Cited by 43Radiation Dose and ImagingAdvanced Radiotherapy TechniquesDigital Radiography and Breast Imaging

The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.

The role of Size-Specific Dose Estimate (SSDE) in patient-specific organ dose and cancer risk estimation in paediatric chest and abdominopelvic CT examinations

Abstract

Objectives To develop a clinically applicable method to estimate patient-specific organ and blood doses and lifetime attributable risks (LAR) from paediatric torso CT examinations.Methods Individualized voxel models were created from full-body CT data of 10 paediatric patients (2-18 years). Patient-specific dose distributions of chest and abdominopelvic CT scans were simulated using Monte Carlo methods. Blood dose was calculated as a weighted sum of simulated organ doses. LAR of cancer incidence and mortality were estimated, according to BEIR-VII. A second simulation and blood dose calculation was performed using only the thoracic and abdominopelvic region of the original voxel models. For each simulation, the size-specific dose estimate (SSDE) was calculated.Results SSDE showed a significant strong linear correlation with organ dose (r > 0.8) and blood dose (r > 0.9) and LAR (r > 0.9). No significant differences were found between blood dose calculations with the full-body voxel models and the thoracic or abdominopelvic models.Conclusion Even though clinical CT images mostly do not cover the whole body of the patient, they can be used as a voxel model for blood dose calculation. In addition, SSDE can estimate patient-specific organ and blood doses and LAR in paediatric torso CT examinations.Key points • Blood dose can be simulated using the patient's clinical CT images. • SSDE estimates patient-specific organ/blood dose and LAR in paediatric CAP CT-examinations. • SSDE makes on-the-spot dose and LAR estimations possible in routine clinical practice.

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Crossref · 10.1007/s00330-015-4091-7

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Research works printed but not linked: 4

  1. UNSCEAR (2008) Sources and effects of ionizing radiation. Report to the General Assembly of the United Nations. United Nations, New York
  2. UNSCEAR (2013) Sources and effects of ionizing radiation. Report to the General Assembly of the United Nations. United Nations, New York
  3. Schmidt B, Kalender WA (2002) A fast voxel-based Monte Carlo method for scanner- and patient-specific dose calculations in computed tomography. Phys Med 18:43–53
  4. Council N (2006) Health risks from exposure to low levels of ionizing radiation: BEIR VII phase 2. The National Academies Press

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Metadata

Authors
Franck, C., Vandevoorde, C., Goethals, I., Smeets, P., Achten, E., Verstraete, K., Thierens, H., & Bacher, K.
Affiliations
  • Ghent University (BE)
  • Ghent University Hospital (BE)
Corresponding author
Franck, Caro
Venue
European Radiology
Published
2015-12-15
Volume
26
Issue
8
Pages
2646-2655
ISSN
  • 0938-7994 (ISSN-L)
  • 1432-1084
OpenAlex
W2201769046
Cited by
43
References
40
Citations by year
2026: 5 · 2025: 7 · 2024: 7 · 2023: 1 · 2022: 1 · 2021: 7 · 2020: 3 · 2019: 1 · 2018: 4 · 2017: 5 · 2016: 2
FWCI
2.98
Type
journal article
Language
en
Open access
closed
Locations
  • European Radiology (publishedVersion)
  • PubMed (publishedVersion)
  • Ghent University Academic Bibliography (Ghent University) (submittedVersion)
Funders
Agentschap voor Innovatie door Wetenschap en Technologie (121663)
Topics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiation Dose and Imaging
  • Physical Sciences › Physics and Astronomy › Radiation › Advanced Radiotherapy Techniques
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Digital Radiography and Breast Imaging
Keywords
size-specific dose estimate, pediatric CT, organ dose, lifetime attributable risk, cancer risk assessment, voxel model, Monte Carlo dose simulation, chest CT, abdominopelvic CT, BEIR VII, radiation dose assessment
MeSH terms
Abdomen, Adolescent, Child, Child, Preschool, Computer Simulation, Female, Humans, Male, Models, Theoretical, Monte Carlo Method, Neoplasms, Radiation-Induced, Pelvis, Radiation Dosage, Thorax, Tomography, X-Ray Computed, Organs at Risk

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