Combined prospectively electrocardiography- and respiratory-triggered sequential cardiac computed tomography in free-breathing children: success rate and image quality View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-07

AUTHORS

Hyun Woo Goo

ABSTRACT

BACKGROUND: Combined prospectively electrocardiography (ECG)- and respiratory-triggered sequential cardiac computed tomography (CT) has not been evaluated in free-breathing children. OBJECTIVE: To evaluate the success rate and image quality of combined prospectively ECG- and respiratory-triggered sequential cardiac CT in free-breathing children. MATERIALS AND METHODS: Image quality of combined prospectively ECG- and respiratory-triggered sequential cardiac CT in 870 children (≤5 years of age) was evaluated in terms of severe motion (maximal distance ≥2 mm) and band artifacts (maximal attenuation difference ≥100 Hounsfield units). The success rate of the scan mode was calculated. The causes of failed cases were assessed. Patient-related, radiation and image quality parameters were compared between success and failure groups. RESULTS: Severe motion artifacts were observed in 10.6% (92/870) of patients due to cardiac phase error in 17 (18.5%), patient motion in 12 (13.0%), and unknown causes in 63 (68.5%). Severe band artifacts were seen in 13.2% (115/870) of patients. Combined prospectively ECG- and respiratory-triggered sequential cardiac CT was successfully performed in 78.5% (683/870) of patients, while it failed in 21.5% (187/870). All the evaluated patient-related, radiation and image quality parameters were significantly different (P≤0.001) between success and failure groups except effective dose (P>0.05). CONCLUSION: Additional prospective respiratory triggering can reduce motion artifacts in prospectively ECG-triggered sequential cardiac CT in free-breathing children. More... »

PAGES

923-931

References to SciGraph publications

  • 2012-10. Initial experience on the application of 320-row CT angiography with low-dose prospective ECG-triggered in children with congenital heart disease in THE INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING
  • 2010-02. Retrospective versus prospective ECG-gated dual-source CT in pediatric patients with congenital heart diseases: comparison of image quality and radiation dose in THE INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING
  • 2006-04. Tube current reduction in pediatric non-ECG-gated heart CT by combined tube current modulation in PEDIATRIC RADIOLOGY
  • 2017-12. Serial changes in anatomy and ventricular function on dual-source cardiac computed tomography after the Norwood procedure for hypoplastic left heart syndrome in PEDIATRIC RADIOLOGY
  • 2012-10. Accuracy, image quality and radiation dose comparison of high-pitch spiral and sequential acquisition on 128-slice dual-source CT angiography in children with congenital heart disease in EUROPEAN RADIOLOGY
  • 2017-07. Asian consortium on radiation dose of pediatric cardiac CT (ASCI-REDCARD) in PEDIATRIC RADIOLOGY
  • 2015-12. Semiautomatic three-dimensional CT ventricular volumetry in patients with congenital heart disease: agreement between two methods with different user interaction in THE INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING
  • 2010-10. Coronary artery visibility in free-breathing young children with congenital heart disease on cardiac 64-slice CT: dual-source ECG-triggered sequential scan vs. single-source non-ECG-synchronized spiral scan in PEDIATRIC RADIOLOGY
  • 2018-02. Identification of coronary artery anatomy on dual-source cardiac computed tomography before arterial switch operation in newborns and young infants: comparison with transthoracic echocardiography in PEDIATRIC RADIOLOGY
  • 2009-03. Coronary artery anomalies and clinically important anatomy in patients with congenital heart disease: multislice CT findings in PEDIATRIC RADIOLOGY
  • 2011-07. Individualized volume CT dose index determined by cross-sectional area and mean density of the body to achieve uniform image noise of contrast-enhanced pediatric chest CT obtained at variable kV levels and with combined tube current modulation in PEDIATRIC RADIOLOGY
  • Identifiers

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    http://scigraph.springernature.com/pub.10.1007/s00247-018-4114-z

    DOI

    http://dx.doi.org/10.1007/s00247-018-4114-z

    DIMENSIONS

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    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/29589058


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    44 schema:description BACKGROUND: Combined prospectively electrocardiography (ECG)- and respiratory-triggered sequential cardiac computed tomography (CT) has not been evaluated in free-breathing children. OBJECTIVE: To evaluate the success rate and image quality of combined prospectively ECG- and respiratory-triggered sequential cardiac CT in free-breathing children. MATERIALS AND METHODS: Image quality of combined prospectively ECG- and respiratory-triggered sequential cardiac CT in 870 children (≤5 years of age) was evaluated in terms of severe motion (maximal distance ≥2 mm) and band artifacts (maximal attenuation difference ≥100 Hounsfield units). The success rate of the scan mode was calculated. The causes of failed cases were assessed. Patient-related, radiation and image quality parameters were compared between success and failure groups. RESULTS: Severe motion artifacts were observed in 10.6% (92/870) of patients due to cardiac phase error in 17 (18.5%), patient motion in 12 (13.0%), and unknown causes in 63 (68.5%). Severe band artifacts were seen in 13.2% (115/870) of patients. Combined prospectively ECG- and respiratory-triggered sequential cardiac CT was successfully performed in 78.5% (683/870) of patients, while it failed in 21.5% (187/870). All the evaluated patient-related, radiation and image quality parameters were significantly different (P≤0.001) between success and failure groups except effective dose (P>0.05). CONCLUSION: Additional prospective respiratory triggering can reduce motion artifacts in prospectively ECG-triggered sequential cardiac CT in free-breathing children.
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