Literature DB >> 20501716

Collateral ventilation in a canine model with bronchial obstruction: assessment with xenon-enhanced dual-energy CT.

Eun Jin Chae1, Joon Beom Seo, Namkug Kim, Koun-Sik Song, Ji Hoon Shin, Tae-Hyung Kim, Yedaun Lee.   

Abstract

PURPOSE: To determine the feasibility of the use of xenon-enhanced dynamic dual-energy computed tomography (CT) for visualization and quantitative assessment of collateral ventilation in a canine model with bronchial obstruction.
MATERIALS AND METHODS: This study was approved by the institutional animal care and use committee. One segmental bronchus was occluded in nine dogs (weight range, 20-25 kg). Dynamic dual-energy CT scanning was performed by using dual-source CT during the wash-in-washout study of xenon inhalation via mechanical ventilation. Imaging parameters were 14 x 1.2-mm collimation, 40 mAs (effective) at 140 kV and 170 mAs (effective) at 80 kV, pitch of 0.45, and 0.33-second rotation time. By using dual-energy software, CT images and xenon maps were reconstructed. CT attenuation values were measured in the airways proximal to obstruction (AW(PROX)) and airways distal to obstruction (AW(DIST)) and at the parenchyma with patent airways (P(PATE)) and parenchyma with obstructed airways (P(OBST)). CT attenuation values on dynamic xenon maps were plotted with exponential function; ventilation parameters, including velocity of ventilation (K value), magnitude of ventilation (A value), and time of arrival (TOA), were calculated on the basis of the Kety model.
RESULTS: In all animals, delayed and weaker xenon enhancement was identified at the airway and parenchyma distal to obstruction. For the A value, in the wash-in study, the differences between AW(PROX) and AW(DIST) and between P(PATE) and P(OBST) were significant (71.80 and 57.64, P = .05; 51.86 and 37.52 HU, P = .02). The K value of P(OBST) was lower than that of P(PATE) in the wash-in study (0.006 and 0 .010, P = .06). Mean and standard deviation for TOA were observed in the following increasing order: AW(PROX) ([3.50 +/- 7.70] x 10(-6) sec), P(PATE) (4.58 +/- 2.83), AW(DIST) (9.20 +/- 6.87), and P(OBST) (21.00 +/- 13.44).
CONCLUSION: Collateral ventilation in a canine model with bronchial obstruction can be quantitatively assessed by using xenon-enhanced dynamic dual-energy CT. Copyright RSNA, 2010

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Year:  2010        PMID: 20501716     DOI: 10.1148/radiol.10090947

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  7 in total

Review 1.  Dual-energy lung perfusion and ventilation CT in children.

Authors:  Hyun Woo Goo
Journal:  Pediatr Radiol       Date:  2013-02-16

2.  Automatic left and right lung separation using free-formed surface fitting on volumetric CT.

Authors:  Youn Joo Lee; Minho Lee; Namkug Kim; Joon Beom Seo; Joo Young Park
Journal:  J Digit Imaging       Date:  2014-08       Impact factor: 4.056

3.  Redistributed regional ventilation after the administration of a bronchodilator demonstrated on xenon-inhaled dual-energy CT in a patient with asthma.

Authors:  Hyun Woo Goo; Jinho Yu
Journal:  Korean J Radiol       Date:  2011-04-25       Impact factor: 3.500

4.  Optimization of dual-energy xenon-computed tomography for quantitative assessment of regional pulmonary ventilation.

Authors:  Matthew K Fuld; Ahmed F Halaweish; John D Newell; Bernhard Krauss; Eric A Hoffman
Journal:  Invest Radiol       Date:  2013-09       Impact factor: 6.016

5.  Collateral ventilation to congenital hyperlucent lung lesions assessed on xenon-enhanced dynamic dual-energy CT: an initial experience.

Authors:  Hyun Woo Goo; Dong Hyun Yang; Namkug Kim; Seung Il Park; Dong Kwan Kim; Ellen Ai-Rhan Kim
Journal:  Korean J Radiol       Date:  2011-01-03       Impact factor: 3.500

6.  Collateral Ventilation Quantification Using Xenon-Enhanced Dynamic Dual-Energy CT: Differences between Canine and Swine Models of Bronchial Occlusion.

Authors:  Eun-Ah Park; Jin Mo Goo; Sang Joon Park; Chang Hyun Lee; Chang Min Park
Journal:  Korean J Radiol       Date:  2015-05-13       Impact factor: 3.500

7.  Computer-aided classification of visual ventilation patterns in patients with chronic obstructive pulmonary disease at two-phase xenon-enhanced CT.

Authors:  Soon Ho Yoon; Jin Mo Goo; Julip Jung; Helen Hong; Eun Ah Park; Chang Hyun Lee; Youkyung Lee; Kwang Nam Jin; Ji Yung Choo; Nyoung Keun Lee
Journal:  Korean J Radiol       Date:  2014-04-29       Impact factor: 3.500

  7 in total

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