Role and significance of artificial intelligence preoperative planning in total hip arthroplasty

doi:10.12307/2023.798

Abstract

Abstract: BACKGROUND: The preoperative planning of traditional X-ray films is often inaccurate, which can lead to some intraoperative and postoperative complications, increase the operation time and intraoperative blood loss, and to some extent affect the surgical outcome of total hip arthroplasty.
OBJECTIVE: To investigate the accuracy and effectiveness of artificial intelligence preoperative planning in total hip arthroplasty.
METHODS: Sixty patients who underwent primary total hip arthroplasty on the affected side were selected. 30 of them used artificial intelligence 3D preoperative planning (trial group) and 30 used conventional X-ray film 2D preoperative planning (control group), and there were no statistically significant differences between the two groups in terms of gender, age, condition and other general data (P > 0.05). The actual intraoperative prosthesis placement and preoperative planning prosthesis matching, intraoperative operation time, intraoperative blood loss, bilateral femoral eccentric distance difference, bilateral joint eccentric distance difference and bilateral lower limb length difference, and Harris score at 3 months after operation were compared between the two groups, and the accuracy and application effect of the two preoperative plans were analyzed.
RESULTS AND CONCLUSION: (1) Patients in both groups were followed up for 4-6 months postoperatively. One patient in the control group had a posterior dislocation of the prosthesis at 5 days postoperatively, which recovered after performing manual repositioning without re-dislodgement. The rest of the patients did not have postoperative complications or postoperative death. (2) Complete matching rate of the prosthesis on the acetabular side and femoral side was significantly better in the trial group than that in the control group (P < 0.05). (3) Operation time and intraoperative blood loss were significantly less in the trial group than those in the control group (P < 0.05). (4) The difference in bilateral lower limb length between the two groups was statistically significant (P < 0.05), and the difference in bilateral femoral eccentric distance and bilateral joint eccentric distance was not statistically significant (P > 0.05). (5) Harris score of patients in the trial group was significantly higher than that in the control group 3 months after operation (P < 0.05). (6) These results confirm that compared with traditional film planning, artificial intelligence preoperative planning can predict the prosthesis type more accurately, shorten the operation time, reduce intraoperative blood loss, diminish the occurrence of postoperative bilateral lower limb inequality, and accelerate postoperative recovery.

Key words: artificial intelligence, total hip arthroplasty, preoperative planning, template measurement, prosthesis

CLC Number:

Min Meipeng, Wu Jin, URBA RAFI, Zhang Wenjie, Gao Jia, Wang Yunhua, He Bin, Fan Lei. Role and significance of artificial intelligence preoperative planning in total hip arthroplasty[J]. Chinese Journal of Tissue Engineering Research, 2024, 28(9): 1372-1377.

Figures/Tables 8

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