HKA-Net: clinically-adapted deep learning for automated measurement of hip-knee-ankle angle on lower limb radiography for knee osteoarthritis assessment

HKA-Net: clinically-adapted deep learning for automated measurement of hip-knee-ankle angle on lower limb radiography for knee osteoarthritis assessment

Abstract Background Accurate measurement of the hip-knee-ankle (HKA) angle is essential for informed clinical decision-making in the management of knee osteoarthritis (OA). Knee OA is commonly associated with varus deformity, where the alignment of the knee shifts medially, leading to increased stre...

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Bibliographic Details
Main Authors: Young-Tak Kim, Beom-Su Han, Jung Bin Kim, Jason K. Sa, Je Hyeong Hong, Yunsik Son, Jae-Ho Han, Synho Do, Ji Seon Chae, Jung-Kwon Bae
Format: Article
Language:English
Published: BMC 2024-11-01
Series:Journal of Orthopaedic Surgery and Research
Subjects:
Hip-knee-ankle angle
Deep learning
Residual network
Varus deformity
Knee osteoarthritis
Lower limb scanogram
Online Access:https://doi.org/10.1186/s13018-024-05265-y
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https://doi.org/10.1186/s13018-024-05265-y

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