ACL Non-Operative Treatment Risk Estimator
Based on the BABY-Knee Algorithm (Grassi et al., J Exp Orthop 2025)
Your details
Required so your result can be labelled and saved as a personal report.
1. Growth plate status up to 2 pts
This affects how much your knee's ligaments are expected to stretch or fail with instability.
Please select your sex and, if your MRI report or surgeon has stated it, your skeletal (bone) age:
2. Meniscal tear pattern on MRI up to 3 pts
Taken from your radiologist's MRI report. Select the option that best matches β if more than one tear is mentioned, select the more severe.
3. Bone bruising pattern on MRI 1 pt
Look for mention of bone bruising / bone marrow oedema on the outer (lateral) side of the knee β this is very common with ACL injuries.
4. How the injury happened 1 pt
5. Pivot-shift test result 1 pt
This is a hands-on knee exam done by a surgeon or physiotherapist β it cannot be assessed by yourself, and many patients won't yet know this result. If you're unsure, choose "Not assessed."
Score breakdown
Interpretation
What this score has meant in the original study
These figures come from a single study of 75 growing patients (55 surgical, 20 initially non-surgical). They are a guide to typical outcomes in that specific group β not a personalised prediction, and not yet confirmed in adults or in larger studies.
For additional context: average scores by outcome in the original study
| Treated surgically from the start | 5.6 | |
| Non-op initially, later failed & needed surgery | 4.7 | |
| Non-op initially, successful (no surgery needed) | 2.1 |
This shows a general trend β higher scores were associated with surgical treatment and with non-operative treatment failing β but these are group averages, not a per-point risk calculation, and shouldn't be read as "each extra point adds X% risk."
Adapted from: Grassi A, Borque K, Dietvorst M, et al. Creation and validation of a treatment algorithm for skeletally immature patients with acute anterior cruciate ligament injury based on MRI and patient characteristics. J Exp Orthop. 2025;12:e70280.