ReviewRadiology2021
The QIBA Profile for MRI-based Compositional Imaging of Knee Cartilage.
Review in Radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 1 of them a synthesis that pooled it.
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
49 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Immediate and Delayed Effects of Joint Loading Activities on Knee and Hip Cartilage: A Systematic Review and Meta-analysis.Sports medicine - open · 2023Pooled it
- Reproducibility of T2 relaxation time mapping in a phantom and human knee articular cartilage.Magma (New York, N.Y.) · 2026Article
- Association of Baseline Femoral Trochlear T2* Mapping with Clinical Response to Platelet-Rich Plasma in Patellofemoral Chondropathy: A Retrospective Exploratory Study.Journal of clinical medicine · 2026Article
- Aptamer-Functionalized Nanocarriers for Bone and Joint Diseases: Engineering Design Rules and Translational Roadmap.Small science · 2026Article
- Longitudinal quantitative T2 mapping and SPECT-CT assessment of unloading therapy within a randomized controlled trial for medial knee osteoarthritis.Quantitative imaging in medicine and surgery · 2026Article
- Detection of Early Knee Osteoarthritis Using Multi-Component TJournal of magnetic resonance imaging : JMRI · 2026Article
- Deep learning-enhanced, accelerated cartilage TSkeletal radiology · 2026Article
- Posterior Horn Meniscus Centroid Position Is Altered Soon After Noncontact ACL Injury in Males and Females.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2026Article
- Advances in cartilage imaging techniques.Nature reviews. Rheumatology · 2026Review
- Early Knee Osteoarthritis Detection by Multi-Component TBioengineering (Basel, Switzerland) · 2026Article
- Rapid and robust quantitative cartilage assessment for the clinical setting: deep learning-enhanced accelerated T2 mapping.Skeletal radiology · 2026Article
- Accelerated motion-robust abdominal 3D T1ρ mapping using diamond radial sampling.Magnetic resonance in medicine · 2026Article
- The role of radiography and MRI as screening tools and outcome measures in clinical trials of knee osteoarthritis: a perspective on the current status and outlook.Therapeutic advances in musculoskeletal disease · 2026Review
- Utilizing 3D fast spin echo anatomical imaging to reduce the number of contrast preparations inMagnetic resonance in medicine · 2025Article
- Exercise-Induced Changes in Knee Cartilage In Vivo: Comparing MRI Sequences.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2025Article
- Association between constant and intermittent knee pain and T2 values and cartilage thickness: data from the osteoarthritis initiative.Arthritis research & therapy · 2025Article
- Articular Cartilage Arthrokinematics and Compositional Measurements With qMRI 1 to 2 Years After ACL Reconstruction With Meniscal Surgery.The American journal of sports medicine · 2025Article
- Sports Radiology: A Key Driver of Clinical Decision-Making.Diagnostics (Basel, Switzerland) · 2025Article
- Article
- A Multi-view Open-access Dataset of Paired Knee MRI for Motion Artifact Removal.Scientific data · 2025Article
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Authors and funding
9 authors.
Funding
Abstract
MRI-based cartilage compositional analysis shows biochemical and microstructural changes at early stages of osteoarthritis before changes become visible with structural MRI sequences and arthroscopy. This could help with early diagnosis, risk assessment, and treatment monitoring of osteoarthritis. Spin-lattice relaxation time constant in rotating frame (T1ρ) and T2 mapping are the MRI techniques best established for assessing cartilage composition. Only T2 mapping is currently commercially available, which is sensitive to water, collagen content, and orientation of collagen fibers, whereas T1ρ is more sensitive to proteoglycan content. Clinical application of cartilage compositional imaging is limited by high variability and suboptimal reproducibility of the biomarkers, which was the motivation for creating the Quantitative Imaging Biomarkers Alliance (QIBA) Profile for cartilage compositional imaging by the Musculoskeletal Biomarkers Committee of the QIBA. The profile aims at providing recommendations to improve reproducibility and to standardize cartilage compositional imaging. The QIBA Profile provides two complementary claims (summary statements of the technical performance of the quantitative imaging biomarkers that are being profiled) regarding the reproducibility of biomarkers. First, cartilage T1ρ and T2 values are measurable at 3.0-T MRI with a within-subject coefficient of variation of 4%-5%. Second, a measured increase or decrease in T1ρ and T2 of 14% or more indicates a minimum detectable change with 95% confidence. If only an increase in T1ρ and T2 values is expected (progressive cartilage degeneration), then an increase of 12% represents a minimum detectable change over time. The QIBA Profile provides recommendations for clinical researchers, clinicians, and industry scientists pertaining to image data acquisition, analysis, and interpretation and assessment procedures for T1ρ and T2 cartilage imaging and test-retest conformance. This special report aims to provide the rationale for the proposed claims, explain the content of the QIBA Profile, and highlight the future needs and developments for MRI-based cartilage compositional imaging for risk prediction, early diagnosis, and treatment monitoring of osteoarthritis.
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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.