ReviewSkeletal radiology2026
Acute and chronic injury of the knee articular cartilage: prevalence, injury mechanisms, MRI assessment and association with osteoarthritis.
Review in Skeletal radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Introduction to the special issue on imaging of the knee.Skeletal radiology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Knee articular cartilage lesions resulting from acute or chronic injury are frequently encountered in routine clinical magnetic resonance imaging (MRI). Acute lesions typically occur following recreational or athletic activity and are often associated with concomitant internal knee derangements, whereaschronic lesions are thought to result from repetitive loading that exceeds physiological thresholds in both magnitude and frequency. Accurate characterization of cartilage lesion size, depth, and subchondral bone involvement is clinically relevant, as it directly influences therapeutic decision-making. In clinical practice, MRI evaluation of the knee cartilage is primarily performed using intermediate-weighted, two-dimensional fast spin-echo sequences, preferably with high spatial resolution and at 3 Tesla. Looking ahead, machine learning approaches hold promise for improving the prediction of osteoarthritis by integrating pathologic imaging findings with complementary sources of information such as clinical parameters, quantitative biomarkers, and patient-reported outcomes.
Indexed as
Identifiers
What Socratic 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 Socratic graph.