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Recent MRI Studies Comparing Imaging Findings in ACL Graft Failure
This is a rapidly evolving area, with studies now spanning conventional signal analysis, quantitative MRI biomarkers, AI-driven scoring, tibial slope morphometry, and posterolateral corner evaluation. Below is a structured review organized by topic.
1. Core MRI Findings That Indicate Graft Failure
A 2026 pictorial review from Seminars in Musculoskeletal Radiology (Katal et al., DOI: 10.1055/s-0046-1817142) - the most current structured MRI reporting guide available - outlines the following key failure patterns on MRI:
| MRI Finding | Imaging Appearance | Clinical Correlation |
|---|
| Graft tear (complete/partial) | Discontinuity of graft fibers, irregular contour, high T2 signal intensity within graft | Instability, positive Lachman/pivot-shift |
| Graft impingement | Steep tibial tunnel angle, anterior tibial tunnel placement; graft contacts intercondylar roof | Flexion contracture, loss of extension |
| Graft stretching/attenuation | Graft intact but thinned, elongated, increased signal; associated tunnel widening | Laxity without complete fiber disruption |
| Arthrofibrosis / Cyclops lesion | Hypointense scar tissue on all sequences in the intercondylar notch; focal or diffuse | Loss of extension, anterior knee pain |
| Tunnel-related | Cystic changes, fluid collections around tunnels | Associated with bone tunnel osteolysis |
| Fixation device issues | Migration, loosening, or breakage of interference screw | Hardware-related mechanical symptoms |
The same review provides a structured MRI reporting template that radiologists should use when evaluating post-ACL reconstruction knees, covering: graft type, femoral/tibial tunnel position (using clock-face orientation), coronal tunnel angles, graft inclination, Figueroa's signal score, posterior tibial slope, and any identified complications.
2. Graft Signal Intensity and Maturation Assessment
Malahias et al. (2022, KSSTA) [PMID: 35039919] - Prospective cohort, Level III
Assessed signal-to-noise quotient (SNQ) on MRI at 9 months after hamstring autograft ACLR in 34 patients. Key findings:
- Mean SNQ of 0.078 ± 0.061 at 9 months
- 97% of grafts had excellent/good SNQ (<0.19), correlating with KT-1000 values <3 mm
- Importantly, SNQ remained significantly higher than native ACL controls (p<0.001), confirming ongoing ligamentization at 9 months
- No correlation between SNQ and age, sex, graft size, or concomitant injuries
Takeaway: Normal post-op MRI graft signal is still higher than native ACL at 9 months - a common pitfall for misreading a maturing graft as pathological. True failure requires fiber discontinuity or very high T2 signal, not just elevated SNQ during the ligamentization window.
3. AI-Based Graft Integrity Scoring (Thessaly Graft Index)
Chalatsis et al. (2025, JBJS Am) [PMID: 39919170] - Diagnostic Level IV
A landmark study introducing an AI-driven tool for MRI graft assessment:
- Used a YOLOv5 Nano AI model trained on healthy vs. injured ACL knees to compute the Thessaly Graft Index (TGI) - a 0-100 probability score of healthy ACL detection
- In 24 patients at 1-year follow-up:
- Mean preoperative TGI: 64.21 ± 8.96
- Mean postoperative TGI: 82.37 ± 3.53 (mean increase of 15%)
- Threshold for healthy graft: TGI ≥79.21%
- Two reruptured grafts scored 71% and 42% (vs. 82+ for intact grafts)
- TGI correlated moderately-to-well with KT-1000 (r=0.561), Lysholm (r=0.521), KOOS total (r=0.594), and Tegner Activity Scale (r=0.668)
- Radiologist assessment was in total agreement with TGI scores
Takeaway: AI-based MRI interpretation can reliably distinguish intact from reruptured grafts and correlates with functional outcomes - a promising standardization tool to eliminate inter-reader variability in graft assessment.
4. Preoperative MRI Measurements as Predictors of Failure
Zhang et al. (2025, JBJS Am) [PMID: 40063685] - Nested case-control, Level III, 5-year follow-up
72 patients with graft failure within 5 years vs. 144 matched controls after hamstring autograft ACLR. Three preoperative MRI measurements were significantly associated with failure:
| MRI Measurement | Cutoff Value | AUC | OR for Failure |
|---|
| Internal rotational tibial subluxation (IRTS) | ≥5.8 mm | 0.708 | OR 6.14 |
| Lateral posterior tibial slope (LPTS) | ≥8.5° | 0.655 | OR 4.19 |
| Lateral femoral condyle ratio (LFCR) | - | - | Significant |
IRTS had specificity of 89.6% and sensitivity of 41.7% at the 5.8 mm cutoff. Patients meeting IRTS threshold were 3.87x more likely to fail (HR) within a shorter time period.
Takeaway: Preoperative MRI can identify high-risk patients before surgery. Tibial subluxation and lateral compartment slope measurements should be standard in pre-op MRI reports for ACLR candidates.
5. Lateral vs. Medial Tibial Slope: A Key Discriminator
Buyukkuscu et al. (2025, BMC MSK) [PMID: 41184918] - Retrospective matched study
Compared 43 revision ACLR patients (failed within 2 years) vs. 43 controls. Key finding: lateral PTS, not medial PTS, predicts failure.
- Mean LPTS: 6.8° ± 3.6° (revision group) vs. 3.2° ± 5.7° (primary group), p<0.05
- Mean MPTS: 3.0° vs. 2.4°, not significant (p=0.56)
- ROC-determined LPTS cutoff: 6.0°
Garra et al. (2023, Am J Sports Med) [PMID: 38073181] - Cross-sectional, Level III
- Bilateral ACLR patients had significantly higher LPTS on MRI (7.32° vs. 6.08°, p=0.012) and greater rate of LPTS >7° (53.8% vs. 32.1%) compared to unilateral ACLR patients
- Radiographic PTS and MRI-based MPTS showed only weak correlation (R=0.24), while LPTS and radiographic PTS were not correlated at all - highlighting that MRI and X-ray slope measurements are not interchangeable; normative cutoff values must be modality-specific
Takeaway: Routine MRI slope measurement should specifically report LPTS. A lateral slope >6-8.5° (depending on the study) is a high-risk threshold that may warrant slope-reducing osteotomy consideration.
6. Quantitative MRI Biomarkers for Reinjury Prediction
Barnes et al. (2023, Am J Sports Med) [PMID: 36645042] - Cohort study, Level 2 (prospective BEAR trials)
In 119 patients who underwent bridge-enhanced ACL restoration (BEAR procedure), MRI at 6-9 months post-op was used to compute:
- Graft cross-sectional area
- Normalized signal intensity (NSI)
- qMRI-based predicted failure load (a composite index)
Results (16/119 patients required revision within 2 years):
- Lower qMRI-based predicted failure load was the only significant multivariable predictor of revision surgery (OR 0.71 per 100-N increase; p=0.044), after adjusting for age and PTS
- IKDC subjective scores at 6-9 months were associated in univariate analysis only
Takeaway: Quantitative MRI at 6-9 months post-op can predict revision risk 2 years later. This may justify routine post-op MRI surveillance in young, high-risk athletes rather than waiting for clinical failure.
7. Posterolateral Corner MRI - Often Missed, Often Causal
de Franca Santana et al. (2026, Skeletal Radiol) [PMID: 41627383] - Review
This 2026 review emphasizes that PLC injuries are associated with cruciate ligament insufficiency in nearly one-third of all ligamentous knee injuries. MRI findings in PLC injuries include:
- LCL, popliteofibular ligament, and popliteus complex tears
- Injury mechanism often involves hyperextension or rotational-varus stress (directly relevant to this patient's hyperextension episodes)
- Undiagnosed PLC injury is a documented cause of ACL graft failure by allowing residual rotational instability
- The review provides structured MRI reporting criteria and advocates for explicit PLC evaluation in all post-ACLR imaging
8. Post-Treatment Review: Normal vs. Abnormal Findings
Heuck & Woertler (2022, Semin Musculoskelet Radiol) [PMID: 35654092] - Comprehensive imaging review
This widely referenced review provides the conceptual foundation for interpreting post-ACLR MRI, covering:
- Normal ligamentization signal evolution over time
- Recognition of recurrent tears vs. expected signal changes
- Meniscal and chondral complications following ACL reconstruction
- Patterns distinguishing revision candidates from those needing conservative management
Summary Table: MRI Parameters in ACL Graft Evaluation
| Parameter | What to Measure | Failure Threshold | Evidence |
|---|
| T2 signal / SNQ | Graft signal intensity | High T2 signal, fiber discontinuity | PMID 35039919 |
| Figueroa's score | Semiquantitative maturation | Score 3+ indicates poor maturation | 2026 Thieme review |
| TGI (AI) | AI-based graft integrity | <79.21% suggests failure | PMID 39919170 |
| qMRI failure load | Cross-section + NSI composite | Lower = higher revision risk | PMID 36645042 |
| IRTS | Tibial subluxation on MRI | ≥5.8 mm (OR 6.14) | PMID 40063685 |
| LPTS | Lateral tibial slope | ≥6.0-8.5° | PMID 41184918, 40063685 |
| LFCR | Femoral condyle morphology | Increased ratio = risk | PMID 40063685 |
| Femoral tunnel position | Clock-face orientation | Outside 10-11 o'clock = malposition | 2026 Thieme review |
| PLC on MRI | LCL, popliteofibular, popliteus | Any tear = instability risk | PMID 41627383 |
Clinical Bottom Line
The current evidence makes clear that MRI evaluation of post-ACLR failure requires far more than just looking for "graft signal change." A modern structured MRI report should systematically document graft signal (ideally quantified), tunnel position and orientation, posterior tibial slope (specifically lateral compartment), tibial subluxation, PLC integrity, and any soft-tissue complications such as cyclops lesion or arthrofibrosis. AI tools like the Thessaly Graft Index offer a promising path toward standardizing what has historically been highly reader-dependent interpretation.