Chinese Journal of Clinical Anatomy ›› 2024, Vol. 42 ›› Issue (2): 213-219.doi: 10.13418/j.issn.1001-165x.2024.2.17

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Retrospective cohort study on the accuracy and learning curve of sacroiliac screw implantation assisted by 3D printing during pelvic acetabular fracture

Chen Lin, Li Lei, Lan Jiapin , Wen Yang, Zhang Xulin, Liu Dong*   

  1. Department of  Orthopedics, Suining Central Hospital, Suining 629000, Sichuan Province, China
  • Received:2023-09-13 Online:2024-03-25 Published:2024-04-23

Abstract: Objective    To explore the accuracy and learning curve of sacroiliac screw implantation assisted by 3D printing technique in pelvic acetabular fracture.   Methods    A total of 112 patients with pelvic acetabular fractures treated in our hospital from January 2020 to January 2023 were selected and divided into a conventional group (n = 56) and a 3D printing group (n=56) according to whether 3D printing technique was used or not before operation. The clinical data of the two groups were compared. The correlation between the placement time of single sacroiliac screw and the number of surgical cases was analyzed by linear regression, and the learning curve of 3D printing technique was evaluated.    Results    The surgical time, insertion time of a single sacroiliac screw, and fracture healing time of the 3D printing group were significantly shorter than those of the conventional group. The intraoperative bleeding volume, perioperative blood transfusion volume, number of needle punctures, and intraoperative X-ray fluoroscopy frequency were significantly lower than those of the conventional group. The excellent and good rate of sacroiliac screw insertion position, postoperative fracture reduction, and hip joint function recovery were significantly higher than those of the conventional group (P<0.05). The results of linear regression analysis showed that there was a significant negative correlation between the insertion time of a single sacroiliac screw and the number of surgical cases in the 3D printing group and regular group (r=-0.842, -0.590, P<0.001). The regression equation of 3D printing group was insertion time of a single sacroiliac screw=69.839-4.413×Number of surgical cases, R2=0.709, and that of regular group was 16.243-0.111×Number of surgical cases, R2=0.348.    Conclusions   The application of 3D printing technology in the operation of pelvic acetabular fracture can significantly improve the accuracy of sacroiliac screw placement and increase the safety of operation, and with the increasing of the number of surgical cases, the nail placement time assisted by 3D printing technology is significantly shortened.

Key words: 3D printing technology; ,  , Pelvis acetabular fracture; ,  , Accuracy of sacroiliac screw placement; ,  , Learning curve

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