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Pediatric chest and abdominopelvic CT: organ dose estimation based on 42 patient models.

Publication ,  Journal Article
Tian, X; Li, X; Segars, WP; Paulson, EK; Frush, DP; Samei, E
Published in: Radiology
February 2014

PURPOSE: To estimate organ dose from pediatric chest and abdominopelvic computed tomography (CT) examinations and evaluate the dependency of organ dose coefficients on patient size and CT scanner models. MATERIALS AND METHODS: The institutional review board approved this HIPAA-compliant study and did not require informed patient consent. A validated Monte Carlo program was used to perform simulations in 42 pediatric patient models (age range, 0-16 years; weight range, 2-80 kg; 24 boys, 18 girls). Multidetector CT scanners were modeled on those from two commercial manufacturers (LightSpeed VCT, GE Healthcare, Waukesha, Wis; SOMATOM Definition Flash, Siemens Healthcare, Forchheim, Germany). Organ doses were estimated for each patient model for routine chest and abdominopelvic examinations and were normalized by volume CT dose index (CTDI(vol)). The relationships between CTDI(vol)-normalized organ dose coefficients and average patient diameters were evaluated across scanner models. RESULTS: For organs within the image coverage, CTDI(vol)-normalized organ dose coefficients largely showed a strong exponential relationship with the average patient diameter (R(2) > 0.9). The average percentage differences between the two scanner models were generally within 10%. For distributed organs and organs on the periphery of or outside the image coverage, the differences were generally larger (average, 3%-32%) mainly because of the effect of overranging. CONCLUSION: It is feasible to estimate patient-specific organ dose for a given examination with the knowledge of patient size and the CTDI(vol). These CTDI(vol)-normalized organ dose coefficients enable one to readily estimate patient-specific organ dose for pediatric patients in clinical settings. This dose information, and, as appropriate, attendant risk estimations, can provide more substantive information for the individual patient for both clinical and research applications and can yield more expansive information on dose profiles across patient populations within a practice.

Duke Scholars

Published In

Radiology

DOI

EISSN

1527-1315

Publication Date

February 2014

Volume

270

Issue

2

Start / End Page

535 / 547

Location

United States

Related Subject Headings

  • Retrospective Studies
  • Radiography, Thoracic
  • Radiography, Abdominal
  • Radiation Dosage
  • Nuclear Medicine & Medical Imaging
  • Multidetector Computed Tomography
  • Monte Carlo Method
  • Male
  • Infant, Newborn
  • Infant
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Tian, X., Li, X., Segars, W. P., Paulson, E. K., Frush, D. P., & Samei, E. (2014). Pediatric chest and abdominopelvic CT: organ dose estimation based on 42 patient models. Radiology, 270(2), 535–547. https://doi.org/10.1148/radiol.13122617
Tian, Xiaoyu, Xiang Li, W Paul Segars, Erik K. Paulson, Donald P. Frush, and Ehsan Samei. “Pediatric chest and abdominopelvic CT: organ dose estimation based on 42 patient models.Radiology 270, no. 2 (February 2014): 535–47. https://doi.org/10.1148/radiol.13122617.
Tian X, Li X, Segars WP, Paulson EK, Frush DP, Samei E. Pediatric chest and abdominopelvic CT: organ dose estimation based on 42 patient models. Radiology. 2014 Feb;270(2):535–47.
Tian, Xiaoyu, et al. “Pediatric chest and abdominopelvic CT: organ dose estimation based on 42 patient models.Radiology, vol. 270, no. 2, Feb. 2014, pp. 535–47. Pubmed, doi:10.1148/radiol.13122617.
Tian X, Li X, Segars WP, Paulson EK, Frush DP, Samei E. Pediatric chest and abdominopelvic CT: organ dose estimation based on 42 patient models. Radiology. 2014 Feb;270(2):535–547.

Published In

Radiology

DOI

EISSN

1527-1315

Publication Date

February 2014

Volume

270

Issue

2

Start / End Page

535 / 547

Location

United States

Related Subject Headings

  • Retrospective Studies
  • Radiography, Thoracic
  • Radiography, Abdominal
  • Radiation Dosage
  • Nuclear Medicine & Medical Imaging
  • Multidetector Computed Tomography
  • Monte Carlo Method
  • Male
  • Infant, Newborn
  • Infant