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

  • H. Y
  • M.-J. K
  • C.-S. Y
 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 < 0.01) with a greater than 57% dose reduction in overweight children. Image noise was higher in the ASIR group in both normal weight and overweight children. Only one scan in the ASIR group (1/40, 2.5%) was rated as diagnostically suboptimal and there was no unacceptable study. 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. © 2014, Springer-Verlag Berlin Heidelberg.

Author-supplied keywords

  • Chest
  • Child
  • Ionizing radiation
  • Multidetector computed tomography
  • Overweight

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  • Yoon H.

  • Kim M.-J.

  • Yoon C.-S.

  • Choi J.

  • Shin H.J.

  • Kim H.G.

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