settings, and evaluate its ability to predict mortality in patients at high risk for lung cancer. Data included baseline CT scans acquired between August 2002 and April 2004 from 1737 deceased subjects and 5740 surviving controls taken from the National Lung Screening Trial. Emphysema scores were computed in the original scans (origES) and after applying resampling, normalization and bullae analysis (normES). We compared the prognostic value of normES versus origES for lung cancer and all-cause mortality by computing the area under the receiver operator characteristic curve (AUC) and the net reclassification improvement (NRI) for follow-up times of 1–7 years. normES was a better predictor of mortality than origES. The 95% confidence intervals for the differences in AUC values indicated a significant difference for all-cause mortality for 2 through 6 years of follow-up, and for lung cancer mortality for 1 through 7 years of follow-up. 95% confidence intervals in NRI values showed a statistically significant improvement in classification for all-cause mortality for 2 through 7 years of follow-up, and for lung cancer mortality for 3 through 7 years of follow-up. Contrary to conventional emphysema score, our normalized emphysema score is a good predictor of all-cause and lung cancer mortality in settings where multiple CT scanners and protocols are used. Public Library of Science 2017-12-11 /pmc/articles/PMC5724850/ /pubmed/29227997 http://dx.doi.org/10.1371/journal.pone.0188902 Text en © 2017 Gallardo-Estrella et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Gallardo-Estrella, Leticia Pompe, Esther de Jong, Pim A. Jacobs, Colin van Rikxoort, Eva M. Prokop, Mathias Sánchez, Clara I. van Ginneken, Bram Normalized emphysema scores on low dose CT: Validation as an imaging biomarker for mortality |
title | Normalized emphysema scores on low dose CT: Validation as an imaging biomarker for mortality |
title_full | Normalized emphysema scores on low dose CT: Validation as an imaging biomarker for mortality |
title_fullStr | Normalized emphysema scores on low dose CT: Validation as an imaging biomarker for mortality |
title_full_unstemmed | Normalized emphysema scores on low dose CT: Validation as an imaging biomarker for mortality |
title_short | Normalized emphysema scores on low dose CT: Validation as an imaging biomarker for mortality |
title_sort | normalized emphysema scores on low dose ct: validation as an imaging biomarker for mortality |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5724850/ https://www.ncbi.nlm.nih.gov/pubmed/29227997 http://dx.doi.org/10.1371/journal.pone.0188902 |
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