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X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging
Published on: September 11, 2011
Patient radiation dose audits for fluoroscopically guided interventional procedures.
Stephen Baiter1, Marvin Rosenstein, Donald L Miller
1Department of Radiology, Columbia University, New York, New York 10032, USA. sb2455@columbia.edu
Medical Physics
|April 28, 2011
Summary
This study introduces a quality management process for radiation dose in fluoroscopically guided interventional (FGI) procedures, using a substantial radiation dose level (SRDL) to monitor patient risk and guide investigations for improved safety.
Area of Science:
- Medical Imaging
- Radiology
- Radiation Safety
Background:
- Fluoroscopically guided interventional (FGI) procedures involve significant patient radiation exposure.
- Clinical variability in FGI procedures complicates standard radiation dose monitoring.
- Potential for deterministic injuries necessitates robust quality management.
Purpose of the Study:
- To describe a quality process for managing radiation dose in FGI procedures.
- To establish a method suitable for the inherent variability and risks of FGI procedures.
- To move beyond conventional diagnostic reference levels for FGI dose management.
Main Methods:
- Introduction of the substantial radiation dose level (SRDL) as an action level for skin injury risk.
- Collection of procedure data into a multifacility advisory data set (ADS).
- Comparison of individual facility data sets (FDS) against the ADS for dose distribution and SRDL exceedance.
Main Results:
- Illustrative examples using percutaneous coronary intervention and reference air kerma (K(a,r)).
- Identified investigation triggers: facility median K(a,r) exceeding ADS 75th percentile.
- Identified investigation triggers: FDS percentage of SRDL exceedance greater than ADS.
Conclusions:
- The proposed quality process enables better management of patient radiation dose in FGI procedures.
- Effective management reduces both deterministic and stochastic radiation risks.
- Analysis of ADS and FDS provides actionable insights for quality improvement.
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