Literature DB >> 34162782

Optimal placement of the region of interest for bolus tracking on brain computed tomography angiography in Beagle dogs.

Sieun Park1, Min Jang2, Kija Lee2, Hojung Choi3, Youngwon Lee3, Inchul Park1, Sooyoung Choi1.   

Abstract

This study aimed to determine the optimal placement of the region of interest (ROI) among four anatomical sites─pulmonary artery (PA), pulmonary vein (PV), aortic arch (AA), and carotid artery (CA)─in computed tomography (CT) brain angiography with automatic bolus tracking in healthy beagle dogs. Six beagles were included, and CT brain angiography was performed four times for each dog, to cover each ROI. The scan parameters, amount, and injection rate of the contrast medium were the same. The major intracranial arteries were selected for quantitative and qualitative evaluation: caudal cerebellar artery (CcA), basilar artery (BA), rostral cerebellar artery (RcA), caudal cerebral artery (CCA), middle cerebral artery (MCA), and rostral cerebral artery (RCA). Quantitative evaluation showed significantly higher CT attenuation values for the RcA, CCA, and MCA in the PA group and RcA and MCA in the PV group than in the CA group. Qualitative analysis revealed significantly higher scores for the BA, CCA, and MCA in the PA and PV groups than in the CA group. Venous contamination did not differ significantly among the ROIs, but the mean scores of the AA and CA groups were higher than those of the PA and PV groups. CT brain angiography using bolus tracking in the beagle dogs showed that the ROI should be placed at the PA or PV rather than at the CA for optimal images with strong contrast enhancement of the BA, RcA, CCA, and MCA and minimal venous contamination.

Entities:  

Keywords:  bolus tracking; brain angiography; computed tomography; dog; region of interest placement

Year:  2021        PMID: 34162782     DOI: 10.1292/jvms.20-0724

Source DB:  PubMed          Journal:  J Vet Med Sci        ISSN: 0916-7250            Impact factor:   1.267


  1 in total

1.  Potential role of bolus-tracking data of carotid CT angiography for atrial fibrillation prediction.

Authors:  Joon Hyuk Song; Dougho Park; Yong-Suk Jeong; Ji Kang Park
Journal:  Eur Radiol       Date:  2022-08-13       Impact factor: 7.034

  1 in total

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