Analyze My Knee
Conditions
AI-powered MCL and LCL tear detection on knee MRI. Grade collateral ligament sprains from mild to complete rupture with associated bone bruise and meniscal injury assessment. 4 AI models in parallel.
The medial collateral ligament (MCL) and lateral collateral ligament (LCL) are the primary stabilizers against valgus and varus forces at the knee. MCL injuries are far more common, typically resulting from contact sports or direct blows to the lateral knee, while LCL tears occur from varus stress or hyperextension mechanisms. Our AI consortium evaluates ligament integrity, periligamentous edema, and associated injuries across multiple MRI sequences. The multi-model approach helps classify injury grade (I through III) and identifies concomitant meniscal or cruciate ligament damage that frequently accompanies collateral ligament tears.
Collateral ligament tears are graded I–III based on fiber integrity. Grade I shows periligamentous edema with intact fibers, Grade II shows partial fiber disruption, and Grade III shows complete discontinuity. The AI consortium evaluates coronal PD-FS sequences to assess each grade and identify bony avulsion at ligament attachment sites.
Coronal PD fat-saturated sequences provide the clearest view of the MCL and LCL along their full length. The AI consortium supplements coronal review with axial images to assess the posterolateral corner complex, which is frequently injured alongside the LCL.
Isolated Grade I–II MCL tears typically heal with conservative management. Complete Grade III tears, especially of the LCL or those associated with posterolateral corner injuries, often require surgical repair or reconstruction. The AI consortium characterizes tear grade and associated injuries to inform the clinical conversation, but surgical decisions rest with the treating orthopedic surgeon.
Understand ACL tear grading from mild sprains to complete ruptures, MRI findings for each grade, and treatment implications.
Understand the differences between ACL and MCL tears, injury mechanisms, symptoms, MRI findings, and treatment approaches.
Upload your MRI or X-ray DICOM files for private, AI-powered analysis. 4 models analyze independently — all data stays in your browser.
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