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Acetabular defects in revision hip arthroplasty: a therapy-oriented classification

机译:翻修髋关节置换术中的髋臼缺损:以治疗为导向的分类

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摘要

Introduction The treatment of severe acetabular bone loss remains a difficult challenge. No classification system is available that combines intuitive use, structured design and offers a therapeutic recommendation according to the current literature and modern state of the art treatment options. The goal of this study is to introduce an intuitive, reproducible and reliable guideline for the evaluation and treatment of acetabular defects. Methods The proposed Acetabular Defect Classification (ADC) is based on the integrity of the acetabular rim and supporting structures. It consists of 4 main types of defects ascending in severity and subdivisions narrowing down-defect location. Type 1 presents an intact acetabular rim, type 2 includes a noncontained defect of the acetabular rim <= 10 mm, in type 3 the rim defect exceeds 10 mm and type 4 includes different kinds of pelvic discontinuity. A collective of 207 preoperative radiographs were graded according to ADC and correlated with intraoperative findings. Additionally, a randomized sample of 80 patients was graded according to ADC by 5 observers to account for inter- and intra-rater reliability. Results We evaluated the agreement of preoperative, radiographic grading and intraoperative findings presenting with a k value of 0.74. Interobserver agreement presented with a k value of 0.62 and intraobserver at a k value of 0.78. Conclusion The ADC offers an intuitive, reliable and reproducible classification system. It guides the surgeon pre- and intraoperatively through a complex field of practice.
机译:引言 严重髋臼骨质流失的治疗仍然是一个艰巨的挑战。没有一种分类系统能够结合直观的使用、结构化的设计,并根据当前文献和现代最先进的治疗方案提供治疗建议。本研究的目的是为髋臼缺损的评估和治疗引入直观、可重复和可靠的指南。方法 根据髋臼边缘和支撑结构的完整性,提出髋臼缺损分类(ADC)。它由 4 种主要类型的缺陷组成,其严重程度依次递增,并细分缩小缺陷位置。1 型表现为完整的髋臼边缘,2 型包括髋臼边缘的非封闭缺损 <= 10 mm,在 3 型中,边缘缺损超过 10 mm,4 型包括不同类型的骨盆不连续性。根据 ADC 对 207 张术前 X 光片进行分级,并与术中发现相关。此外,5 名观察者根据 ADC 对 80 名患者的随机样本进行分级,以考虑评分者间和评分者内的可靠性。结果 我们评估了术前、影像学分级和术中检查结果的一致性,k值为0.74。观察者间一致性的 k 值为 0.62,观察者内的 k 值为 0.78。结论 ADC提供了一个直观、可靠和可重复的分类系统。它指导外科医生在术前和术中完成复杂的实践领域。

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