Trial reportBMC musculoskeletal disorders2007
A method for determining skeletal lengths from DXA images.
Trial report in BMC musculoskeletal disorders, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.
- Meta-analysis of genome-wide scans for human adult stature identifies novel Loci and associations with measures of skeletal frame size.PLoS genetics · 2009Pooled it
- Preliminary observations on the administration of a glucagon-like peptide-1 receptor agonist on body weight and select carbohydrate endpoints in persons with spinal cord injury: A controlled case series.The journal of spinal cord medicine · 2024Trial
- Skeletal disproportion in glucocorticoid-treated boys with Duchenne muscular dystrophy.European journal of pediatrics · 2019Trial
- Performance of Microsoft Azure Kinect DK as a tool for estimating human body segment lengths.Scientific reports · 2024Article
- Glucocorticoid treatment in juvenile idiopathic arthritis.Rheumatology international · 2019Review
- Relationship of body anthropometric measures with skeletal muscle mass and strength in a reference cohort of young Finnish women.Journal of musculoskeletal & neuronal interactions · 2017Article
- Is vitamin D a determinant of muscle mass and strength?Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2011Article
- Quantitative trait loci for bone lengths on chromosome 5 using dual energy X-Ray absorptiometry imaging in the Twins UK cohort.PloS one · 2008Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
backgroundSkeletal ratios and bone lengths are widely used in anthropology and forensic pathology and hip axis length is a useful predictor of fracture. The aim of this study was to show that skeletal ratios, such as length of femur to height, could be accurately measured from a DXA (dual energy X-ray absorptiometry) image.
methods90 normal Caucasian females, 18-80 years old, with whole body DXA data were used as subjects. Two methods, linear pixel count (LPC) and reticule and ruler (RET) were used to measure skeletal sizes on DXA images and compared with real clinical measures from 20 subjects and 20 x-rays of the femur and tibia taken in 2003.
resultsAlthough both methods were highly correlated, the LPC inter- and intra-observer error was lower at 1.6% compared to that of RET at 2.3%. Both methods correlated positively with real clinical measures, with LPC having a marginally stronger correlation coefficient (r2 = 0.94; r2 = 0.84; average r2 = 0.89) than RET (r2 = 0.86; r2 = 0.84; average r2 = 0.85) with X-rays and real measures respectively. Also, the time taken to use LPC was half that of RET at 5 minutes per scan.
conclusionSkeletal ratios can be accurately and precisely measured from DXA total body scan images. The LPC method is easy to use and relatively rapid. This new phenotype will be useful for osteoporosis research for individuals or large-scale epidemiological or genetic studies.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.