ArticleBMC musculoskeletal disorders2023
Comparison of 3D quantitative osteoarthritis imaging biomarkers from paired CT and MR images: data from the IMI-APPROACH study.
Article in BMC musculoskeletal disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03883568 (A 2-year Multicentre, EU, Exploratory Study Without Therapeutic Benefit in Patients With Knee Osteoarthritis to Describe, Validate, and Predict Phenotypes of Knee Osteoarthritis by Use of Clinical, Imaging, and Biochemical), which is not on this map. Cited by 11 papers.
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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.
A 2-year Multicentre, EU, Exploratory Study Without Therapeutic Benefit in Patients With Knee Osteoarthritis to Describe, Validate, and Predict Phenotypes of Knee Osteoarthritis by Use of Clinical, Imaging, and Biochemical (Bio)Markers.
Who cites it
11 citing papers in PubMed.
- Longitudinal 3D quantification of joint space from CT images: Semi-automatic segmentation and feasibility of nnU-Net automation.Osteoarthritis imaging · 2026Article
- High-Fidelity Measurement-Based Detection Values and Roles of Three-Dimensional Joint Space Width in Evaluation of Knee Osteoarthritis.Orthopaedic surgery · 2026Article
- Review
- Advances in cartilage imaging techniques.Nature reviews. Rheumatology · 2026Review
- 3D bone shape from CT-scans provides an objective measure of osteoarthritis severity: Data from the IMI-APPROACH study.Osteoarthritis imaging · 2024Article
- The design of a sample rapid magnetic resonance imaging (MRI) acquisition protocol supporting assessment of multiple articular tissues and pathologies in knee osteoarthritis.Osteoarthritis and cartilage open · 2024Article
- Prognostic value of B-score for predicting joint replacement in the context of osteoarthritis phenotypes: Data from the osteoarthritis initiative.Osteoarthritis and cartilage open · 2024Article
- Knowledge mapping and bibliometric analysis of medical knee magnetic resonance imaging for knee osteoarthritis (2004-2023).Frontiers in surgery · 2024Article
- Using 3D MRI Bone Shape to Predict Pre-Osteoarthritis of the Knee 2 Years After Anterior Cruciate Ligament Reconstruction.The American journal of sports medicine · 2023Article
- The Role of Cone-Beam Computed Tomography CT Extremity Arthrography in the Preoperative Assessment of Osteoarthritis.Tomography (Ann Arbor, Mich.) · 2023Article
- Pre-Planning the Surgical Target for Optimal Implant Positioning in Robotic-Assisted Total Knee Arthroplasty.Bioengineering (Basel, Switzerland) · 2023Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionMRI bone surface area and femoral bone shape (B-score) measures have been employed as quantitative endpoints in DMOAD clinical trials. Computerized Tomography (CT) imaging is more commonly used for 3D visualization of bony anatomy due to its high bone-soft tissue contrast. We aimed to compare CT and MRI assessments of 3D imaging biomarkers.
methodsWe used baseline and 24-month image data from the IMI-APPROACH 2-year prospective cohort study. Femur and tibia were automatically segmented using active appearance models, a machine-learning method, to measure 3D bone shape, area and 3D joint space width (3DJSW). Linear regression was used to test for correlation between measures. Limits of agreement and bias were tested using Bland-Altman analysis.
resultsCT-MR pairs of the same knee were available from 434 participants (78% female). B-scores from CT and MR were strongly correlated (CCC = 0.967) with minimal bias of 0.1 (SDD = 0.227). Area measures were also correlated but showed a consistent bias (MR smaller). 3DJSW showed different biases (MR larger) in both lateral and medial compartments. DISCUSSION: The strong correlation and small B-score bias suggests that B-score may be measured reliably using either modality. It is likely that the bone surface identified using MR and CT will be at slightly different positions within the bone/cartilage boundary. The negative bone area bias suggests the MR bone boundary is inside the CT boundary producing smaller areas for MR, consistent with the positive 3DJSW bias. The lateral-medial 3DJSW difference is possibly due to a difference in knee pose during acquisition (extended for CT, flexed for MR).
trial registrationNCT03883568.
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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 Socratic graph.