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Simulation of liver lesions for pediatric CT.

Publication ,  Journal Article
Hoe, CL; Samei, E; Frush, DP; Delong, DM
Published in: Radiology
February 2006

PURPOSE: To develop and validate a technique based on characteristics of real lesions for simulating realistic small liver lesions on pediatric computed tomographic (CT) images. MATERIALS AND METHODS: The institutional review board provided exempt status for this study, determined that it was not subject to HIPAA compliance, and did not require informed consent. Patient identification information was removed from clinical images from contrast material-enhanced multi-detector row CT examinations performed in 10 children. Patients were infants or children up to 18 years old. Information about sex was not available. Children had one or more liver lesions of 2-6 mm in maximum transverse diameter. Images with more than one lesion were rendered multiple times, and each time, all but one of the lesions were digitally removed in sequence. This process provided images (n = 19) with a single real lesion. For consistency, the same image backgrounds (images with all real lesions removed) were used to create an identical number of images (n = 19), each with a single simulated lesion. Subsequently, three radiologists independently assessed images of real and simulated lesions that were presented in random order with a score on a continuous scale of 0 (definitely simulated) to 100 (definitely real). Mixed-model analysis of variance was used to test the null hypothesis that the difference in population mean scores between the two lesion types was zero. RESULTS: The observer study did not reveal a significant difference in the ability of any radiologist to discriminate between real and simulated lesions (P > .31). The differences in mean scores for discrimination between real and simulated lesions for the three observers were -6, 9, and -7, respectively. The estimated overall difference was -1. CONCLUSION: Mathematic simulation of liver lesions is a feasible technique for creating realistic lesions for image quality or dose reduction studies in pediatric CT.

Duke Scholars

Published In

Radiology

DOI

ISSN

0033-8419

Publication Date

February 2006

Volume

238

Issue

2

Start / End Page

699 / 705

Location

United States

Related Subject Headings

  • Tomography, X-Ray Computed
  • Phantoms, Imaging
  • Nuclear Medicine & Medical Imaging
  • Liver Diseases
  • Infant
  • Humans
  • Computer Simulation
  • Child, Preschool
  • Child
  • Adolescent
 

Citation

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Chicago
ICMJE
MLA
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Hoe, C. L., Samei, E., Frush, D. P., & Delong, D. M. (2006). Simulation of liver lesions for pediatric CT. Radiology, 238(2), 699–705. https://doi.org/10.1148/radiol.2381050477
Hoe, Chee L., Ehsan Samei, Donald P. Frush, and David M. Delong. “Simulation of liver lesions for pediatric CT.Radiology 238, no. 2 (February 2006): 699–705. https://doi.org/10.1148/radiol.2381050477.
Hoe CL, Samei E, Frush DP, Delong DM. Simulation of liver lesions for pediatric CT. Radiology. 2006 Feb;238(2):699–705.
Hoe, Chee L., et al. “Simulation of liver lesions for pediatric CT.Radiology, vol. 238, no. 2, Feb. 2006, pp. 699–705. Pubmed, doi:10.1148/radiol.2381050477.
Hoe CL, Samei E, Frush DP, Delong DM. Simulation of liver lesions for pediatric CT. Radiology. 2006 Feb;238(2):699–705.
Journal cover image

Published In

Radiology

DOI

ISSN

0033-8419

Publication Date

February 2006

Volume

238

Issue

2

Start / End Page

699 / 705

Location

United States

Related Subject Headings

  • Tomography, X-Ray Computed
  • Phantoms, Imaging
  • Nuclear Medicine & Medical Imaging
  • Liver Diseases
  • Infant
  • Humans
  • Computer Simulation
  • Child, Preschool
  • Child
  • Adolescent