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CC BY-NC-ND 4.0 · Indian J Radiol Imaging 2006; 16(02): 247-251
DOI: 10.4103/0971-3026.29102
Original Article

Achieving reduced radiation doses for CT examination of the brain using optimal exposure parameters

R S Livingstone
Department of Radiodiagnosis, Christian Medical College, Vellore 632004, India
,
A Eapen
Department of Radiodiagnosis, Christian Medical College, Vellore 632004, India
,
N B Dip
Department of Radiodiagnosis, Christian Medical College, Vellore 632004, India
,
N Hubert
Department of Radiodiagnosis, Christian Medical College, Vellore 632004, India
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Abstract

Objectives : Examinations performed using CT scanners impart high radiation dose to patients and use of this modality is on the increase in the present day scenario. This study was intended to evaluate and optimize radiation dose imparted to patients during CT examination of brain performed using spiral CT scanner. Materials and Methods : One hundred and one patients who underwent CT examination of brain were included in the study. The effective dose to patients was calculated using volume computed tomography dose index (CTDIvol) and dose length product (DLP) values. Patients were categorized according to the type of examination involved. Patients who underwent a complete examination of brain (non-contrast as well as contrast) were categorized in Group A and patients who underwent either a non-contrast or contrast examination were categorized as Group B. Results : The effective dose to patients ranged from 0.65 mSv to 0.93 mSv for Group A patients and 0.28 mSv to 0.53 mSv for Group B patients. Conclusion : There was a reduction of doses imparted to patients undergoing CT examination of the brain using optimized exposure parameters without any loss of diagnostic information.

Keywords

Effective dose - dose length product - CTDIvol computed tomography (CT)


Publication History

Received: 15 November 2005

Accepted: 12 April 2006

Article published online:
02 August 2021

© 2006. Indian Radiological Association. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial-License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/).

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