Observational studyInternational orthopaedics2026
Diagnostic value of postoperative magnetic resonance imaging in predicting clinical outcomes after meniscal repair: A retrospective cohort study.
Observational study in International orthopaedics, 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.
Corrections and comments
- Commented on by
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMagnetic resonance imaging (MRI) is widely used to evaluate meniscal healing after surgical repair; however, the extent to which postoperative MRI findings reflect clinically meaningful recovery remains uncertain. This study aimed to examine the relationship between MRI-based healing appearance and patient-reported functional outcomes after meniscal repair.
methodsThis retrospective observational study included adult patients who underwent arthroscopic meniscal repair between January 2018 and December 2024 at a tertiary care centre. Patients with at least 12 months of follow-up, available postoperative MRI, and complete clinical outcome data were included. Postoperative MRI was obtained at a mean of 18.6 ± 7.4 months after surgery (range: 12-36 months). Meniscal healing on MRI was classified as complete healing, partial healing, or failed healing/retear. Clinical outcomes were assessed using the International Knee Documentation Committee (IKDC), Lysholm, and Tegner scores. Clinical success was defined as IKDC ≥ 80 and Lysholm ≥ 85. The association between MRI healing status and clinical outcomes was evaluated using group comparisons and correlation analyses.
resultsA total of 240 patients (mean age 27.4 ± 6.8 years; 71.7% male) were analyzed. MRI demonstrated complete healing in 40.8% of patients, partial healing in 31.7%, and failed healing or retear in 27.5%. Mean IKDC, Lysholm, and Tegner scores differed significantly across MRI groups (all p ≤ 0.002), with lower scores observed in patients with MRI-defined failure. However, 63.6% of patients classified as having failed healing on MRI met the criteria for clinical success. MRI healing status showed moderate correlations with IKDC (r = 0.42), Lysholm (r = 0.39), and Tegner (r = 0.31) scores (all p < 0.001). The MRI-IKDC correlation was higher in patients who underwent concomitant anterior cruciate ligament reconstruction than in those who underwent isolated meniscal repair.
conclusionsPostoperative MRI appearance after meniscal repair is associated with patient-reported and functional outcomes, but the strength of this relationship is limited. MRI-defined structural abnormalities may persist despite satisfactory clinical recovery, indicating that MRI has restricted specificity for identifying clinically meaningful failure. These findings suggest that MRI should be interpreted in conjunction with clinical assessment rather than used as a standalone indicator of postoperative success.
Indexed as
Identifiers
42103885What 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.