ArticleRadiology2017
The Effect of Contrast Material on Radiation Dose at CT: Part II. A Systematic Evaluation across 58 Patient Models.
Article in Radiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.
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Who cites it
36 citing papers in PubMed, 1 synthesis or guideline pooled it, 82 citations in OpenAlex.
- Diagnostic Accuracy of Non-Contrast CT for Acute Appendicitis in the Emergency Department: A Systematic Review and Meta-Analysis.Medicina (Kaunas, Lithuania) · 2025Pooled it
- Enabling in vivo imaging in low-resource settings: Computed tomography imaging of gold-loaded polymersomes for the detection of glioblastoma.Bioengineering & translational medicine · 2026Article
- Contrast-specific conversion factor for accurate radiation dose estimation in contrast-enhanced abdominal computed tomography.Journal of clinical imaging science · 2026Article
- Impact of contrast enhancement boost and super-resolution deep learning reconstruction on pediatric congenital heart disease CTA scans: ultra-low contrast dose.BMC medical imaging · 2025Article
- Effect of Deep Learning Image Reconstruction on Image Quality and Pericoronary Fat Attenuation Index.Journal of imaging informatics in medicine · 2025Article
- Survey of CT radiation doses and iodinated contrast medium administration: an international multicentric study.European radiology · 2025Article
- Performance evaluation of a 4D similarity filter for dynamic CT angiography imaging of the liver.Medical physics · 2024Article
- Pediatric contrast-enhanced chest CT on a photon-counting detector CT: radiation dose and image quality compared to energy-integrated detector CT.Pediatric radiology · 2024Observational
- Time conditioning for arbitrary contrast phase generation in interventional computed tomography.Physics in medicine and biology · 2024Article
- Chief complaints and computed tomography results in the emergency department: a three-year retrospective cohort study.BMC emergency medicine · 2024Article
- Influence of Body Mass Index on Radiation Exposure Across Imaging Modalities in the Evaluation of Chest Pain.Journal of the American Heart Association · 2024Article
- Surface-based anthropomorphic bone structures for use in high-resolution simulated medical imaging.Physics in medicine and biology · 2023Article
- Multi-phase synthetic contrast enhancement in interventional computed tomography for guiding renal cryotherapy.International journal of computer assisted radiology and surgery · 2023Article
- Estimating cardiac output from coronary CT angiography: an individualized compartment model in comparison to the Stewart-Hamilton method.Frontiers in cardiovascular medicine · 2023Article
- Biphasic split-bolus injection protocol for routine contrast-enhanced chest CT: comparison with conventional early-phase single bolus technique.The British journal of radiology · 2022Article
- Anatomically and physiologically informed computational model of hepatic contrast perfusion for virtual imaging trials.Medical physics · 2022Article
- Optimization of contrast material administration for coronary CT angiography using a software-based test-bolus evaluation algorithm.The British journal of radiology · 2022Article
- Contrast Medium Use in Computed Tomography for Patients Presenting with Headache: 4-year Retrospective Two-Center Study in Central and Western Regions of Ghana.Radiology research and practice · 2022Article
- Relationship between Dilution Magnification of Non-Ionic Iodinated Contrast Medium and Amplification Effect of Radiation Dose.Journal of neuroendovascular therapy · 2022Article
- Potential increase in radiation-induced DNA double-strand breaks with higher doses of iodine contrast during coronary CT angiography.Medical physics · 2021Article
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6 authors at 1 institution in 1 country.
Funding
Abstract
Purpose To estimate the radiation dose as a result of contrast medium administration in a typical abdominal computed tomographic (CT) examination across a library of contrast material-enhanced computational patient models. Materials and Methods In part II of this study, first, the technique described in part I of this study was applied to enhance the extended cardiac-torso models with patient-specific iodine-time profiles reflecting the administration of contrast material. Second, the patient models were deployed to assess the patient-specific organ dose as a function of time in a typical abdominal CT examination using Monte Carlo simulation. In this hypothesis-generating study, organ dose refers to the total energy deposited in the unit mass of the tissue inclusive of iodine. Third, a study was performed as a strategy to anticipate the biologically relevant dose (absorbed dose to tissue) in highly perfused organs such as the liver and kidney. The time-varying organ-dose increment values relative to those for unenhanced CT examinations were reported. Results The results from the patient models subjected to the injection protocol indicated up to a total 53%, 30%, 35%, 54%, 27%, 18%, 17%, and 24% increase in radiation dose delivered to the heart, spleen, liver, kidneys, stomach, colon, small intestine, and pancreas, respectively. The biologically relevant dose increase with respect to the dose at an unenhanced CT examination was in the range of 0%-18% increase for the liver and 27% for the kidney across 58 patient models. Conclusion The administration of contrast medium increases the total radiation dose. However, radiation dose, while relevant to be included in estimating the risk associated with contrast-enhanced CT, may still not fully characterize the total biologic effects. Therefore, given the fact that many CT diagnostic decisions would be impossible without the use of iodine, this study suggests the need to consider the effect of iodinated contrast material on the organ doses to patients undergoing CT studies when designing CT protocols.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.