Purpose: The objective of this meta-analysis was to assess the influence of 3D printing technology on the open reduction and internal fixation (ORIF) of pelvic fractures from current randomized controlled trials and prospective comparative studies.
Methods: In this meta-analysis, we conducted electronic searches of Pubmed, Embase, Cochrane library, Web of Science and CNKI up to February 2020. We collected clinical controlled trials using 3D printing-assisted surgery and traditional techniques to assist in pelvic fractures, evaluating the quality of the included studies and extracting data. The data of operation time, blood loss, follow-up function (Majeed function score), quality of fracture reduction (Matta score) and complications (infection, screw loosening, pelvic instability, venous thromboembolism, sacral nerve injury) were extracted. Stata 12.0 software was used for our meta-analysis.
Results: Five RCTs and 2 prospective comparative studies met our inclusion criteria with 174 patients in the 3D printing group and 174 patients in the conventional group. There were significant differences in operation time [SMD = - 2.03], intraoperative blood loss [SMD = - 1.66] and postoperative complications [RR = 0.17] between the 3D group and conventional group. And the excellent and good rate of pelvic fracture reduction in the 3D group [RR = 1.32], the excellent and good rate of pelvic function [RR = 1.29] was superior to the conventional group.
Conclusions: The 3D group showed shorter operation time, less intraoperative blood loss, less complications, better quality of fracture reduction and fast function recovery. Therefore, compared with conventional ORIF, ORIF assisted by 3D printing technology should be a more appropriate treatment of pelvic fractures.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/s00068-020-01532-9 | DOI Listing |
J Orthop Surg Res
January 2025
Department of Orthopedic Surgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Yanchang Middle Road, Shanghai, 200072, People's Republic of China.
Background: Controversy exists regarding the reconstruction of bone defects in Enneking III. This study aimed to use the finite element analysis (FEA) method to clarify (1) the utility of reconstructing the pelvis Enneking III region and (2) the optimal approach for this reconstruction.
Methods: FEA models were generated for three types of Enneking III defects in the pelvis, replacing all the defect areas in region III with a sizable solid box for topology optimization (TO).
Eur J Trauma Emerg Surg
January 2025
Klinik für Orthopädie und Unfallchirurgie, UK-SH, Campus Kiel, Germany.
Background: Pelvic ring and acetabular fractures are among the most complicated and severe injury patterns in orthopaedic trauma surgery. Inpatient treatment is not only costly but also very time-consuming. The aim of this study is to identify predictors leading to a prolonged length of hospital stay.
View Article and Find Full Text PDFEur J Trauma Emerg Surg
January 2025
Department of Orthopaedic Surgery, Hyogo Prefectural Nishinomiya Hospital, 13-9, Rokutanji, Nishinomiya, 662-0918, Japan.
Purpose: Evaluating sacral fractures is crucial in fragility fractures of the pelvis. Dual-energy CT (DECT) is considered useful for diagnosing unclear fractures on single-energy CT (SECT). This study aims to investigate the effectiveness of DECT in diagnosing sacral fractures.
View Article and Find Full Text PDFExpert Rev Hematol
January 2025
Department of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Objective: Deep vein thrombosis (DVT) is a known complication of fractures. This study aimed to explore the genetic causal relationship between DVT and fracture sites.
Research Design And Methods: The exposures analyzed in this study included fracture of femur (FFE), fracture of lower leg, including ankle (FLLA), fracture of shoulder and upper arm (FSUA), fracture of forearm (FFO), fracture of rib, sternum and thoracic spine (FRSTS) and fracture of lumbar spine and pelvis (FLSP).
Bioengineering (Basel)
January 2025
Center for Artificial Intelligence Research, Wake Forest University School of Medicine, Winston-Salem, NC 27101, USA.
In a prospective study, we examined the recovery trajectory of patients with lower extremity fractures to better understand the healing process in the absence of complications. Using a chest-mounted inertial measurement unit (IMU) device for gait analysis and collecting patient-reported outcome measures, we focused on 12 key gait variables, including Mean Leg Lift Acceleration, Stance Time, and Body Orientation. We employed a linear mixed model (LMM) to analyze these variables over time, incorporating both fixed and random effects to account for individual differences and the time since injury.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!