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Normalized emphysema scores on low dose CT: Validation as an imaging biomarker for mortality

Author

Listed:
  • Leticia Gallardo-Estrella
  • Esther Pompe
  • Pim A de Jong
  • Colin Jacobs
  • Eva M van Rikxoort
  • Mathias Prokop
  • Clara I Sánchez
  • Bram van Ginneken

Abstract

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.

Suggested Citation

  • Leticia Gallardo-Estrella & Esther Pompe & Pim A de Jong & Colin Jacobs & Eva M van Rikxoort & Mathias Prokop & Clara I Sánchez & Bram van Ginneken, 2017. "Normalized emphysema scores on low dose CT: Validation as an imaging biomarker for mortality," PLOS ONE, Public Library of Science, vol. 12(12), pages 1-12, December.
  • Handle: RePEc:plo:pone00:0188902
    DOI: 10.1371/journal.pone.0188902
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    References listed on IDEAS

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    1. Zheng, Yingye & Cai, Tianxi & Pepe, Margaret S. & Levy, Wayne C., 2008. "Time-Dependent Predictive Values of Prognostic Biomarkers With Failure Time Outcome," Journal of the American Statistical Association, American Statistical Association, vol. 103, pages 362-368, March.
    2. Dandan Liu & Tianxi Cai & Yingye Zheng, 2012. "Evaluating the Predictive Value of Biomarkers with Stratified Case-Cohort Design," Biometrics, The International Biometric Society, vol. 68(4), pages 1219-1227, December.
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