Crowd-sourcing optimized abdomen CT protocols from 908,000 examinations in a large radiation dose registry - Summary - MDSpire

Crowd-sourcing optimized abdomen CT protocols from 908,000 examinations in a large radiation dose registry

  • By

  • Rebecca Smith-Bindman

  • Taewoon Kang

  • Carly Stewart

  • Philip W. Chu

  • Yifei Wang

  • Timothy P. Szczykutowicz

  • November 24, 2025

  • 0 min

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Objective:

To identify optimized protocols for abdomen CT scans that minimize radiation doses while maintaining image quality, emphasizing the significance of reducing radiation exposure.

Key Findings:
  • Significant variation in radiation doses was observed, with a six-fold range across 1033 unique protocols, highlighting the need for standardization.
  • Local clinician decisions significantly influence dose variation, rather than patient or machine characteristics.
  • Optimized protocols identified through crowd-sourcing can potentially reduce radiation exposure while maintaining image quality.
Interpretation:

The study highlights the need for standardized protocols in abdomen CT to minimize radiation exposure, emphasizing the critical role of clinician decisions in dose variation.

Limitations:
  • Exclusions of certain CT indications may limit the generalizability of findings.
  • Potential biases in protocol selection due to reliance on submitted data from participating facilities.
  • The exclusion criteria may impact the representativeness of the findings.
Conclusion:

Crowd-sourcing can effectively identify optimized CT protocols, promoting standardization and potentially reducing radiation exposure in abdomen CT examinations, with clinician engagement being crucial.

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