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Characterizing imaging radiation risk in a population of 8918 patients with recurrent imaging for a better effective dose.

Publication ,  Journal Article
Ria, F; Rehani, MM; Samei, E
Published in: Sci Rep
March 14, 2024

An updated extension of effective dose was recently introduced, namely relative effective dose ( E r ), incorporating age and sex factors. In this study we extended E r application to a population of about 9000 patients who underwent multiple CT imaging exams, and we compared it with other commonly used radiation protection metrics in terms of their correlation with radiation risk. Using Monte Carlo methods, E r , dose-length-product based effective dose ( E DLP ), organ-dose based effective dose ( E OD ), and organ-dose based risk index ( RI ) were calculated for each patient. Each metric's dependency to RI was assessed in terms of its sensitivity and specificity. E r showed the best sensitivity, specificity, and agreement with RI (R2 = 0.97); while E DLP yielded the lowest specificity and, along with E OD , the lowest sensitivity. Compared to other metrics, E r provided a closer representation of patient and group risk also incorporating age and sex factors within the established framework of effective dose.

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Published In

Sci Rep

DOI

EISSN

2045-2322

Publication Date

March 14, 2024

Volume

14

Issue

1

Start / End Page

6240

Location

England

Related Subject Headings

  • Tomography, X-Ray Computed
  • Radiation Protection
  • Radiation Dosage
  • Phantoms, Imaging
  • Monte Carlo Method
  • Humans
 

Citation

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Ria, F., Rehani, M. M., & Samei, E. (2024). Characterizing imaging radiation risk in a population of 8918 patients with recurrent imaging for a better effective dose. Sci Rep, 14(1), 6240. https://doi.org/10.1038/s41598-024-56516-1
Ria, Francesco, Madan M. Rehani, and Ehsan Samei. “Characterizing imaging radiation risk in a population of 8918 patients with recurrent imaging for a better effective dose.Sci Rep 14, no. 1 (March 14, 2024): 6240. https://doi.org/10.1038/s41598-024-56516-1.
Ria, Francesco, et al. “Characterizing imaging radiation risk in a population of 8918 patients with recurrent imaging for a better effective dose.Sci Rep, vol. 14, no. 1, Mar. 2024, p. 6240. Pubmed, doi:10.1038/s41598-024-56516-1.

Published In

Sci Rep

DOI

EISSN

2045-2322

Publication Date

March 14, 2024

Volume

14

Issue

1

Start / End Page

6240

Location

England

Related Subject Headings

  • Tomography, X-Ray Computed
  • Radiation Protection
  • Radiation Dosage
  • Phantoms, Imaging
  • Monte Carlo Method
  • Humans