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Patient-based radiographic exposure factor selection: a systematic review
INTRODUCTION: Digital technology has wider exposure latitude and post-processing algorithms which can mask the evidence of underexposure and overexposure. Underexposure produces noisy, grainy images which can impede diagnosis and overexposure results in a greater radiation dose to the patient. These...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BlackWell Publishing Ltd
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4175846/ https://www.ncbi.nlm.nih.gov/pubmed/26229654 http://dx.doi.org/10.1002/jmrs.66 |
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author | Ching, William Robinson, John McEntee, Mark |
author_facet | Ching, William Robinson, John McEntee, Mark |
author_sort | Ching, William |
collection | PubMed |
description | INTRODUCTION: Digital technology has wider exposure latitude and post-processing algorithms which can mask the evidence of underexposure and overexposure. Underexposure produces noisy, grainy images which can impede diagnosis and overexposure results in a greater radiation dose to the patient. These exposure errors can result from inaccurate adjustment of exposure factors in response to changes in patient thickness. This study aims to identify all published radiographic exposure adaptation systems which have been, or are being, used in general radiography and discuss their applicability to digital systems. METHODS: Studies in EMBASE, MEDLINE, CINAHL and SCOPUS were systematically reviewed. Some of the search terms used were exposure adaptation, exposure selection, exposure technique, 25% rule, 15% rule, DuPont™ Bit System and radiography. A manual journal-specific search was also conducted in The Radiographer and Radiologic Technology. Studies were included if they demonstrated a system of altering exposure factors to compensate for variations in patients for general radiography. Studies were excluded if they focused on finding optimal exposures for an ‘average’ patient or focused on the relationship between exposure factors and dose. RESULTS: The database search uncovered 11 articles and the journal-specific search uncovered 13 articles discussing systems of exposure adaptation. They can be categorised as simple one-step guidelines, comprehensive charts and computer programs. CONCLUSION: Only two papers assessed the efficacy of exposure adjustment systems. No literature compares the efficacy of exposure adaptations system for film/screen radiography with digital radiography technology nor is there literature on a digital specific exposure adaptation system. |
format | Online Article Text |
id | pubmed-4175846 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BlackWell Publishing Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-41758462014-09-30 Patient-based radiographic exposure factor selection: a systematic review Ching, William Robinson, John McEntee, Mark J Med Radiat Sci Review Articles INTRODUCTION: Digital technology has wider exposure latitude and post-processing algorithms which can mask the evidence of underexposure and overexposure. Underexposure produces noisy, grainy images which can impede diagnosis and overexposure results in a greater radiation dose to the patient. These exposure errors can result from inaccurate adjustment of exposure factors in response to changes in patient thickness. This study aims to identify all published radiographic exposure adaptation systems which have been, or are being, used in general radiography and discuss their applicability to digital systems. METHODS: Studies in EMBASE, MEDLINE, CINAHL and SCOPUS were systematically reviewed. Some of the search terms used were exposure adaptation, exposure selection, exposure technique, 25% rule, 15% rule, DuPont™ Bit System and radiography. A manual journal-specific search was also conducted in The Radiographer and Radiologic Technology. Studies were included if they demonstrated a system of altering exposure factors to compensate for variations in patients for general radiography. Studies were excluded if they focused on finding optimal exposures for an ‘average’ patient or focused on the relationship between exposure factors and dose. RESULTS: The database search uncovered 11 articles and the journal-specific search uncovered 13 articles discussing systems of exposure adaptation. They can be categorised as simple one-step guidelines, comprehensive charts and computer programs. CONCLUSION: Only two papers assessed the efficacy of exposure adjustment systems. No literature compares the efficacy of exposure adaptations system for film/screen radiography with digital radiography technology nor is there literature on a digital specific exposure adaptation system. BlackWell Publishing Ltd 2014-09 2014-08-07 /pmc/articles/PMC4175846/ /pubmed/26229654 http://dx.doi.org/10.1002/jmrs.66 Text en © 2014 The Authors. Journal of Medical Radiation Sciences published by Wiley Publishing Asia Pty Ltd on behalf of Australian Institute of Radiography and New Zealand Institute of Medical Radiation Technology. http://creativecommons.org/licenses/by-nc/3.0/ This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Review Articles Ching, William Robinson, John McEntee, Mark Patient-based radiographic exposure factor selection: a systematic review |
title | Patient-based radiographic exposure factor selection: a systematic review |
title_full | Patient-based radiographic exposure factor selection: a systematic review |
title_fullStr | Patient-based radiographic exposure factor selection: a systematic review |
title_full_unstemmed | Patient-based radiographic exposure factor selection: a systematic review |
title_short | Patient-based radiographic exposure factor selection: a systematic review |
title_sort | patient-based radiographic exposure factor selection: a systematic review |
topic | Review Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4175846/ https://www.ncbi.nlm.nih.gov/pubmed/26229654 http://dx.doi.org/10.1002/jmrs.66 |
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