Literature DB >> 32585442

Optimal threshold in low-dose CT quantification of emphysema.

Xianxian Cao1, Chenwang Jin2, Tao Tan3, Youmin Guo1.   

Abstract

OBJECTIVE: Low-dose CT is now widely used in the screening of lung cancer and the detection of pulmonary nodules. There has also been increasing interest in using Low-dose CT for evaluating emphysema. In conventional dose CT, the threshold of -950HU is a common threshold for density-based emphysema quantification for worldwide population. However, the optimal threshold for assessing emphysema at low-dose CT has not been determined. The purpose of this study is to determine the optimal threshold for low-dose CT quantification of emphysema for Chinese population.
MATERIALS AND METHODS: In this study, 548 low-dose chest CT examinations acquired from different subjects (119 none, 49 mild, 163 moderate, 152 severe, and 65 very severe obstruction) are collected. At the level of the entire lung and individual lobes, the extent of emphysema was quantified by the percentage of the low attenuation area (LAA%) at a wide range of thresholds from -850HU to -1000HU. Both Pearson and Spearman's rank correlation coefficients were used to assess the correlations between 1) LAA% and pulmonary functions and 2) LAA% and the five-category classification. The statistical significance of the difference between correlation coefficients were evaluated using Steiger'Z test.
RESULTS: LAA% had a good correlation with both pulmonary function (|r| = 0.1-0.600, p < 0.001) and the five-category classification (r = 0.163-0.602, p < 0.001) in both the entire lung and individual lobes under different thresholds. The highest correlation coefficient is obtained at -940HU instead of -950HU.
CONCLUSION: Low-dose CT can be used for quantitative assessment of emphysema, and the threshold of -940HU is a suitable threshold for quantifying emphysema in low-dose CT images for Chinese population.
Copyright © 2020. Published by Elsevier B.V.

Entities:  

Keywords:  Chronic obstructive pulmonary disease; Emphysema; Low-dose computed tomography; Quantitative threshold

Mesh:

Year:  2020        PMID: 32585442     DOI: 10.1016/j.ejrad.2020.109094

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  2 in total

1.  Predefined and data driven CT densitometric features predict critical illness and hospital length of stay in COVID-19 patients.

Authors:  Tamar Shalmon; Pascal Salazar; Miho Horie; Kate Hanneman; Mini Pakkal; Vahid Anwari; Jennifer Fratesi
Journal:  Sci Rep       Date:  2022-05-17       Impact factor: 4.996

Review 2.  [Pulmonary Emphysema: Visual Interpretation and Quantitative Analysis].

Authors:  Jihang Kim
Journal:  Taehan Yongsang Uihakhoe Chi       Date:  2021-07-26
  2 in total

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