Quantitative analysis for computed tomography findings of various diffuse lung diseases using volume histogram analysis.

Abstract

OBJECTIVES:

: The aim of this study was to achieve the quantitative analysis of the characteristic computed tomography (CT) findings and course of interstitial pneumonia using the volume histogram method.

METHODS:

: Contrast (CNT), variance (VAR), and entropy (EPY) values from whole-lung volume data were compared between normal lungs and 5 diseases that have characteristic CT findings. Thirteen cases with nonspecific interstitial pneumonia (NSIP) were evaluated before and after treatment.

RESULTS:

: In cases with thickening of the bronchovascular bundles and interlobular thickening, ground-glass attenuation, airspace consolidation, and honeycombing, the values of VAR and EPY were greater than those in the normal cases (P < 0.05). In the cases with NSIP, the CNT value after treatment was significantly greater and the values of VAR and EPY after treatment were significantly lower than those before treatment (P < 0.05).

CONCLUSIONS:

: Volume histogram analysis is a promising method for the evaluation of diffuse lung diseases and the effectiveness of treatment.

• Authors: Hiromitsu Sumikawa, Takeshi Johkoh, Shuji Yamamoto, Kazunari Takahei, Takashi Ueguchi, Yuji Ogata, Mitsuhiro Matsumoto, Yuka Fujita, Javzandulam Natsag, Atsuo Inoue, Mitsuko Tsubamoto, Naoki Mihara, Osamu Honda, Noriyuki Tomiyama, Seiki Hamada, Hironobu Nakamura
• Journal: Journal of computer assisted tomography (J Comput Assist Tomogr) 2006 Mar-Apr Vol. 30 Issue 2 Pg. 244-9 ISSN: 0363-8715 [Print] United States
• PMID: 16628040 (Publication Type: Journal Article)

Topics

• Adolescent
• Adult
• Aged
• Aged, 80 and over
• Female
• Humans
• Image Processing, Computer-Assisted
• Lung Diseases, Interstitial (diagnostic imaging, pathology, therapy)
• Male
• Middle Aged
• Reproducibility of Results
• Statistics, Nonparametric
• Tomography, X-Ray Computed (methods)
• Treatment Outcome