Abstract
Objective To explore the optimal adaptive statistical iterative reconstruction-V (ASIR-V) percentage in abdominal low-dose enhanced CT in infants with living liver transplantation (LDLT). Methods Twenty consecutive infants (liver transplant candidates or patients after liver transplantation, body weight≤15.0 kg) were prospectively included as the test group in this study. All the infants underwent three-phase enhanced CT, hepatic artery, portal venous inflow and portal venous phase. Images were reconstructed with filtered back projection (FBP), 0, ASIR-V, 20% ASIR-V, 40% ASIR-V, 60% ASIR-V, 80% ASIR-V and 100% ASIR-V, respectively. The objective (noise SD, CT value of abdominal aorta, liver and spleen) and subjective (image quality score) analysis of image quality were conducted. The effective dose (ED) was also recorded. In order to test our conclusion, 10 infants with similar characteristics to test group were prospectively collected as validation group. The similar scanning protocol combined with the best ASIR-V were used. The image score and ED were recorded. One-way analysis of variance or Kruskal-Wallis H test were used to compare CT value, noise SD and image quality scores. Friedman M test was used to compare image quality score and independent-sample t test was used to compare ED between the test and validation group. Results CT value of all tissues derived from images reconstructed with different ASIR-V was similar in each phase (P>0.05). The noise SD had statistically significant differences among images reconstructed with different ASIR-V (P 0.05). The ED of the test group was (2.52±0.54) mSv, and significantly lower than that of validation group (1.49±0.18) mSv (P<0.05). Conclusion The best image quality can be obtained with forty percent ASIR-V whilethe radiation dose can be effectively reduced. Key words: Liver transplantation; Tomography,X-ray computed; Radiation dosage
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
