ArticleScientific reports2018
A new quantitative 3D approach to imaging of structural joint disease.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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
11 citing papers in PubMed.
- Evaluation of the use of segmentation-based and deconvolution-based three-dimensional joint space width analysis of the hand and wrist.JBMR plus · 2026Article
- Article
- Sex differences in photon-counting detector computed tomography-derived scaphotrapeziotrapezoid joint morphometrics.Skeletal radiology · 2025Article
- Weight-bearing CT as an approach to assess femoral-acetabular displacement during external rotation stress in the hip.Journal of hip preservation surgery · 2025Article
- 3-D joint space mapping at the ankle from weight-bearing CT: reproducibility, repeatability, and challenges for standardisation.European radiology · 2023Article
- Improved responsiveness to change in joint space width over 24-month follow-up: comparison of 3D JSW on weight-bearing CT vs 2D JSW on radiographs in the MOST study.Osteoarthritis and cartilage · 2023Article
- Multiparametric 3-D analysis of bone and joint space width at the knee from weight bearing computed tomography.Osteoarthritis imaging · 2022Article
- Landmark-free morphometric analysis of knee osteoarthritis using joint statistical models of bone shape and articular space variability.Journal of medical imaging (Bellingham, Wash.) · 2021Article
- Quantitative Three-dimensional Assessment of Knee Joint Space Width from Weight-bearing CT.Radiology · 2021Article
- Comparison of clinical and radiographic signs of hip osteoarthritis in contralateral hip joints of fifty working dogs.PloS one · 2021Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Imaging of joints with 2D radiography has not been able to detect therapeutic success in research trials while 3D imaging, used regularly in the clinic, has not been approved for this purpose. We present a new 3D approach to this challenge called joint space mapping (JSM) that measures joint space width in 3D from standard clinical computed tomography (CT) data, demonstrating its analysis steps, technical validation, and reproducibility. Using high resolution peripheral quantitative CT as gold standard, we show a marginal over-estimation in accuracy of +0.13 mm and precision of ±0.32 mm. Inter-operator reproducibility bias was near-zero at -0.03 mm with limits of agreement ±0.29 mm and a root mean square coefficient of variation 7.5%. In a technical advance, we present results from across the hip joint in 3D with optimum validation and reproducibility metrics shown at inner joint regions. We also show JSM versatility using different imaging data sets and discuss potential applications. This 3D mapping approach provides information with greater sensitivity than reported for current radiographic methods that could result in improved patient stratification and treatment monitoring.
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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.