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An Image Quality-informed Framework for CT Characterization.

Rebecca Smith-Bindman1, Sophronia Yu1, Yifei Wang1

  • 1From the Department of Radiology and Biomedical Imaging (R.S.B., S.Y., Y.W., M.D.K., P.C., R.C., J.L., C.S.), Department of Epidemiology and Biostatistics (R.S.B., A.B.), Philip R. Lee Institute for Health Policy Studies (R.S.B., A.B.), and Department of Medicine (A.B.), University of California San Francisco (UCSF), UCSF Mission Bay Campus, Mission Hall: Global Health and Clinical Sciences Building, 550 16th St, 2nd Floor, Box 0560, San Francisco, CA 94158; Department of Demography, University of California Berkeley, Berkeley, Calif (R.C.); Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany (D.B.); Department of Radiology and Biomedical Imaging, University of California Irvine, Irvine, Calif (B.B.); UCSF Medical School, San Francisco, Calif (A.A.C.); Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY (B.D.); Seymour, Paul, and Gloria Milstein Division of Cardiology, Department of Medicine, and Department of Radiology, Columbia University Irving Medical Center and New York-Presbyterian Hospital, New York, NY (A.J.E.); Department of Radiology and Public Health Sciences, Henry Ford Health System, Detroit, Mich (M.F.); Department of Nuclear Engineering and Radiological Science, University of Michigan, Ann Arbor, Mich (M.F.); Department of Medicine and Pediatrics (P.R.) and Department of Radiology (J.A.S.), University of California Davis Health, Sacramento, Calif; and Department of Radiology, University of Washington, Seattle, WA (A.C.W.).

Radiology
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PubMed
Summary
This summary is machine-generated.

This study developed a framework to assess CT radiation doses by categorizing scans by body region and indication. Broad categories effectively simplify dose assessment, showing significant variation between categories but less within them.

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Area of Science:

  • Radiology
  • Medical Physics
  • Health Informatics

Background:

  • Lack of standardized CT protocols leads to inconsistent radiation doses.
  • Variations in radiation exposure pose challenges for patient safety and data analysis.
  • Need for a systematic approach to manage and understand CT radiation dose variability.

Purpose of the Study:

  • To establish a framework for assessing CT radiation doses across different body regions and clinical indications.
  • To group CT imaging indications based on the radiation dose necessary for adequate image quality.
  • To analyze dose variations within and between defined CT categories.

Main Methods:

  • Retrospective analysis of 4.5 million CT examinations from the UCSF International CT Dose Registry (2016-2019).
  • Grouping examinations into 19 categories based on body region and radiation dose levels (low, routine, high).
  • Calculating median and diagnostic reference level (DRL) for dose-length product; comparing dose variation using ANOVA.

Main Results:

  • Radiation doses varied approximately 10-fold more between broad categories than within indications.
  • Relative median doses were significantly higher in high-dose categories compared to low-dose categories for head, chest, abdomen, and cardiac scans.
  • Analysis confirmed the validity of assigning indications to broad categories, with similar trends observed for DRL doses (P < .001).

Conclusions:

  • Broad CT categories, defined by image quality requirements, provide a suitable framework for simplifying radiation dose assessment.
  • The proposed categorization effectively accounts for expected variations in radiation dose.
  • This approach aids in standardizing radiation dose evaluation in CT imaging.