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AI-powered Kienbock's disease detection on wrist MRI. Stage lunate avascular necrosis by Lichtman classification, assess collapse, and evaluate carpal alignment. 4 AI models detect early signal changes before X-ray findings.
Kienbock's disease is avascular necrosis of the lunate bone, the central keystone of the proximal carpal row. The lunate has a tenuous blood supply, making it vulnerable to ischemic injury from repetitive trauma, ulnar minus variance, or vascular anatomic variants. The disease progresses through stages defined by the Lichtman classification, from marrow edema through sclerosis, fragmentation, collapse, and ultimately carpal arthritis. MRI is the most sensitive modality for early detection and staging, often revealing signal changes before X-ray abnormalities appear. Our AI consortium analyzes wrist imaging to detect early lunate signal changes, assess disease stage, and evaluate carpal alignment.
Stage I shows normal X-rays with abnormal MRI signal (marrow edema). Stage II reveals lunate sclerosis on X-ray without collapse. Stage IIIA shows lunate collapse without carpal malalignment, while Stage IIIB adds fixed scaphoid flexion and proximal capitate migration. Stage IV demonstrates generalized radiocarpal and midcarpal arthritis. Treatment options vary significantly by stage, making accurate MRI staging critical for management decisions.
MRI detects changes in bone marrow signal that occur before structural bone changes are visible on X-ray. In Stage I, the lunate shows decreased T1 signal from marrow edema while maintaining its normal shape and height on X-ray. This early detection is important because treatment at earlier stages, such as joint leveling procedures for ulnar minus variance, has better outcomes than treatment after collapse has occurred.
Ulnar minus variance (the ulna being shorter than the radius) is strongly associated with Kienbock's disease. This anatomic variant concentrates compressive forces on the lunate through the radius, predisposing to vascular compromise. Radial shortening osteotomy or ulnar lengthening can equalize variance and reduce lunate loading, which is a primary surgical treatment for early-stage disease. Our AI measures ulnar variance on imaging.
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