ArticleOsteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA2026
Side-to-side differences in hip bone mineral density and associated morphological factors.
Article in Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
In the analysis of 82 participants using quantitative computed tomography (QCT) images, side-to-side differences in hip bone mineral density were 3.0%. Gluteal muscle volume and femoral anteversion asymmetry contributed to these discrepancies. Bilateral hip assessment may improve the detection of osteoporosis, particularly when QCT data are available. PURPOSE: Side-to-side differences in hip bone mineral density (BMD) are occasionally observed in clinical practice. However, the factors contributing to this asymmetry remain unclear. Therefore, this study aimed to quantify differences in BMD between the right and left hips and identify morphological factors associated with these differences using quantitative computed tomography (QCT).
methodsThis prospective study included 82 adults (median age: 75 years) without a history of lower extremity disorders. Bilateral total hip BMD was calculated from the QCT data using a previously validated deep learning method. Side-to-side percentage differences were calculated. Participants with differences exceeding 5%, the least significant change recommended for dual-energy X-ray absorptiometry (DXA), were identified. Morphological variables, including gluteal muscle volume and femoral anteversion, were extracted bilaterally, and multivariate analyses were performed to examine their associations with BMD differences.
resultsThe median side-to-side BMD difference was 3.0% (interquartile range: 1.6%-5.8%). In 26% of the participants, the BMD differences exceeded 5%. When bilateral data were used, the proportion of participants with T-scores ≤ - 2.5 increased by 2%. Multivariate analysis revealed that greater differences in gluteal muscle volume and femoral anteversion were independently associated with larger differences in BMD. Specifically, the side with smaller gluteal muscle volume and greater femoral anteversion exhibited lower BMD.
conclusionsA considerable proportion of older adults exhibited clinically relevant side-to-side differences in hip BMD. Given that unilateral DXA measurements may underestimate the risk of osteoporosis, bilateral hip assessment is recommended whenever possible, particularly when QCT images are available for opportunistic osteoporosis screening.
Indexed as
Identifiers
42484877What OpenQuestion holds
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.