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Predictors of CT Radiation Dose and Their Effect on Patient Care: A Comprehensive Analysis Using Automated Data
Rebecca Smith-Bindman1, Yifei Wang1, Thomas R Nelson1
1From the Department of Radiology and Biomedical Imaging (R.S., M.M., N.W., R.G.), Department of Epidemiology and Biostatistics (R.S.), and Philip R. Lee Institute for Health Policy Studies (R.S.), University of California, San Francisco, 350 Parnassus Ave, Suite 307C, San Francisco, CA 94143-0336; Division of Biostatistics, Department of Public Health Sciences (Y.W., D.L.M.), and Department of Radiology (A.S., J.M.B., R.L.), University of California, Davis, Davis, Calif; Department of Radiology, University of California, San Diego, San Diego, Calif (T.R.Y., D.J.H.); Department of Radiological Sciences, University of California, Irvine, Orange County, Calif (M.K.); and Group Health Research Institute, Group Health Cooperative, Seattle, Wash (D.L.M.).
Computed tomography (CT) radiation doses vary significantly across institutions and patient scans. Multiphase scanning and institutional protocols are key factors influencing these dose variations.
Area of Science:
- Radiology
- Medical Imaging
- Radiation Dose Optimization
Background:
- Computed tomography (CT) is a widely used diagnostic imaging modality.
- Radiation dose optimization in CT is crucial for patient safety.
- Variability in CT radiation dose is a known issue across different healthcare settings.
Purpose of the Study:
- To identify patient, vendor, and institutional factors influencing computed tomography (CT) radiation dose.
- To analyze the predictors of median and high radiation doses in adult CT examinations.
Main Methods:
- Prospective collection of volume CT dose index (CTDIvol) and effective dose for 274,124 adult CT exams across 12 facilities.
- Utilized linear regression and modified Poisson regression to assess predictive factors.
- Analyzed patient size, vendor, institutional characteristics, and scanning protocols.
Main Results:
- Significant dose variation was observed within and across medical centers.
- Institutional protocols and multiphase scanning were primary drivers of dose variation.
- Multiphase scanning increased the likelihood of high-dose examinations by over six times compared to single-phase CT.
Conclusions:
- CT radiation doses exhibit considerable variability influenced mainly by multiphase scanning and institutional protocols.
- Patient size, institutional protocols, and multiphase scanning are significant predictors of radiation dose.
- Further research is needed to determine if dose variations impact diagnostic accuracy.
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