ArticleOsteoarthritis and cartilage2013
T₁ρ and T₂ relaxation times predict progression of knee osteoarthritis.
Article in Osteoarthritis and cartilage, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 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
83 citing papers in PubMed, 1 synthesis or guideline pooled it.
- MRI T2 and T1ρ relaxation in patients at risk for knee osteoarthritis: a systematic review and meta-analysis.BMC musculoskeletal disorders · 2019Pooled it
- Trial
- Subregional laminar cartilage MR spin-spin relaxation times (T2) in osteoarthritic knees with and without medial femorotibial cartilage loss - data from the Osteoarthritis Initiative (OAI).Osteoarthritis and cartilage · 2017Trial
- Efficacy of strength and aerobic exercise on patient-reported outcomes and structural changes in patients with knee osteoarthritis: study protocol for a randomized controlled trial.BMC musculoskeletal disorders · 2013Trial
- Intra-Articular Injection of Human Bone Marrow-Derived Mesenchymal Stem Cells in Knee Osteoarthritis: A Randomized, Double-Blind, Controlled Trial.Cell transplantationTrial
- OpenMSK: A modular open-source framework for comprehensive analysis of imaging biomarkers in knee osteoarthritis.Osteoarthritis and cartilage open · 2026Article
- Diffusion Tensor Imaging of Knee Cartilage for Detection of Early Osteoarthritis and Prediction of Radiographic Progression.Journal of magnetic resonance imaging : JMRI · 2026Article
- Measures of resting cartilage structure and composition in runners with and without knee osteoarthritis.Osteoarthritis and cartilage open · 2026Article
- Deep learning-enhanced, accelerated cartilage TSkeletal radiology · 2026Article
- Advances in cartilage imaging techniques.Nature reviews. Rheumatology · 2026Review
- Beyond the Surface: Nutritional Interventions Integrated with Diagnostic Imaging Tools to Target and Preserve Cartilage Integrity: A Narrative Review.Biomedicines · 2025Review
- Quantitative ultrashort echo time MR imaging of knee osteochondral junction: An ex vivo feasibility study.NMR in biomedicine · 2024Article
- Feasibility of 3D MRI fingerprinting for rapid knee cartilage TNMR in biomedicine · 2024Article
- Gaining Insight into Updated MR Imaging for Quantitative Assessment of Cartilage Injury in Knee Osteoarthritis.Current rheumatology reports · 2024Review
- Compositional MR imaging of cartilage and joint mechanics.Osteoarthritis imaging · 2024Article
- Effect of functional knee loading on articular cartilage MRI T2 relaxation time and thickness in patients at risk for knee osteoarthritis.Osteoarthritis imaging · 2024Article
- Weightlessness damaged the ultrastructure of knee cartilage and quadriceps muscle, aggravated the degeneration of cartilage.Annals of joint · 2024Article
- MRI-based TSkeletal radiology · 2023Review
- Delayed cartilage oligomeric matrix protein response to loading is associated with femoral cartilage composition post-ACLR.European journal of applied physiology · 2023Article
- Detection and Quantitative Assessment of Arthroscopically Proven Long Biceps Tendon Pathologies Using T2 Mapping.Tomography (Ann Arbor, Mich.) · 2023Article
23 more citing papers are in PubMed but not listed here.
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
objectiveTo evaluate whether T(2) and T(1ρ) relaxation times of knee cartilage determined with 3T magnetic resonance imaging (MRI) at baseline predict longitudinal progression of cartilage degenerative changes.
methodsQuantitative analysis of cartilage was performed using 3T MRI with both T(2) and T(1ρ) mapping techniques in 55 subjects without evidence of severe osteoarthritis (OA) [Kellgren-Lawrence (KL) score of 0-3] at baseline. Morphological abnormalities of cartilage, menisci, ligaments and bone marrow were analyzed on sagittal fat-saturated intermediate-weighted fast spin echo (FSE) sequences. Progression of degenerative changes was analyzed over a period of 2 years. Progression was detected in 27 subjects while in 28 subjects no changes were found. Differences between T(2) and T(1ρ) relaxation times in these two cohorts were compared using one-way analysis of variance (ANOVA) and t tests.
resultsBaseline T(2) and T(1ρ) values were significantly higher in the progression cohort in all compartments (P < 0.05) except the lateral tibia (LT) for T(2) and the medial tibia (MT) for T(1ρ). Progression of cartilage degenerative disease was most pronounced at the medial femoral condyles and at the femoro-patellar joint; differences between the two cohorts for T(2) and T(1ρ) were also most significant in these compartments.
conclusionsT(2) and T(1ρ) measurements were significantly higher at baseline in individuals that showed progression of cartilage abnormalities over a period of 2 years and may therefore serve as potential predictors for progression of degenerative cartilage abnormalities in knee OA.
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.