Patient-specific radiation dose and cancer risk estimation in pediatric chest CT: A study in 30 patients

Published

Conference Paper

Radiation-dose awareness and optimization in CT can greatly benefit from a dose- reporting system that provides radiation dose and cancer risk estimates specific to each patient and each CT examination. Recently, we reported a method for estimating patient- specific dose from pediatric chest CT. The purpose of this study is to extend that effort to patient-specific risk estimation and to a population of pediatric CT patients. Our study included thirty pediatric CT patients (16 males and 14 females; 0-16 years old), for whom full-body computer models were recently created based on the patients' clinical CT data. Using a validated Monte Carlo program, organ dose received by the thirty patients from a chest scan protocol (LightSpeed VCT, 120 kVp, 1.375 pitch, 40-mm collimation, pediatric body scan field-of-view) was simulated and used to estimate patient-specific effective dose. Risks of cancer incidence were calculated for radiosensitive organs using gender-, age-, and tissue-specific risk coefficients and were used to derive patient- specific effective risk. The thirty patients had normalized effective dose of 3.7-10.4 mSv/l00 mAs and normalized effective risk of 0.5-5.8 cases/1000 exposed persons/100 mAs. Normalized lung dose and risk of lung cancer correlated strongly with average chest diameter (correlation coefficient: r = -0.98 to -0.99). Normalized effective risk also correlated strongly with average chest diameter (r = -0.97 to -0.98). These strong correlations can be used to estimate patient-specific dose and risk prior to or after an imaging study to potentially guide healthcare providers in justifying CT examinations and to guide individualized protocol design and optimization. © 2010 SPIE.

Full Text

Duke Authors

Cited Authors

  • Li, X; Samei, E; Segars, WP; Sturgeon, GM; Colsher, JG; Frush, DP

Published Date

  • December 1, 2010

Published In

Volume / Issue

  • 7622 / PART 1

International Standard Serial Number (ISSN)

  • 1605-7422

International Standard Book Number 13 (ISBN-13)

  • 9780819480231

Digital Object Identifier (DOI)

  • 10.1117/12.845491

Citation Source

  • Scopus