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Clinical Implementation
Value Proposition
Patellar tendon-lateral femoral condyle friction syndrome (PT-LFCFS), also known as Hoffa fat pad impingement syndrome is a common cause of anterior knee pain. Related to patellar maltracking, there is impingement of the superolateral aspect of the infrapatellar fat pad (aka Hoffa fat pad) between the patellar tendon and the lateral femoral condyle. This finding can be subtle on MRI and can be missed by the radiologist.
Narrative(s)
A 32-year-old male presents with a history of chronic anterior knee pain. Radiologists can miss subtle cases of PF-LFCFS on MRI (PD-weighted images with fat-saturation/T2-weighted images with fat-saturation/STIR - i.e. fluid-sensitive sequence with fat suppression) and can benefit from an algorithm that can detect and alert the radiologist.
Workflow Description
Images obtained from the MRI are sent to the PACS/viewer and the AI model. The AI model analyzes the images. The model identifies an area of high signal intensity (on PD-WI with FS and T2-WI with FS) in the superolateral aspect of the infrapatellar fat pad. A message is sent to both the PACS/viewer and the reporting solution from the model with this information.
Considerations for Dataset Development
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Procedures(s) |
{MRI Knee} |
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View(s) |
{Axial, Sagittal} |
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Sex at Birth |
{Male, Female} |
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Age |
[12, 60] |
Technical Specifications
Inputs
DICOM Study
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Procedure |
MRI Knee |
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Views |
Axial , Sagittal |
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Data Type |
DICOM |
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Modality |
MRI |
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Body Region |
Lower Extremity |
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Anatomic Focus |
Knee |
Primary Outputs
Patellar Tendon-Lateral Femoral Condyle Friction Syndrome Detection
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RadElement ID |
RDE980 |
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Definition |
Patellar tendon-lateral femoral condyle friction syndrome |
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Data Type |
Categorical |
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Value Set |
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Units |
N/A |
Future Development Ideas
For the first version, the detection of abnormal signal intensity of the fat pad can be detected. The AI developers should be aware that this area can have a mass, cystic lesion, and fibrosis as a part of the spectrum of abnormality in this region. Other associated findings like lateral patellar tilt/subluxation and patella alta can be incorporated in the future versions. Of note, a recent surgery can cause abnormality in this region. As a result, future versions of the AI models will need to be able to take this into account.