Department of Surgery, Uniformed Services University, School of Medicine, Bethesda, Maryland.
JPS Health Network, Department of Orthopaedic Surgery, Fort Worth, Texas.
J Hand Surg Am. 2022 Jul;47(7):677-684. doi: 10.1016/j.jhsa.2022.03.014.
One of the most popular treatment algorithms for Kienböck disease is based on a progression of successive radiographic changes that was developed in the 1970s. Since then, 2 other important classifications systems have been introduced. One is centered on contrasted magnetic resonance imaging findings and the other, articular cartilage degeneration. All 3 systems have been used, in isolation, to recommend specific treatment modalities. To coordinate all available clinical data and to simplify the treatment selection process, we combined the 3 classification systems into 1 unified classification and treatment algorithm. With the added consideration of some recently introduced surgical options and further knowledge of how Kienböck disease affects children and the elderly, we anticipate that this unified classification system will allow for a more precise and individualized treatment plan.
对于月骨缺血性坏死(Kienböck 病),目前最常用的治疗方案之一是基于 20 世纪 70 年代提出的一系列影像学进展。此后,又引入了另外两种重要的分类系统,一种基于对比磁共振成像的发现,另一种则基于关节软骨退变。这三种系统均已单独用于推荐特定的治疗方式。为了整合所有现有的临床数据并简化治疗选择过程,我们将这三种分类系统整合为一个统一的分类和治疗算法。考虑到一些最近引入的手术方案,并进一步了解 Kienböck 病对儿童和老年人的影响,我们预计这种统一的分类系统将能够制定出更精确、更个体化的治疗计划。