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Published on: July 29, 2013
Patient size measured on CT images as a function of age at a tertiary care children's hospital
Patricia L Kleinman1, Keith J Strauss, David Zurakowski
1Department of Radiology, Children's Hospital Boston and Harvard Medical School, Boston, MA 02115, USA. patricia.kleinman@childrens.harvard.edu
Insights
Pediatric patient size varies greatly with age, but individual size is not well predicted by age alone. Determining patient size directly is crucial for optimizing radiation exposure during CT scans.
Area of Science:
- Medical Imaging
- Pediatric Radiology
- Biomedical Engineering
Background:
- Accurate pediatric patient size data is essential for optimizing radiation dose in diagnostic imaging.
- Previous data may not reflect current pediatric populations.
- CT imaging is widely used in pediatric diagnostics.
Purpose of the Study:
- To measure pediatric patient dimensions on CT images across different age groups.
- To establish current patient size data for children under 21 years old.
- To inform the development of optimal X-ray exposure factors for pediatric CT scans.
Main Methods:
- Measurements of head, thorax, abdomen, and pelvis were taken from CT scans of 1,009 pediatric patients.
- Exclusion of patients with conditions affecting body size.
- Statistical modeling and prediction equations were developed for each body region.
Main Results:
- Head size showed rapid growth from birth to 2 years, then plateaued.
- Thoracic, abdominal, and pelvic dimensions demonstrated a linear relationship with age.
- Transverse measurements generally increased faster than anteroposterior measurements, with significant overlap in predicted sizes across ages.
Conclusions:
- While average pediatric patient size is age-dependent, individual size is not strongly correlated with age.
- Direct measurement of pediatric patient body size is recommended before radiation-based imaging procedures.
- This approach can help minimize radiation risks in children.
Objective:
The purpose of our study was to measure patient size on CT images as a function of age at a large tertiary care children's hospital to develop current patient size data for modeling optimal x-ray exposure factors in children.
Materials And Methods:
Anteroposterior and transverse dimensions of the head, thorax, abdomen, and pelvis were measured on CT examinations of pediatric patients less than 21 years old performed between June and November 2007. Patients with diseases that could affect measurements were excluded. From 1,009 patients, 336 examinations of each of four body regions were selected; 2,688 measurements were made and separated into 21 groups. Statistical model building and prediction equations were established for each region and 95% prediction intervals were used for analyses.
Results:
Rapid growth of the head occurred from birth to approximately 2 years followed by a gradual plateau until 21 years. The thoracic, abdominal, and pelvic regions showed a linear relationship between age and size. Fitted equations showed transverse trunk measurements increased more rapidly than anteroposterior measurements. The anteroposterior trunk size growth rate was relatively region independent; transverse pelvic dimensions grew more rapidly than thoracic or abdominal regions. There was a broad overlap of predicted patient size ranges as a function of age within each region. Excellent interobserver agreement was measured by Pearson's correlation coefficient (r) (all p < 0.0001).
Conclusion:
Fitted average patient sizes are age dependent; however, predicted individual patient size does not correlate well with age. Our study suggests that pediatric patient body size should be determined for individual patients before performing diagnostic imaging procedures that entail radiation risks.
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