Advanced Analysis Techniques Improve Infant Bone and Body Composition Measures by Dual-Energy X-Ray Absorptiometry - 18/04/17
, Markus J. Sommer, BS 1, Bo Fan, MD 1, Cassidy Powers, BS 1, Lynda Stranix-Chibanda, MBChB, MMed 2, Amanda Zadzilka, BS 3, Michael Basar, BA 3, Kathy George, MPH 3, Cynthia Mukwasi-Kahari, BSc 2, George Siberry, MD, MPH 4Abstract |
Objective |
To evaluate a novel technique designed to reduce the negative impact of motion artifacts in infant dual-energy X-ray absorptiometry (DXA) scans.
Study design |
Using cross-sectional data from a large multicenter study, we developed and tested advanced methods for infant scan analysis. Newborns (n = 750) received spine and whole-body DXA scans with up to 3 attempts to acquire a motion free scan. Precision of infant DXA was estimated from visits with multiple valid scans. Accuracy of regional reflection, fusion, and omission techniques was estimated by comparing modified scans to unmodified valid scans. The effectiveness of the acquisition and analysis protocol was represented by the reduction in rate of failure to acquire valid results from infant visits.
Results |
For infant whole-body DXA, arm reflection and all fusion techniques caused no significant changes to bone mineral content, bone mineral density, bone area, total mass, fat mass, lean mass, and percentage fat. Leg reflection and arm/leg dual-reflection caused significant changes to total mass, but the percentage change remained small. For infant spine DXA, fusion and omission caused no significant changes. Advanced analysis techniques reduced the failure rate of whole-body scanning from 20.8% to 9.3% and the failure rate of spine scanning from 8.9% to 2.4%.
Conclusions |
Advanced analysis techniques significantly reduced the impact of motion artifacts on infant DXA scans. We suggest this protocol be used in future infant DXA research and clinical practice.
Il testo completo di questo articolo è disponibile in PDF.Keywords : bone mineral density, body composition, precision
Abbreviations : ARPANSA, BMC, BMD, DXA, ISCD, ROI, RMS, %CV
Mappa
| Funded by U.S. Department of Health and Human Services (UM1AI068616),National Institutes of Health (UM1AI068632), and National Institute of Allergy and Infectious Diseases (UM1AI106716). The authors declare no conflicts of interest. |
Vol 181
P. 248 - febbraio 2017 Ritorno al numeroBenvenuto su EM|consulte, il riferimento dei professionisti della salute.
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