Optimal exposure parameters for digital radiography of the infant skull: A pilot study.
1195 - 1204.
AIM: To determine optimal exposure parameters when performing digital skull radiographs in infants with suspected non-accidental injury (NAl).METHOD: Anteroposterior and lateral post-mortem skull radiographs of six consecutive infants with suspected NAl were made at six exposure levels for each projection. Entrance surface doses ranged from 75-351 mu Gy. Exposures were made with a Fuji 5000R computed radiography system onto a standard resolution imaging plate. In three patients exposures were repeated using a high-resolution imaging plate. Hard copy images with an edge-enhancement factor of 0.5 were produced. Six observers assessed and scored the radiographs from 1 = poor to 5 = excellent for visualization of five criteria. The criteria scored included outer table of skull vault, inner table of skull vault, suture margins, vascular markings and soft tissues of the scalp. Radiographs were then ranked in order of overall image quality. Film density and sensitivity values were recorded. Local research committee approval was obtained.RESULTS: Current parameters give an average entrance surface dose of 253 mu Gy and 246 mu Gy for anteroposterior and lateral radiographs, respectively. The study demonstrated no perceived improvement in image quality above an entrance surface dose of 200 mu Gy (80% of current dose) or by the use of a high-resolution imaging plate.CONCLUSION: The potential exists to reduce radiation exposure in infants. A study has commenced to determine the effects of dose reduction on diagnostic accuracy in suspected NAl (c) 2005 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.
|Title:||Optimal exposure parameters for digital radiography of the infant skull: A pilot study|
|Keywords:||radiography, digital, image quality, radiation dose, skull radiographs, infants, injuries, IMAGE QUALITY, COMPUTED RADIOGRAPHY, STORAGE PHOSPHOR, DOSE REDUCTION, CRITERIA, OPTIMIZATION, EXPERIENCES, SPINE|
|UCL classification:||UCL > School of Life and Medical Sciences
UCL > School of Life and Medical Sciences > Faculty of Population Health Sciences
UCL > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Child Health
UCL > School of BEAMS > Faculty of Engineering Science
UCL > School of BEAMS > Faculty of Engineering Science > Medical Physics and Bioengineering
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