Abstract

In this study, we aimed to assess the impact of personalized 3D printing osteotomy guide plates and artificial intelligence (AI) three-dimensional surgical planning in total knee arthroplasty (TKA) for knee osteoarthritis. The clinical data of 60 knee osteoarthritis patients were collected, with 30 undergoing personalized 3D printing osteotomy guide plate-assisted TKA (3D-TKA) and 30 undergoing AI 3D surgical planning-assisted TKA (AI-TKA). Surgical outcomes were comprehensively evaluated, including operation time, intraoperative blood loss, postoperative drainage, hospitalization duration, surgical angles (HKA, FTC, FFC), pain scores (VAS), and Hospital for Special Surgery Scores (HSS).Significant differences emerged between the two groups, favoring the 3D-TKA approach. Notably, the 3D-TKA group exhibited a shorter operation time (81.4±8.9 min vs. 72.9±10.0 min), reduced intraoperative blood loss (160.1±24.3 ml vs. 174.7±25.7 ml), lower postoperative drainage (199.5±29.6 ml vs. 223.8±29.2 ml), and a shorter hospital stay (7.7±1.3 d vs. 6.8±1.6 d) (P<0.05). In the immediate postoperative period, the 3D-TKA group demonstrated significantly lower VAS scores (5.4±0.6 vs. 6.2±1.2) (P<0.05). However, there were no significant differences in measured angle deviations, pain scores, and HSS scores at various time points between the groups (P>0.05).Collectively, both 3D-TKA and AI-TKA approaches yielded improved surgical outcomes and precision for treating knee osteoarthritis. While AI-TKA demonstrated advantages in terms of operation time and hospitalization duration, the 3D-TKA approach proved superior in reducing perioperative blood loss and early postoperative pain. These findings underscore the potential of advanced technological interventions to optimize surgical efficacy and patient outcomes in total knee arthroplasty.

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