Radiation dose and image quality in pediatric chest CT: effects of iterative reconstruction in normal weight and overweight children.

  • Yoon H
  • Kim M
  • Yoon C
 et al. 
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BACKGROUND: New CT reconstruction techniques may help reduce the burden of ionizing radiation.

OBJECTIVE: To quantify radiation dose reduction when performing pediatric chest CT using a low-dose protocol and 50% adaptive statistical iterative reconstruction (ASIR) compared with age/gender-matched chest CT using a conventional dose protocol and reconstructed with filtered back projection (control group) and to determine its effect on image quality in normal weight and overweight children.

MATERIALS AND METHODS: We retrospectively reviewed 40 pediatric chest CT (M:F = 21:19; range: 0.1-17 years) in both groups. Radiation dose was compared between the two groups using paired Student's t-test. Image quality including noise, sharpness, artifacts and diagnostic acceptability was subjectively assessed by three pediatric radiologists using a four-point scale (superior, average, suboptimal, unacceptable).

RESULTS: Eight children in the ASIR group and seven in the control group were overweight. All radiation dose parameters were significantly lower in the ASIR group (P 
CONCLUSION: In both normal weight and overweight children, the ASIR technique is associated with a greater than 57% mean dose reduction, without significantly impacting diagnostic image quality in pediatric chest CT examinations. However, CT scans in overweight children may have a greater noise level, even when using the ASIR technique.

Author-supplied keywords

  • Adolescent
  • Child
  • Child, Preschool
  • Female
  • Humans
  • Infant
  • Male
  • Multidetector Computed Tomography
  • Multidetector Computed Tomography: methods
  • Overweight
  • Overweight: radiography
  • Radiation Dosage
  • Radiographic Image Interpretation, Computer-Assist
  • Radiography, Thoracic
  • Radiography, Thoracic: methods
  • Retrospective Studies

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  • Haesung Yoon

  • Myung-Joon Kim

  • Choon-Sik Yoon

  • Jiin Choi

  • Hyun Joo Shin

  • Hyun Gi Kim

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