The ability of micro-computed tomography (CT) to noninvasively evaluate @entity55 in an experimental model was investigated. In addition, two image segmentation methods and the value of respiratory gating were investigated in the context of this model. Brown @entity35 were exposed to one of four doses of house dust mite (HDM) extract (0, 0.15, 15 or 150 microg) delivered intratracheally every 24 h for 10 days. CT scanning was performed at baseline and after several longitudinal HDM exposures. Both thoracic- and lung-segmentation methods yielded similar results when standardisation practices were employed. While tissue histology correlated well with CT images, cell counts from bronchoalveolar lavage depicted greater @entity32 than did density measures from CT images. Evidence from representative CT slices and transaxial density distribution indicated that @entity32 was primarily associated with major airways and extended into the periphery from these focal points. Respiratory gating demonstrated that images of the inspiratory state provided greater contrast of inflammatory processes. Lastly, decreases in tidal volumes indicated significant mechanical respiratory changes in animals exposed to both 15 and 150 microg. In summary, CT image segmentation can extract pertinent data on in vivo allergic airway/ @entity55 . Furthermore, respiratory gating provides additional contrast and insight into these quantification practices.

Evaluation of @entity55 by computed tomography in a XXXX model in vivo.

@entity35 :: ('10116', 'Species') :: ['Norway rats'] @entity32 :: ('MESH:D007249', 'Disease') :: ['inflammation'] @entity55 :: ('MESH:D011014', 'Disease') :: ['lung inflammation', 'allergic pulmonary inflammation']
@entity35 :: (10116,Species) :: ['rat']
