ArticleRadiology2021
Quantitative Three-dimensional Assessment of Knee Joint Space Width from Weight-bearing CT.
Article in Radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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
27 citing papers in PubMed, 39 citations in OpenAlex.
- 3-D landmarking repeatability emphasizes challenges in scan positioning during weight bearing CT of the knee.Osteoarthritis imaging · 2026Article
- The clinical utility of imaging in osteoarthritis and its importance in future prediction of total hip replacement; a nested case-control study within the AGES-Reykjavik cohort.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2026Article
- High-Fidelity Measurement-Based Detection Values and Roles of Three-Dimensional Joint Space Width in Evaluation of Knee Osteoarthritis.Orthopaedic surgery · 2026Article
- Three-dimensional subtalar joint space mapping identifies sinus tarsi-predominant structural compromise in early- versus end-stage varus ankle osteoarthritis.Journal of orthopaedic surgery and research · 2026Article
- Osteoarthritis: Epidemiology, Diagnosis, and Treatment.MedComm · 2026Review
- Review
- Article
- 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
- Usefulness of 3D joint space width on weight-bearing CT in comparison with 2D joint space width on radiographs for predicting 24-month worsening of knee osteoarthritis pain and function in the MOST study.Osteoarthritis and cartilage · 2026Article
- Weight-bearing computed tomography in knee pathologies: current evidence and future perspectives.Frontiers in surgery · 2026Review
- Comparative evaluation of weight-bearing cone beam CT arthrography and supine 3T MRI in knee osteoarthritis.Osteoarthritis imaging · 2025Article
- Baseline loss of knee extension is associated with regional MRI progression in knee osteoarthritis: a retrospective longitudinal cohort study-data from the osteoarthritis initiative.Rheumatology international · 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
- Weight bearing 3-D joint space width distribution at the knee varies according to location and extent of meniscal extrusion: A MOST investigation.Osteoarthritis imaging · 2024Article
- Trends in the Use of Weightbearing Computed Tomography.Journal of clinical medicine · 2024Review
- Semi-quantitative weight-bearing assessment of knee osteoarthritis: COAKS (CT Osteoarthritis Knee Score) reliability.Osteoarthritis imaging · 2024Article
- Subchondral bone expansion in advanced knee osteoarthritis: Relation with radiographic severity and role in surgical decision-making.Osteoarthritis and cartilage open · 2024Article
- Quantitative assessment of the knee joint from weight bearing computed tomography.Osteoarthritis imaging · 2024Article
- 3-D joint space mapping at the ankle from weight-bearing CT: reproducibility, repeatability, and challenges for standardisation.European radiology · 2023Article
Corrections and comments
- Commented on by
Authors and funding
9 authors at 5 institutions in 2 countries.
Funding
Abstract
Background Imaging of structural disease in osteoarthritis has traditionally relied on MRI and radiography. Joint space mapping (JSM) can be used to quantitatively map joint space width (JSW) in three dimensions from CT images. Purpose To demonstrate the reproducibility, repeatability, and feasibility of JSM of the knee using weight-bearing CT images. Materials and Methods Two convenience samples of weight-bearing CT images of left and right knees with radiographic Kellgren-Lawrence grades (KLGs) less than or equal to 2 were acquired from 2014 to 2018 and were analyzed retrospectively with JSM to deliver three-dimensional JSW maps. For reproducibility, images of three sets of knees were used for novice training, and then the JSM output was compared against an expert's assessment. JSM was also performed on 2-week follow-up images in the second cohort, yielding three-dimensional JSW difference maps for repeatability. Statistical parametric mapping was performed on all knee imaging data (KLG, 0-4) to show the feasibility of a surface-based analysis in three dimensions. Results Reproducibility (in 20 individuals; mean age, 58 years ± 7 [standard deviation]; mean body mass index, 28 kg/m
Indexed as
Identifiers
What 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.