Dual-energy X-ray absorptiometry (DXA) to absorpcjometria o podwójnej energii, która stanowi „złoty standard” w diagnostyce i monitorowaniu osteoporozy, umożliwiając ocenę gęstości kości. Pozwala także dokonać analizy składu ciała, oszacować prawdopodobieństwo złamań kości oraz określić ich architekturę. W polskich warunkach DXA jest wciąż rzadko wykonywanym badaniem o niewykorzystanych możliwościach diagnostycznych. Celem pracy jest przedstawienie techniki badania i możliwości diagnostycznych DXA.
EN
DXA (Dual-energy X-ray absorptiometry) is a dual-energy absorptiometry that is currently used to measure bone mineral density. It is the gold standard in the diagnosis and monitoring of osteoporosis. It also allows analyzing body composition, estimating the likelihood of bone fractures and determining their architecture. In Polish conditions, DXA is still a rarely performed diagnostic method and unrealized diagnostic possibilities. The purpose of the work is to present the diagnostic capabilities and examination technique of DXA.
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Among the population over the age of 65 years joint diseases constitute more than 50% of chronic diseases and most often apply to the hip. Endoprosthetics is one of the methods for treating this condition and is considered one of the best - clinically and economically - interventions of the modern medicine. However, it is not free of complications among which the loosening of the endoprosthesis is commonest. In publications, a full discussion has been going on arguing whether the complication is caused by biological or mechanical factors. The authors - aiming to answer this question based on CT - tested the influence of the implantation of the acetabular component on the pelvic bone density in Hounsfield units within a 6-month period after the operation. The test results indicate the bone density decrease. The statistical analysis shows, however, that the changes are not statistically significant.
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The aim of our study is to design and compare some predictive models for estimating the Bone Mineral Density score (BMD) t-score. The data were collected, except the t-score, by self-report from 356 women recruited from the Cantacuzino Hospital, Bucharest, Romania, during the period 1998-2003. The following methods are tuned and compared on this data: the General Regression Model (GRM), the Classification Trees (CT) and the Multilayer Perceptrons Network (MLP). Comparatively with a number of different bone densitometry criteria, currently used in clinical practice, we show that each of the above investigated models have a better sensitivity and specificity.
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