Hemophilic arthropathy (HA) is a serious complication of haemophilia, characterized by bone and cartilage damage due to recurrent joint bleeding. Existing evidence showed HA has a fast disease progression. MRI-based evaluation plays an important role in the detection, categorization and staging of soft tissue and osteochondral changes in HA, which is important for assessing and monitoring treatment outcomes. However, currently semi-quantitative scoring system based on conventional MRI images cannot give an objective assessment of knee cartilage damage. To this end, this study for the first time used an automatic segmentation algorithm to quantitatively evaluate the morphological change of knee cartilage in HA.
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