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The thesis titled “Advancements in Leg Malalignment Imaging” focuses on enhancing imaging techniques for knee osteoarthritis patients with leg malalignment. In the field of knee osteoarthritis, the root cause of leg malalignment is sometimes underexplored. The efforts by the author, H. Chien Nguyen, aim to improve the quality of disease trait information obtained from radiographic imaging techniques. Enhanced efficiency and accuracy of radiographic disease parameters are intended to aid physicians in treating knee osteoarthritis and leg malalignment. More importantly, these advancements will further the field of knee osteoarthritis research.

The achieved advancements in radiographic techniques include enhanced and standardized protocols for quantifying leg malalignment, automated software for analyzing knee osteoarthritis parameters on radiographs, and crucial insights into the potential pitfalls of using 2D radiographs. Consequently, the subsequent chapters of this thesis describe the development and application of various 3D techniques to further enhance the treatment and understanding of leg malalignment and knee osteoarthritis.

Research into the specific combination of leg malalignment and knee osteoarthritis is expected to lead to a comprehensive understanding of the underlying drivers, enabling predictions about which patients will develop knee osteoarthritis. Achieving this goal would have a significant societal impact, as osteoarthritis is an irreversible disease with no effective treatment options, severely limiting the lives of many patients. Projections indicate that the burden of osteoarthritis will only increase in the coming decades.