Crowd-sourcing optimized abdomen CT protocols from 908,000 examinations in a large radiation dose registry
Question Can we identify best-practice imaging protocols from a large CT registry, to offer clinicians a blueprint for optimizing radiation dose in routine abdomen CT? Findings Protocols were grouped into clusters using average acquisition parameters. Across clusters, patient size-adjusted radiation dose varied 486-1382 mGy-cm. Lowest-dosed protocols had one phase and low kVp. Clinical relevance We used crowd-sourcing and k-means clustering to identify routine abdomen CT protocols that achieve lowest radiation dose, offering a playbook for protocol design from real clinical practice. Non-indicated phases were the greatest driver of excessive radiation dose.
Authors
- Rebecca Smith‐Bindman (ORCID: https://orcid.org/0000-0003-1972-639X)
- Carly Stewart (ORCID: https://orcid.org/0000-0002-2723-4902)
- Timothy P. Szczykutowicz (ORCID: https://orcid.org/0000-0002-3008-6568)
- Philip Chu (ORCID: https://orcid.org/0000-0002-9160-1957)
- Yifei Wang (ORCID: https://orcid.org/0000-0002-1632-2050)
- Taewoon Kang
Institutions
- University of Wisconsin–Madison (US)
- Lee University (US)
- University of California, San Francisco (US)
- Global Brain Health Institute (US)
Publication Details
- Journal
- European Radiology
- Published
- 2025-11-24
- DOI
- https://doi.org/10.1007/s00330-025-12131-w
- Primary Topic
- Radiation Dose and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Patient-Centered Outcomes Research Institute
- National Cancer Institute