Introduction: In clinical practice AP pelvis standard protocols are suitable for average size patients. However, as the average body size has increased over the past decades, radiographers have had to improve their practice in order to ensure that adequate image quality with minimal radiation dose to the patient is achieved. Gonad shielding has been found to be an effective way to reduce the radiation dose to the ovaries. However, the effect of increased body size, or fat thickness, in combination with gonad shielding is unclear. The goal of the study was to investigate the impact of gonad shielding in a phantom of adult female stature with increasing fat thicknesses on SNR (as a measure for image quality) and dose for AP pelvis examination. Methods: An adult Alderson female pelvis phantom was imaged with a variety of fat thickness categories as a representation of increasing BMI. 72 images were acquired using both AEC and manual exposure with and without gonad shielding. The radiation dose to the ovaries was measured using a MOSFET system. The relationship between fat thickness, SNR and dose when the AP pelvis was performed with and without shielding was investigated using the Wilcoxon signed rank test. P-values < 0.05 were considered to be statistically significant. Results: Ovary dose and SNR remained constant despite the use of gonad shielding while introducing fat layers. Conclusion: The ovary dose did not increase with an increase of fat thickness and the image quality was not altered. Implications for practice: Based on this phantom study it can be suggested that obese patients can expect the same image quality as average patients while respecting ALARA principle when using adequate protocols.
INTRODUCTION: With the introduction of digital radiography, the feedback between image quality and over-exposure has been partly lost which in some cases has led to a steady increase in dose. Over the years the introduction of exposure index (EI) has been used to resolve this phenomenon referred to as 'dose creep'. Even though EI is often vendor specific it is always a related of the radiation exposure to the detector. Due to the nature of this relationship EI can also be used as a patient dose indicator, however this is not widely investigated in literature.METHODS: A total of 420 dose-area-product (DAP) and EI measurements were taken whilst varying kVp, mAs and body habitus on two different anthropomorphic phantoms (pelvis and chest). Using linear regression, the correlation between EI and DAP were examined. Additionally, two separate region of interest (ROI) placements/per phantom where examined in order to research any effect on EI.RESULTS: When dividing the data into subsets, a strong correlation between EI and DAP was shown with all R-squared values > 0.987. Comparison between the ROI placements showed a significant difference between EIs for both placements.CONCLUSION: This research shows a clear relationship between EI and radiation dose which is dependent on a wide variety of factors such as ROI placement, body habitus. In addition, pathology and manufacturer specific EI's are likely to be of influence as well.IMPLICATIONS FOR PRACTICE: The combination of DAP and EI might be used as a patient dose indicator. However, the influencing factors as mentioned in the conclusion should be considered and examined before implementation.
Bij het 11e lustrum van de NVS is uitgebreid stilgestaan bij de zogenaamde stralingstaart, die weergeeft aan welke bronnen van ioniserende straling Nederlanders worden blootgesteld [Sla15]. De grootste taartpunt in die stralingstaart komt voor rekening van de medische diagnostiek. Het gaat daarbij met name om medische beeldvorming met röntgenstraling (röntgenfoto’s en CT scans) en in mindere mate om diagnostiek met radiofarmaca (nucleaire geneeskunde). Stralingsbelasting ten gevolge van radiotherapie en nucleair geneeskundige therapie wordt hier buiten beschouwing gelaten. Daarbij is straling voornamelijk het ‘medicijn’ en spelen mogelijke negatieve bijwerkingen een ondergeschikte rol. De stralingsbelasting ten gevolge van medische diagnostiek wordt bijgehouden in het Informatiesysteem Medische Stralingsbelasting (www.rivm.nl/ims). Daaruit blijkt dat die stralingsbelasting van jaar tot jaar toeneemt (zie Figuur 1). Dit wordt veroorzaakt door de toename in het aantal verrichtingen dat jaarlijks wordt uitgevoerd.
