| Literature DB >> 36195909 |
Jianan Chen1,2, Yifan Zheng1,2, Zhixun Fang1,2, Wei Zhou1, Dan Xu1, Guodong Wang1, Xianhua Cai1, Ximing Liu3.
Abstract
BACKGROUND: Posterior wall acetabular fractures remain one of the most difficult fracture injuries to treat. Accurate assessment of fracture characteristics and appropriate preoperative surgical strategies are essential for excellent reduction. This paper evaluates the feasibility and effectiveness of a one-stop computerized virtual planning system for the surgical management of posterior wall acetabular fractures.Entities:
Keywords: Acetabular fracture; Computerized; Posterior wall; Preoperative planning
Mesh:
Year: 2022 PMID: 36195909 PMCID: PMC9531475 DOI: 10.1186/s13018-022-03333-9
Source DB: PubMed Journal: J Orthop Surg Res ISSN: 1749-799X Impact factor: 2.677
Baseline characteristics of patients
| Variables | Group A ( | Group B ( | Test value | |
|---|---|---|---|---|
| Age (years) | 46.64 ± 11.07 | 42.81 ± 11.72 | t = 1.208 | 0.233 |
| Male | 16 | 17 | 0.938 | |
| Female | 9 | 10 | ||
| Fall from height | 6 | 5 | 0.873 | |
| Traffic accident | 16 | 19 | ||
| Other injuries | 3 | 3 | ||
| Left | 15 | 16 | 0.957 | |
| Right | 10 | 11 | ||
| Yes | 9 | 9 | 0.840 | |
| No | 16 | 18 | ||
| Hip dislocation | 17 | 18 | 0.918 | |
| Preoperative sciatic nerve damage | 5 | 4 | 0.621 | |
| Time to surgery (days) | 9.12 ± 3.59 | 8.26 ± 2.68 | 0.329 | |
Fig. 13D automatic segmentation for the virtual fracture model. The approximate extent of each part was marked with different colors on the 3D fracture model using the marker function (red arrow). After clicking the “segmentation key” (yellow arrow), the software segmentation processing started and then adjacent fragments were separated as individual parts in different colors (light blue, green, and yellow represented three individual fragments in the left acetabulum)
Fig. 2Simulation of fracture reduction. An anatomical reduction in all three planes was obtained by moving and rotating bone fragments
Fig. 3Simulation of internal fixation. a Fixation parameters were preset, including the width and thickness of plates and screw diameter. b The miniplate was put on the acetabular roof and the screw length near the acetabular rim was measured (red arrow). c–d. The reconstruction plates were automatically contoured onto the virtual bone surface and the required screws were inserted. e–f After the “X-ray model” (yellow arrow) was clicked, the screw placement was further confirmed to avoid intra-articular penetration and the precise length of the screw was recorded (red circle). g The reconstruction plates were contoured based on the 3D-printed template and then sterilized for surgical preparation
Fig. 4The outcomes of virtual preoperative planning were identical to the actual internal fixation mode and the cross-sectional CT image showed an anatomical reduction according to the Matta grading score
Fig. 5A 62-year-old man with posterior wall acetabular fractures underwent preoperative surgical planning using the one-stop computerized virtual planning system. The preoperative 3D-CT (a, b) and cross-sectional CT image (c) showed a comminuted fracture of the posterior wall of the left acetabulum with significant displacement. The left acetabulum with separate fragments (d) was 3D reconstructed virtually and then reduced anatomically (e). Virtual simulation of internal fixation (f, g) was conducted on the computer and the length of the mini-screw in dangerous areas was also measured (red arrow). Then, patient-specific reconstruction plates were ready for intra-operative placement with the aid of 3D-printed templates (h). Postoperative AP view (i), 3D-CT (j) and cross-sectional CT image (k) showed an anatomical reduction, with the mini-screw in a good position. Postoperative AP view (l) and the range of motion (m) at 30 months after surgery
Surgical and clinical outcomes
| Variables | Group A ( | Group B ( | Test value | |
|---|---|---|---|---|
| Software time (min) | 24.92 ± 3.70 | |||
| 3D printing time (min) | 125.80 ± 11.06 | |||
| Plate preparation time (min) | 10.44 ± 1.69 | |||
| Blood loss (ml) | 426.40 ± 141.93 | 555.93 ± 138.28 | 0.002 | |
| Surgical time (min) | 138.64 ± 42.37 | 182.26 ± 47.99 | 0.001 | |
| Instrumentation time (min) | 27.92 ± 10.84 | 48.19 ± 15.96 | 0.000 | |
| Anatomic | 22 (88.0%) | 21 (77.8%) | 0.337 | |
| Imperfect | 2 (8.0%) | 4 (14.8%) | ||
| Poor | 1 (4.0%) | 2 (7.4%) | ||
| Excellent | 16 (64.0%) | 15 (55.6%) | 0.535 | |
| Good | 7 (28.0%) | 9 (33.3%) | ||
| Fair | 1 (4.0%) | 2 (7.4%) | ||
| Poor | 1 (4.0%) | 1 (3.7%) | ||
| Yes | 4 (16.0%) | 7 (25.9%) | 0.381 | |
| No | 21 (84.0%) | 20 (74.1%) | ||
| Heterotopic ossification | 2 (8.0%) | 3 (11.1%) | ||
| Posttraumatic arthritis | 2 (8.0%) | 3 (11.1%) | ||
| Avascular necrosis of femoral head | 0 | 1 (3.7%) | ||