Abstract 392: Estimated Radiation Dose of Coronary Computed Tomography Angiography Using Adaptive Statistical Iterative Reconstruction: A Multicenter Study
Introduction: Methods to reduce radiation exposure during coronary computed tomography angiography (CCTA) are important.
Hypothesis: In contrast to filtered backprojection (FBP), adaptive statistical iterative reconstruction (ASIR) uses advanced statistical modeling to reduce image noise. Therefore, ASIR may permit lower current and hence reduced radiation dose in CCTA studies.
Methods: We evaluated estimated radiation doses in 990 consecutive patients at three centers referred for CCTA using 64-detector CCTA with FBP (n=753) and 64-detector CCTA with ASIR (n=237). Patient and scan parameters, signal and noise, study interpretability, and radiation doses were compared.
Results: Study and patient characteristics as well as radiation doses are provided in the table⇓. Independent of patient and study parameters, ASIR (vs. FBP) was associated with reduced tube current (−155 mA, p<0.001), while there was no difference in adjusted signal (p=0.92), noise (p=0.83), or signal-to-noise ratio (p=0.06). Variables independently associated with effective radiation dose included prospective vs. retrospective gating (−85% effect, p<0.001), padding duration (−33% effect per 50 msec decrease, p<0.001), 100 versus 120 kV imaging (−26% effect, p<0.001), ASIR versus FBP (−22% effect, p<0.001), and scan length (−9% effect per 1 cm decrease, p<0.001).
Conclusions: CCTA using ASIR resulted in reduced current and lower radiation doses in a multicenter study with preserved image quality.