Radiation Exposure Assessment in Medical Imaging

Radiation exposure assessment in medical imaging encompasses the quantification, monitoring and optimisation of patient dose from diagnostic and interventional procedures using ionising radiation. Core elements include the estimation of absorbed doses to individual organs, the calculation of effective dose to approximate stochastic risk and the establishment of diagnostic reference levels to ensure practice consistency and safety. Advances in computational modelling, patient-specific dosimetry and real-time dose tracking enable more precise evaluation of exposure, while international safety standards and clinical guidelines drive dose justification and optimisation. Paediatric and vulnerable populations receive particular attention due to their heightened radiosensitivity and longer lifetime risk horizon. The integration of dose management systems into radiology workflows facilitates cohort analysis and continuous quality improvement. Ongoing research seeks to refine dose metrics, reduce uncertainty in risk estimates and balance clinical benefit against potential harm. Global initiatives, including consensus on dose limits for sensitive organs and the adoption of low-dose imaging protocols, underscore the practical applications of robust exposure assessment in minimising radiation-associated adverse outcomes without compromising diagnostic performance.

Research from Nature Portfolio

Recent studies have strengthened the link between low-dose computed tomography (CT) in childhood and long-term cancer risk. Large multinational cohort analyses have shown that cumulative organ-specific doses from paediatric CT are associated with elevated excess relative risks of haematological malignancies, emphasising the imperative for rigorous justification and dose optimisation in young patients. Parallel work in experimental models has provided a genome-wide characterisation of radiation-induced germline mutations, revealing distinct patterns of single-nucleotide variants, copy-number changes and small insertions or deletions in the offspring of exposed parents. These findings illuminate the molecular signature of unrepaired DNA lesions and offer a mechanistic basis for risk projection across generations, informing both clinical practice and radiological protection policies.

Radiation Exposure Assessment in Medical Imaging publication trend

The graph below shows the total number of articles in radiation exposure assessment in medical imaging across all publications each year (not limited to Nature Index journals).

Technical terms

Ionising radiation: Radiation with sufficient energy to remove tightly bound electrons from atoms, creating ions and potentially causing cellular damage.

Effective dose: A dose metric that accounts for the radiosensitivity of different tissues to estimate the overall stochastic health risk.

Diagnostic reference level (DRL): A benchmark dose used to identify unusually high patient exposures for common imaging protocols and promote optimisation.

Excess relative risk (ERR): The proportional increase in risk per unit of radiation dose above a baseline risk, often used in epidemiological studies.

Patient-specific dosimetry: The process of calculating radiation dose based on individual anatomical and procedural parameters to improve accuracy over standard phantoms.

References

1. Risk of hematological malignancies from CT radiation exposure in children, adolescents and young adults. Nature Medicine (2023).
2. Health Effects of Occupational and Environmental Exposures to Nuclear Power Plants: A Meta-Analysis and Meta-Regression. Current Environmental Health Reports (2024).
3. Association of Exposure to Diagnostic Low-Dose Ionizing Radiation With Risk of Cancer Among Youths in South Korea. JAMA Network Open (2019).
4. The genome-wide effects of ionizing radiation on mutation induction in the mammalian germline. Nature Communications (2015).
5. Diagnostic Reference Levels based on clinical indications in computed tomography: a literature review. Insights into Imaging (2020).