Coronary artery visibility in free-breathing young children with congenital heart disease on cardiac 64-slice CT: dual-source ECG-triggered sequential scan vs. ... View Full Text


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Article Info

DATE

2010-10

AUTHORS

Hyun Woo Goo, Dong Hyun Yang

ABSTRACT

BACKGROUND: The potential impact of dual-source ECG-triggered sequential CT scan on coronary artery visibility has not been evaluated in free-breathing young children. OBJECTIVE: To compare coronary artery visibility in free-breathing young children with congenital heart disease on cardiac 64-slice CT between dual-source ECG-triggered sequential (DSET) scan and single-source non-ECG-synchronized spiral (SSNE) scan. MATERIALS AND METHODS: In 93 young children, 108 cardiac 64-slice CT examinations were performed during free-breathing. Visibility of coronary arteries and side branches was compared between SSNE and DSET scans. Heart rates and trigger delays for DSET scan were recorded. Effective dose of each scan technique was calculated. RESULTS: Visual grades were significantly higher (P<0.001 or =0.011) on DSET scan than on SSNE scan except for the distal left anterior descending artery. Coronary arteries were traceable in 79.3% on DSET scan and 54.3% on SSNE scan in the overlapped scan range (P<0.0001), and 97.1% and 71.9% for the origins and proximal segments (P<0.0001). Visibility of side branches was improved on DSET scan by a factor of 2.0. Heart rates and trigger delays for DSET scan were 131±24 beats per min and 199±44 ms, respectively. Effective doses of DSET and SSNE scans were 0.36±0.12 mSv and 0.99±0.23 mSv, respectively. CONCLUSION: DSET scan improves visibility of coronary arteries on cardiac 64-slice CT in free-breathing young children with congenital heart disease, compared with SSNE scan. More... »

PAGES

1670-1680

References to SciGraph publications

  • 2008-09. Low kilovoltage cardiac dual-source CT: attenuation, noise, and radiation dose in EUROPEAN RADIOLOGY
  • 2007-08. Visualization of neonatal coronary arteries on multidetector row CT: ECG-gated versus non-ECG-gated technique in PEDIATRIC RADIOLOGY
  • 2006-04. Tube current reduction in pediatric non-ECG-gated heart CT by combined tube current modulation in PEDIATRIC RADIOLOGY
  • 2009-03. Coronary Events and Anatomy After Arterial Switch Operation for Transposition of the Great Arteries: Detection by 16-Row Multislice Computed Tomography Angiography in Pediatric Patients in CARDIOVASCULAR AND INTERVENTIONAL RADIOLOGY
  • 2005-04. Computed tomography for the diagnosis of congenital heart disease in pediatric and adult patients in THE INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING
  • 2009-07. Evaluation of image quality and radiation dose of thoracic and coronary dual-source CT in 110 infants with congenital heart disease in PEDIATRIC RADIOLOGY
  • 2006-07. Coronary CT angiography and MR angiography of Kawasaki disease in PEDIATRIC RADIOLOGY
  • 2006-08. The influences of tube voltage and scan direction on combined tube current modulation: a phantom study in PEDIATRIC RADIOLOGY
  • 2010-05. Radiation exposure and image quality in staged low-dose protocols for coronary dual-source CT angiography: a randomized comparison in EUROPEAN RADIOLOGY
  • 2008. Computed Tomography in Congenital Heart Disease in RADIOLOGICAL IMAGING OF THE NEONATAL CHEST
  • 2005-08. Visibility of the origin and proximal course of coronary arteries on non-ECG-gated heart CT in patients with congenital heart disease in PEDIATRIC RADIOLOGY
  • 2009-03. Coronary artery anomalies and clinically important anatomy in patients with congenital heart disease: multislice CT findings in PEDIATRIC RADIOLOGY
  • 2007-10. Visualization of coronary arteries in patients after childhood Kawasaki syndrome: value of multidetector CT and MR imaging in comparison to conventional coronary catheterization in PEDIATRIC RADIOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00247-010-1693-8

    DOI

    http://dx.doi.org/10.1007/s00247-010-1693-8

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1023823805

    PUBMED

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