Published February 2019
| Version v1
Journal article
The use of 80 kV versus 100 kV in pulmonary CT angiography: An evaluation of the impact on radiation dose and image quality on two CT scanners
- 1. Faculty of Health and Social Sciences, University of South-Eastern Norway (Norway)
- 2. Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Olav Kyrres gate nr. 9, 7030, Trondheim (Norway)
- 3. Department of Radiology and Nuclear Medicine, St Olavs Hospital, Trondheim (Norway)
Description
Highlights: • Widespread use of CT in investigating PE in pregnant and young female patients. • Significant dose reduction (up to 53%) when reducing kV from 100 to 80. • No compromise in diagnostic image quality in patients under 80 kg bodyweight. • Minor differences in image quality identified between different CT scanners. - Abstract: IntroductionUse of CT in the investigation of pulmonary embolism in radiosensitive patients such as pregnant and young female patients entails the need for protocol optimization. The aim of this study was to analyze the dose reduction and image quality achieved by using 80 kV instead of 100 kV in CT pulmonary angiography protocols.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.radi.2018.10.004Additional details
Identifiers
- DOI
- 10.1016/j.radi.2018.10.004;
- PII
- S1078817418302219;
Publishing Information
- Journal Title
- Radiography (London 1995)
- Journal Volume
- 25
- Journal Issue
- 1
- Journal Page Range
- p. 58-64
- ISSN
- 1078-8174
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 50079236
- Subject category
- S62: RADIOLOGY AND NUCLEAR MEDICINE;
- Descriptors DEI
- BIOMEDICAL RADIOGRAPHY; BLOOD VESSELS; COMPUTERIZED TOMOGRAPHY; FEMALES; OPTIMIZATION; PATIENTS; RADIATION DOSES
- Descriptors DEC
- BODY; CARDIOVASCULAR SYSTEM; DIAGNOSTIC TECHNIQUES; DOSES; MEDICINE; NUCLEAR MEDICINE; ORGANS; RADIOLOGY; TOMOGRAPHY
Optional Information
- Copyright
- Copyright (c) 2017 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.