2009
DOI: 10.1183/09031936.00087508
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Evaluation of allergic lung inflammation by computed tomography in a rat model in vivo

Abstract: The ability of micro-computed tomography (CT) to noninvasively evaluate allergic pulmonary inflammation 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 Norway rats were exposed to one of four doses of house dust mite (HDM) extract (0, 0.15, 15 or 150 mg) delivered intratracheally every 24 h for 10 days. CT scanning was performed at baseline and after several longitudinal HDM exposures… Show more

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Cited by 20 publications
(13 citation statements)
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“…Adiposity was determined using CT scanning after 20 weeks of feeding as described previously (69). Briefly, mice were anesthetized with isoflurane gas, and images were acquired on an X-SPECT (Gamma Medica) within the McMaster Centre for Pre-Clinical and Translational Imaging.…”
Section: Methodsmentioning
confidence: 99%
“…Adiposity was determined using CT scanning after 20 weeks of feeding as described previously (69). Briefly, mice were anesthetized with isoflurane gas, and images were acquired on an X-SPECT (Gamma Medica) within the McMaster Centre for Pre-Clinical and Translational Imaging.…”
Section: Methodsmentioning
confidence: 99%
“…Jobse et al performed a longitudinal study on a rat model of allergic inflammation [15], using retrospective gating and semiautomatic image quantification. Ask et al looked at a model of pulmonary fibrosis using nongated acquisition and semiautomatic image quantification [10].…”
Section: Introductionmentioning
confidence: 99%
“…It is noteworthy that the fluid signals detected by MRI correlated significantly with the perivascular edema assessed by histology (Tigani et al, 2003a;Blé et al, 2008). Micro-CT also has been used to quantify edema in a rat model of allergic lung inflammation (Jobse et al, 2009). Fig.…”
Section: Imaging In Respiratory Diseases: From Animal Models To Patientsmentioning
confidence: 99%