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

J Comput Assist Tomogr. 2006 Mar-Apr;30(2):244-9. doi: 10.1097/00004728-200603000-00014.

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.

MeSH terms

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