High-Resolution Computed Tomography Examinations for Chronic Suppurative Lung Disease in Early Childhood: Radiation Exposure and Image Quality Evaluations With Iterative Reconstruction Algorithm Use.

Abstract

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.

• Authors: Magdalini Smarda, Efstathios Efstathopoulos, Argyro Mazioti, Sofia Kordolaimi, Agapi Ploussi, Konstantinos Priftis, Nikolaos Kelekis, Efthymia Alexopoulou
• Journal: Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes (Can Assoc Radiol J) Vol. 67 Issue 3 Pg. 218-24 (Aug 2016) ISSN: 1488-2361 [Electronic] United States
• PMID: 27147486 (Publication Type: Comparative Study, Journal Article)
• Copyright: Copyright © 2016 Canadian Association of Radiologists. Published by Elsevier Inc. All rights reserved.

Topics

• Algorithms
• Bronchitis, Chronic (diagnostic imaging)
• Child
• Child, Preschool
• Chronic Disease
• Female
• Humans
• Image Processing, Computer-Assisted (methods)
• Male
• Radiation Dosage
• Retrospective Studies
• Signal-To-Noise Ratio
• Suppuration (diagnostic imaging)
• Tomography, X-Ray Computed (methods)