Abstract
Purpose
This study was performed to confirm, by propensity score matching, whether the use of adaptive–iterative dose reduction (AIDR 3D) with a built-in automatic exposure control system provides clinical and dosimetric advantages with respect to the traditional filtered back-projection (FBP) algorithm without automatic exposure modulation.
Materials and methods
A total of 200 consecutive patients undergoing coronary computed tomography (CT) angiography on a 640-slice CT scanner were studied. A protocol with exposure parameters based on patient body mass index (BMI) and with images reconstructed using FBP (group A) was compared with a protocol with images acquired using tube current decided by an automatic exposure control system and reconstructed using AIDR (group B). Mean effective dose and image quality with both objective and subjective measurements were assessed.
Results
Mean effective dose was 23.6 % lower in group B than in group A (2.56 versus 3.34 mSv; p < 0.0001). Noise was significantly lower in group B with consequent higher signal-to-noise (SNR) and contrast-to-noise (CNR) (p < 0.0001) compared with group A. Subjective quality parameters were also significantly higher in group B.
Conclusions
Comparative analysis by propensity score matching confirms that AIDR 3D with automatic exposure control is able to reduce significantly the mean radiation dose and improve the image quality compared with traditional FBP without exposure modulation.
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Acknowledgments
The present work benefited from the input of Dr. Eng. Alessandro Zappata, of Toshiba Medical System, who provided valuable assistance to the undertaking of the research summarised here.
Conflict of interest
Ernesto Di Cesare, Antonio Gennarelli, Alessandra Di Sibio, Valentina Felli, Alessandra Splendiani, Giovanni Luca Gravin, Antonio Barile and Carlo Masciocchi declare no conflict of interest.
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Di Cesare, E., Gennarelli, A., Di Sibio, A. et al. Assessment of dose exposure and image quality in coronary angiography performed by 640-slice CT: a comparison between adaptive iterative and filtered back-projection algorithm by propensity analysis. Radiol med 119, 642–649 (2014). https://doi.org/10.1007/s11547-014-0382-3
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DOI: https://doi.org/10.1007/s11547-014-0382-3