The Use of 3-Dimensional Modeling and Printing in Corrective Osteotomies of the Malunited Pediatric Forearm: A Systematic Review and Meta-Analysis.

IF 2 Q2 ORTHOPEDICS
Emma Fossett, Khaled Sarraf, Arash Afsharpad
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引用次数: 0

Abstract

Introduction: Forearm fractures contribute up to 40% of all pediatric fractures, with ≤39% of conservatively managed fractures resulting in malunion. Surgical management of malunion is challenging as precise calculation of multiplanar correction is required to obtain optimal outcomes. Advances in 3D computer modeling and printing have shown promising results in orthopaedics, reducing surgical time, blood loss, and fluoroscopy. This systematic review and meta-analysis are the first to explore the accuracy and functional outcome of 3D techniques in pediatric diaphyseal forearm malunion correction.

Methods: A systematic review was carried out according to PRISMA guidelines.

Results: Sixteen studies (44 patients) were included. Average 2D residual deformity was 1.84° (SD=1.68°). The average gain in range of movement (ROM) was 76.08° (SD=41.75°), with a statistically significant difference between osteotomies ≤12 months from injury and >12 months (96.36° vs. 64.91°, P = 0.027). Below a 2D residual deformity of 5.28°, no statistically significant difference on gain of ROM was found, indicating this as a nonconsequential residual deformity (P = 0.778). Multivariate regression analysis showed that 2D residual deformity and time to osteotomy only account for 6.3% gain in ROM, indicating that there are more factors to be researched.

Conclusion: This study found superior accuracy of 3D techniques, reporting lower residual deformities than published standard osteotomy data; however, the volume of literature was limited. Larger studies are required to explore additional factors that influence accuracy and ROM, such as 3D residual deformity and the effect of particular 3D printed adjuncts. This will aid clarity in determining superiority and improve cost-effectiveness.

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来源期刊
CiteScore
2.60
自引率
6.70%
发文量
282
审稿时长
8 weeks
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