Impact of Model-Based Iterative Reconstruction on the Correlation between Computed Tomography Quantification of a Low Lung Attenuation Area and Airway Measurements and Pulmonary Function Test Results in Normal Subjects

被引:2
作者
Kim, Da Jung [1 ]
Kim, Cherry [1 ]
Shin, Chol [2 ]
Lee, Seung Ku [3 ]
Ko, Chang Sub [1 ]
Lee, Ki Yeol [1 ]
机构
[1] Korea Univ, Coll Med, Ansan Hosp, Dept Radiol, 123 Jeokgeum Ro, Ansan 15355, South Korea
[2] Korea Univ, Coll Med, Ansan Hosp, Dept Pulmonol, Ansan 15355, South Korea
[3] Korea Univ, Coll Med, Ansan Hosp, Inst Human Genom Study, Ansan 15355, South Korea
基金
新加坡国家研究基金会;
关键词
Computed tomography; Iterative reconstruction; Pulmonary emphysema; Airway; Pulmonary function test; FILTERED BACK-PROJECTION; DOSE CT; EMPHYSEMA QUANTIFICATION; CHEST CT; RADIATION-EXPOSURE; IMAGE QUALITY; DISEASE;
D O I
10.3348/kjr.2018.19.6.1187
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: To compare correlations between pulmonary function test (PFT) results and different reconstruction algorithms and to suggest the optimal reconstruction protocol for computed tomography (CT) quantification of low lung attenuation areas and airways in healthy individuals. Materials and Methods: A total of 259 subjects with normal PFT and chest CT results were included. CT scans were reconstructed using filtered back projection, hybrid-iterative reconstruction, and model-based IR (MIR). For quantitative analysis, the emphysema index (EI) and wall area percentage (WA%) were determined. Subgroup analysis according to smoking history was also performed. Results: The EIs of all the reconstruction algorithms correlated significantly with the forced expiratory volume in one second (FEV1)/forced vital capacity (FVC) (all p < 0.001). The EI of MIR showed the strongest correlation with FEV1/FVC (r = -0.437). WA% showed a significant correlation with FEV1 in all the reconstruction algorithms (all p < 0.05) correlated significantly with FEV1/FVC for MIR only (p < 0.001). The WA% of MIR showed the strongest correlations with FEV1 (r = -0.205) and FEV1/FVC (r= -0.250). In subgroup analysis, the EI of MIR had the strongest correlation with PFT in both eversmoker and never-smoker subgroups, although there was no significant difference in the EI between the reconstruction algorithms. WA% of MIR showed a significantly thinner airway thickness than the other algorithms (49.7 +/- 7.6 in ever-smokers and 49.5 +/- 7.5 in never-smokers, all p < 0.001), and also showed the strongest correlation with PFT in both ever-smoker and never-smoker subgroups. Conclusion: CT quantification of low lung attenuation areas and airways by means of MIR showed the strongest correlation with PFT results among the algorithms used, in normal subjects.
引用
收藏
页码:1187 / 1195
页数:9
相关论文
共 26 条
  • [1] Emphysema: Effect of reconstruction algorithm on CT imaging measures
    Boedeker, KL
    McNitt-Gray, MF
    Rogers, SR
    Truong, DA
    Brown, MS
    Gjertson, DW
    Goldin, JG
    [J]. RADIOLOGY, 2004, 232 (01) : 295 - 301
  • [2] Current concepts - Computed tomography - An increasing source of radiation exposure
    Brenner, David J.
    Hall, Eric J.
    [J]. NEW ENGLAND JOURNAL OF MEDICINE, 2007, 357 (22) : 2277 - 2284
  • [3] Robust, Standardized Quantification of Pulmonary Emphysema in Low Dose CT Exams
    Ceresa, Mario
    Bastarrika, Gorka
    de Torres, Juan P.
    Montuenga, Luis M.
    Zulueta, Javier J.
    Ortiz-de-Solorzano, Carlos
    Munoz-Barrutia, Arrate
    [J]. ACADEMIC RADIOLOGY, 2011, 18 (11) : 1382 - 1390
  • [4] Correlation of Pulmonary Function Indexes Determined by Low-Dose MDCT With Spirometric Pulmonary Function Tests in Patients With Chronic Obstructive Pulmonary Disease
    Chen, Huai
    Chen, Rong-chang
    Guan, Yu-bao
    Li, Wen
    Liu, Qin
    Zeng, Qing-si
    [J]. AMERICAN JOURNAL OF ROENTGENOLOGY, 2014, 202 (04) : 711 - 718
  • [5] Quantitative analysis of emphysema and airway measurements according to iterative reconstruction algorithms: comparison of filtered back projection, adaptive statistical iterative reconstruction and model-based iterative reconstruction
    Choo, Ji Yung
    Goo, Jin Mo
    Lee, Chang Hyun
    Park, Chang Min
    Park, Sang Joon
    Shim, Mi-Suk
    [J]. EUROPEAN RADIOLOGY, 2014, 24 (04) : 799 - 806
  • [6] State of the Art: Iterative CT Reconstruction Techniques
    Geyer, Lucas L.
    Schoepf, U. Joseph
    Meinel, Felix G.
    Nance, John W., Jr.
    Bastarrika, Gorka
    Leipsic, Jonathon A.
    Paul, Narinder S.
    Rengo, Marco
    Laghi, Andrea
    De Cecco, Carlo N.
    [J]. RADIOLOGY, 2015, 276 (02) : 338 - 356
  • [7] Chronic Obstructive Pulmonary Disease: CT Quantification of Airways Disease
    Hackx, Maxime
    Bankier, Alexander A.
    Gevenois, Pierre Alain
    [J]. RADIOLOGY, 2012, 265 (01) : 34 - 48
  • [8] Iterative Reconstruction Technique for Reducing Body Radiation Dose at CT: Feasibility Study
    Hara, Amy K.
    Paden, Robert G.
    Silva, Alvin C.
    Kujak, Jennifer L.
    Lawder, Holly J.
    Pavlicek, William
    [J]. AMERICAN JOURNAL OF ROENTGENOLOGY, 2009, 193 (03) : 764 - 771
  • [9] Model-Based Iterative Reconstruction Technique for Ultralow-Dose Chest CT Comparison of Pulmonary Nodule Detectability With the Adaptive Statistical Iterative Reconstruction Technique
    Katsura, Masaki
    Matsuda, Izuru
    Akahane, Masaaki
    Yasaka, Koichiro
    Hanaoka, Shohei
    Akai, Hiroyuki
    Sato, Jiro
    Kunimatsu, Akira
    Ohtomo, Kuni
    [J]. INVESTIGATIVE RADIOLOGY, 2013, 48 (04) : 206 - 212
  • [10] CT Quantification of Lungs and Airways in Normal Korean Subjects
    Kim, Song Soo
    Jin, Gong Yong
    Li, Yuan Zhe
    Lee, Jeong Eun
    Shin, Hye Soo
    [J]. KOREAN JOURNAL OF RADIOLOGY, 2017, 18 (04) : 739 - 748