ArticleScientific reports2020
Individual Calculation of Effective Dose and Risk of Malignancy Based on Monte Carlo Simulations after Whole Body Computed Tomography.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- Establishment of local diagnostic reference levels for trunk computed tomography examinations at governmental hospitals in the Gaza Strip: a cross-sectional study.Radiological physics and technology · 2026Article
- Impact of low-energy virtual monoenergetic imaging in photon-counting CT for pre-TAVI pelvic arteries visualization.La Radiologia medica · 2026Article
- Diagnostic CT organ dose estimation in whole-body PET/CT examinations-comparison of a patient-specific monte carlo approach and a computational phantom-based CT dosimetry tool.EJNMMI physics · 2025Article
- Automated Measurement of Effective Radiation Dose byTomography (Ann Arbor, Mich.) · 2024Article
- Multicentric study of patients receiving 50 or 100 mSv in a single day through CT imaging-frequency determination and imaging protocols involved.European radiology · 2021Article
- Cutting Staff Radiation Exposure and Improving Freedom of Motion during CT Interventions: Comparison of a Novel Workflow Utilizing a Radiation Protection Cabin versus Two Conventional Workflows.Diagnostics (Basel, Switzerland) · 2021Article
- Structured Digital Self-Assessment of Patient Anamnesis Prior to Computed Tomography: Performance Evaluation and Added Value.Journal of medical systems · 2021Article
- Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Detailed knowledge about radiation exposure is crucial for radiology professionals. The conventional calculation of effective dose (ED) for computed tomography (CT) is based on dose length product (DLP) and population-based conversion factors (k). This is often imprecise and unable to consider individual patient characteristics. We sought to provide more precise and individual radiation exposure calculation using image based Monte Carlo simulations (MC) in a heterogeneous patient collective and to compare it to phantom based MC provided from the National Cancer Institute (NCI) as academic reference. Dose distributions were simulated for 22 patients after whole-body CT during Positron Emission Tomography-CT. Based on MC we calculated individual Lifetime Attributable Risk (LAR) and Excess Relative Risk (ERR) of cancer mortality. ED
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