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Abstract
Background
Aortic microcalcification activity is a recently described method of measuring aortic sodium [18F]fluoride uptake in the thoracic aorta on positron emission tomography. In this study, we aimed to compare and to modify this method for use within the infrarenal aorta of patients with abdominal aortic aneurysms.
Methods
Twenty-five patients with abdominal aortic aneurysms underwent an sodium [18F]fluoride positron emission tomography and computed tomography scan. Maximum and mean tissue-to-background ratios (TBR) and abdominal aortic microcalcification activity were determined following application of a thresholding and variable radius method to correct for vertebral sodium [18F]fluoride signal spill-over and the nonlinear changes in aortic diameter, respectively. Agreement between the methods, and repeatability of these approaches were assessed.
Results
The aortic microcalcification activity method was much quicker to perform than the TBR method (14 versus 40 min, p < 0.001). There was moderate-to-good agreement between TBR and aortic microcalcification activity measurements for maximum (interclass correlation co-efficient, 0.67) and mean (interclass correlation co-efficient, 0.88) values. These correlations sequentially improved with the application of thresholding (intraclass correlation coefficient 0.93, 95% confidence interval 0.89–0.95) and variable diameter (intraclass correlation coefficient 0.97, 95% confidence interval 0.94–0.99) techniques. The optimised method had good intra-observer (mean 1.57 ± 0.42, bias 0.08, co-efficient of repeatability 0.36 and limits of agreement − 0.43 to 0.43) and inter-observer (mean 1.57 ± 0.42, bias 0.08, co-efficient of repeatability 0.47 and limits of agreement − 0.53 to 0.53) repeatability.
Conclusions
Aortic microcalcification activity is a quick and simple method which demonstrates good intra-observer and inter-observer repeatabilities and provides measures of sodium [18F]fluoride uptake that are comparable to established methods.
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Details

1 University of Edinburgh, The University of Edinburgh Centre for Cardiovascular Science, Chancellor’s Building, Edinburgh, UK (GRID:grid.4305.2) (ISNI:0000 0004 1936 7988)
2 University of Edinburgh, The University of Edinburgh Centre for Cardiovascular Science, Chancellor’s Building, Edinburgh, UK (GRID:grid.4305.2) (ISNI:0000 0004 1936 7988); University of Edinburgh, Edinburgh Imaging Facility, Queen’s Medical Research Institute, Edinburgh, UK (GRID:grid.4305.2) (ISNI:0000 0004 1936 7988)
3 University of Edinburgh, Edinburgh Imaging Facility, Queen’s Medical Research Institute, Edinburgh, UK (GRID:grid.4305.2) (ISNI:0000 0004 1936 7988)
4 Biomedical Imaging Research Institute, Division of Artificial Intelligence, Department of Medicine, Cedars-Sinai Medical Centre, Los Angeles, USA (GRID:grid.50956.3f) (ISNI:0000 0001 2152 9905)