Hwang Donghwan, Kim Chul-Ho, Lee Yongkoo, Kim Ji Wan
Medical Device Development Center, Daegu-Gyeongbuk Medical Innovation Foundation, Daegu, Republic of Korea.
Department of Orthopaedic Surgery, Chung-Ang University Hospital, Chung-Ang University College of Medicine, Seoul, Republic of Korea.
Osteoporos Int. 2022 Jun;33(6):1285-1293. doi: 10.1007/s00198-021-06173-1. Epub 2022 Feb 3.
Atypical femoral fractures (AFFs) are categorized as low-energy fractures of the femoral shaft or subtrochanteric region. The use of computed tomography-based finite element analysis demonstrated that the femoral weakest point against tensile stress coincided with AFF location, which was determined by the lower limb axis and femoral bowing.
This study aimed to assess the relationship between the femoral weakest point against tensile stress and the lower limb axis and geometry, including femoral bowing, using a computed tomography (CT)-based finite element analysis (FEA) model.
We retrospectively reviewed 19 patients with AFFs and analyzed their CT images of the contralateral intact femur. We performed FEA to find the maximum principal stress (MPS) and maximal tensile stress loading area (femoral weakest point, FWP) of each patient and matched the FWP with the real location of AFF. We applied mechanical axes differently, as neutral, varus, and valgus, in the FEA model, when we analyzed the change in MPS and FWP based on lower limb alignment. We compared the degree of agreement between the real fracture location and FWP before and after knee mechanical axis adjustment.
The average participant age was 75.9 (range, 61-87) years, and all participants were women. In the 19 patients included, we observed 20 and 7 shaft and subtrochanteric AFFs, respectively. The average mechanical axis at the knee joint level was 22.6 mm (range, 0-70 mm) of the varus. All the patients showed an increasing trend of MPS and a distal movement of FWP when the mechanical axis of the knee was applied from the valgus to varus alignment. The root mean square errors between the FWP and real fracture location were 14.58% and 10.87% before and after adjustment, respectively, implying that the degree of agreement was better in patients who underwent mechanical adjustment.
The use of CT/FEA demonstrated that the FWP against tensile stress coincided with AFF location, which was determined by the lower limb axis and femoral bowing.
非典型股骨骨折(AFFs)被归类为股骨干或转子下区域的低能量骨折。基于计算机断层扫描的有限元分析表明,股骨抗拉伸应力的最弱点与AFF的位置一致,该位置由下肢轴线和股骨弯曲度决定。
本研究旨在使用基于计算机断层扫描(CT)的有限元分析(FEA)模型,评估股骨抗拉伸应力的最弱点与下肢轴线及几何形状(包括股骨弯曲度)之间的关系。
我们回顾性分析了19例AFF患者,并分析了他们对侧完整股骨的CT图像。我们进行有限元分析以找到每位患者的最大主应力(MPS)和最大拉伸应力加载区域(股骨最弱点,FWP),并将FWP与AFF的实际位置进行匹配。在有限元分析模型中,当我们基于下肢对线分析MPS和FWP的变化时,我们以中立、内翻和外翻的不同方式应用机械轴线。我们比较了膝关节机械轴线调整前后实际骨折位置与FWP之间的一致性程度。
参与者的平均年龄为75.9岁(范围61 - 87岁),所有参与者均为女性。在纳入的19例患者中,我们分别观察到20例股骨干和7例转子下AFF。膝关节水平的平均机械轴线内翻为22.6毫米(范围0 - 70毫米)。当膝关节的机械轴线从外翻调整为内翻对线时,所有患者的MPS均呈增加趋势,FWP向远端移动。调整前后FWP与实际骨折位置之间的均方根误差分别为14.58%和10.87%,这意味着接受机械调整的患者一致性程度更好。
CT/FEA的应用表明,抗拉伸应力的FWP与AFF位置一致,该位置由下肢轴线和股骨弯曲度决定。