Comparison of topogram-based body size indices for CT dose consideration and scan protocol optimization
Baojun Li1, Richard H Behrman, Alexander M Norbash
1Department of Radiology, Boston University Medical Center, Boston, MA 02118, USA. Baojunli@bu.edu
The improved topogram projection area (E(topo)´) is the most accurate topogram-based index for estimating patient body size and optimizing computed tomography (CT) radiation dose. This method enhances CT scan protocol optimization for individual patients.
Area of Science:
- Medical Imaging
- Radiological Physics
- Diagnostic Radiology
Background:
- Accurate patient body size estimation is crucial for optimizing computed tomography (CT) radiation dose.
- Traditional methods for body size assessment in CT may lack precision.
- Topogram-based indices offer a potential solution for real-time dose adjustment.
Purpose of the Study:
- To compare various topogram-based patient body size indices.
- To identify the optimal index for CT dose consideration and protocol optimization.
Main Methods:
- Retrospective analysis of 43 thorax and abdomen CT scans.
- Calculation of water-equivalent diameter (D(w)) as the gold standard.
- Computation and correlation of four topogram-based indices: average diameter (D), girth (G), topogram projection area (E(topo)), and improved topogram projection area (E(topo)´).
- Linear regression analysis to assess accuracy in estimating D(w).
Main Results:
- The improved topogram projection area (E(topo)´) demonstrated the lowest standard error (±1.3 cm) in estimating D(w).
- E(topo)´ was significantly more accurate than E(topo) (±2.1 cm), D (±2.8 cm), and G (±3.1 cm).
- Linear regression models confirmed the superior accuracy of E(topo)´.
Conclusions:
- The improved topogram projection area (E(topo)´) is the most accurate topogram-based index for estimating patient x-ray attenuation.
- E(topo)´ serves as an optimal index for determining appropriate CT radiation dose levels for individual patients.
- This index facilitates personalized CT dose management and protocol optimization.
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