Clinical application of artificial intelligence-assisted three-dimensional planning in direct anterior approach hip arthroplasty

作者：Weihua Yang, Tianyi Gao, Xingyu Liu, Kaiwei Shen, Feitai Lin, Yan Weng, Bei Lin, Liang Deng, Eryou Feng, Yiling Zhang · 发表于：International Orthopaedics · 年份：2023 · DOI：10.1007/s00264-023-06029-9 · 被引用次数：28 · 研究领域：Orthopaedic implants and arthroplasty、Total Knee Arthroplasty Outcomes、Hip disorders and treatments

PURPOSE: The objective of this study was to investigate the efficacy of an artificial intelligence-assisted 3D planning system (AIHIP) in total hip arthroplasty by direct anterior approach and assess the reliability of the AIHIP preoperative program in terms of both interobserver and intraobserver agreement. METHODS: A retrospective analysis was conducted on patients who underwent unilateral primary THA via direct anterior approach from June 2019 to March 2022. Participants were randomly assigned to receive either the AIHIP system (n = 220) or the 2D template (control group) (n = 220) for preoperative planning. The primary outcome aimed to evaluate the correspondence between the prosthesis selected intro-operation and the one planned preoperatively, as well as to calculate the intraclass correlation coefficient (ICC). Secondary outcomes included operation time, intraoperative blood loss, fluoroscopy times, Harris hip score (HHS), lower limb length difference (LLD), femoral offset (FO), and bilateral femoral offset difference. RESULTS: No significant differences were observed in gender, age, body mass index (BMI), aetiology, and American Society of Anesthesiologists (ASA) score between the two groups. Both planning methods exhibited good intraobserver agreement for component planning (ICC: 0.941-0.976). Interobserver agreement for component planning was comparable between the two methods (ICC: 0.882-0.929). In the AIHIP group, the accuracy of acetabular cup and femoral stem pr...