ArticleSurgical and radiologic anatomy : SRA2021
Measuring stiffness of normal medial collateral ligament in healthy volunteers via shear wave elastography.
Article in Surgical and radiologic anatomy : SRA, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed, 15 citations in OpenAlex.
- Ultrasonographic Knee Abnormalities and Their Association with Pain in Young Male Handball and Basketball Athletes: A Cross-Sectional Study.Diagnostics (Basel, Switzerland) · 2026Article
- Shear Wave Elastography in Musculoskeletal Imaging: A Narrative Review.Journal of clinical medicine · 2026Review
- Exploring biomechanical differences between brain-first and body-first Parkinson's disease subtypes using shear wave elastography: a pilot cross-sectional study.Frontiers in aging neuroscience · 2026Article
- Impact of intravitreal aflibercept on ocular and periocular tissue elasticity: a shear wave elastography study in diabetic retinopathy.BMC medical imaging · 2025Article
- A Dual-Transducer Approach for High-Resolution and High-Precision Shear Wave Elasticity Imaging.Sensors (Basel, Switzerland) · 2025Article
- Ultrasound Shear Wave Elastography of the Arch-Supporting Structures in Symptomatic Flatfoot: A Pilot Study.Foot & ankle orthopaedics · 2024Article
- Regional assessments of supraspinatus muscle stiffness in normal adults using shear wave elastography.Heliyon · 2023Article
- Mapping of lumbar multifidus stiffness Quantification in ankylosing spondylitis with shear-wave elastography.BMC musculoskeletal disorders · 2022Article
- Article
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 at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeWe aim to determine a reference data set for normal medial collateral ligament (MCL) stiffness values using shear wave elastography (SWE).
methodsQuantitative stiffness of the MCL was measured at three levels: the proximal (MCL area from the level of the medial meniscus to the level of the femoral attachment), the middle (MCL area at the level of the medial meniscus), and the distal (MCL area from the level of the medial meniscus to the level of the tibial attachment) segments of the MCL at a knee position of 0°.
resultsA total of 60 MCL of 30 healthy volunteers (15 female, 15 male) were examined. The mean stiffness values of the proximal, middle, and distal MCL for observer 1 were 32.25 ± 6.44, 34.25 ± 6.84, and 35.47 ± 6.98, respectively. The mean stiffness values of the proximal, middle, and distal MCL for observer 2 were 33.56 ± 6.76, 35.44 ± 6.91, and 36.32 ± 7.04, respectively.
conclusionSWE has a strong potential to be a method of choice for evaluating MCL stiffness. Our study participants were healthy volunteers and the data can be used as reference data for future studies.
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.