Baba Tomonori, Homma Yasuhiro, Ochi Hironori, Kobayashi Hideo, Matsumoto Mikio, Sakamoto Yuko, Kuwahara Hirotomo, Maeda Kouichi, Kaneko Kazuo
Department of Orthopedic Surgery, Juntendo University School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, Japan,
Int Orthop. 2015 Sep;39(9):1695-9. doi: 10.1007/s00264-015-2674-1. Epub 2015 Jan 22.
Baba classification for periprosthetic femoral fracture focuses on the positional relationship between the implant design and fracture site. The objective of this study was to investigate whether the addition of CT images and implant information to plain radiograms increases the reliability of Baba classification to a level higher than that of Vancouver classification.
Twenty patients were randomly selected from 61 patients with periprosthetic femoral fracture between 2009 and 2014. After Vancouver and Baba classifications were fully explained to six orthopedic surgeons (three experts and three non-experts), plain radiograms, CT imaging and implant information at the time of injury were presented, and the inter- and intra-observer reliability based on the Vancouver and Baba classifications and accuracy rates of stem stability were investigated.
When interobserver reliability was made based on only radiograms, the mean κ value of Baba classification-based judgments made by the experts was 0.76, and those of Vancouver classification-based judgments made by the experts was 0.41. When interobserver reliability was made based on the radiograms and CT images and implant information, the mean κ value of Baba classification-based judgments made by the experts was 0.94, and those of Vancouver classification-based judgments were 0.48. Intra-observer reliability of Baba classification was 0.81 in the experts. Validity analysis showed 95.0% agreement within all subgroups.
Reliability and validity of Baba classification was improved when additional information was given. We believe that this new classification is useful to establish a therapeutic strategy for femoral fractures around the stem.
假体周围股骨骨折的 Baba 分类侧重于植入物设计与骨折部位之间的位置关系。本研究的目的是调查在 X 光片上增加 CT 图像和植入物信息是否能将 Baba 分类的可靠性提高到高于温哥华分类的水平。
从 2009 年至 2014 年期间的 61 例假体周围股骨骨折患者中随机选取 20 例。在向六位骨科医生(三位专家和三位非专家)充分解释温哥华分类和 Baba 分类后,展示受伤时的 X 光片、CT 成像和植入物信息,并调查基于温哥华分类和 Baba 分类的观察者间和观察者内可靠性以及柄稳定性的准确率。
仅基于 X 光片进行观察者间可靠性评估时,专家做出的基于 Baba 分类判断的平均 κ 值为 0.76,基于温哥华分类判断的平均 κ 值为 0.41。当基于 X 光片、CT 图像和植入物信息进行观察者间可靠性评估时,专家做出的基于 Baba 分类判断的平均 κ 值为 0.94,基于温哥华分类判断的平均 κ 值为 0.48。专家中 Baba 分类的观察者内可靠性为 0.81。有效性分析显示所有亚组内的一致性为 95.0%。
提供额外信息时,Baba 分类的可靠性和有效性得到提高。我们认为这种新分类对于制定股骨柄周围骨折的治疗策略是有用的。