TY - JOUR
TI - High-Resolution Computed Tomography Examinations for Chronic Suppurative
Lung Disease in Early Childhood: Radiation Exposure and Image Quality
Evaluations With Iterative Reconstruction Algorithm Use
AU - Smarda, Magdalini
AU - Efstathopoulos, Efstathios
AU - Mazioti, Argyro and
AU - Kordolaimi, Sofia
AU - Ploussi, Agapi
AU - Priftis, Konstantinos and
AU - Kelekis, Nikolaos
AU - Alexopoulou, Efthymia
JO - CANADIAN ASSOCIATION OF RADIOLOGISTS JOURNAL-JOURNAL DE L ASSOCIATION
CANADIENNE DES RADIOLOGISTES
PY - 2016
VL - 67
TODO - 3
SP - 218-224
PB - ELSEVIER SCIENCE BV
SN - null
TODO - 10.1016/j.carj.2015.10.003
TODO - High-resolution computed tomography; Iterative reconstruction; iDose;
Dose reduction; Chronic suppurative lung disease; Children
TODO - Purpose: High radiosensitivity of children undergoing repetitive
computed tomography examinations necessitates the use of iterative
reconstruction algorithms in order to achieve a significant radiation
dose reduction. The goal of this study is to compare the iDose iterative
reconstruction algorithm with filtered backprojection in terms of
radiation exposure and image quality in 33 chest high-resolution
computed tomography examinations performed in young children with
chronic bronchitis.
Methods: Fourteen patients were scanned using the filtered
backprojection protocol while 19 patients using the iDose protocol and
reduced milliampere-seconds, both on a 64-detector row computed
tomography scanner. The iDose group images were reconstructed with
different iDose levels (2, 4, and 6). Radiation exposure,quantities were
estimated, while subjective and objective image qualities were
evaluated. Unpaired t tests were used for data statistical analysis.
Results: The iDose application allowed significant effective dose
reduction (about 80%). Subjective image quality evaluation showed
satisfactory results even with iDose level 2, whereas it approached
excellent image with iDose level 6. Subjective image noise was
comparable between the 2 groups with the use of iDose level 4, while
objective noise was comparable between filtered backprojection and
iterative reconstruction level 6 images.
Conclusions: The iDose algorithm use in pediatric chest high-resolution
computed tomography reduces radiation exposure without compromising
image quality. Further evaluation with iterative reconstruction
algorithms is needed in order to establish high-resolution computed
tomography as the gold standard low-dose method for children suffering
from chronic lung diseases.
ER -