Using body mass index to estimate individualised patient radiation dose in abdominal computed tomography View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Siobhan O’Neill, Richard G. Kavanagh, Brian W. Carey, Niamh Moore, Michael Maher, Owen J. O’Connor

ABSTRACT

BACKGROUND: The size-specific dose estimate (SSDE) is a dose-related metrics that incorporates patient size into its calculation. It is usually derived from the volume computed tomography dose index (CTDIvol) by applying a conversion factor determined from manually measured anteroposterior and lateral skin-to-skin patient diameters at the midslice level on computed tomography (CT) localiser images, an awkward, time-consuming, and not highly reproducible technique. The objective of this study was to evaluate the potential for the use of body mass index (BMI) as a size-related metrics alternative to the midslice effective diameter (DE) to obtain a size-specific dose (SSDE) in abdominal CT. METHODS: In this retrospective study of patients who underwent abdominal CT for the investigation of inflammatory bowel disease, the DE was measured on the midslice level on CT-localiser images of each patient. This was correlated with patient BMI and the linear regression equation relating the quantities was calculated. The ratio between the internal and the external abdominal diameters (DRATIO) was also measured to assess correlation with radiation dose. Pearson correlation analysis and linear regression models were used. RESULTS: There was good correlation between DE and patient BMI (r = 0.88). An equation allowing calculation of DE from BMI was calculated by linear regression analysis as follows: DE = 0.76 (BMI) + 9.4. A weak correlation between radiation dose and DRATIO was demonstrated (r = 0.45). CONCLUSIONS: Patient BMI can be used to accurately estimate DE, obviating the need to measure anteroposterior and lateral diameters in order to calculate a SSDE for abdominal CT. More... »

PAGES

38

References to SciGraph publications

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URI

http://scigraph.springernature.com/pub.10.1186/s41747-018-0070-5

DOI

http://dx.doi.org/10.1186/s41747-018-0070-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1109843070

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30483977


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