胫骨平台骨折
冠状面
断裂(地质)
关节面
高原(数学)
口腔正畸科
地质学
固定(群体遗传学)
人工智能
内固定
医学
计算机科学
外科
数学
放射科
环境卫生
数学分析
岩土工程
人口
作者
Maurício Kfuri,J. Schatzker
标识
DOI:10.1016/j.injury.2018.11.010
摘要
Tibial plateau fractures have a broad spectrum of presentations, depending on the mechanism and energy of the trauma. Many classification systems are currently available to describe these injuries. In 1974, Schatzker proposed a classification based on a two-dimensional representation of the fracture. His classification with the six-principles types became one of the most utilized classification systems for tibial plateau fractures. More than four decades after this original publication, we are revisiting each fracture type in the light of information made available by computed tomography, which today comprises a standard tool in assessing articular fractures. The classification we are proposing relies on the fact that the tibial plateau has two anatomical columns, lateral and medial. We are introducing a virtual equator which splits the articular surface in the coronal plane. The equator divides each column into two quadrants, the anterior (A) and the posterior (P). Unicondylar fracture types (I to IV) have now additional modifiers A (anterior) and P (posterior) to describe the exact spatial location of the primary fracture plane. Bicondylar fracture types (V and VI) have the modifiers (A and P) of the main fracture plane for each column, and lateral (L) and medial (M) to denote the column. We are introducing the concept of the main fracture plane. Recognition of the exact location of the principal fracture plane is essential for preoperative planning of patient positioning, surgical approach and for determining where to apply the hardware to achieve stable fixation. The new three-dimensional classification is based on the template of the original Schatzker classification. It covers the mechanism of the injury, the energy of the trauma, the morphologic characteristics of the fracture and its location in three dimensions.
科研通智能强力驱动
Strongly Powered by AbleSci AI