ReviewMagnetic resonance imaging2020
Magnetic resonance imaging (MRI) studies of knee joint under mechanical loading: Review.
Review in Magnetic resonance imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 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
23 citing papers in PubMed.
- Knee Joint Motion Detection Based on Demodulation of Overlapping Spectrum Using Fiber Bragg Grating Sensor.Sensors (Basel, Switzerland) · 2026Article
- Biomechanical analysis of medial tibial cartilage by 7T magnetic resonance imaging and digital volume correlation: a preliminary study of variations caused meniscus ramp lesions.Journal of orthopaedic surgery and research · 2025Article
- MRI-based patient-specific nomogram for diagnostic risk stratification of patients with early knee OA.Rheumatology (Oxford, England) · 2025Article
- Quantitative MRI-measured composition changes despite small mechanical measures in tibiofemoral cartilage of healthy adults under applied load.Journal of biomechanics · 2025Article
- KNN algorithm for accurate identification of IFP lesions in the knee joint: a multimodal MRI study.Scientific reports · 2025Article
- Teaming up to overcome challenges toward translation of new therapeutics for osteoarthritis.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2024Article
- Considerations on Image Preprocessing Techniques Required by Deep Learning Models. The Case of the Knee MRIs.Maedica · 2024Article
- Validation of a rapid collagenase activity detection technique based on fluorescent quenched gelatin with synovial fluid samples.BMC biotechnology · 2024Article
- Tibial and femoral articular cartilage exhibit opposite outcomes for T1ρ and T2* relaxation times in response to acute compressive loading in healthy knees.Journal of biomechanics · 2024Article
- Imaging of joint response to exercise with MRI and PET.Skeletal radiology · 2023Review
- Numerical investigation of patellar instability during knee flexion due to an unbalanced medial retinaculum loading effect.Journal of orthopaedics · 2023Article
- The application of machine learning in early diagnosis of osteoarthritis: a narrative review.Therapeutic advances in musculoskeletal disease · 2023Review
- A novel multipurpose device for guided knee motion and loading during dynamic magnetic resonance imaging.Zeitschrift fur medizinische Physik · 2022Article
- Relationship between Classification of Fabellae and the Severity of Knee Osteoarthritis: A Relevant Study in the Chinese Population.Orthopaedic surgery · 2022Article
- Article
- The MRI-based 3D morphologic changes of knee meniscus under knee weight-bearing and early flexion conditions.Scientific reports · 2021Observational
- Unnecessary magnetic resonance imaging of the knee: How much is it really costing the NHS?Annals of medicine and surgery (2012) · 2021Review
- In-Situ Cartilage Functionality Assessment Based on Advanced MRI Techniques and Precise Compartmental Knee Joint Loading through Varus and Valgus Stress.Diagnostics (Basel, Switzerland) · 2021Article
- Ultrashort echo time adiabatic TMagnetic resonance imaging · 2021Article
- An MRI-compatible varus-valgus loading device for whole-knee joint functionality assessment based on compartmental compression: a proof-of-concept study.Magma (New York, N.Y.) · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Osteoarthritis (OA) is a very common disease that affects the human knee joint, particularly the articular cartilage and meniscus components which are regularly under compressive mechanical loads. Early-stage OA diagnosis is essential as it allows for timely intervention. The primary non-invasive approaches currently available for OA diagnosis include magnetic resonance imaging (MRI), which provides excellent soft tissue contrast at high spatial resolution. MRI-based knee investigation is usually performed on joints at rest or in a non-weight-bearing condition that does not mimic the actual physiological condition of the joint. This discrepancy may lead to missed detections of early-stage OA or of minor lesions. The mechanical properties of degenerated musculoskeletal (MSK) tissues may vary markedly before any significant morphological or structural changes detectable by MRI. Recognizing distinct deformation characteristics of these tissues under known mechanical loads may reveal crucial joint lesions or mechanical malfunctions which result from early-stage OA. This review article summarizes the large number of MRI-based investigations on knee joints under mechanical loading which have been reported in the literature including the corresponding MRI measures, the MRI-compatible devices employed, and potential challenges due to the limitations of clinical MRI sequences.
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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.