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Patient-specific radiation dose and cancer risk for pediatric chest CT
Xiang Li1, Ehsan Samei, W Paul Segars
1Department of Radiology, Duke University Medical Center, 2424 Erwin Rd, Suite 302, Durham, NC 27705, USA. xiang.li@duke.edu
Insights
Patient size and age are key factors in estimating radiation dose and cancer risk from pediatric chest CT scans. These findings help optimize scanning protocols for children.
Area of Science:
- Medical Imaging
- Radiology
- Radiation Dosimetry
Background:
- Pediatric chest computed tomography (CT) involves radiation exposure.
- Accurate estimation of radiation dose and associated cancer risk is crucial for children undergoing CT scans.
- Patient size and age significantly influence radiation dose and risk.
Purpose of the Study:
- To estimate patient-specific radiation dose and cancer risk from pediatric chest CT.
- To evaluate how patient size (age, diameter, weight) and scanning parameters affect dose and risk.
Main Methods:
- Utilized full-body computer models of 30 pediatric patients (0-16 years).
- Employed a Monte Carlo program to estimate organ dose from eight chest CT protocols.
- Calculated effective dose and cancer risk index, correlating them with patient size and scanning parameters.
Main Results:
- Organ dose and effective dose decreased exponentially with increasing chest diameter.
- Chest diameter was a stronger predictor of dose than weight or scan length.
- Cancer risk index decreased with increasing chest diameter and age, independent of scanning parameters when normalized by DLP.
Conclusions:
- Patient size and age are reliable predictors for estimating pediatric chest CT radiation dose and cancer risk.
- These correlations can guide the optimization of pediatric CT protocols for improved safety.
Purpose:
To estimate patient-specific radiation dose and cancer risk for pediatric chest computed tomography (CT) and to evaluate factors affecting dose and risk, including patient size, patient age, and scanning parameters.
Materials And Methods:
The institutional review board approved this study and waived informed consent. This study was HIPAA compliant. The study included 30 patients (0-16 years old), for whom full-body computer models were recently created from clinical CT data. A validated Monte Carlo program was used to estimate organ dose from eight chest protocols, representing clinically relevant combinations of bow tie filter, collimation, pitch, and tube potential. Organ dose was used to calculate effective dose and risk index (an index of total cancer incidence risk). The dose and risk estimates before and after normalization by volume-weighted CT dose index (CTDI(vol)) or dose-length product (DLP) were correlated with patient size and age. The effect of each scanning parameter was studied.
Results:
Organ dose normalized by tube current-time product or CTDI(vol) decreased exponentially with increasing average chest diameter. Effective dose normalized by tube current-time product or DLP decreased exponentially with increasing chest diameter. Chest diameter was a stronger predictor of dose than weight and total scan length. Risk index normalized by tube current-time product or DLP decreased exponentially with both chest diameter and age. When normalized by DLP, effective dose and risk index were independent of collimation, pitch, and tube potential (<10% variation).
Conclusion:
The correlations of dose and risk with patient size and age can be used to estimate patient-specific dose and risk. They can further guide the design and optimization of pediatric chest CT protocols.
Supplemental Material:
http://radiology.rsna.org/lookup/suppl/doi:10.1148/radiol.11101900/-/DC1.
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