Literature DB >> 9083798

Quantitative assessment of the spatial distribution of low attenuation areas on X-ray CT using texture analysis in patients with chronic pulmonary emphysema.

M Mishima1, Y Oku, K Kawakami, N Sakai, M Fukui, T Hirai, K Chin, M Ohi, K Nishimura, H Itoh, M Tanemura, K Kuno.   

Abstract

An automated and quantitative assessment of the spatial distribution of low attenuation areas (LAA) on X-ray CT was performed using texture analysis in chronic pulmonary emphysema (CPE) patients. LAA was defined as those areas having a density less than the mean minus one SD of the control (-960 HU). The probability of change from non-LAA to LAA between a given pair of pixels with horizontal intervals of i pixels (RNi) was evaluated, because this reflects the interaction between LAA and non-LAA regions with different resolutions. The relationship between the percentage area of the LAA over the total area of the entire lung field (LAA%) was subsequently estimated. The RNi increased sharply as the i value increased from 1 to 5, but then almost became a plateau for i values larger than 5. This suggests that the fundamental structures in the LAA areas ranged from 1 x 1 to 5 x 5 pixels in size. RN1-LAA% and RN5-LAA% plots produced curves which were convex, with peak values at approximately 50 LAA% of 0.09 and 0.18, respectively. In the RN5/RN1-LAA% plot, the RN5/RN1 ratio remained constant at 2.0 regardless of the LAA%. A random process simulation was performed to determine the patterns of LAA proliferation if the spatial distribution of the LAA units was random. When the unit size was kept constant, the results of the simulation did not fit the empirical relationship between the LAA% and the three parameters (RN1, RN5 and RN5/RN1). The simulation provided the best-fitting curves when the unit size of the LAA increased in proportion with the LAA%, starting from a 1 x 1 pixel size increasing at a ratio 1 x 1/(5 LAA%). This suggested that the LAA units do not proliferate randomly in spatial orientation at a fixed unit size, but rather spread throughout the whole lung field in a congregated form whilst increasing their unit size. Thus, it may be concluded that healthy lung tissues near emphysematous lesions have a high probability of suffering from emphysema in the future. This may be due to a direct effect of the neighboring emphysematous lesion or due to a pathologic change in the larger bronchii which dominate both the healthy tissues and the emphysematous lesions.

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Year:  1997        PMID: 9083798

Source DB:  PubMed          Journal:  Front Med Biol Eng        ISSN: 0921-3775


  10 in total

Review 1.  [Imaging of emphysema].

Authors:  C Grosse; A Bankier
Journal:  Radiologe       Date:  2007-05       Impact factor: 0.635

2.  Three-dimensional airway lumen volumetry: comparison with bronchial wall area and parenchymal densitometry in assessment of airway obstruction in pulmonary emphysema.

Authors:  H Koyama; Y Ohno; M Nishio; D Takenaka; T Yoshikawa; S Matsumoto; Y Nishimura; K Sugimura
Journal:  Br J Radiol       Date:  2012-08-29       Impact factor: 3.039

3.  Iterative reconstruction technique vs filter back projection: utility for quantitative bronchial assessment on low-dose thin-section MDCT in patients with/without chronic obstructive pulmonary disease.

Authors:  Hisanobu Koyama; Yoshiharu Ohno; Mizuho Nishio; Sumiaki Matsumoto; Naoki Sugihara; Takeshi Yoshikawa; Shinichiro Seki; Kazuro Sugimura
Journal:  Eur Radiol       Date:  2014-05-17       Impact factor: 5.315

4.  Comparison of low attenuation areas on computed tomographic scans between inner and outer segments of the lung in patients with chronic obstructive pulmonary disease: incidence and contribution to lung function.

Authors:  Y Nakano; H Sakai; S Muro; T Hirai; Y Oku; K Nishimura; M Mishima
Journal:  Thorax       Date:  1999-05       Impact factor: 9.139

5.  Sex differences in severe pulmonary emphysema.

Authors:  Fernando J Martinez; Jeffrey L Curtis; Frank Sciurba; Jeanette Mumford; Nicholas D Giardino; Gail Weinmann; Ella Kazerooni; Susan Murray; Gerard J Criner; Donald D Sin; James Hogg; Andrew L Ries; MeiLan Han; Alfred P Fishman; Barry Make; Eric A Hoffman; Zab Mohsenifar; Robert Wise
Journal:  Am J Respir Crit Care Med       Date:  2007-04-12       Impact factor: 21.405

6.  Predictors of mortality in patients with emphysema and severe airflow obstruction.

Authors:  Fernando J Martinez; Gregory Foster; Jeffrey L Curtis; Gerard Criner; Gail Weinmann; Alfred Fishman; Malcolm M DeCamp; Joshua Benditt; Frank Sciurba; Barry Make; Zab Mohsenifar; Philip Diaz; Eric Hoffman; Robert Wise
Journal:  Am J Respir Crit Care Med       Date:  2006-03-16       Impact factor: 21.405

7.  Genetic determinants of emphysema distribution in the national emphysema treatment trial.

Authors:  Dawn L DeMeo; Craig P Hersh; Eric A Hoffman; Augusto A Litonjua; Ross Lazarus; David Sparrow; Joshua O Benditt; Gerard Criner; Barry Make; Fernando J Martinez; Paul D Scanlon; Frank C Sciurba; James P Utz; John J Reilly; Edwin K Silverman
Journal:  Am J Respir Crit Care Med       Date:  2007-03-15       Impact factor: 21.405

8.  Lobe-based computed tomography assessment of airway diameter, airway or vessel number, and emphysema extent in relation to the clinical outcomes of COPD.

Authors:  Kazuyoshi Kurashima; Yotaro Takaku; Toshiko Hoshi; Tetsu Kanauchi; Keitaro Nakamoto; Noboru Takayanagi; Tsutomu Yanagisawa; Yutaka Sugita; Yoshinori Kawabata
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2015-06-02

9.  Changes in the airway lumen and surrounding parenchyma in chronic obstructive pulmonary disease.

Authors:  Kazuyoshi Kurashima; Toshiko Hoshi; Yotaro Takaku; Tetsu Kanauchi; Keitaro Nakamoto; Miyuki Ueda; Noboru Takayanagi; Thomas V Colby; Yutaka Sugita; Yoshinori Kawabata
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2013-10-30

Review 10.  Variability and Standardization of Quantitative Imaging: Monoparametric to Multiparametric Quantification, Radiomics, and Artificial Intelligence.

Authors:  Akifumi Hagiwara; Shohei Fujita; Yoshiharu Ohno; Shigeki Aoki
Journal:  Invest Radiol       Date:  2020-09       Impact factor: 10.065

  10 in total

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