Comparison of two software packages for determining radiographic bone aluminium equivalent values

2013 ◽  
Vol 9 (3-4) ◽  
pp. 219-222 ◽  
Author(s):  
C.I. O'Connor-Robison ◽  
B.D. Nielsen

Radiographic photodensitometry has been used to track changes in bone mineral content in the distal limb of horses through traditional film radiographs. With increasing popularity of digital radiographs, the technique has been adapted for digital technology. The objective of this study was to validate and describe the analysis of digital radiographs and to compare traditional densitometric analysis to digital analysis. Twelve traditional and 12 digital radiographs were taken of the left third metacarpal (MCIII) of 12 horses with an aluminium stepwedge penetrometer attached to the radiographic cassette. Both medial-lateral and dorsal-palmar views were represented. The traditional and digital radiographs were each analysed using two different methods to compare results. Analysis involved determining optical density at each step of the aluminium stepwedge, plotting optical density verses mm Al, and then determining the equation of the subsequent line. The optical density of each cortice was inserted into the equation and radiographic bone aluminium equivalents (RBAE) in mm Al for each cortice was determined. Total RBAE was also examined 1 cm distal to the nutrient foramen of the MCIII. Data were analysed using Proc CORR (SAS v. 9.1) and are reported as mean ± standard deviation. Total RBAE on the dorsal-palmar view from traditional radiographs averaged 286±154 mm Al for digital analysis and 292±173 mm Al for densitometric analysis (R2=0.98). Total RBAE on medial-lateral view from the digital radiographs averaged 539±137 mm Al for digital analysis and 530±165 mm Al for densitometric analysis (R2=0.95). The results demonstrate high correlations between analyses, thereby validating that digital analysis yields similar results as densitometric analysis. Digital radiographs, with increased clarity as compared to traditional films, should allow greater ability to detect treatment differences in research trials, and monitor changes associated with training or nutrition.

Author(s):  
Adela Chirita-Emandi ◽  
Sheila Shepherd ◽  
Andreas Kyriakou ◽  
Jane D. McNeilly ◽  
Carol Dryden ◽  
...  

AbstractBackground:We aimed to describe the longitudinal changes in bone mineral content and influencing factors, in children with cystic fibrosis (CF).Methods:One hundred children (50 females) had dual X-ray absorptiometry (DXA) performed. Of these, 48 and 24 children had two to three scans, respectively over 10 years of follow-up. DXA data were expressed as lumbar spine bone mineral content standard deviation score (LSBMCSDS) adjusted for age, gender, ethnicity and bone area. Markers of disease, anthropometry and bone biochemistry were collected retrospectively.Results:Baseline LSBMCSDS was >0.5 SDS in 13% children, between −0.5; 0.5 SDS, in 50% and ≤−0.5 in the remainder. Seventy-eight percent of the children who had baseline LSBMCSDS >−0.5, and 35% of the children with poor baseline (LSBMCSDS<−0.5), showed decreasing values in subsequent assessments. However, mean LS BMC SDS did not show a significant decline in subsequent assessments (−0.51; −0.64; −0.56; p=0.178). Lower forced expiratory volume in 1 s percent (FEV1%) low body mass index standard deviation scores (BMI SDS) and vitamin D were associated with reduction in BMC.Conclusions:Bone mineral content as assessed by DXA is sub-optimal and decreases with time in most children with CF and this study has highlighted parameters that can be addressed to improve bone health.


2013 ◽  
Author(s):  
N Hangartner Thomas ◽  
F Short David ◽  
Gilsanz Vicente ◽  
J Kalkwarf Heidi ◽  
M Lappe Joan ◽  
...  

2017 ◽  
Author(s):  
Saara Valkama ◽  
Heli Viljakainen ◽  
Elisa Holmlund-Suila ◽  
Jenni Rosendahl ◽  
Helena Hauta-alus ◽  
...  

2014 ◽  
Author(s):  
Julian A Waung ◽  
J H Duncan Bassett ◽  
Graham R Williams

1988 ◽  
Vol 59 (2) ◽  
pp. 173-175 ◽  
Author(s):  
Torbjorn Ahl ◽  
Hans-Erik Sjoberg ◽  
Nils Dalen

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