Dose reduction for CT in children with cystic fibrosis: is it feasible to reduce the number of images per scan?

Pim A de Jong, Yasutaka Nakano, Maarten H Lequin, Harm A W M Tiddens

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

BACKGROUND: Reducing the dose for each CT scan is important for children with cystic fibrosis (CF).

OBJECTIVE: To determine whether the number of CT images and therefore the dose per CT scan could be reduced without any significant loss of information in children with CF.

MATERIALS AND METHODS: A cohort of children with CF was followed with biennial surveillance CT scans, obtained in inspiration after a voluntary breath-hold as 1-mm thick images at 10-mm intervals from lung apex to base. A random set of 20 baseline CT scans and 10 follow-up CT scans were blinded. Sets of every image (10-mm intervals), every second image (20-mm intervals), every third image (30-mm intervals) and a selection of three and five images were scored randomly using a published CT scoring system by one experienced observer.

RESULTS: The 20 subjects were 10 years of age with a range of 3.7-17.6 years at baseline. Fewer CT images resulted in a significantly lower (less abnormal) CT score and the number of patients positive for abnormalities decreased subsequently. At intervals greater than 20 mm no significant change in CT score over 2 years could be detected, while the CT scores at 10-mm (P=0.02) and 20-mm (P=0.02) intervals worsened significantly.

CONCLUSIONS: A reduction in the number of inspiratory CT images by increasing the interval between images to greater than 10 mm is not a valid option for radiation dose reduction in children with CF.

Original languageEnglish
Pages (from-to)50-3
Number of pages4
JournalPediatric Radiology
Volume36
Issue number1
DOIs
Publication statusPublished - Jan 2006
Externally publishedYes

Keywords

  • Adolescent
  • Child
  • Child, Preschool
  • Cystic Fibrosis
  • Feasibility Studies
  • Humans
  • Radiation Dosage
  • Radiation Protection
  • Radiographic Image Enhancement
  • Tomography, X-Ray Computed
  • Journal Article

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