Optimal threshold in low-dose CT quantification of emphysema

被引:7
|
作者
Cao, Xianxian [1 ]
Jin, Chenwang [1 ]
Tan, Tao [2 ]
Guo, Youmin [1 ]
机构
[1] Xi An Jiao Tong Univ, Dept Med Imaging, Affiliated Hosp 1, Xian 710061, Peoples R China
[2] Eindhoven Univ Technol, Dept Math & Comp Sci, Eindhoven, Netherlands
基金
美国国家卫生研究院;
关键词
Chronic obstructive pulmonary disease; Low-dose computed tomography; Emphysema; Quantitative threshold; COMPUTED DENSITY; LUNG; MORPHOMETRY; PROTOCOLS;
D O I
10.1016/j.ejrad.2020.109094
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
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 (vertical bar r vertical bar = 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.
引用
收藏
页数:7
相关论文
共 50 条
  • [1] Comparison of Biophysical Factors Influencing on Emphysema Quantification with Low-dose CT
    Heo, Chang Yong
    Kim, Jong Hyo
    MEDICAL IMAGING 2014: COMPUTER-AIDED DIAGNOSIS, 2014, 9035
  • [2] Optimal threshold in CT quantification of emphysema
    Zhimin Wang
    Suicheng Gu
    Joseph K. Leader
    Shinjini Kundu
    John R. Tedrow
    Frank C. Sciurba
    David Gur
    Jill M. Siegfried
    Jiantao Pu
    European Radiology, 2013, 23 : 975 - 984
  • [3] Optimal threshold in CT quantification of emphysema
    Wang, Zhimin
    Gu, Suicheng
    Leader, Joseph K.
    Kundu, Shinjini
    Tedrow, John R.
    Sciurba, Frank C.
    Gur, David
    Siegfried, Jill M.
    Pu, Jiantao
    EUROPEAN RADIOLOGY, 2013, 23 (04) : 975 - 984
  • [4] Detecting airway remodeling in COPD and emphysema using low-dose CT imaging
    Rudyanto, R.
    Ceresa, M.
    Munoz-Barrutia, A.
    Ortiz-de-Solorzano, C.
    MEDICAL IMAGING 2012: COMPUTER-AIDED DIAGNOSIS, 2012, 8315
  • [5] Emphysema Quantification by Low-Dose CT: Potential Impact of Adaptive Iterative Dose Reduction Using 3D Processing
    Nishio, Mizuho
    Matsumoto, Sumiaki
    Ohno, Yoshiharu
    Sugihara, Naoki
    Inokawa, Hiroyasu
    Yoshikawa, Takeshi
    Sugimura, Kazuro
    AMERICAN JOURNAL OF ROENTGENOLOGY, 2012, 199 (03) : 595 - 601
  • [6] Repeated Low-Dose Computed Tomography in Current and Former Smokers for Quantification of Emphysema
    McGregor, Alexander
    Roberts, Heidi C.
    Dong, Zhi
    Menezes, Ravi
    Kauczor, Hans-Ulrich
    Weinheimer, Oliver
    Heussel, Claus Peter
    JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 2010, 34 (06) : 933 - 938
  • [7] Volumetric assessment of emphysema on low-dose screening CT scans
    Kostis, WJ
    Fluture, SC
    Farooqi, AO
    Yankelevitz, DF
    Henschke, CI
    MEDICAL IMAGING 2003: IMAGE PROCESSING, PTS 1-3, 2003, 5032 : 827 - 834
  • [8] Effects of CT Section Thickness and Reconstruction Kernel on Emphysema Quantification: Relationship to the Magnitude of the CT Emphysema Index
    Gierada, David S.
    Bierhals, Andrew J.
    Choong, Cliff K.
    Bartel, Seth T.
    Ritter, Jon H.
    Das, Nitin A.
    Hong, Cheng
    Pilgram, Thomas K.
    Bae, Kyongtae T.
    Whiting, Bruce R.
    Woods, Jason C.
    Hogg, James C.
    Lutey, Barbara A.
    Battafarano, Richard J.
    Cooper, Joel D.
    Meyers, Bryan F.
    Patterson, G. Alexander
    ACADEMIC RADIOLOGY, 2010, 17 (02) : 146 - 156
  • [9] Pulmonary emphysema quantification at low dose chest CT using Deep Learning image reconstruction
    Ferri, Fabrice
    Bouzerar, Roger
    Auquier, Marianne
    Vial, Jeremie
    Renard, Cedric
    EUROPEAN JOURNAL OF RADIOLOGY, 2022, 152
  • [10] Emphysema quantification using low-dose computed tomography with deep learning–based kernel conversion comparison
    So Hyeon Bak
    Jong Hyo Kim
    Hyeongmin Jin
    Sung Ok Kwon
    Bom Kim
    Yoon Ki Cha
    Woo Jin Kim
    European Radiology, 2020, 30 : 6779 - 6787