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CT dose survey in adults: what sample size for what precision?
Stephen Taylor1, Alain Van Muylem2, Nigel Howarth3
1Department of Radiology, Hôpital Ambroise Paré, Boulevard Président Kennedy 2, 7000, Mons, Belgium.
Radiation dose variability in CT scans is high with small sample sizes. Increasing sample size tenfold is crucial for accurate dose surveys and reliable computed tomographic dose index (CTDIvol) and dose-length product (DLP) data.
Area of Science:
- Medical Imaging
- Radiology
- Radiation Dosimetry
Background:
- Accurate radiation dose assessment is critical in computed tomography (CT).
- Variability in dose descriptors like CTDIvol and DLP can impact survey reliability.
- Current sample sizes may not adequately represent dose variability.
Purpose of the Study:
- To determine the variability of CTDIvol and DLP.
- To propose a minimum sample size for achieving precise dose estimations.
- To analyze dose variability based on body region and patient weight.
Main Methods:
- Collected CTDIvol and DLP data from 19,875 CT acquisitions across five body regions.
- Investigated variability with sample sizes from 10 to 1000 and different patient weight categories.
- Calculated 95% confidence intervals (CI95/med) for increasing sample sizes to determine required sample size for CI95/med ≤ 10%.
Main Results:
- Required sample sizes for CI95/med ≤ 10% varied from 15 to 900 depending on body region and dose descriptor.
- Small sample sizes (10-20 patients) resulted in mean CTDIvol and DLP values ranging from 0.50 to 2.00 times the actual value.
- Dose descriptor variability was high across all body regions and influenced by weight selection.
Conclusions:
- Sampling errors are substantial in CT dose surveys using small patient samples.
- Increasing sample size at least tenfold is recommended to reduce variability in CTDIvol and DLP.
- Accurate radiation dose monitoring requires larger, carefully selected patient cohorts.
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