ArticleJournal of magnetic resonance imaging : JMRI2018
MRI and biomechanics multidimensional data analysis reveals R
Article in Journal of magnetic resonance imaging : JMRI, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.
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
26 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.
- Pooled it
- Development and validation of a generalisable survival model to predict osteoarthritis progression.Osteoarthritis and cartilage open · 2025Article
- Scoping Review of Machine Learning Techniques in Marker-Based Clinical Gait Analysis.Bioengineering (Basel, Switzerland) · 2025Review
- Bibliometric analysis of the application of artificial intelligence in orthopedic imaging.Quantitative imaging in medicine and surgery · 2025Article
- Effects of TJournal of magnetic resonance imaging : JMRI · 2024Article
- Synthetic Knee MRI TBioengineering (Basel, Switzerland) · 2023Article
- Artificial intelligence and ChatGPT in Orthopaedics and sports medicine.Journal of experimental orthopaedics · 2023Review
- The application of machine learning in early diagnosis of osteoarthritis: a narrative review.Therapeutic advances in musculoskeletal disease · 2023Review
- Adversarial Evolving Neural Network for Longitudinal Knee Osteoarthritis Prediction.IEEE transactions on medical imaging · 2022Article
- Topological data analysis in biomedicine: A review.Journal of biomedical informatics · 2022Review
- Applications of artificial intelligence and machine learning for the hip and knee surgeon: current state and implications for the future.International orthopaedics · 2022Review
- Leveraging explainable machine learning to identify gait biomechanical parameters associated with anterior cruciate ligament injury.Scientific reports · 2022Article
- Magnetization-prepared spoiled gradient-echo snapshot imaging for efficient measurement of RMagnetic resonance in medicine · 2022Article
- Investigating the Association of Metabolic Biomarkers With Knee Cartilage Composition and Structural Abnormalities Using MRI: A Pilot Study.Cartilage · 2021Article
- Identifying Robust Risk Factors for Knee Osteoarthritis Progression: An Evolutionary Machine Learning Approach.Healthcare (Basel, Switzerland) · 2021Article
- Prediction of Joint Space Narrowing Progression in Knee Osteoarthritis Patients.Diagnostics (Basel, Switzerland) · 2021Article
- A Deep Learning Model to Predict Knee Osteoarthritis Based on Nonimage Longitudinal Medical Record.Journal of multidisciplinary healthcare · 2021Article
- Use of machine learning in geriatric clinical care for chronic diseases: a systematic literature review.JAMIA open · 2020Review
- Machine learning in knee osteoarthritis: A review.Osteoarthritis and cartilage open · 2020Review
- Diagnosing osteoarthritis from TOsteoarthritis and cartilage · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 4 institutions in 1 country.
Funding
Abstract
purposeTo couple quantitative compositional MRI, gait analysis, and machine learning multidimensional data analysis to study osteoarthritis (OA). OA is a multifactorial disorder accompanied by biochemical and morphological changes in the articular cartilage, modulated by skeletal biomechanics and gait. While we can now acquire detailed information about the knee joint structure and function, we are not yet able to leverage the multifactorial factors for diagnosis and disease management of knee OA. MATERIALS AND
methodsWe mapped 178 subjects in a multidimensional space integrating: demographic, clinical information, gait kinematics and kinetics, cartilage compositional T
resultsThe results of the TDA showed a network composed of three main patient subpopulations, thus potentially identifying new phenotypes. T
conclusionThe analysis presented demonstrates some of the complex multitissue biochemical and biomechanical interactions that define joint degeneration and OA using a multidimensional approach, and potentially indicates that R LEVEL OF EVIDENCE: 3 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2018;47:78-90.
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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.