Simulation of osteotomy in total knee arthroplasty with femoral extra-articular deformity assisted by artificial intelligence: a study based on three-dimensional models.

IF 2.8 3区 医学 Q1 ORTHOPEDICS
Chen Meng, Sheng Yang, Yiling Zhang, Lili Yang, Hongxin Shi, Yongqing Xu, Chuan Li
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Abstract

Background: The impact of extra-articular deformities (EADs) on lower limb alignment and collateral ligament integrity during total knee arthroplasty (TKA) poses significant challenges, increasing surgical complexity. Our study aims to evaluate the influence of EADs on mechanical axis alignment and the risk of collateral ligament injury during TKA using an AI-assisted surgical planning system, with the goal of minimizing ligament damage through precise and scientific planning.

Methods: A healthy volunteer underwent CT and MRI scans of the lower limbs. The scan images were imported into Mimics 20.0 software, and the reconstructed models were spatially aligned using 3-maticResearch 11.0 software. Using Unigraphics NX9.0 software, 50 three-dimensional models of femoral lateral joint deformities with varying positions and angles were created. Finally, TKA was simulated using the AI JOINT preoperative planning system.

Results: The larger the deformity angle and the closer it is to the knee joint, the more pronounced the deviation of the mechanical axis. During MA-aligned osteotomy, nine types of deformities can damage the collateral ligaments. After adjusting the varus/valgus of the prosthesis within a safe range of 3° and leaving a residual 3° varus/valgus in the lower limb alignment, only the 25° varus and 25° valgus deformities located at 90% of the femoral anatomical axis remain uncorrected.

Conclusion: For patients with osteoarthritis and concurrent EAD undergoing TKA, using reconstructed 3D models of the collateral ligaments for preoperative planning helps visually assess collateral ligament damage, providing a practical solution. Minimizing intra-articular osteotomies within a safe range and allowing some residual alignment deviation can reduce the risk of collateral ligament injury.

人工智能辅助股骨外畸形全膝关节置换术截骨模拟:基于三维模型的研究。
背景:在全膝关节置换术(TKA)中,关节外畸形(EAD)对下肢对位和副韧带完整性的影响构成了重大挑战,增加了手术的复杂性。我们的研究旨在利用人工智能辅助手术规划系统评估 EAD 对机械轴对齐的影响以及 TKA 期间副韧带损伤的风险,目的是通过精确、科学的规划最大限度地减少韧带损伤:一名健康志愿者接受了下肢 CT 和 MRI 扫描。扫描图像被导入 Mimics 20.0 软件,并使用 3-maticResearch 11.0 软件对重建模型进行空间对齐。使用 Unigraphics NX9.0 软件创建了 50 个不同位置和角度的股外侧关节畸形三维模型。最后,使用 AI JOINT 术前计划系统模拟了 TKA:结果:畸形角度越大,越靠近膝关节,机械轴的偏差越明显。在 MA 对齐截骨术中,有九种畸形会损伤副韧带。在将假体的曲度/外翻度调整到3°的安全范围内,并在下肢对位中保留3°的残余曲度/外翻度后,只有位于股骨解剖轴90%处的25°曲度和25°外翻度畸形仍未矫正:结论:对于患有骨关节炎并同时伴有EAD、接受TKA手术的患者,使用重建的副韧带三维模型进行术前规划有助于直观地评估副韧带损伤情况,提供了一种实用的解决方案。在安全范围内尽量减少关节内截骨,并允许一定的残余对位偏差,可降低副韧带损伤的风险。
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来源期刊
CiteScore
4.10
自引率
7.70%
发文量
494
审稿时长
>12 weeks
期刊介绍: Journal of Orthopaedic Surgery and Research is an open access journal that encompasses all aspects of clinical and basic research studies related to musculoskeletal issues. Orthopaedic research is conducted at clinical and basic science levels. With the advancement of new technologies and the increasing expectation and demand from doctors and patients, we are witnessing an enormous growth in clinical orthopaedic research, particularly in the fields of traumatology, spinal surgery, joint replacement, sports medicine, musculoskeletal tumour management, hand microsurgery, foot and ankle surgery, paediatric orthopaedic, and orthopaedic rehabilitation. The involvement of basic science ranges from molecular, cellular, structural and functional perspectives to tissue engineering, gait analysis, automation and robotic surgery. Implant and biomaterial designs are new disciplines that complement clinical applications. JOSR encourages the publication of multidisciplinary research with collaboration amongst clinicians and scientists from different disciplines, which will be the trend in the coming decades.
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