The prediction of small airway dimensions using computed tomography

Yasutaka Nakano, Jonathan C Wong, Pim A de Jong, Lilliana Buzatu, Taishi Nagao, Harvey O Coxson, W Mark Elliott, James C Hogg, Peter D Paré

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Chronic obstructive pulmonary disease is characterized by destruction of the lung parenchyma and/or small airway narrowing. To determine whether the dimensions of relatively large airways assessed using computed tomography (CT) reflect small airway dimensions measured histologically, we assessed these variables in nonobstructed or mild to moderately obstructed patients having lobar resection for a peripheral tumor. For both CT and histology, the square root of the airway wall area (Aaw) was plotted versus lumen perimeter to estimate wall thickness. The wall area percentage was calculated as wall area/lumen area + wall area x 100. Although CT overestimated Aaw, the slopes of the relationships between the square root of Aaw and internal perimeter (Pi) measured with both techniques were related (CT slope = 0.2059 histology slope + 0.1701, R2 = 0.32, p < 0.01). The mean wall area percentage measured by CT for airways with a Pi of greater than 0.75 cm predicted the mean dimensions of the small airways with an internal diameter of 1.27 mm (R2 = 0.57, p < 0.01). We conclude that CT measurements of airways with a Pi of 0.75 cm or more could be used to estimate the dimensions of the small conducting airways, which are the site of airway obstruction in chronic obstructive pulmonary disease.

Original languageEnglish
Pages (from-to)142-6
Number of pages5
JournalAmerican Journal of Respiratory and Critical Care Medicine
Volume171
Issue number2
DOIs
Publication statusPublished - 15 Jan 2005
Externally publishedYes

Keywords

  • Adult
  • Aged
  • Bronchi
  • Female
  • Humans
  • Lung
  • Male
  • Middle Aged
  • Predictive Value of Tests
  • Pulmonary Disease, Chronic Obstructive
  • Pulmonary Emphysema
  • Severity of Illness Index
  • Tomography, X-Ray Computed
  • Journal Article
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, P.H.S.

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