Olewnik Łukasz, Landfald Ingrid C, Gonera Bartosz, Ruzik Kacper, LaPrade Robert F
Department of Clinical Anatomy, Mazovian Academy in Płock, 09-402 Pock, Poland.
VARIANTIS Research Laboratory, Mazovian Academy in Płock, 09-402 Pock, Poland.
J Clin Med. 2025 Sep 7;14(17):6322. doi: 10.3390/jcm14176322.
This review aims to synthesize current knowledge of anatomical variations of the popliteofibular ligament (PFL) and evaluate the clinical relevance of the classification system proposed by Olewnik et al. in the context of the diagnosis, surgical treatment, and rehabilitation of posterolateral corner (PLC) injuries. A comprehensive analysis of anatomical, surgical, and radiological studies concerning the PFL was conducted. The implications of PFL morphological variants were examined across clinical applications, with an emphasis on reconstructive strategies, imaging interpretation, and rehabilitation planning. Emerging research directions, including AI-supported imaging and personalized algorithms, were also explored. Olewnik's classification identifies three distinct types of PFL, each with unique structural and biomechanical properties. Recognizing these variants enhances intraoperative orientation, facilitates tailored surgical techniques, and supports individualized rehabilitation protocols. Variant-specific biomechanics, identified via cadaveric studies and imaging, are essential for optimizing functional outcomes and minimizing postoperative instability. Furthermore, the classification offers a platform for developing future diagnostic and decision-support tools using artificial intelligence. The Olewnik et al. classification system should be adopted as a modern anatomical standard for the PFL. Its integration into clinical practice has the potential to improve surgical precision, reduce complication rates, and enhance patient-specific treatment planning. This framework also supports future advancements in orthopedic imaging, education, and AI-driven diagnostics. Beyond descriptive anatomy, we provide a pragmatic surgical algorithm for PLC repair/reconstruction that accounts for scar- and fibrosis-dominated fields and the limited bone stock of the fibular head.
本综述旨在综合腘腓韧带(PFL)解剖变异的现有知识,并在外侧后角(PLC)损伤的诊断、手术治疗和康复背景下,评估Olewnik等人提出的分类系统的临床相关性。对有关PFL的解剖学、手术学和放射学研究进行了全面分析。在临床应用中研究了PFL形态变异的影响,重点是重建策略、影像解读和康复计划。还探索了包括人工智能支持的成像和个性化算法在内的新兴研究方向。Olewnik分类法确定了三种不同类型的PFL,每种类型都具有独特的结构和生物力学特性。认识到这些变异可增强术中定位,便于采用个性化手术技术,并支持个性化康复方案。通过尸体研究和成像确定的特定变异生物力学,对于优化功能结果和最小化术后不稳定至关重要。此外,该分类法为利用人工智能开发未来的诊断和决策支持工具提供了一个平台。应采用Olewnik等人的分类系统作为PFL的现代解剖学标准。将其纳入临床实践有可能提高手术精度、降低并发症发生率并加强针对患者的治疗计划。该框架还支持骨科成像、教育和人工智能驱动诊断的未来进展。除了解剖描述外,我们还提供了一种针对PLC修复/重建的实用手术算法,该算法考虑了以瘢痕和纤维化为主要特征的区域以及腓骨头骨量有限的情况。